Nanjing’s determination to transform itself from a production base to a research center reflects China’s evolution toward higher-quality development.A refrigerator that thaws frozen meat in 10 minutes and then keeps...Nanjing’s determination to transform itself from a production base to a research center reflects China’s evolution toward higher-quality development.A refrigerator that thaws frozen meat in 10 minutes and then keeps it fresh,a cooker hood that remains clean even after 10 years without disassembling it for cleaning.展开更多
The moment a media delegation from the Republic of the Congo arrived at the Othello Kitchenware Museum on 18 November 2025,they were greeted with a vivid show of Guangdong’s industrial strength.Standing before them w...The moment a media delegation from the Republic of the Congo arrived at the Othello Kitchenware Museum on 18 November 2025,they were greeted with a vivid show of Guangdong’s industrial strength.Standing before them was not a typical exhibition hall,but a building shaped like a gleaming stainless-steel cooking pot.展开更多
Additive manufacturing(AM),with its high flexibility,cost-effectiveness,and customization,significantly accelerates the advancement of nanogenerators,contributing to sustainable energy solutions and the Internet of Th...Additive manufacturing(AM),with its high flexibility,cost-effectiveness,and customization,significantly accelerates the advancement of nanogenerators,contributing to sustainable energy solutions and the Internet of Things.In this review,an in-depth analysis of AM for piezoelectric and triboelectric nanogenerators is presented from the perspectives of fundamental mechanisms,recent advancements,and future prospects.It highlights AM-enabled advantages of versatility across materials,structural topology optimization,microstructure design,and integrated printing,which enhance critical performance indicators of nanogenerators,such as surface charge density and piezoelectric constant,thereby improving device performance compared to conventional fabrication.Common AM techniques for nanogenerators,including fused deposition modeling,direct ink writing,stereolithography,and digital light processing,are systematically examined in terms of their working principles,improved metrics(output voltage/current,power density),theoretical explanation,and application scopes.Hierarchical relationships connecting AM technologies with performance optimization and applications of nanogenerators are elucidated,providing a solid foundation for advancements in energy harvesting,self-powered sensors,wearable devices,and human-machine interaction.Furthermore,the challenges related to fabrication quality,cross-scale manufacturing,processing efficiency,and industrial deployment are critically discussed.Finally,the future prospects of AM for nanogenerators are explored,aiming to foster continuous progress and innovation in this field.展开更多
This study investigates a metal laser direct-writing additive manufacturing process for potential in-space applications.The feasibility of stable deposition under various gravitational conditions—specifically at angl...This study investigates a metal laser direct-writing additive manufacturing process for potential in-space applications.The feasibility of stable deposition under various gravitational conditions—specifically at angles of 0°,90°,and 180°between the deposition direction and gravitational acceleration,and under zero-gravity—is demonstrated.The analysis reveals that a stable metal deposition layer can be formed under different gravity conditions by establishing a strong liquid bridge connection with the substrate;however,the direction of gravitational acceleration significantly affects the cross-sectional morphology of the deposition layer.By comparing different parameters,it is found that the best cross-sectional morphology can be obtained when the wire feeding speed is 120 mm/min and the ratio to the moving speed is 1.0.Notably,a higher wire feeding rate correlates with an increased temperature gradient within the heat-affected zone.On this basis,a thin-walled cylindrical piece printed at a 90°angle between the deposition gravity directions exhibits an outer surface cylindricity of 0.294mm,a size deviation range of-0.168 mm to 0.126 mm,a maximum size deviation of 0.168 mm on the outer surface,and a surface roughness of less than 8.142μm.The results indicate that this process produces printed parts with high surface quality and geometric accuracy.Tensile tests on the printed parts demonstrate that they possess excellent mechanical properties.This study provides valuable insights and a meaningful exploration of future in-orbit metal manufacturing.展开更多
Intelligent manufacturing(IM),a driving force behind the fourth industrial revolution,is reshaping the manufacturing sector by enhancing productivity,efficiency,and sustainability.Despite the rapid technological advan...Intelligent manufacturing(IM),a driving force behind the fourth industrial revolution,is reshaping the manufacturing sector by enhancing productivity,efficiency,and sustainability.Despite the rapid technological advancements in IM,comprehensive bibliometric reviews remain limited.This article systematically reviews the latest research in IM,addressing emerging hotspots,key technologies,and their applications across the entire product manufacturing cycle.Bibliometric analysis is employed to identify research trends visualize publication volume,collaboration patterns,research domains,co-citations,and emerging areas of interest.The article then examines key technologies supporting IM,including sensors,the Internet of Things(IoT),big data analytics,cloud computing,artificial intelligence(AI),digital twins,and virtual reality(VR)/augmented reality(AR).Furthermore,it explores the application of these technologies throughout the manufacturing cycle-from intelligent reliability design,material transportation and tracking,to intelligent planning and scheduling,machining and fabrication,monitoring and maintenance,quality inspection and control,warehousing and management,and sustainable green manufacturing—through specific case studies.Lastly,the article discusses future research directions,highlighting the increasing global market and the need for enhanced interdisciplinary collaboration,technological integration,computing power upgrades,and attention to security and privacy in IM.This study provides valuable insights for scholars and serves as a guide for future research and strategic investment decisions,offering a comprehensive view of the IM field.展开更多
The functionally graded materials(FGMs)are obtained by various processes.Although a few FGMs are obtained naturally,such as oyster,pearl,and bamboo,additive manufacturing(AM),known as 3D printing,is a net-shaped manuf...The functionally graded materials(FGMs)are obtained by various processes.Although a few FGMs are obtained naturally,such as oyster,pearl,and bamboo,additive manufacturing(AM),known as 3D printing,is a net-shaped manufacturing process employed to manufacture complex 3D objects without tools,molds,assembly,and joining.Currently,commercial AM techniques mostly use homogeneous composition with simplified geometric descriptions,employing a single material across the entire component to achieve functional graded additive manufacturing(FGAM),in contrast to multi-material FGAM with heterogeneous structures.FGMs are widely used in various fields due to their mechanical property advantages.Because FGM plays a significant role in the industrial production,the characteristics and mechanical behaviour of FGMs prepared by AM were reviewed.In this review,the research on FGMs and AM over the past 30 years was reviewed,suggesting that future researchers should focus on the application of artificial intelligence and machine learning technologies in industry to optimize the process parameters of different gradient systems.展开更多
Additive Manufacturing(AM)has significantly impacted the development of high-performance materials and structures,offering new possibilities for industries ranging from aerospace to biomedicine.This special issue feat...Additive Manufacturing(AM)has significantly impacted the development of high-performance materials and structures,offering new possibilities for industries ranging from aerospace to biomedicine.This special issue features pioneering research that integrates AI-driven methods with AM,enabling the design and fabrication of complex,optimized structures with enhanced properties.展开更多
1.Data security in smart manufacturing The global manufacturing sector is undergoing a digital transformation as traditional systems-reliant on physical assets such as raw materials and labor-struggle to meet demands ...1.Data security in smart manufacturing The global manufacturing sector is undergoing a digital transformation as traditional systems-reliant on physical assets such as raw materials and labor-struggle to meet demands for greater flexibility and efficiency.The integration of advanced information technology facilitates smart manufacturing(SM),which optimizes production,management,and supply chains[1].展开更多
Additive manufacturing of aluminum(Al)alloys has attracted significant attention in the aerospace industry.However,achieving ultrahigh-strength(>500 MPa)Al alloys remains challenging due to their intrinsic poor pri...Additive manufacturing of aluminum(Al)alloys has attracted significant attention in the aerospace industry.However,achieving ultrahigh-strength(>500 MPa)Al alloys remains challenging due to their intrinsic poor printability.Here,we report a novel hybrid additive manufacturing(HAM)approach to process ultrahigh-strength AlMgSc alloy,which combines laser powder bed fusion(LPBF)with interlayer ultrasonic shot peening(USP).The results show that the interlayer ultrasonic shot peening depth reached∼700μm,leading to almost full density and residual stress convection from tension to compression.The HAM method promotes equiaxed grain formation and refines grain due to grain recrystallizations.Interestingly,the HAM followed by aging treatment tailors the hierarchically multi-gradient structures,inhibits Mg element intragranular segregation,and promotes the multi-nanoprecipitates(e.g.Al_(3)(Sc,Zr)and Al_(6)Mn)precipitation.Remarkably,the HAM followed by aging treatment achieves yield strength of 609 MPa and breaks elongation of 7.5%,demonstrating ultrahigh strength and good ductility compared with other Al alloys manufactured by AM and forging as reported in the literature.The strength enhancement mechanisms in this AlMgSc alloy are discussed.The high-density Al_(3)(Sc,Zr)precipitates are the main strengthening contributor,and unique hetero-deformation induced(HDI)strengthening(originates from the heterogeneous microstructures)further enhances the strength of the material.This work highlights a novel approach for processing complex-structured ultrahigh strength Al alloy components by hybrid additive manufacturing.展开更多
As the demand for intelligent and flexible production in the automotive manufacturing industry continues to intensify,industrial automation enterprises are gaining ever-greater market opportunities and competitive adv...As the demand for intelligent and flexible production in the automotive manufacturing industry continues to intensify,industrial automation enterprises are gaining ever-greater market opportunities and competitive advantages in this field.Based on a literature review and representative case studies,this paper constructs a theoretical framework for growth strategies and systematically analyzes the current application status and growth paths of automation enterprises in both complete vehicle and component production.The research finds that different growth strategies(such as vertical integration,horizontal diversification,and digital service transformation)exhibit varying applicability across upstream and downstream segments of automotive manufacturing,while simultaneously facing challenges related to technology integration,business models,and organizational change.In response to these issues,this paper proposes countermeasures such as optimizing R&D and customer relationship management,improving branding and after-sales service systems,and strengthening policy and industry environment support,thereby offering guidance for sustainable growth of industrial automation enterprises in the automotive manufacturing sector.展开更多
Additive manufacturing(AM)has emerged as one of the most utilized processes in manufacturing due to its ability to produce complex geometries with minimal material waste and greater design freedom.Laser-based AM(LAM)t...Additive manufacturing(AM)has emerged as one of the most utilized processes in manufacturing due to its ability to produce complex geometries with minimal material waste and greater design freedom.Laser-based AM(LAM)technologies use high-power lasers to melt metallic materials,which then solidify to form parts.However,it inherently induces self-equilibrating residual stress during fabrication due to thermal loads and plastic deformation.These residual stresses can cause defects such as delamination,cracking,and distortion,as well as premature failure under service conditions,necessitating mitigation.While post-treatment methods can reduce residual stresses,they are often costly and time-consuming.Therefore,tuning the fabrication process parameters presents a more feasible approach.Accordingly,in addition to providing a comprehensive view of residual stress by their classification,formation mechanisms,measurement methods,and common post-treatment,this paper reviews and compares the studies conducted on the effect of key parameters of the LAM process on the resulting residual stresses.This review focuses on proactively adjusting LAM process parameters as a strategic approach to mitigate residual stress formation.It provides a result of the various parameters influencing residual stress outcomes,such as laser power,scanning speed,beam diameter,hatch spacing,and scanning strategies.Finally,the paper identifies existing research gaps and proposes future studies needed to deepen understanding of the relationship between process parameters and residual stress mitigation in LAM.展开更多
Wire-feed direct metal deposition(DMD)additive manufacturing(AM)has demonstrated strong adaptability in microgravity environments,making it a preferred solution for in-situ space fabrication.However,space-oriented met...Wire-feed direct metal deposition(DMD)additive manufacturing(AM)has demonstrated strong adaptability in microgravity environments,making it a preferred solution for in-situ space fabrication.However,space-oriented metal AM faces significant constraints due to the high cost of Earth-to-space transport and must meet demanding requirements for miniaturization and low power consumption.This study proposes a metal fusion AM technique utilizing a Joule-laser hybrid heat source and investigates its forming mechanism and processing behavior.The influence of various process parameters on formation quality is thoroughly analyzed,and optimal conditions are identified.Experimental results indicate that,using a 0.3 mm diameter stainless steel wire,the hybrid heat source enables high-quality deposition at a low laser power of 50 W—reducing total power consumption by36%compared to single-laser wire melting.This study provides both theoretical and experimental support for developing low-power metal wire AM processes,contributing to the miniaturization and lightweighting of spaceborne AM equipment.展开更多
The utilization of lunar resources is critical for the long-term sustainability of China's lunar exploration missions.In-situ manufacturing and construction using lunar regolith as the primary feedstock can provid...The utilization of lunar resources is critical for the long-term sustainability of China's lunar exploration missions.In-situ manufacturing and construction using lunar regolith as the primary feedstock can provide essential support for establishing,operating,and maintaining lunar bases.This paper presents a comprehensive review of current lunar regolith forming technologies.These methods fall into two main categories,depending on whether Earth-based additives are required during the forming process.Direct forming technologies rely entirely on local materials and require minimal or no external input.In contrast,indirect forming technologies depend on additional binders or components transported from Earth.The advantages and limitations of each approach are analyzed across several dimensions,including technical principles,forming speed,forming precision,forming quality,environmental adaptability,energy consumption,and process simplicity.This paper evaluates the application potential of each method in two key lunar use cases:large-scale infrastructure construction and flexible manufacturing of fine-structured components.Based on this analysis,development trends and strategic recommendations are proposed to support the optimization and deployment of in-situ resource utilization-based lunar regolith forming technologies for diverse lunar surface applications.展开更多
Dear Editor,This letter focuses on the distributed cooperative regulation problem for a class of networked re-entrant manufacturing systems(RMSs).The networked system is structured with a three-tier architecture:the p...Dear Editor,This letter focuses on the distributed cooperative regulation problem for a class of networked re-entrant manufacturing systems(RMSs).The networked system is structured with a three-tier architecture:the production line,the manufacturing layer and the workshop layer.The dynamics of re-entrant production lines are governed by hyperbolic partial differential equations(PDEs)based on the law of mass conservation.展开更多
The additive manufacturing(AM)landscape has significantly transformed in alignment with Industry 4.0 principles,primarily driven by the integration of artificial intelligence(AI)and digital twins(DT).However,current i...The additive manufacturing(AM)landscape has significantly transformed in alignment with Industry 4.0 principles,primarily driven by the integration of artificial intelligence(AI)and digital twins(DT).However,current intelligent AM(IAM)systems face limitations such as fragmented AI tool usage and suboptimal human-machine interaction.This paper reviews existing IAM solutions,emphasizing control,monitoring,process autonomy,and end-to-end integration,and identifies key limitations,such as the absence of a high-level controller for global decision-making.To address these gaps,we propose a transition from IAM to autonomous AM,featuring a hierarchical framework with four integrated layers:knowledge,generative solution,operational,and cognitive.In the cognitive layer,AI agents notably enable machines to independently observe,analyze,plan,and execute operations that traditionally require human intervention.These capabilities streamline production processes and expand the possibilities for innovation,particularly in sectors like in-space manufacturing.Additionally,this paper discusses the role of AI in self-optimization and lifelong learning,positing that the future of AM will be characterized by a symbiotic relationship between human expertise and advanced autonomy,fostering a more adaptive,resilient manufacturing ecosystem.展开更多
This paper focuses on the roles of smart manufacturing and digital economy integration in driving the transformation and upgrading of the manufacturing industry.Smart manufacturing integrates advanced technologies suc...This paper focuses on the roles of smart manufacturing and digital economy integration in driving the transformation and upgrading of the manufacturing industry.Smart manufacturing integrates advanced technologies such as automation and digital twin,while digital economy takes data as the core driver.Many studies have shown that automation and digital twin technologies can effectively improve productivity,reduce costs and enhance production flexibility.The smart shop floor control system based on digital twin and IoT involves several key technologies such as digital twin integration interface,shop floor modeling and simulation analysis.The deep integration of these technologies not only improves production efficiency and product quality,but also optimizes resource allocation,reduces energy consumption,and provides strong support for the sustainable development of highend manufacturing.This study provides theoretical basis and practical guidance for the intelligent transformation of manufacturing industry.展开更多
In the pharmaceutical industry,model-based prediction is a crucial stage in process development that allows pharmaceutical companies to simulate different scenarios toward improving process efficiency,reducing costs,a...In the pharmaceutical industry,model-based prediction is a crucial stage in process development that allows pharmaceutical companies to simulate different scenarios toward improving process efficiency,reducing costs,and enhancing product quality.Nevertheless,ensuring the quality of formulated pharmaceutical products through the management of raw material variations has always been a challenging task.In this work,data-driven chance-constrained recurrent neural networks(CCRNNs)are developed to address the issue arising from raw material uncertainty.Our goal is to explore how,by proactively incorporating uncertainty into the model training process,more accurate predictions and enhanced robustness can be realized.The proposed approach is tested on a fluid bed dryer(FBD)from a continuous pharmaceutical manufacturing pilot plant.The results demonstrate that CCRNN models offer more robust and accurate predictions for the critical quality attribute(CQA)-in this case,moisture content-when material variations occur,compared with conventional recurrent neural network-based models.展开更多
A reasonable process plan is an important basis for implementing wire arc additive and subtractive hybrid manufacturing(ASHM),and a new optimization method is proposed.Firstly,the target parts and machining tools are ...A reasonable process plan is an important basis for implementing wire arc additive and subtractive hybrid manufacturing(ASHM),and a new optimization method is proposed.Firstly,the target parts and machining tools are modeled by level set functions.Secondly,the mathematical model of the additive direction optimization problem is established,and an improved particle swarm optimization algorithm is designed to decide the best additive direction.Then,the two-step strategy is used to plan the hybrid manufacturing alternating sequence.The target parts are directly divided into various processing regions;each processing region is optimized based on manufacturability and manufacturing efficiency,and the optimal hybrid manufacturing alternating sequence is obtained by merging some processing regions.Finally,the method is used to outline the process plan of the designed example model and applied to the actual hybrid manufacturing process of the model.The manufacturing result shows that the method can meet the main considerations in hybrid manufacturing.In addition,the degree of automation of process planning is high,and the dependence on manual intervention is low.展开更多
Atomic-level manufacturing,as the "keystone" of future technology,marks the transformative shift from the micro/nano era based on "classical theory" to the atomic era grounded in "quantum theo...Atomic-level manufacturing,as the "keystone" of future technology,marks the transformative shift from the micro/nano era based on "classical theory" to the atomic era grounded in "quantum theory".It enables the precise control of matter arrangement and composition at the atomic scale,thereby achieving large-scale production of atomically precise and structured products.Electrochemical deposition(ECD),a typical "atom addition" fabrication method for electrochemical atomic and close-to-atomic scale manufacturing(EC-ACSM),enables precise control over material properties at the atomic scale,allowing breakthroughs in revolutionary performance of semiconductors,quantum computing,new materials,nanomedicine,etc.This review explores the fundamentals of EC-ACSM,particularly at the electrode/electrolyte interface,and investigates maskless ECD techniques,highlighting their advantages,limitations,and the role of in situ monitoring and advanced simulations in the process optimization.However,atomic electrochemical deposition faces significant challenges in precise control over atom-ion interactions,electrode-electrolyte interfacial dynamics,and surface defects.In the future,overcoming these obstacles is critical to advancing EC-ACSM and unlocking its full potential in scalability for industrial applications.EC-ACSM can drive the highly customized design of materials and offer strong technological support for the development of future science,ushering in a new atomic era of material innovation and device manufacturing.展开更多
The production mode of manufacturing industry presents characteristics of multiple varieties,small-batch and personalization,leading to frequent disturbances in workshop.Traditional centralized scheduling methods are ...The production mode of manufacturing industry presents characteristics of multiple varieties,small-batch and personalization,leading to frequent disturbances in workshop.Traditional centralized scheduling methods are difficult to achieve efficient and real-time production management under dynamic disturbance.In order to improve the intelligence and adaptability of production scheduler,a novel distributed scheduling architecture is proposed,which has the ability to autonomously allocate tasks and handle disturbances.All production tasks are scheduled through autonomous collaboration and decision-making between intelligent machines.Firstly,the multi-agent technology is applied to build a self-organizing manufacturing system,enabling each machine to be equipped with the ability of active information interaction and joint-action execution.Secondly,various self-organizing collaboration strategies are designed to effectively facilitate cooperation and competition among multiple agents,thereby flexibly achieving global perception of environmental state.To ensure the adaptability and superiority of production decisions in dynamic environment,deep reinforcement learning is applied to build a smart production scheduler:Based on the perceived environment state,the scheduler intelligently generates the optimal production strategy to guide the task allocation and resource configuration.The feasibility and effectiveness of the proposed method are verified through three experimental scenarios using a discrete manufacturing workshop as the test bed.Compared to heuristic dispatching rules,the proposed method achieves an average performance improvement of 34.0%in three scenarios in terms of order tardiness.The proposed system can provide a new reference for the design of smart manufacturing systems.展开更多
文摘Nanjing’s determination to transform itself from a production base to a research center reflects China’s evolution toward higher-quality development.A refrigerator that thaws frozen meat in 10 minutes and then keeps it fresh,a cooker hood that remains clean even after 10 years without disassembling it for cleaning.
文摘The moment a media delegation from the Republic of the Congo arrived at the Othello Kitchenware Museum on 18 November 2025,they were greeted with a vivid show of Guangdong’s industrial strength.Standing before them was not a typical exhibition hall,but a building shaped like a gleaming stainless-steel cooking pot.
基金support from the Research Committee of The Hong Kong Polytechnic University(Project codes:RMJK and 4-ZZSJ)supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region,China(Project No.PolyU15212523).
文摘Additive manufacturing(AM),with its high flexibility,cost-effectiveness,and customization,significantly accelerates the advancement of nanogenerators,contributing to sustainable energy solutions and the Internet of Things.In this review,an in-depth analysis of AM for piezoelectric and triboelectric nanogenerators is presented from the perspectives of fundamental mechanisms,recent advancements,and future prospects.It highlights AM-enabled advantages of versatility across materials,structural topology optimization,microstructure design,and integrated printing,which enhance critical performance indicators of nanogenerators,such as surface charge density and piezoelectric constant,thereby improving device performance compared to conventional fabrication.Common AM techniques for nanogenerators,including fused deposition modeling,direct ink writing,stereolithography,and digital light processing,are systematically examined in terms of their working principles,improved metrics(output voltage/current,power density),theoretical explanation,and application scopes.Hierarchical relationships connecting AM technologies with performance optimization and applications of nanogenerators are elucidated,providing a solid foundation for advancements in energy harvesting,self-powered sensors,wearable devices,and human-machine interaction.Furthermore,the challenges related to fabrication quality,cross-scale manufacturing,processing efficiency,and industrial deployment are critically discussed.Finally,the future prospects of AM for nanogenerators are explored,aiming to foster continuous progress and innovation in this field.
文摘This study investigates a metal laser direct-writing additive manufacturing process for potential in-space applications.The feasibility of stable deposition under various gravitational conditions—specifically at angles of 0°,90°,and 180°between the deposition direction and gravitational acceleration,and under zero-gravity—is demonstrated.The analysis reveals that a stable metal deposition layer can be formed under different gravity conditions by establishing a strong liquid bridge connection with the substrate;however,the direction of gravitational acceleration significantly affects the cross-sectional morphology of the deposition layer.By comparing different parameters,it is found that the best cross-sectional morphology can be obtained when the wire feeding speed is 120 mm/min and the ratio to the moving speed is 1.0.Notably,a higher wire feeding rate correlates with an increased temperature gradient within the heat-affected zone.On this basis,a thin-walled cylindrical piece printed at a 90°angle between the deposition gravity directions exhibits an outer surface cylindricity of 0.294mm,a size deviation range of-0.168 mm to 0.126 mm,a maximum size deviation of 0.168 mm on the outer surface,and a surface roughness of less than 8.142μm.The results indicate that this process produces printed parts with high surface quality and geometric accuracy.Tensile tests on the printed parts demonstrate that they possess excellent mechanical properties.This study provides valuable insights and a meaningful exploration of future in-orbit metal manufacturing.
基金Supported by National Natural Science Foundation of China(Grant Nos.52375447,52305477 and 52105457)the Shandong Provincial Natural Science Foundation of China(Grant Nos.ZR2023QE057,ZR2024QE100 and ZR2024ME255)+2 种基金Qingdao Municipal Science and Technology Planning Park Cultivation Plan(Grant No.23-1-5-yqpy-17-qy)Shandong Provincial Science and Technology SMEs Innovation Capacity Improvement Project(Grant No.2022TSGC1115)the Special Fund of Taishan Scholars Project。
文摘Intelligent manufacturing(IM),a driving force behind the fourth industrial revolution,is reshaping the manufacturing sector by enhancing productivity,efficiency,and sustainability.Despite the rapid technological advancements in IM,comprehensive bibliometric reviews remain limited.This article systematically reviews the latest research in IM,addressing emerging hotspots,key technologies,and their applications across the entire product manufacturing cycle.Bibliometric analysis is employed to identify research trends visualize publication volume,collaboration patterns,research domains,co-citations,and emerging areas of interest.The article then examines key technologies supporting IM,including sensors,the Internet of Things(IoT),big data analytics,cloud computing,artificial intelligence(AI),digital twins,and virtual reality(VR)/augmented reality(AR).Furthermore,it explores the application of these technologies throughout the manufacturing cycle-from intelligent reliability design,material transportation and tracking,to intelligent planning and scheduling,machining and fabrication,monitoring and maintenance,quality inspection and control,warehousing and management,and sustainable green manufacturing—through specific case studies.Lastly,the article discusses future research directions,highlighting the increasing global market and the need for enhanced interdisciplinary collaboration,technological integration,computing power upgrades,and attention to security and privacy in IM.This study provides valuable insights for scholars and serves as a guide for future research and strategic investment decisions,offering a comprehensive view of the IM field.
文摘The functionally graded materials(FGMs)are obtained by various processes.Although a few FGMs are obtained naturally,such as oyster,pearl,and bamboo,additive manufacturing(AM),known as 3D printing,is a net-shaped manufacturing process employed to manufacture complex 3D objects without tools,molds,assembly,and joining.Currently,commercial AM techniques mostly use homogeneous composition with simplified geometric descriptions,employing a single material across the entire component to achieve functional graded additive manufacturing(FGAM),in contrast to multi-material FGAM with heterogeneous structures.FGMs are widely used in various fields due to their mechanical property advantages.Because FGM plays a significant role in the industrial production,the characteristics and mechanical behaviour of FGMs prepared by AM were reviewed.In this review,the research on FGMs and AM over the past 30 years was reviewed,suggesting that future researchers should focus on the application of artificial intelligence and machine learning technologies in industry to optimize the process parameters of different gradient systems.
文摘Additive Manufacturing(AM)has significantly impacted the development of high-performance materials and structures,offering new possibilities for industries ranging from aerospace to biomedicine.This special issue features pioneering research that integrates AI-driven methods with AM,enabling the design and fabrication of complex,optimized structures with enhanced properties.
基金supported in part by the National Natural Science Foundation of China(62293511 and 62402256)in part by the Shandong Provincial Natural Science Foundation of China(ZR2024MF100)+1 种基金in part by the Taishan Scholars Program(tsqn202408239)in part by the Open Research Project of the State Key Laboratory of Industrial Control Technology,Zhejiang University,China(ICT2025B13).
文摘1.Data security in smart manufacturing The global manufacturing sector is undergoing a digital transformation as traditional systems-reliant on physical assets such as raw materials and labor-struggle to meet demands for greater flexibility and efficiency.The integration of advanced information technology facilitates smart manufacturing(SM),which optimizes production,management,and supply chains[1].
基金supported by the National Natural Science Foundation of China(Grant No:52475484)National Key R&D Program of China(Grant No:2022YFB4600800)the 2022 MTC Young Individual Research Grants(Grant No:M22K3c0097)under the Singapore RIE 2025 Plan.
文摘Additive manufacturing of aluminum(Al)alloys has attracted significant attention in the aerospace industry.However,achieving ultrahigh-strength(>500 MPa)Al alloys remains challenging due to their intrinsic poor printability.Here,we report a novel hybrid additive manufacturing(HAM)approach to process ultrahigh-strength AlMgSc alloy,which combines laser powder bed fusion(LPBF)with interlayer ultrasonic shot peening(USP).The results show that the interlayer ultrasonic shot peening depth reached∼700μm,leading to almost full density and residual stress convection from tension to compression.The HAM method promotes equiaxed grain formation and refines grain due to grain recrystallizations.Interestingly,the HAM followed by aging treatment tailors the hierarchically multi-gradient structures,inhibits Mg element intragranular segregation,and promotes the multi-nanoprecipitates(e.g.Al_(3)(Sc,Zr)and Al_(6)Mn)precipitation.Remarkably,the HAM followed by aging treatment achieves yield strength of 609 MPa and breaks elongation of 7.5%,demonstrating ultrahigh strength and good ductility compared with other Al alloys manufactured by AM and forging as reported in the literature.The strength enhancement mechanisms in this AlMgSc alloy are discussed.The high-density Al_(3)(Sc,Zr)precipitates are the main strengthening contributor,and unique hetero-deformation induced(HDI)strengthening(originates from the heterogeneous microstructures)further enhances the strength of the material.This work highlights a novel approach for processing complex-structured ultrahigh strength Al alloy components by hybrid additive manufacturing.
文摘As the demand for intelligent and flexible production in the automotive manufacturing industry continues to intensify,industrial automation enterprises are gaining ever-greater market opportunities and competitive advantages in this field.Based on a literature review and representative case studies,this paper constructs a theoretical framework for growth strategies and systematically analyzes the current application status and growth paths of automation enterprises in both complete vehicle and component production.The research finds that different growth strategies(such as vertical integration,horizontal diversification,and digital service transformation)exhibit varying applicability across upstream and downstream segments of automotive manufacturing,while simultaneously facing challenges related to technology integration,business models,and organizational change.In response to these issues,this paper proposes countermeasures such as optimizing R&D and customer relationship management,improving branding and after-sales service systems,and strengthening policy and industry environment support,thereby offering guidance for sustainable growth of industrial automation enterprises in the automotive manufacturing sector.
文摘Additive manufacturing(AM)has emerged as one of the most utilized processes in manufacturing due to its ability to produce complex geometries with minimal material waste and greater design freedom.Laser-based AM(LAM)technologies use high-power lasers to melt metallic materials,which then solidify to form parts.However,it inherently induces self-equilibrating residual stress during fabrication due to thermal loads and plastic deformation.These residual stresses can cause defects such as delamination,cracking,and distortion,as well as premature failure under service conditions,necessitating mitigation.While post-treatment methods can reduce residual stresses,they are often costly and time-consuming.Therefore,tuning the fabrication process parameters presents a more feasible approach.Accordingly,in addition to providing a comprehensive view of residual stress by their classification,formation mechanisms,measurement methods,and common post-treatment,this paper reviews and compares the studies conducted on the effect of key parameters of the LAM process on the resulting residual stresses.This review focuses on proactively adjusting LAM process parameters as a strategic approach to mitigate residual stress formation.It provides a result of the various parameters influencing residual stress outcomes,such as laser power,scanning speed,beam diameter,hatch spacing,and scanning strategies.Finally,the paper identifies existing research gaps and proposes future studies needed to deepen understanding of the relationship between process parameters and residual stress mitigation in LAM.
基金supported by Key Research and Development Program of Sichuan province(Grant No.2025YFHZ0051)Open Fund of State Key Laboratory for Manufacturing Systems Engineering(Grant No.sk1ms2024008)。
文摘Wire-feed direct metal deposition(DMD)additive manufacturing(AM)has demonstrated strong adaptability in microgravity environments,making it a preferred solution for in-situ space fabrication.However,space-oriented metal AM faces significant constraints due to the high cost of Earth-to-space transport and must meet demanding requirements for miniaturization and low power consumption.This study proposes a metal fusion AM technique utilizing a Joule-laser hybrid heat source and investigates its forming mechanism and processing behavior.The influence of various process parameters on formation quality is thoroughly analyzed,and optimal conditions are identified.Experimental results indicate that,using a 0.3 mm diameter stainless steel wire,the hybrid heat source enables high-quality deposition at a low laser power of 50 W—reducing total power consumption by36%compared to single-laser wire melting.This study provides both theoretical and experimental support for developing low-power metal wire AM processes,contributing to the miniaturization and lightweighting of spaceborne AM equipment.
基金supported by International Partnership Program of the Chinese Academy of Sciences(Grant No.310GJH2024010GC)National Natural Science Foundation of China(Grant No.52005479),China Building Materials Federation(Grant No.2023JBGS0401)+1 种基金Beijing Municipal Natural Science Foundation(Grant No.2244111)Director’s Fund of Technology and Engineering Center for Space Utilization(Grant No.CAS T4035711XY)。
文摘The utilization of lunar resources is critical for the long-term sustainability of China's lunar exploration missions.In-situ manufacturing and construction using lunar regolith as the primary feedstock can provide essential support for establishing,operating,and maintaining lunar bases.This paper presents a comprehensive review of current lunar regolith forming technologies.These methods fall into two main categories,depending on whether Earth-based additives are required during the forming process.Direct forming technologies rely entirely on local materials and require minimal or no external input.In contrast,indirect forming technologies depend on additional binders or components transported from Earth.The advantages and limitations of each approach are analyzed across several dimensions,including technical principles,forming speed,forming precision,forming quality,environmental adaptability,energy consumption,and process simplicity.This paper evaluates the application potential of each method in two key lunar use cases:large-scale infrastructure construction and flexible manufacturing of fine-structured components.Based on this analysis,development trends and strategic recommendations are proposed to support the optimization and deployment of in-situ resource utilization-based lunar regolith forming technologies for diverse lunar surface applications.
文摘Dear Editor,This letter focuses on the distributed cooperative regulation problem for a class of networked re-entrant manufacturing systems(RMSs).The networked system is structured with a three-tier architecture:the production line,the manufacturing layer and the workshop layer.The dynamics of re-entrant production lines are governed by hyperbolic partial differential equations(PDEs)based on the law of mass conservation.
基金funded by the MUREP High Volume project(80NSSC22M0132)through the U.S.NASA Office of STEM Engagementthe SMART IAC Project(DE-EE0009726)through the U.S.Department of Energy Office of Manufacturing and Energy Supply Chainssupport of San Diego Supercomputer Center(SDSC)National Research Platform(NRP)Nautilus sponsored by the U.S.NSF(2100237,2120019)。
文摘The additive manufacturing(AM)landscape has significantly transformed in alignment with Industry 4.0 principles,primarily driven by the integration of artificial intelligence(AI)and digital twins(DT).However,current intelligent AM(IAM)systems face limitations such as fragmented AI tool usage and suboptimal human-machine interaction.This paper reviews existing IAM solutions,emphasizing control,monitoring,process autonomy,and end-to-end integration,and identifies key limitations,such as the absence of a high-level controller for global decision-making.To address these gaps,we propose a transition from IAM to autonomous AM,featuring a hierarchical framework with four integrated layers:knowledge,generative solution,operational,and cognitive.In the cognitive layer,AI agents notably enable machines to independently observe,analyze,plan,and execute operations that traditionally require human intervention.These capabilities streamline production processes and expand the possibilities for innovation,particularly in sectors like in-space manufacturing.Additionally,this paper discusses the role of AI in self-optimization and lifelong learning,positing that the future of AM will be characterized by a symbiotic relationship between human expertise and advanced autonomy,fostering a more adaptive,resilient manufacturing ecosystem.
文摘This paper focuses on the roles of smart manufacturing and digital economy integration in driving the transformation and upgrading of the manufacturing industry.Smart manufacturing integrates advanced technologies such as automation and digital twin,while digital economy takes data as the core driver.Many studies have shown that automation and digital twin technologies can effectively improve productivity,reduce costs and enhance production flexibility.The smart shop floor control system based on digital twin and IoT involves several key technologies such as digital twin integration interface,shop floor modeling and simulation analysis.The deep integration of these technologies not only improves production efficiency and product quality,but also optimizes resource allocation,reduces energy consumption,and provides strong support for the sustainable development of highend manufacturing.This study provides theoretical basis and practical guidance for the intelligent transformation of manufacturing industry.
基金Financial support from the Engineering and Physical Sciences Research Council grant EP/V034723/1(RiFTMaP)is gratefully acknowledged.
文摘In the pharmaceutical industry,model-based prediction is a crucial stage in process development that allows pharmaceutical companies to simulate different scenarios toward improving process efficiency,reducing costs,and enhancing product quality.Nevertheless,ensuring the quality of formulated pharmaceutical products through the management of raw material variations has always been a challenging task.In this work,data-driven chance-constrained recurrent neural networks(CCRNNs)are developed to address the issue arising from raw material uncertainty.Our goal is to explore how,by proactively incorporating uncertainty into the model training process,more accurate predictions and enhanced robustness can be realized.The proposed approach is tested on a fluid bed dryer(FBD)from a continuous pharmaceutical manufacturing pilot plant.The results demonstrate that CCRNN models offer more robust and accurate predictions for the critical quality attribute(CQA)-in this case,moisture content-when material variations occur,compared with conventional recurrent neural network-based models.
基金The National Natural Science Foundation of China(No.52305381)the Natural Science Foundation of Jiangsu Province(No.BK20210351)the Fundamental Research Funds for the Central Universities(No.30923011008).
文摘A reasonable process plan is an important basis for implementing wire arc additive and subtractive hybrid manufacturing(ASHM),and a new optimization method is proposed.Firstly,the target parts and machining tools are modeled by level set functions.Secondly,the mathematical model of the additive direction optimization problem is established,and an improved particle swarm optimization algorithm is designed to decide the best additive direction.Then,the two-step strategy is used to plan the hybrid manufacturing alternating sequence.The target parts are directly divided into various processing regions;each processing region is optimized based on manufacturability and manufacturing efficiency,and the optimal hybrid manufacturing alternating sequence is obtained by merging some processing regions.Finally,the method is used to outline the process plan of the designed example model and applied to the actual hybrid manufacturing process of the model.The manufacturing result shows that the method can meet the main considerations in hybrid manufacturing.In addition,the degree of automation of process planning is high,and the dependence on manual intervention is low.
基金the support from the National Natural Science Foundation of China (Grant Nos. 52405447 and 52275299)the National Key Research and Development Program of China (Grant No. 2021YFB1716200)the Key Research and Development Program of Jiangxi Province in China (Grant No. 20232BBE50011)。
文摘Atomic-level manufacturing,as the "keystone" of future technology,marks the transformative shift from the micro/nano era based on "classical theory" to the atomic era grounded in "quantum theory".It enables the precise control of matter arrangement and composition at the atomic scale,thereby achieving large-scale production of atomically precise and structured products.Electrochemical deposition(ECD),a typical "atom addition" fabrication method for electrochemical atomic and close-to-atomic scale manufacturing(EC-ACSM),enables precise control over material properties at the atomic scale,allowing breakthroughs in revolutionary performance of semiconductors,quantum computing,new materials,nanomedicine,etc.This review explores the fundamentals of EC-ACSM,particularly at the electrode/electrolyte interface,and investigates maskless ECD techniques,highlighting their advantages,limitations,and the role of in situ monitoring and advanced simulations in the process optimization.However,atomic electrochemical deposition faces significant challenges in precise control over atom-ion interactions,electrode-electrolyte interfacial dynamics,and surface defects.In the future,overcoming these obstacles is critical to advancing EC-ACSM and unlocking its full potential in scalability for industrial applications.EC-ACSM can drive the highly customized design of materials and offer strong technological support for the development of future science,ushering in a new atomic era of material innovation and device manufacturing.
基金supported by the Scientific Research Foundation of Nanjing Institute of Technology(No.YKJ202425)the National Natural Science Foundation of China(No.72301130).
文摘The production mode of manufacturing industry presents characteristics of multiple varieties,small-batch and personalization,leading to frequent disturbances in workshop.Traditional centralized scheduling methods are difficult to achieve efficient and real-time production management under dynamic disturbance.In order to improve the intelligence and adaptability of production scheduler,a novel distributed scheduling architecture is proposed,which has the ability to autonomously allocate tasks and handle disturbances.All production tasks are scheduled through autonomous collaboration and decision-making between intelligent machines.Firstly,the multi-agent technology is applied to build a self-organizing manufacturing system,enabling each machine to be equipped with the ability of active information interaction and joint-action execution.Secondly,various self-organizing collaboration strategies are designed to effectively facilitate cooperation and competition among multiple agents,thereby flexibly achieving global perception of environmental state.To ensure the adaptability and superiority of production decisions in dynamic environment,deep reinforcement learning is applied to build a smart production scheduler:Based on the perceived environment state,the scheduler intelligently generates the optimal production strategy to guide the task allocation and resource configuration.The feasibility and effectiveness of the proposed method are verified through three experimental scenarios using a discrete manufacturing workshop as the test bed.Compared to heuristic dispatching rules,the proposed method achieves an average performance improvement of 34.0%in three scenarios in terms of order tardiness.The proposed system can provide a new reference for the design of smart manufacturing systems.
