To improve the inadequate Infiltration performance during the process of large arc length grinding,this study proposes a novel minimum quantity lubrication(MQL)grinding method based on magnetic traction nano-lu-bricat...To improve the inadequate Infiltration performance during the process of large arc length grinding,this study proposes a novel minimum quantity lubrication(MQL)grinding method based on magnetic traction nano-lu-brication(MTN).By utilizing magnetic fields to enhance lubricant wettability in the grinding zone,the proposed approach improves friction-reduction and anti-wear performance in high-temperature and high-friction en-vironments.A simulated grinding platform was established to investigate the tribological behavior of MTN through systematic friction and wear experiments.First,a novel Fe_(3)O_(4)/graphene magnetic nano-lubricant was synthesized,and the influence of magnetic field strength on its viscosity was investigated.Subsequently,an experimental validation study of the magnetic nanolubricant was conducted,comparing the properties of composite magnetic nanoparticles at different concentrations.Results showed that the friction coefficient curve of the hybrid nano-lubricant was significantly smoother,abrasion mark width was substantially reduced,and surface adhesion was markedly improved.Finally,an optimization study on the ratio of Fe3O4/GR was con-ducted to achieve optimal performance and economic efficiency.At a 2:1 Fe_(3)O_(4)/GR ratio,the lubricant de-monstrated the lowest average friction coefficient(0.32),the smallest wear area(6146μm^(2)),and the best surface roughness(1.64μm).This method offers a promising strategy and experimental basis for optimizing lubrication technology in precision machining.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 Erdaogou fault,also known as the 101 fault,comprises the most important NE strike component in the ore-controlling system in the Qingchengzi orefield,Liaodong Peninsula.Due to the poor outcrop conditions in the fi...The Erdaogou fault,also known as the 101 fault,comprises the most important NE strike component in the ore-controlling system in the Qingchengzi orefield,Liaodong Peninsula.Due to the poor outcrop conditions in the field,the Erdaogou fault lacks activity time constraint.We demonstrate the constraint activity time of the fault since we observe a lamprophyre that was cut through by the Erdaogou fault in the Taoyuan area,central to the Qingchengzi orefield.Zircon grains from the lamprophyre dyke exhibit typical oscillatory zoning and yield weighted mean U–Pb age of 223.8±1.1 Ma(MSWD=1.5).The lower activity time limit of the Erdaogou fault is thus first constrained as 224 Ma or so and is correlated with the crystallization age of the Xinling and Shuangdinggou plutons within the orefield.Taking previous mineralization studies into consideration,a Triassic tectonic-magmatism-mineralization model is approved in the Qingchengzi orefield.展开更多
基金Supported by Shandong Provincial Natural Science Foundation of China(Grant Nos.ZR2024QE100,ZR2024ME255)National Natural Science Foundation of China(Grant No.52475469)Special Fund of Taishan Scholars Project of China(Grant No.tsqn202211179).
文摘To improve the inadequate Infiltration performance during the process of large arc length grinding,this study proposes a novel minimum quantity lubrication(MQL)grinding method based on magnetic traction nano-lu-brication(MTN).By utilizing magnetic fields to enhance lubricant wettability in the grinding zone,the proposed approach improves friction-reduction and anti-wear performance in high-temperature and high-friction en-vironments.A simulated grinding platform was established to investigate the tribological behavior of MTN through systematic friction and wear experiments.First,a novel Fe_(3)O_(4)/graphene magnetic nano-lubricant was synthesized,and the influence of magnetic field strength on its viscosity was investigated.Subsequently,an experimental validation study of the magnetic nanolubricant was conducted,comparing the properties of composite magnetic nanoparticles at different concentrations.Results showed that the friction coefficient curve of the hybrid nano-lubricant was significantly smoother,abrasion mark width was substantially reduced,and surface adhesion was markedly improved.Finally,an optimization study on the ratio of Fe3O4/GR was con-ducted to achieve optimal performance and economic efficiency.At a 2:1 Fe_(3)O_(4)/GR ratio,the lubricant de-monstrated the lowest average friction coefficient(0.32),the smallest wear area(6146μm^(2)),and the best surface roughness(1.64μm).This method offers a promising strategy and experimental basis for optimizing lubrication technology in precision machining.
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.
基金financially supported by the National Key Research and Development Program of China (Grant No. 2018YFC0603804, 2016YFC0600108)Geological Survey Project of China (Grant No. DD20190156)the China Scholarship Council
文摘The Erdaogou fault,also known as the 101 fault,comprises the most important NE strike component in the ore-controlling system in the Qingchengzi orefield,Liaodong Peninsula.Due to the poor outcrop conditions in the field,the Erdaogou fault lacks activity time constraint.We demonstrate the constraint activity time of the fault since we observe a lamprophyre that was cut through by the Erdaogou fault in the Taoyuan area,central to the Qingchengzi orefield.Zircon grains from the lamprophyre dyke exhibit typical oscillatory zoning and yield weighted mean U–Pb age of 223.8±1.1 Ma(MSWD=1.5).The lower activity time limit of the Erdaogou fault is thus first constrained as 224 Ma or so and is correlated with the crystallization age of the Xinling and Shuangdinggou plutons within the orefield.Taking previous mineralization studies into consideration,a Triassic tectonic-magmatism-mineralization model is approved in the Qingchengzi orefield.
