2D patterned hollow structures have emerged as advanced materials with exceptional mechanical properties and lightweight characteristics,making them ideal for high-performance applications in aerospace and automotive ...2D patterned hollow structures have emerged as advanced materials with exceptional mechanical properties and lightweight characteristics,making them ideal for high-performance applications in aerospace and automotive industries.However,optimizing their structural design to achieve uniform stress distribution and minimize stress concentration remains a significant challenge due to the complex interplay between geometric patterns and mechanical performance.In this study,we develop an integrated framework combining conditional generative adversarial networks(cGANs)and deep Q-networks(DQNs)to predict and optimize the stress fields of 2D-PHS.We generated a comprehensive dataet comprising 1000 samples across five distinct density classes using a custom grid pattern generation algorithm,ensuring a wide range of structural variations.The cGAN accurately predicts stress distributions,achieving a high correlation with finite element analysis(FEA)results while reducing computational time from approximately 40 s(FEA)to just 1-2 s per prediction.Concurrently,the DQN optimizes design parameters through scaling and rotation operations,enhancing structural performance based on predicted stress metrics.Our approach resulted in a 4.3%improvement in average stress uniformity and a 23.1%reduction in maximum stress concentration.These improvements were validated through FEA simulations and experimental tensile tests on 3D-printed thermoplastic polyurethane samples.The tensile strength of the optimized samples increased from an initial average of 5.9-6.6 MPa under 100%strain,demonstrating enhanced mechanical resilience.This study demonstrates the efficacy of combining advanced AI techniques for rapid and precise material design optimization,providing a scalable and cost-effective solution for developing superior lightweight materials with tailored mechanical properties for critical engineering applications.展开更多
Auspicious patterns are an important manifestation of traditional crafts aesthetics for Chinese culture, and it not only exhibits the clever tricks of folk art, showing more personality and characteristics of Chinese ...Auspicious patterns are an important manifestation of traditional crafts aesthetics for Chinese culture, and it not only exhibits the clever tricks of folk art, showing more personality and characteristics of Chinese culture in the humanities and arts aesthetic concerns. It shows the traditional aesthetics, based on the harmonious and success, constructed by intelligence and humbleness, shaped by symmetry and balance. This thesis contains two topics: they are the 2D image materialization and the 3D model flattening. First is analyzing the image of the auspicious pattern, and transformed the 2D image into a solid model. The second is through the mathematical operation skills of the geometric model, the existing auspicious 3D model of the triangular mesh is scaled, appropriately rotated and divided to form a flattening model of different visual effects. Finally, these models by means of other modeling software were combined into a new 3D model, then through the 3D printer to quickly print out part of the unique personalized products, to promote the natural beauty of traditional Chinese culture.展开更多
Pattern making plays a key role in the aspect of fashion design and garment production, as it serves as the transformative process that turns a simple drawing into a consistent accumulation of garments. The process of...Pattern making plays a key role in the aspect of fashion design and garment production, as it serves as the transformative process that turns a simple drawing into a consistent accumulation of garments. The process of creating conventional or manual patterns requires a significant amount of time and a specialized skill set in various areas such as grading, marker planning, and fabric utilization. This study examines the potential of 3D technology and virtual fashion designing software in optimizing the efficiency and cost-effectiveness of pattern production processes. The proposed methodology is characterized by a higher level of comprehensiveness and reliability, resulting in time efficiency and providing a diverse range of design options. The user is not expected to possess comprehensive knowledge of traditional pattern creation procedures prior to engaging in the task. The software offers a range of capabilities including draping, 3D-to-2D and 2D-to-3D unfolding, fabric drivability analysis, ease allowance calculation, add-fullness manipulation, style development, grading, and virtual garment try-on. The strategy will cause a shift in the viewpoints and methodologies of business professionals when it comes to the use of 3D fashion design software. Upon recognizing the potential time, financial, and resource-saving benefits associated with the integration of 3D technology into their design development process, individuals will be motivated to select for its utilization over conventional pattern making methods. Individuals will possess the capacity to transfer their cognitive processes and engage in introspection regarding their professional endeavors and current activities through the utilization of 3D virtual pattern-making and fashion design technologies. To enhance the efficacy and ecological sustainability of designs, designers have the potential to integrate 3D technology with virtual fashion software, thereby compliant advantages for both commercial enterprises and the environment.展开更多
基金supported by the National Natural Science Foundation of China(Grant Nos.52322305 and 52473098)the starting Grant of ShanghaiTech University,the Double First-Class Initiative Fund of ShanghaiTech University and the Shanghai Clinical Research and Trial Center.Materials were tested at the Analytical Instrumentation Center(Grant No.SPST-AIC10112914)the Center for High-resolution Electron Microscopy(C-hEM),SPST,ShanghaiTech University.
文摘2D patterned hollow structures have emerged as advanced materials with exceptional mechanical properties and lightweight characteristics,making them ideal for high-performance applications in aerospace and automotive industries.However,optimizing their structural design to achieve uniform stress distribution and minimize stress concentration remains a significant challenge due to the complex interplay between geometric patterns and mechanical performance.In this study,we develop an integrated framework combining conditional generative adversarial networks(cGANs)and deep Q-networks(DQNs)to predict and optimize the stress fields of 2D-PHS.We generated a comprehensive dataet comprising 1000 samples across five distinct density classes using a custom grid pattern generation algorithm,ensuring a wide range of structural variations.The cGAN accurately predicts stress distributions,achieving a high correlation with finite element analysis(FEA)results while reducing computational time from approximately 40 s(FEA)to just 1-2 s per prediction.Concurrently,the DQN optimizes design parameters through scaling and rotation operations,enhancing structural performance based on predicted stress metrics.Our approach resulted in a 4.3%improvement in average stress uniformity and a 23.1%reduction in maximum stress concentration.These improvements were validated through FEA simulations and experimental tensile tests on 3D-printed thermoplastic polyurethane samples.The tensile strength of the optimized samples increased from an initial average of 5.9-6.6 MPa under 100%strain,demonstrating enhanced mechanical resilience.This study demonstrates the efficacy of combining advanced AI techniques for rapid and precise material design optimization,providing a scalable and cost-effective solution for developing superior lightweight materials with tailored mechanical properties for critical engineering applications.
文摘Auspicious patterns are an important manifestation of traditional crafts aesthetics for Chinese culture, and it not only exhibits the clever tricks of folk art, showing more personality and characteristics of Chinese culture in the humanities and arts aesthetic concerns. It shows the traditional aesthetics, based on the harmonious and success, constructed by intelligence and humbleness, shaped by symmetry and balance. This thesis contains two topics: they are the 2D image materialization and the 3D model flattening. First is analyzing the image of the auspicious pattern, and transformed the 2D image into a solid model. The second is through the mathematical operation skills of the geometric model, the existing auspicious 3D model of the triangular mesh is scaled, appropriately rotated and divided to form a flattening model of different visual effects. Finally, these models by means of other modeling software were combined into a new 3D model, then through the 3D printer to quickly print out part of the unique personalized products, to promote the natural beauty of traditional Chinese culture.
文摘Pattern making plays a key role in the aspect of fashion design and garment production, as it serves as the transformative process that turns a simple drawing into a consistent accumulation of garments. The process of creating conventional or manual patterns requires a significant amount of time and a specialized skill set in various areas such as grading, marker planning, and fabric utilization. This study examines the potential of 3D technology and virtual fashion designing software in optimizing the efficiency and cost-effectiveness of pattern production processes. The proposed methodology is characterized by a higher level of comprehensiveness and reliability, resulting in time efficiency and providing a diverse range of design options. The user is not expected to possess comprehensive knowledge of traditional pattern creation procedures prior to engaging in the task. The software offers a range of capabilities including draping, 3D-to-2D and 2D-to-3D unfolding, fabric drivability analysis, ease allowance calculation, add-fullness manipulation, style development, grading, and virtual garment try-on. The strategy will cause a shift in the viewpoints and methodologies of business professionals when it comes to the use of 3D fashion design software. Upon recognizing the potential time, financial, and resource-saving benefits associated with the integration of 3D technology into their design development process, individuals will be motivated to select for its utilization over conventional pattern making methods. Individuals will possess the capacity to transfer their cognitive processes and engage in introspection regarding their professional endeavors and current activities through the utilization of 3D virtual pattern-making and fashion design technologies. To enhance the efficacy and ecological sustainability of designs, designers have the potential to integrate 3D technology with virtual fashion software, thereby compliant advantages for both commercial enterprises and the environment.
