3D printing technology is a new type of precision forming technology and the core technology of the third industrial revolution.The powder-based 3D printing technology of titanium and its alloys have received great at...3D printing technology is a new type of precision forming technology and the core technology of the third industrial revolution.The powder-based 3D printing technology of titanium and its alloys have received great attention in biomedical applications since its advantages of custom manufacturing,costsaving,time-saving,and resource-saving potential.In particular,the personalized customization of 3D printing can meet specific needs and achieve precise control of micro-organization and structural design.The purpose of this review is to present the most advanced multi-material 3D printing methods for titanium-based biomaterials.We first reviewed the bone tissue engineering,the application of titanium alloy as bone substitutes and the development of manufacturing technology,which emphasized the advantages of 3D printing technology over traditional manufacturing methods.What is more,the optimization design of the hierarchical structure was analyzed to achieve the best mechanical properties,and the biocompatibility and osseointegration ability of the porous titanium alloy after implantation in living bodies was analyzed.Finally,we emphasized the development of digital tools such as artificial intelligence,which provides new ideas for the rational selection of processing parameters.The 3D printing titanium-based alloys will meet the huge market demand in the biomedical field,but there are still many challenges,such as the trade-off between high strength and low modulus,optimization of process parameters and structural design.We believe that the combination of mechanical models,machine learning,and metallurgical knowledge may shape the future of metal printing.展开更多
Artificial intelligence(AI)is emerging as a transformative enabler in the development of smart textile systems,particularly those integrating powder-based functional materials.This review highlights recent progress in...Artificial intelligence(AI)is emerging as a transformative enabler in the development of smart textile systems,particularly those integrating powder-based functional materials.This review highlights recent progress in AIguided design of carbon nanomaterials,metallic nanoparticles,and framework-based powders for applications in energy harvesting,intelligent sensing,and robotic actuation.Machine learning techniques,including supervised learning,transfer learning,and Bayesian optimization are discussed for accelerating materials discovery,enhancing integration strategies,and enabling real-time adaptive control.Emphasis is placed on how AI enables multifunctional,wearable platforms that sense,process,and respond to environmental and physiological cues with high accuracy and autonomy.Representative breakthroughs in soft robotics,haptic interfaces,and assistive devices are presented,demonstrating the synergy of AI and responsive textiles.Finally,the review outlines key challenges related to data scarcity,model generalizability,manufacturing scalability,and sustainability,while proposing future directions involving multimodal learning,autonomous experimentation,and ethics-aware design.This work offers a comprehensive outlook on next-generation AI-driven textile systems that seamlessly integrate intelligence,functionality,and wearability.展开更多
基金financial support provided by the National Key Research and Development Program of China(Grant No.2017YFB0701600)Key Program of Science and Technology of Yunnan Province(Grant No.202002AB080001-2)。
文摘3D printing technology is a new type of precision forming technology and the core technology of the third industrial revolution.The powder-based 3D printing technology of titanium and its alloys have received great attention in biomedical applications since its advantages of custom manufacturing,costsaving,time-saving,and resource-saving potential.In particular,the personalized customization of 3D printing can meet specific needs and achieve precise control of micro-organization and structural design.The purpose of this review is to present the most advanced multi-material 3D printing methods for titanium-based biomaterials.We first reviewed the bone tissue engineering,the application of titanium alloy as bone substitutes and the development of manufacturing technology,which emphasized the advantages of 3D printing technology over traditional manufacturing methods.What is more,the optimization design of the hierarchical structure was analyzed to achieve the best mechanical properties,and the biocompatibility and osseointegration ability of the porous titanium alloy after implantation in living bodies was analyzed.Finally,we emphasized the development of digital tools such as artificial intelligence,which provides new ideas for the rational selection of processing parameters.The 3D printing titanium-based alloys will meet the huge market demand in the biomedical field,but there are still many challenges,such as the trade-off between high strength and low modulus,optimization of process parameters and structural design.We believe that the combination of mechanical models,machine learning,and metallurgical knowledge may shape the future of metal printing.
基金supported by the National Natural Science Foundation of China(No.52373085,52573090 and U21A2095)Department of Science and Technology of Hubei Province(No.2025CSA001 and 2024CSA076),Outstanding Young and Middle-aged Scientific and Technology Innovation Team of Higher Education Institutions of Hubei Province(No.T2024010),Natural Science Foundation of Hubei Province(No.2023AFA828 and 2024AFB238)+2 种基金Innovative Team Program of Natural Science Foundation of Hubei Province(2023AFA027)Open Fund for Hubei Integrative Technology and Innovation Center for Advanced Fiberous Materials(XC202517)National Local Joint Laboratory for Advanced Textile Processing and Clean Production(FX20240005).
文摘Artificial intelligence(AI)is emerging as a transformative enabler in the development of smart textile systems,particularly those integrating powder-based functional materials.This review highlights recent progress in AIguided design of carbon nanomaterials,metallic nanoparticles,and framework-based powders for applications in energy harvesting,intelligent sensing,and robotic actuation.Machine learning techniques,including supervised learning,transfer learning,and Bayesian optimization are discussed for accelerating materials discovery,enhancing integration strategies,and enabling real-time adaptive control.Emphasis is placed on how AI enables multifunctional,wearable platforms that sense,process,and respond to environmental and physiological cues with high accuracy and autonomy.Representative breakthroughs in soft robotics,haptic interfaces,and assistive devices are presented,demonstrating the synergy of AI and responsive textiles.Finally,the review outlines key challenges related to data scarcity,model generalizability,manufacturing scalability,and sustainability,while proposing future directions involving multimodal learning,autonomous experimentation,and ethics-aware design.This work offers a comprehensive outlook on next-generation AI-driven textile systems that seamlessly integrate intelligence,functionality,and wearability.
