Component design("digitalization"),performance optimization("optimization"),and process simulation("simulation")are three critical modules in the 3D printing process."Dig-italization"refers to the transformation of design drawings or pre-processed physical objects into editable digital components through means such as images,videos,and scanning pro-cesses."Optimization"involves the application of constraints from physical fields such as mechanics and thermodynamics to enhance the performance of digital components."Simu-lation"entails the digital simulation and twin modeling of physicochemical changes during the manufacturing process,based on the optimized components,to emulate real-world phys-ical conditions.This research aims to introduce integrated modeling and algorithmic studies in design,optimization,and simulation within the phase field framework.In the"digital-ization"module,we will present three-dimensional reconstruction models,repair models,and lightweight support structure design models that correspond to common data type-s in computer-aided design.In the"optimization"module,we will introduce a series of multi-scale,multi-physical field,and multi-material coupled topology optimization problems and their corresponding solutions.In the"simulation"module,we will discuss macroscopic(phase transition)to microscopic(grain boundary)scale coupling theories and the physical field couplings such as laser-thermal-flow-solid,in addition to simulating methods for process-es like Fused Deposition Modeling(FDM)and Selective Laser Melting(SLM),integrating 3D printing parameters and techniques.The integrated research approach to design,optimiza-tion,and simulation based on the phase field model framework aims to shorten the product development cycle,enhance design efficiency,and provide a theoretical basis and algorithmic support for quality traceability and root cause analysis of 3D printed components.
关键词
3D打印/相场模型/制件设计/性能优化/工艺仿真
Key words
3D printing/Phase field modeling/Component design/Performance opti-mization/Numerical simulation