Research Progress on Data-Driven Selective Laser Melting Forming Performance Optimization and Intelligent Process Recommendation System
Selective laser melting(SLM)is a revolutionary metal additive manufacturing technology,and traditional methods make it extremely hard to achieve coordinated optimization of multiple performance items and intelligent process recommendations for SLM parts.This paper reports the progress of emerging data-driven methods in optimizing SLM forming performance and exploring forming mechanisms.Firstly,it is clarified that the data-driven approach has become a trend choice for promoting the SLM forming of high-performance parts;Secondly,the optimizations of single-performance and multi-performance objectives for SLM parts are reported,and the existing challenges are summarized and optimization directions are pointed out.A universal data-driven SLM intelligent process parameter recommendation system research framework,construction procedure,and multi-dimensional evaluation criteria are proposed;Once again,the data-driven SLM forming mechanism is summarized and the development direction is elucidated.Finally,the current challenges and development trends of data-driven SLM are discussed.By summarizing the optimization of forming performance and forming mechanism,the aim is to promote the intelligent development of additive manufacturing process optimization,and the high-quality and high-performance combinations development of SLM formed components.
万方数据
维普
