The team of Han Jian and Shi Wentian published an article in the international top mechanical journal Journal of Manufacturing Processes
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Han Jian and Shi Wentian's team from the School of Computer Science and Artificial Intelligence published an article in the international top mechanical journal Journal of Manufacturing Processes
Additive manufacturing of titanium alloy components is commonly used in aerospace, biomedical and other fields, with extremely high requirements for machining accuracy and surface quality. By studying the machining effects of different cutting tools under different cutting conditions, the optimal process combination can be identified to improve machining efficiency and product quality. This is of great significance for improving the efficiency and quality of titanium alloy processing, reducing production costs, protecting the environment, and promoting manufacturing technology innovation.
This study textured a biomimetic microtexture on the surface of the cutting tool based on the scale pattern of the black Mamba snake abdomen. The performance of TC4 workpieces prepared by L-PBF using biomimetic microtexture tools, ordinary tools, and traditional pit textured tools under different cutting processes was compared. The results showed that under micro lubrication cutting conditions, biomimetic textured tools improved the surface quality of workpieces the best (the surface roughness of workpieces processed by biomimetic textured tools increased by 99.12%), consumed the lowest cutting force (the cutting force consumed by biomimetic textured tools was 31.54% lower than that of ordinary tools), and had the smallest degree of tool wear (the tool wear morphology of biomimetic textured tools was extremely small). This study contributes to promoting the development of traditional cutting technology towards high efficiency and environmental friendliness, bringing new technological innovations to the manufacturing industry.
This paper "Comparative study on cutting performance of different microtexturing milling tools for preparing the L-PBF-formed TC4 workpieces" was published by Associate Professor Han Jian and Professor Shi Wentian's team from the Department of Mechanical Engineering at the School of Computer and Artificial Intelligence in the Journal of Manufacturing Processes, which is a top journal in the first district of the Chinese Academy of Sciences, with an IF of 6.2.
