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基于Logistic回归模型的TC4零件激光熔化沉积工艺参数分析(英文) 被引量:1
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作者 KONG Yuan BA De-chun SONG Qing-zhu 《真空》 CAS 2018年第3期34-40,共7页
In this paper, laser melting deposition(LMD), a new advanced manufacture technology. While manufacturing a metal part by LMD process, if we could control the energy distribution in internal different areas such as cla... In this paper, laser melting deposition(LMD), a new advanced manufacture technology. While manufacturing a metal part by LMD process, if we could control the energy distribution in internal different areas such as cladding layer or that between cladding layer and the substrate with optimal process parameters, the probability of internal defects of parts can be reduced, and the mechanical properties of parts will be greatly improved. To address the problem that whether the part made by LMD has internal defects, in this paper we designed the orthogonal rotation experiments through selecting different process parameters. Then a Logistic Regression model was built based on the experiments data. The calculation result of the regression model was in good agreement with the result of authentication test. Therefore, this Logistic Regression model has important reference for selecting LMD process parameters. 展开更多
关键词 Titanium alloys powder laser shaping Processing parameters Logistic regression model Experiment design
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