Predicting surface quality of γ-TiAl produced by additive manufacturing process using response surface method

被引:0
作者
Abdulrahman Al-Ahmari
Mohammad Ashfaq
Abdullah Alfaify
Basem Abdo
Abdulrahman Alomar
Abdelnaser Dawud
机构
[1] King Saud University,FARCAMT Chair, Advanced Manufacturing Institute
[2] King Saud University,Industrial Engineering Department, College of Engineering
来源
Journal of Mechanical Science and Technology | 2016年 / 30卷
关键词
EBM process; End milling; Response surface method; Factorial design; Surface quality;
D O I
暂无
中图分类号
学科分类号
摘要
Electron beam melting (EBM) has been found to be a promising technology for producing complex shaped parts from gamma titanium aluminide alloys (γ-TiAl). The parts produced by this process are projected to have dimensions very close to the desired final shapes. However, the surface roughness of the parts produced by EBM is excessively rough. In many applications, it is necessary to improve the quality of manufactured parts using a convenient post process. This paper determines process parameters of end milling when it is used as a post process for the parts produced by EBM. Design of experiments has been used to study the effect of the selected input parameters of end milling (spindle speed, feed rate, depth of cut and coolant type) on the surface roughness of γ-TiAl parts. Response surface methodology is used to develop a predictive model for surface roughness. Effects of the selected milling process are investigated. This paper also optimizes the selected process parameters to minimize the value of the obtained surface roughness.
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页码:345 / 352
页数:7
相关论文
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