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Predicting surface quality of γ-TiAl produced by additive manufacturing process using response surface method
Authors:Abdulrahman Al-Ahmari  Mohammad Ashfaq  Abdullah Alfaify  Basem Abdo  Abdulrahman Alomar  Abdelnaser Dawud
Affiliation:1. FARCAMT Chair, Advanced Manufacturing Institute, King Saud University, Riyadh, Saudi Arabia
2. Industrial Engineering Department, College of Engineering, King Saud University, Riyadh, Saudi Arabia
Abstract: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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