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Surface Hardness Prediction Model of Turning Duplex Stainless Steel under Different Cutting Variables
 
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1
Automated Manufacturing Engineering Department, Al-Khwarizmi College of Engineering, University of Baghdad, Al-Jadriayh, Baghdad, Iraq
 
2
Biomedical Engineering Department, Al-Khwarizmi College of Engineering, University of Baghdad, Al-Jadriayh, Baghdad, Iraq
 
 
Corresponding author
Osamah Fadhil Abdulateef   

Automated Manufacturing Engineering Department, Al-Khwarizmi College of Engineering, University of Baghdad, Al-Jadriayh, Baghdad, Iraq
 
 
Adv. Sci. Technol. Res. J. 2023; 17(1):1-7
 
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ABSTRACT
The quality of machine components surfaces plays an important impact on their functional performance. Product performance may be restricted by changes to surface integrity, which includes changes to roughness, hardness, and microstructure. In this research, the impact of cutting variables in CNC turning under the conventional cooling condition on surface hardness of Duplex Stainless Steel. Cutting variables under conventional cooling, including cutting speed, feed rate, and depth of cut, have been optimized utilizing Taguchi’s L9 orthogonal array designed with three stages of turning variables. The optimal variable stages and the degree of significance of the cutting variables, respectively, were determined utilizing the analysis of means (ANOM) and analysis of variance (ANOVA). Effectiveness tests with optimum stages of variables were done to prove the viability of optimization by utilizing Taguchi. It has been found that the maximum surface hardness is most strongly affected by the feed rate 71.29%, followed by the depth of cut 12.1%, and finally the cutting speed 11.61%.
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