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Research on Optimization of Plunge Centerless Grinding Process Using Genetic Algorithm and Response Surface Method


Affiliations
1 School of Mechanical Engineering, HUS, No. 1, Dai Co Viet, Ha Noi, Viet Nam
2 College of Economics and Technology, Thinh Dan Ward, Thai Nguyen City, Viet Nam
 

This paper presents the research on optimization of plunge centerless grinding process when grind 20X-carbon infiltration steel (ΓOCT standard-Russia) to achieve minimum of roundness error value. The input parameters are center height angle of the workpiece (β), longitudinal grinding wheel dressing feed-rate (Ssd), plunge feed-rate (Sk) and control wheel velocity (Vdd). Using the result of 29 runs in Central Composite Design matrix to given the second order roundness error model. Genetic algorithm and Response surface method were used to focus on determination of optimum centerless grinding above parameters for minimization of roundness error for each methods.

Keywords

Plunge Centerless Grinding, Optimization, Optimization, Genetic Algorithm, Response Surface Method, Roundness Error, 20X Steel.
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  • Research on Optimization of Plunge Centerless Grinding Process Using Genetic Algorithm and Response Surface Method

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Authors

Phan Bui Khoi
School of Mechanical Engineering, HUS, No. 1, Dai Co Viet, Ha Noi, Viet Nam
Do Duc Trung
College of Economics and Technology, Thinh Dan Ward, Thai Nguyen City, Viet Nam
Ngo Cuong
College of Economics and Technology, Thinh Dan Ward, Thai Nguyen City, Viet Nam
Nguyen Dinh Man
College of Economics and Technology, Thinh Dan Ward, Thai Nguyen City, Viet Nam

Abstract


This paper presents the research on optimization of plunge centerless grinding process when grind 20X-carbon infiltration steel (ΓOCT standard-Russia) to achieve minimum of roundness error value. The input parameters are center height angle of the workpiece (β), longitudinal grinding wheel dressing feed-rate (Ssd), plunge feed-rate (Sk) and control wheel velocity (Vdd). Using the result of 29 runs in Central Composite Design matrix to given the second order roundness error model. Genetic algorithm and Response surface method were used to focus on determination of optimum centerless grinding above parameters for minimization of roundness error for each methods.

Keywords


Plunge Centerless Grinding, Optimization, Optimization, Genetic Algorithm, Response Surface Method, Roundness Error, 20X Steel.