scholarly journals Development of Method for Construction of a Response Surface Model and Control Parameter Optimization Method for Automobile Engine

2011 ◽  
Vol 47 (10) ◽  
pp. 501-510
Author(s):  
Masatoshi OGAWA ◽  
Yasumasa SUZUKI ◽  
Harutoshi OGAI ◽  
Jin KUSAKA
Keyword(s):  
Response Surface ◽  
Parameter Optimization ◽  
Control Parameter ◽  
Optimization Method ◽  
Response Surface Model ◽  
Surface Model ◽  
Automobile Engine ◽  
And Control

Parameter Optimization of Surface Grinding Process Based on Taguchi and Response Surface Methods

2006 ◽  
Vol 306-308 ◽  
pp. 709-714 ◽  
Author(s):  
Jae Seob Kwak ◽  
In Kwan Kim
Keyword(s):  
Response Surface ◽  
Parameter Optimization ◽  
Removal Rate ◽  
Geometric Error ◽  
Response Surface Model ◽  
Surface Grinding ◽  
Surface Model ◽  
Grinding Process ◽  
Response Surface Methods ◽  
Grinding Parameters

To minimize the geometric error made in ground surface, the optimization of grinding parameters is essential. This paper focused on the parameter optimization of the surface grinding process based on Taguchi and response surface methods for minimizing the geometric error. Firstly, the effect of grinding parameters on the geometric error was evaluated and optimum grinding conditions were determined. Then, a second-order response model for predicting the geometric error was developed and the validation of the response surface model was examined with industrial constraints such as the surface roughness and the material removal rate. Finally, experimental verification was conducted at an optimal condition and two selected conditions to see accuracy of the developed response surface model.

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