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Shape Optimization of Grinding Spindle using Response Surface Analysis
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 Title & Authors
Shape Optimization of Grinding Spindle using Response Surface Analysis
Bae, Gyeong-Tae; Kim, Gwi-Nam; Choi, Boo-Young; Moon, Hong-Man; Noh, Jung-Pil; Huh, Sun-Chul;
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 Abstract
To improve the accuracy of a machine, research needs to be conducted on the relationship between the output variables and design variables of a spindle-shaped part from the thermal and static viewpoints. Therefore, research was carried out by examining the correlation of each variable to find the optimum conditions. Moreover, DOE (design of experiments) was extensively used. The model used in this study was a grinding spindle to which a hydrostatic bearing was applied. This model was used in a preliminary analysis based on the experimental results of the previous studies. The influences of the output variables and design variables were compared through a main effect analysis. Generated response surfaces were applied to the Kriging model. To optimize the model, a screening method was selected. In comparison with the initial model, the deformation of the optimized model designed by DOE decreased by 4.1 μm, while the thermal deformation decreased by 1.2 μm. Therefore, it was efficient to design a spindle-shaped part through DOE to improve the accuracy of the machine.
 Keywords
Design of experiment;Kriging metamodle;Rotatable central composite design;Response surface analysis;Spindle;
 Language
Korean
 Cited by
 References
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