Application of Generalized Reduced Gradient Method for Optimization of Plunge Centerless Grinding Process

Authors(4) :-Do Duc Trung, Ngo Cuong, Phan Bui Khoi, Tran Quoc Hung

This paper presents the study on optimization of plunge centerless grinding parameters when grinding 20X – carbon infiltration steel (ГOCT standard - Russia) to achieve minimum of surface roughness value by generalized reduced gradient method. Using the result of 29 runs in central composite design matrix with input parameters are center height angle of the workpiece ( ), longitudinal grinding wheel dressing feed-rate ( ), plunge feed-rate ( ) and control wheel velocity ( ) to given the second order surface roughness model. Using generalized reduced gradient method to get optimization values of input parameters to achieve minimum of surface roughness.

Authors and Affiliations

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
Phan Bui Khoi
School of Mechanical Engineering, HUS, No. 1, Dai Co Viet, Ha Noi, Viet Nam
Tran Quoc Hung
Ha noi university of Industry, Ha Noi, Viet Nam

Plunge centerless grinding, optimization, generalized reduced gradient, surface roughness, 20X steel

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Publication Details

Published in : Volume 1 | Issue 2 | March-April 2015
Date of Publication : 2015-04-25
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 368-372
Manuscript Number : IJSRSET1522107
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Do Duc Trung, Ngo Cuong, Phan Bui Khoi, Tran Quoc Hung, " Application of Generalized Reduced Gradient Method for Optimization of Plunge Centerless Grinding Process, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 2, pp.368-372, March-April-2015.
Journal URL : http://ijsrset.com/IJSRSET1522107

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