GENETIC ALGORITHM-BASED OPTIMIZATION FOR SURFACE ROUGHNESS IN CYLINDRICALLY GRINDING PROCESS USING HELICALLY GROOVED WHEELS-Reference-Cited by-同舟云学术

GENETIC ALGORITHM-BASED OPTIMIZATION FOR SURFACE ROUGHNESS IN CYLINDRICALLY GRINDING PROCESS USING HELICALLY GROOVED WHEELS

Published:2017-11 Issue:Supp02 Volume:24 Page:1850031
ISSN:0218-625X
Container-title:Surface Review and Letters
language:en
Short-container-title:Surf. Rev. Lett.

Author:

ÇAYDAŞ ULAŞ¹,ÇELİK MAHMUT¹

Affiliation:

1. Technology Faculty, Department of Mechanical Engineering, University of Firat, 23119 Elazığ, Turkey

Abstract

The present work is focused on the optimization of process parameters in cylindrical surface grinding of AISI 1050 steel with grooved wheels. Response surface methodology (RSM) and genetic algorithm (GA) techniques were merged to optimize the input variable parameters of grinding. The revolution speed of workpiece, depth of cut and number of grooves on the wheel were changed to explore their experimental effects on the surface roughness of machined bars. The mathematical models were established between the input parameters and response by using RSM. Then, the developed RSM model was used as objective functions on GA to optimize the process parameters.

Publisher

World Scientific Pub Co Pte Lt

Subject

Materials Chemistry,Surfaces, Coatings and Films,Surfaces and Interfaces,Condensed Matter Physics

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0218625X18500312

Reference17 articles.

1. Optimisation of machining parameters in interrupted cylindrical grinding using the Grey-based Taguchi method

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