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Selection of optimal process parameters in sustainable diamond burnishing of 17-4 PH stainless steel

  • B. SachinEmail author
  • S. Narendranath
  • D. Chakradhar
Technical Paper
  • 29 Downloads

Abstract

Secondary finishing operations are the primary requirement of the manufacturing industries to achieve dimensional tolerance of the components. Burnishing is essentially a surface finishing operation usually performed after machining to achieve superfinishing. Diamond burnishing is one of the finest finishing technologies which has been conducted on any surface to attain mirror surface finish. The present work focuses on the development of a correlation model between the process parameters and the output responses while burnishing of 17-4 precipitation hardenable stainless steel using response surface methodology. A novel diamond burnishing tool has been used to analyze the influence of process parameters on output responses in the MQL environment. The control factors considered for the present study include burnishing speed, burnishing feed and burnishing force, and the corresponding output responses considered were surface roughness and surface hardness. The influence of process parameters on output responses has been determined by analysis of variance. Optimization was performed by a multi-objective genetic algorithm. The proposed methodology has been validated by performing experiments at the optimal process parameters, and the achieved results indicate the effectiveness of the diamond burnishing process.

Keywords

Response surface methodology (RSM) Diamond burnishing ANOVA Surface roughness Genetic algorithm (GA) 

Abbreviations

RSM

Response surface methodology

ANOVA

Analysis of variance

MOGA

Multi-objective genetic algorithm

GA

Genetic algorithm

MQL

Minimum quantity lubrication

PH

Precipitation hardenable

CCD

Central composite design

Std. Dev.

Standard deviation

CV

Coefficient of variation

PRESS

Predicted residual error sum of squares

A

Burnishing speed (m/min)

B

Burnishing feed (mm/rev)

C

Burnishing force (N)

AB

Burnishing speed × burnishing feed

AC

Burnishing speed × burnishing force

BC

Burnishing feed × burnishing force

R2

Coefficients of determination

df

Degrees of freedom

Adj

Adjusted

Adeq

Adequate

Pred

Predicted

Prob

Probability

Notes

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Copyright information

© The Brazilian Society of Mechanical Sciences and Engineering 2019

Authors and Affiliations

  1. 1.Department of Mechanical EngineeringNational Institute of Technology KarnatakaSurathkalIndia
  2. 2.Department of Mechanical EngineeringIndian Institute of Technology PalakkadPalakkadIndia

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