A Model for Residual Stress in the Dry Turning of Duplex Stainless Steels

Naresh C. Deshpande; Hari Vasudevan

doi:10.4028/p-cqj696

Paper Titles

Preface

Numerical Analysis of Surface Integrity in Parallel Turning Process Part II: Influence of Cutting Tool Rake Angle
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Surface Roughness Prediction of AISI 304 Steel in Nanofluid Assisted Turning Using Machine Learning Technique
p.13

A Model for Residual Stress in the Dry Turning of Duplex Stainless Steels
p.25

Indigenous Production of Porous 316L through Powder Metallurgy and Investigation of their Mechanical Properties
p.32

Experimental and Analytical Investigation into Cutting Forces during Turning of EN-31 Steel in Different Machining Conditions
p.42

Comparative Study of Cu-6Sn Processed by Casting and Powder Metallurgy with Microwave and Conventional Assisted Sintering
p.62

Influence of Mg Content on the Metallurgical, Hardness, and Tensile Behaviour of Zn-Al-Si-Mg Alloy in the As-Cast Condition
p.72

Submerged Friction Stir Back Extrusion of AZ31 Magnesium Alloy
p.78

HomeKey Engineering MaterialsKey Engineering Materials Vol. 933A Model for Residual Stress in the Dry Turning of...

A Model for Residual Stress in the Dry Turning of Duplex Stainless Steels

Abstract:

Machining induced tensile residual stress of components made from Duplex Stainless Steel (DSS) is a major factor affecting their functional performance. This work used a multi-regression modeling approach for establishing the relationship amongst process parameters of turning operation and residual stress for standard DSS components. Four turning parameters namely, cutting speed, cutting depth, rate of feed & radius of tool nose were varied. Each of the selected parameters had three levels of values. The influence of these variations on residual stress was noted. Experiments were performed using Definitive Screening Design (DSD). Surface residual stress was measured using X-ray diffraction method. Step Wise regression approach with forward selection of terms and alpha value of 0.25 resulted in a quadratic model with R square value of 94.8 %. Validation experiment with new specimens yielded prediction accuracy of 88%.

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Periodical:

Key Engineering Materials (Volume 933)

Pages:

25-31

DOI:

https://doi.org/10.4028/p-cqj696

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Online since:

October 2022

Authors:

Naresh C. Deshpande*, Hari Vasudevan

Keywords:

Definitive Screening Design (DSD), Duplex Stainless Steel (DSS), Residual Stress

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