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Multi-response optimization in environment friendly turning of AISI 304 austenitic stainless steel

Talwinder Singh (Department of Mechanical Engineering, Punjabi University, Patiala, India)
J.S. Dureja (Department of Mechanical Engineering, Punjabi University, Patiala, India)
Manu Dogra (Department of Mechanical Engineering, Swami Sarvanand Giri Panjab University Regional Centre, Hoshiarpur, India)
Manpreet S. Bhatti (Department of Botanical and Environmental Sciences, Guru Nanak Dev University, Amritsar, India)

Multidiscipline Modeling in Materials and Structures

ISSN: 1573-6105

Article publication date: 31 December 2018

Issue publication date: 18 April 2019

330

Abstract

Purpose

The purpose of this paper is to investigate the influence of turning parameters such as cutting speed, feed rate and depth of cut on tool flank wear and machined surface quality of AISI 304 stainless steel during environment friendly turning under nanofluid minimum quantity lubrication (NMQL) conditions using PVD-coated carbide cutting inserts.

Design/methodology/approach

Turning experiments are conducted as per the central composite rotatable design under the response surface methodology. ANOVA and regression analysis are employed to examine significant cutting parameters and develop mathematical models for VB (tool flank wear) and Ra (surface roughness). Multi-response desirability optimization approach is used to investigate optimum turning parameters for simultaneously minimizing VB and Ra.

Findings

Optimal input turning parameters are observed as follows: cutting speed: 168.06 m/min., feed rate: 0.06 mm/rev. and depth of cut: 0.25 mm with predicted optimal output response factors: VB: 106.864 µm and Ra: 0.571 µm at the 0.753 desirability level. ANOVA test reveals depth of cut and cutting speed-feed rate interaction as statistically significant factors influencing tool flank wear, whereas cutting speed is a dominating factor affecting surface roughness. Confirmation tests show 5.70 and 3.71 percent error between predicted and experimental examined values of VB and Ra, respectively.

Research limitations/implications

AISI 304 is a highly consumed grade of stainless steel in aerospace components, chemical equipment, nuclear industry, pressure vessels, food processing equipment, paper industry, etc. However, AISI 304 stainless steel is considered as a difficult-to-cut material because of its high strength, rapid work hardening and low heat conductivity. This leads to lesser tool life and poor surface finish. Consequently, the optimization of machining parameters is necessary to minimize tool wear and surface roughness. The results obtained in this research can be used as turning database for the above-mentioned industries for attaining a better machined surface quality and tool performance under environment friendly machining conditions.

Practical implications

Turning of AISI 304 stainless steel under NMQL conditions results in environment friendly machining process by maintaining a dry, healthy, clean and pollution free working area.

Originality/value

Machining of AISI 304 stainless steel under vegetable oil-based NMQL conditions has not been investigated previously.

Keywords

Citation

Singh, T., Dureja, J.S., Dogra, M. and Bhatti, M.S. (2019), "Multi-response optimization in environment friendly turning of AISI 304 austenitic stainless steel", Multidiscipline Modeling in Materials and Structures, Vol. 15 No. 3, pp. 538-558. https://doi.org/10.1108/MMMS-07-2018-0139

Publisher

:

Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

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