Performance improvement of cryogenic turning process during machining of 17-4 PH stainless steel using multi objective optimization techniques

Abstract The present work address the problems like low productivity, high manufacturing cost and issues with conventional cooling techniques while machining of 17-4 precipitated hardened stainless steel (PH SS). To overcome these problems, optimization studies have been carried out under cryogenic cooling environment. Cryogenic machining (Liquid nitrogen) is an efficient eco friendly machining technique to satisfy the stringent environmental regulations. In the present work, Taguchi incorporated Gray relational analysis (TGRA) and Taguchi coupled Technique for Order Preference by Similarity to Ideal Solution (T-TOPSIS) optimization techniques have been applied for multi response optimization during rough turning of 17-4 PH SS respectively. The obtained result showed that improved performance was found at the TGRA determined optimum cutting conditions when compared T-TOPSIS technique determined optimum cutting conditions respectively. Furthermore, individual and interaction effect of process parameters on turning performance have been discussed using 3D surface plots.

[1]  I. Jawahir,et al.  Enhanced Surface Integrity From Cryogenic Machining of AZ31B Mg Alloy: A Physics-Based Analysis With Microstructure Prediction , 2017 .

[2]  M. Kumar,et al.  Multi-attribute decision-making of cryogenically cooled micro-EDM drilling process parameters using TOPSIS method , 2017 .

[3]  J. Nowacki,et al.  Activated gas nitriding of 17-4 PH stainless steel , 2006 .

[4]  Stefania Bruschi,et al.  Analysis of tool wear in cryogenic machining of additive manufactured Ti6Al4V alloy , 2015 .

[5]  Stefania Bruschi,et al.  Experimental investigation on the feasibility of dry and cryogenic machining as sustainable strategies when turning Ti6Al4V produced by Additive Manufacturing , 2017 .

[6]  Klaus Hinkelmann,et al.  Design and Analysis of Experiments, Second Edition , 2007 .

[7]  V. Anandakrishnan,et al.  Experimental investigation and performance analysis of cemented carbide inserts of different geometries using Taguchi based grey relational analysis , 2014 .

[8]  P. Sivaiah,et al.  Machinability studies on 17-4 PH stainless steel under cryogenic cooling environment , 2017 .

[9]  D. Chakradhar,et al.  Comparative evaluations of machining performance during turning of 17-4 PH stainless steel under cryogenic and wet machining conditions , 2018 .

[10]  R. Gandhinathan,et al.  Optimization of surface roughness and tool wear in hard turning of austempered ductile iron (grade 3) using Taguchi method , 2016 .

[11]  Wen-Tung Chien,et al.  The investigation on the prediction of tool wear and the determination of optimum cutting conditions in machining 17-4PH stainless steel , 2003 .

[12]  Shane Y. Hong,et al.  Economical and ecological cryogenic machining of AISI 304 austenitic stainless steel , 2000 .

[13]  G. Germain,et al.  Impact of supply conditions of liquid nitrogen on tool wear and surface integrity when machining the Ti-6Al-4V titanium alloy , 2017 .

[14]  S. Gangopadhyay,et al.  On Applicability of Multilayer Coated Tool in Dry Machining of Aerospace Grade Stainless Steel , 2016 .

[15]  P. Sivaiah,et al.  Analysis and Modeling of Cryogenic Turning Operation Using Response Surface Methodology , 2018, Silicon.

[16]  Suresh Kumar Reddy Narala,et al.  Machinability enhancement of stir cast Al-TiCp composites under cryogenic condition , 2017 .

[17]  P. Sivaiah,et al.  Multi-objective optimisation of cryogenic turning process using Taguchi-based grey relational analysis , 2017 .

[18]  P. Sivaiah,et al.  Influence of cryogenic coolant on turning performance characteristics: A comparison with wet machining , 2017 .

[19]  S. Datta,et al.  Application of TOPSIS in the Taguchi Method for Optimal Machining Parameter Selection , 2011 .

[20]  Vimal Dhokia,et al.  Investigation of the effects of cryogenic machining on surface integrity in CNC end milling of Ti-6Al-4V titanium alloy , 2016 .

[21]  Prithbey Raj Dey,et al.  Taguchi S/N based optimization of machining parameters for surface roughness, tool wear and material removal rate in hard turning under MQL cutting condition , 2018, Measurement.

[22]  Hari Singh,et al.  Optimization of multiple quality characteristics for CNC turning under cryogenic cutting environment using desirability function , 2008 .

[23]  S. Ramesh,et al.  Measurement and optimization of surface roughness and tool wear via grey relational analysis, TOPSIS and RSA techniques , 2016 .

[24]  David A. Puleo,et al.  Enhanced surface integrity of AZ31B Mg alloy by cryogenic machining towards improved functional performance of machined components , 2012 .

[25]  Murat Sarıkaya,et al.  Taguchi design and response surface methodology based analysis of machining parameters in CNC turning under MQL , 2014 .

[26]  Hsin-Hung Wu,et al.  A Comparative Study of Using Grey Relational Analysis in Multiple Attribute Decision Making Problems , 2002 .

[27]  Ching-Lai Hwang,et al.  Fuzzy Multiple Attribute Decision Making - Methods and Applications , 1992, Lecture Notes in Economics and Mathematical Systems.

[28]  John S. Agapiou,et al.  Metal Cutting Theory and Practice , 1996 .

[29]  Janez Kopac,et al.  Analysis of the influence of nitrogen phase and surface heat transfer coefficient on cryogenic machining performance , 2016 .

[30]  Deng Ju-Long,et al.  Control problems of grey systems , 1982 .

[31]  I. S. Jawahir,et al.  Cryogenic Machining-Induced Surface Integrity: A Review and Comparison with Dry, MQL, and Flood-Cooled Machining , 2014 .

[32]  İlhan Asiltürk,et al.  Optimisation of parameters affecting surface roughness of Co28Cr6Mo medical material during CNC lathe machining by using the Taguchi and RSM methods , 2016 .

[33]  P. Sivaiah,et al.  The Effectiveness of a Novel Cryogenic Cooling Approach on Turning Performance Characteristics During Machining of 17-4 PH Stainless Steel Material , 2019, Silicon.

[34]  I. Jawahir,et al.  Tribological behavior of PCD tools during superfinishing turning of the Ti6Al4V alloy using cryogenic, hybrid and flood as lubri-coolant environments , 2017 .

[35]  S. Debnath,et al.  Influence of cutting fluid conditions and cutting parameters on surface roughness and tool wear in turning process using Taguchi method , 2016 .

[36]  Murat Sarıkaya,et al.  Multi-response optimization of minimum quantity lubrication parameters using Taguchi-based grey relational analysis in turning of difficult-to-cut alloy Haynes 25 , 2015 .

[37]  Janez Kopac,et al.  Tribological behaviour of Ti6Al4V and Inconel718 under dry and cryogenic conditions—Application to the context of machining with carbide tools , 2013 .

[38]  Mahmudur Rahman,et al.  An investigation of cutting forces and surface damage in high-speed turning of inconel 718 , 2007 .