A grey ‐ fuzzy approach for optimizing machining parameters and the approach angle in turning AISI 1045 steel

The influence of the machining parameters and approach angle of carbide inserts over tool wear at the flank face, surface roughness and material removal rate are investigated experimentally in this work. The optimum conditions are found out by using a hybrid grey-fuzzy algorithm. The grey relational analysis and fuzzy logic technique are coupled to obtain a grey-fuzzy grade for evaluating multi-characteristics output from the grey relational coefficient of each response. The experiments were designed using Taguchi’s design of experiments; a L9 (34) orthogonal array was selected for four parameters varied through three levels. Fuzzy-based reasoning was integrated using the grey approach to reduce the degree of uncertainty. The optimal setting was found out by a response table and the influences of input parameters on the output were determined by Analysis of variance. With the help of this hybrid technique the performance characteristics of the machining process were improved, which is proved by the results from the confirmation experiment. © 2015 PEI, University of Maribor. All rights reserved.

[1]  Tian-Syung Lan,et al.  Fuzzy Parametric Deduction for Material Removal Rate Optimization , 2011 .

[2]  Phillip J. Ross,et al.  Taguchi Techniques For Quality Engineering: Loss Function, Orthogonal Experiments, Parameter And Tolerance Design , 1988 .

[3]  Ko-Ta Chiang,et al.  A grey and fuzzy algorithms integrated approach to the optimization of turning Hadfield steel with Al2O3/TiC mixed ceramic tool , 2008 .

[4]  Bala Murugan Gopalsamy,et al.  Optimisation of machining parameters for hard machining: grey relational theory approach and ANOVA , 2009 .

[5]  K. Mohandas,et al.  Application of Regression and Fuzzy Logic Method for Prediction of Tool Life , 2012 .

[6]  V. Anandakrishnan,et al.  An Hybrid Taguchi-Grey Relational Technique and Cuckoo Search Algorithm for Multi-Criteria Optimization in Hard Turning of AISI D3 Steel , 2014 .

[7]  N. Senthilkumar,et al.  Optimisation of machining and geometrical parameters in turning process using Taguchi method , 2014 .

[8]  T. Muthuramalingam,et al.  Multi-Response Optimization of Wire-EDM Process Parameters of Titanium Alloy Using Taguchi Method and Grey Relational Analysis , 2015 .

[9]  T. Tamizharasan.  An ANN approach for predicting the cutting inserts performances of different geometries in hard turning , 2013 .

[10]  Sudin Izman,et al.  Application of ANFIS system in prediction of machining parameters , 2011 .

[11]  Tomislav Šarić,et al.  Modelling and simulation of surface roughness in face milling , 2013 .

[12]  N. Senthilkumar,et al.  Experimental investigation of cutting zone temperature and flank wear correlation in turning AISI 1045 steel with different tool geometries , 2014 .

[13]  Abdellatif Khamlichi,et al.  Fuzzy Logic-Based Modeling of Surface Roughness Parameters for CNC Turning of PEEK CF30 by TiN-Coated Cutting Tools , 2011 .

[14]  K Hashmi,et al.  Data selection for turning carbon steel using a fuzzy logic approach , 2003 .

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

[16]  S. V. Wong,et al.  Surface Roughness Identification Using the Grey Relational Analysis with Multiple Performance Characteristics in Turning Operations , 2012 .

[17]  Basim A. Khidhir,et al.  Modification Approach of Fuzzy Logic Model for Predicting of Cutting Force When Machining Nickel Based Hastelloy C-276 , 2010 .

[18]  Robert V. Brill,et al.  Applied Statistics and Probability for Engineers , 2004, Technometrics.

[19]  P. Venkataramaiah,et al.  Analysis on Influence of Feed Rate and Tool Geometry on Cutting Forces in Turning Using Taguchi Method and Fuzzy Logic , 2014 .

[20]  Ruey-Jing Lian,et al.  A grey prediction fuzzy controller for constant cutting force in turning , 2005 .

[21]  Glenn Gamst,et al.  Analysis of Variance Designs: A Conceptual and Computational Approach with SPSS and SAS , 2008 .

[22]  Hideki Aoyama,et al.  Insert geometry effects on surface roughness in turning process of AISI D2 steel , 2010 .

[23]  N. Senthilkumar,et al.  Application of Response Surface Methodology and Firefly Algorithm for Optimizing Multiple Responses in Turning AISI 1045 Steel , 2014 .

[24]  J. Osorio.  CUTTING TOOL GEOMETRY SUGGESTIONS BASED ON A FUZZY LOGIC MODEL , 2007 .

[25]  S. Kumanan,et al.  APPLICATION OF GREY BASED TAGUCHI METHOD IN MULTI-RESPONSE OPTIMIZATION OF TURNING PROCESS , 2010 .

[26]  N. Senthilkumar,et al.  Effect of Tool Geometry in Turning AISI 1045 Steel: Experimental Investigation and FEM Analysis , 2014 .

[27]  N. Rajesh,et al.  Determination of Optimum Influential Parameters in Turning of Al6061 Using Fuzzy Logic , 2013 .

[28]  T. Tamizharasan,et al.  Impact of Interface temperature over Flank wear in Hard Turning using Carbide inserts , 2012 .

[29]  Dilbag Singh,et al.  Optimization of Tool Geometry and Cutting Parameters for Hard Turning , 2007 .

[30]  Hari Singh,et al.  Taguchi-fuzzy multi output optimization (MOO) in high speed CNC turning of AISI P-20 tool steel , 2011, Expert Syst. Appl..

[31]  T. Tamizharasan,et al.  Analysis of surface roughness and material removal rate in turning using Taguchi's technique , 2012, IEEE-International Conference On Advances In Engineering, Science And Management (ICAESM -2012).

[33]  V. Kalaichelvi,et al.  Tool Wear Classification Using Fuzzy Logic for Machining of Al/SiC Composite Material , 2012 .

[35]  Richard Craig Van Nostrand,et al.  Design of Experiments Using the Taguchi Approach: 16 Steps to Product and Process Improvement , 2002, Technometrics.

[36]  Bobby Oedy Pramoedyo Soepangkat,et al.  The Use of Taguchi-Grey-Fuzzy to Optimize Performance Characteristics in Turning of AISI D2 , 2013 .

[37]  T. Rajmohan,et al.  Grey-fuzzy algorithm to optimise machining parameters in drilling of hybrid metal matrix composites , 2013 .

[38]  V. N. Gaitonde,et al.  Fuzzy Modeling and Analysis on the Turning Parameters for Machining Force and Specific Cutting Pressure in CFRP Composites , 2013, SOCO 2013.