Identification of the significant process parameters by Taguchi methodology during electrochemical grinding of Al&lt;SUB align=right&gt;2O&lt;SUB align=right&gt;3/Al â interpenetrating phase composite

Bose, Goutam Kumar; Jana, Tarun Kanti; Mitra, S.

doi:10.1504/ijcmsse.2011.042821

Cited by 7 publications

(3 citation statements)

References 13 publications

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“…Four process variables, i.e. electrolyte concentration (C), voltage (V), depth of cut (D) and electrolyte flow rate (F) have been chosen as input parameters (Bhowmick and Mishra, 2000;Bose et al, 2011) and their levels and combinations are varied in conformance with L 9 orthogonal array (Phadke, 1989). Table II exhibits the different levels of control parameters during machining operation.…”

Section: Plan Of Experimentationmentioning

confidence: 99%

“…Taguchi design is an impending approach and already has established remarkable recognition to ascertain impact of the process variables analysis to specific objective(s) (Bose et al, 2011). Signal to noise (S/N) ratio is one of the major attributes of Taguchi quality engineering that is based on the premise of variability reduction and the improvement of measurement (Montogomery, 2003).…”

Section: Introductionmentioning

confidence: 99%

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Multi objective optimization of ECG process under fuzzy environment

Bose

2015

Multidiscipline Modeling in Materials and Structures

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Purpose – In the present research work electrochemical grinding (ECG) process is applied to machine Al2O3/Al interpenetrating phase composite. The purpose of this paper is to present a new approach to optimize the ECG process parameters while machining alumina-aluminum (Al2O3 – Al) interpenetrating phase composites (IPC) used in automotive, aircraft and manufacture of space ships applying Taguchi-based experimental studies and fuzzy multi-criteria decision-making techniques. Design/methodology/approach – The present work identifies the process variables that have significant consequences during ECG of Al2O3/Al IPC. The Taguchi L9 orthogonal array is selected for design of experiments and the analysis is carried out following signal to noise ratio. The analysis of variance is carried out to establish the factors that significantly influence the responses. The present work also investigates the multi objective optimization of ECG process parameters using VIseKriterijumsa Optimizacija I Kompromisno Resenje (VIKOR) and Grey relational analysis (GRA) to establish the reference ranking from a set of alternatives in the presence of conflicting criteria. Findings – Material removal rate, surface finish, overcut and cutting force are shown to depend on the type of electrolyte, supply voltage, depth of cut and electrolyte flow rate. It is found that voltage and electrolyte concentration are important. The optimal machining parameter combination for ECG process is determined using fuzzy set theory, VIKOR and GRA. Substantial improvement in machining performance takes place. Practical implications – A variety of manufacturing techniques are available for processing of Al2O3 – Al metal matrix composites. Generally manufacturers favor low cost modus operandi. Therefore ECG process is the best alternative for processing of MMCs in the present commercial sectors. The experimental investigation approach can act as useful and an efficient guideline for manufacturing. Originality/value – The characteristic features of the ECG process are reflected through Taguchi design-based experimental studies with various process parametric combinations. Application of multi-response optimization technique for evaluation of best parametric combination for machining Al2O3 – Al IPC material using ECG process is a first-of-its-kind approach in literature.

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Section: Plan Of Experimentationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi objective optimization of ECG process under fuzzy environment

Bose

2015

Multidiscipline Modeling in Materials and Structures

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“…These experimental data are further investigated using Grey Relational Analysis to optimize multiple performances in which different levels combination of the factors are ranked based on grey relational grade. Bose et al (2011) identified the process variables that have significant consequence during electro chemical gridding of Al 2 O 3 /Al interpenetrating phase composites. The contradictory objectives i.e.…”

Section: Introductionmentioning

confidence: 99%

Parametric Analysis of Different Grades of Steel Materials Used in Plastic Industries through Die Sinking EDM Process

Bose

Pain

2016

International Journal of Materials Forming and Machining Processes

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In the present research work four different work materials viz. EN24, D2, H13, P20 which are commonly use in plastic industries are considered for machining applying EDM process. Four different control parameters such as pulse on time, pulse off time, gap current, and Spark gap are considered to study the effect on the performance of responses like material removal rate, surface roughness and overcut using a square shape copper tool with lateral flushing. A well design experimental plan is used to reduce the total number of experiment following L9 orthogonal array. Based on Taguchi methodology the significant process parameters affecting the responses are identified applying ANOVA for each material. The effect of the responses with respect to the four control parameters for the four different work materials is compared through linear graphs. A well-known Grey relational analysis is carried out where the weights are calculated using entropy method to full fill the multi criteria decision making process.

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