Multi-Objective Optimization of AWJM of Lead Tin Alloy by GRA
M. Dev Anand1, K. S. Jai Aultrin2, G. Ramanan3, R. R. Neela Rajan4
1M. Dev Anand, Professor and Director Research, Department of Mechanical Engineering, Noorul Islam Centre for Higher Education, Kumaracoil (Tamil Nadu), India.
2K. S. Jai Aultrin, Associate Professor, Department of Mechanical Engineering, Noorul Islam Centre for Higher Education, Kumaracoil (Tamil Nadu), India.
3G. Ramanan, Assistant Professor, Department of Aerospace Engineering, ACS Collge of Engineering, Banglore (Karnataka), India.
4R. R. Neela Rajan, Assistant Professor, Department of Aeronautical Engineering, Noorul Islam Centre for Higher Education, Kumaracoil (Tamil Nadu), India.
Manuscript received on 16 July 2019 | Revised Manuscript received on 01 August 2019 | Manuscript Published on 10 August 2019 | PP: 72-83 | Volume-8 Issue-2S3 July 2019 | Retrieval Number: B10120782S319/2019©BEIESP | DOI: 10.35940/ijrte.B1012.0782S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Last decades have witnessed a rapid growth in the development of harder, difficult and complexity to machine metals and alloys. AWJM is one of the most freshly built up non traditional machining in processing various types of hard-to-cut materials nowadays. It is an economical method for heat sensitive materials that cannot be machined by processes that produce heat while machining. Machining parameters play the lead position in bringing out the machine economics and machining quality. This research examines the persuading and parametric optimization of five parameters of the process for Abrasive water jet machining of Lead Tin alloy involving grey relation analysis. Depending upon RSM various sets of research have been performed on this element by changeable five different parameters on MRR and SR. ANOVA has been carried out to recognize the noteworthy parameters which affect toughness of abrasive waterjet machining process. The consequence of the experiments for best possible setting proves that there is extensive development in the process. The main objective of grey relational analysis is to translate the multi response variable in to a single response grade.
Keywords: Abrasive Water Jet Machining, Grey Relational Analysis, Response Surface Methodology, Material Removal Rate, Surface Roughness.
Scope of the Article: Materials Engineering