MULTI-OBJECTIVE OPTIMIZATION OF PLASMA ARC CUTTING PROCESS USING MOORA COMBINED WITH GA | ||||
| ERJ. Engineering Research Journal | ||||
| Article 5, Volume 42, Issue 3, July 2019, Page 218-230 PDF (3.04 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/erjm.2019.66261 | ||||
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| Authors | ||||
| A. Hamdy; M. Fattouh; S. Abaas; R. Masoud | ||||
| Faculty of Engineering, Menoufia University, Shebin Elkom, Egypt | ||||
| Abstract | ||||
| In this work, cutting parameters were optimized in plasma arc cutting process of mild steel by application of multi-objective optimization by ratio analysis (MOORA) method. Standard deviation (SDV) concept has been used to allocate the weight criteria of each objective being reflected. Cutting speed, arc current, and standoff distance were nominated as setting parameters for optimization the kerf characteristics in the straight-slit cutting (kerf taper, dross, surface roughness and maximization of material removal rate). MOORA was used to transform multiple responses into a single characteristic index known as multi performance characteristic index (MPCI). MPCI was modeled by the use of genetic algorithm (GA). With this action an attempt was made to find more precise dependence of MPCI with cutting parameters. Finally, this was followed by optimization of the MPCI in plasma arc cutting using genetic algorithm. This has also been that, SDV-MOORA-GA method has effectively optimized the plasma arc cutting process parameters used in this study. | ||||
| Keywords | ||||
| Plasma Arc Cutting (PAC); Multi-Objective Optimization by Ratio Analysis (MOORA); Standard Deviation (SDV) concept; . Genetic Algorithm (GA) | ||||
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