Modeling and optimization in turning of PA66-GF30% and PA66 using multi-criteria decision-making (PSI, MABAC, and MAIRCA) methods: a comparative study
Semi-crystalline polymers are widely used in modern industry. Indeed, they are highly demanded because of their excellent compromise between advantageous mechanical properties, high lightness, good productivity, and low cost. In this work, a modeling study of performance parameters such as (Ra), (Fz...
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| Veröffentlicht in: | International journal of advanced manufacturing technology 2023-02, Vol.124 (7-8), p.2401-2421 |
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| creator | Haoues, Sabrina Yallese, Mohamed Athmane Belhadi, Salim Chihaoui, Salim Uysal, Alper |
| description | Semi-crystalline polymers are widely used in modern industry. Indeed, they are highly demanded because of their excellent compromise between advantageous mechanical properties, high lightness, good productivity, and low cost. In this work, a modeling study of performance parameters such as (Ra), (Fz), (Pc), and (MRR) was carried out using the response surface methodology (RSM). Dry machining operations were performed on two polyamides (PA66-GF30% and PA66) following the L9 (3
3
) orthogonal array. The results were used to perform a mono-objective optimization based on the Taguchi signal-to-noise ratio (S/N). In addition, a comparative study between three multi-objective optimization methods MCDM (PSI, MABAC, and MAIRCA) coupled with the Taguchi approach was realized. The target objective is to reduce (Ra, Fz, and Pc) and maximize (MRR) simultaneously. The results found are original and can help researchers working in the field of machining polyamides with and without reinforcement. |
| doi_str_mv | 10.1007/s00170-022-10583-8 |
| format | Article |
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Indeed, they are highly demanded because of their excellent compromise between advantageous mechanical properties, high lightness, good productivity, and low cost. In this work, a modeling study of performance parameters such as (Ra), (Fz), (Pc), and (MRR) was carried out using the response surface methodology (RSM). Dry machining operations were performed on two polyamides (PA66-GF30% and PA66) following the L9 (3
3
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| subjects | Advanced manufacturing technologies CAE) and Design Comparative studies Computer-Aided Engineering (CAD Cutting tools Decision making Dry machining Engineering Geometry Industrial and Production Engineering Manufacturing Mechanical Engineering Mechanical properties Media Management Methods Modelling Multiple criteria decision making Multiple criterion Multiple objective analysis Optimization Original Article Orthogonal arrays Polyamide resins Polymers Productivity Response surface methodology Signal to noise ratio Turning (machining) Variance analysis |
| title | Modeling and optimization in turning of PA66-GF30% and PA66 using multi-criteria decision-making (PSI, MABAC, and MAIRCA) methods: a comparative study |
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