Parametric optimization and determination in machining processes by means of probabilistic multi-objective optimization

Maosheng Zheng; Jie Yu

doi:10.59400/mea1950

Parametric optimization and determination in machining processes by means of probabilistic multi-objective optimization

Maosheng Zheng School of Chem. Eng., Northwest University, Xi’an 710069, China
Jie Yu College of Life Sci., Northwest University, Xi’an 710069, China

Article ID: 1950

981 Views, 62 PDF Downloads

DOI: https://doi.org/10.59400/mea1950

Keywords: optimal parameters; machining processes; probabilistic multi-objective optimization; simultaneity; systems theory

Abstract

In the present article, it attempts to present the determination of optimal parameters of machining processes by means of probabilistic multi-objective optimization (PMOO), in which the optimal objectives (attributes) are fundamentally divided into beneficial type and unbeneficial type, moreover all attributes of both beneficial type and unbeneficial type are evaluated separately with equivalent manner to get their partial preferable probability. Finally, the total preferable probability of each alternative is obtained by the product of all partial preferable probabilities, which is the unique and decisive representative of the alternative to join the competitive optimization, the optimum alternative is with the highest total preferable probability. An example of parametric optimization and determination of aerospace component with Electro Chemical Machining (ECM) is taken to illuminate the procedure. In the case of ECM, the current, voltage, and feed rate are as the optimal parameters to be investigated, while Material Removal Rate (MRR), and Surface Roughness (SR) are the optimal objective responses to be measured. The experimental runs were designed using an L₂₇Taguchi orthogonal array. In the assessment of PMOO for ECM, the objective MRR belongs to the beneficial attribute, and the objective SR is as the unbeneficial attribute. The novelty of this work is to reflect the simultaneity and the irreplacement of optimization of objectives MRR and SR in the optimal system. The evaluated results reveal that the optimized experimental scheme is the alternative 8, which is with the optimal responses of MRR of 280.112 g/min and SR of 0.45 mm, the corresponding optimum experimental parameters are voltage of 12 V, electrolyte flow rate of 12 m/s and tool feed rate of 0.4 mm/min, respectively. The achievement of the present article indicates the validity of the corresponding approach and algorithm.

References

[1]Wickramasinghe KC, Sasahara H, Rahim EA, et al. Recent advances on high performance machining of aerospace materials and composites using vegetable oil-based metal working fluids. Journal of Cleaner Production. 2021; 310: 127459. doi: 10.1016/j.jclepro.2021.127459

[2]Manikandan N, Balasubramanian K, Palanisamy D, et al. Machinability Analysis and ANFIS modelling on Advanced Machining of Hybrid Metal Matrix Composites for Aerospace Applications. Materials and Manufacturing Processes. 2019; 34(16): 1866-1881. doi: 10.1080/10426914.2019.1689264

[3]Zheng J, Zheng W, Chen A, et al. Sustainability of unconventional machining industry considering impact factors and reduction methods of energy consumption: A review and analysis. Science of The Total Environment. 2020; 722: 137897. doi: 10.1016/j.scitotenv.2020.137897

[4]Sivakandhan C, Babu Loganathan G, Murali G, et al. Material characterization and unconventional machining on synthesized Niobium metal matrix. Materials Research Express. 2020; 7(1): 015018. doi: 10.1088/2053-1591/ab624d

[5]Rajmohan T, Vinayagamoorthy R, Mohan K. Review on effect machining parameters on performance of natural fibre–reinforced composites (NFRCs). Journal of Thermoplastic Composite Materials. 2018; 32(9): 1282-1302. doi: 10.1177/0892705718796541

[6]Zhu D, Xu HY. Improvement of electrochemical machining accuracy by using dual pole tool. Journal of Materials Processing Technology. 2002; 129(1-3): 15-18. doi: 10.1016/S0924-0136(02)00567-8

[7]Sharma AK, Aravindan N, Ignatia KMJ, et al. Hybrid multi criteria decision making methodology for improving sustainability of the manufacturing sector. International Journal on Interactive Design and Manufacturing (IJIDeM). Published online June 10, 2024. doi: 10.1007/s12008-024-01846-7

[8]Zheng M, Teng H, Yu J, et al. Probability-Based Multi-Objective Optimization for Material Selection. Springer Nature Singapore; 2023. doi: 10.1007/978-981-19-3351-6

[9]Wang D. Probability Theory and Mathematical Statistics. Beijing Institute of Technology Press, Beijing; 2020.

Published

2024-11-28

How to Cite

Zheng, M., & Yu, J. (2024). Parametric optimization and determination in machining processes by means of probabilistic multi-objective optimization. Mechanical Engineering Advances, 3(1), 1950. https://doi.org/10.59400/mea1950

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Issue

Vol. 3 No. 1 (2025)

Section

Perspective

This work is licensed under a Creative Commons Attribution 4.0 International License.

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