使用混合决策方法对厚钢板的金属切削工艺进行战略选择

IF 1.5 Q2 ENGINEERING, MULTIDISCIPLINARY Engineering Research Express Pub Date : 2024-09-17 DOI:10.1088/2631-8695/ad7939
Anita Kumari and Bappa Acherjee
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引用次数: 0

摘要

金属切割在制造业中是不可或缺的,它能为建筑、汽车、航空航天和造船等行业实现精确的部件制造,而在这些行业中,准确、高效地切割厚钢板至关重要。本文介绍了一项新颖的案例研究,利用混合 MOORA-PSI 方法,从战略角度确定厚钢板的最佳金属切割工艺。混合 MOORA-PSI 方法将权重分配和替代方案排序整合在一起,从而简化了决策过程。氧气火焰、等离子弧、激光、电火花线切割(线放电加工)和加砂水射流切割等五种常用的金属切割工艺都可用于切割厚钢板,每种工艺都有其独特的能力和局限性,因此被视为潜在的替代方案。在评估这些金属切割替代方案时,采用了八项评估标准,即资本成本、运行成本、精度、边缘质量、切口宽度、最大厚度、生产灵活性和生产率。根据确定的评估标准,线切割是切割厚钢板的最佳选择,激光切割紧随其后,其后依次是氧气火焰切割、加砂水射流切割和等离子切割。通过与其他 MCDM 方法进行比较,并进行斯皮尔曼等级相关系数检验,验证了结果的一致性。此外,采用标准权重交换和决策矩阵动态变化进行的敏感性分析进一步证实了研究结果的准确性和可靠性。
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Strategic selection of metal-cutting processes for thick steel plates using a hybrid decision methodology
Metal-cutting is indispensable in manufacturing, enabling precise component fabrication for industries like construction, automotive, aerospace, and shipbuilding, where accurate, efficient cutting of thick steel plates is crucial. This paper introduces a novel case study to strategically determine the optimal metal-cutting process for thick steel plates utilizing a hybrid MOORA-PSI approach. The use of the hybrid MOORA-PSI method simplifies decision-making by integrating weight assignment and ranking of alternatives. Five prominent metal-cutting processes, including oxygen flame, plasma arc, laser, wire EDM (wire electro-discharge machining), and abrasive water jet cutting, are commonly used for cutting thick steel plates, each with unique capabilities and limitations, and are considered potential alternatives. Eight evaluation criteria, capital cost, running cost, accuracy, edge quality, kerf width, maximum thickness, production flexibility, and production rate, are used to assess these metal-cutting alternatives. Wire EDM ranks as the optimal choice for cutting thick steel plates based on defined evaluation criteria, with laser cutting closely trailing, followed by oxygen flame, abrasive water jet, and plasma cutting successively. The results are validated by comparing them with those of other MCDM approaches and by conducting a Spearman’s rank correlation coefficient test, yielding consistent results. Additionally, sensitivity analysis, employing criteria weight exchange and dynamic variations in the decision-making matrix, further confirms the accuracy and reliability of the findings.
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来源期刊
Engineering Research Express
Engineering Research Express Engineering-Engineering (all)
CiteScore
2.20
自引率
5.90%
发文量
192
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