电火花加工中点火延迟时间建模

IF 3.3 Q2 ENGINEERING, MANUFACTURING Journal of Manufacturing and Materials Processing Pub Date : 2023-10-01 DOI:10.3390/jmmp7050177
Paulo Matheus Borges Esteves, Micha Hensen, Michal Kuffa, Konrad Wegener
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引用次数: 0

摘要

本文对电火花加工过程中的点火延迟时间(td)进行了全面的研究和建模。重点研究了间隙距离、放电能量和片高对td随机分布的影响,为了解td随机分布的复杂性质提供了重要见解。观测结果表明,这些参数对td有重要而复杂的影响,特别是对间隙距离的影响。确定了一个临界值,大约在8μm到10μm之间,可以区分随机行为。为了捕捉td的二项特性,我们建立了一个由两条威布尔分布曲线组成的混合概率模型,并通过大量的实验和数据分析进行了验证。该模型与实测的累积概率曲线吻合较好,表明了该模型预测td的准确性和可靠性。此外,灵敏度分析揭示了快速变化的区域,强调了在线切割过程控制中仔细选择参数的挑战和重要性。本研究的发现有助于更深入地了解线切割加工过程,并为预测td提供建模方法。未来的研究方向包括通过加入额外的输入参数来改进模型,研究其他过程变量对td的影响。
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Ignition Delay Time Modeling in Wire-EDM
This study presents a comprehensive investigation and modeling of the ignition delay time (td) in wire-EDM (WEDM). The research focuses on the influence of gap distance, discharge energy, and piece height on the stochastic distributions of td, providing important insights into the complex properties of these distributions. Observations indicate that these parameters exert significant yet intricate influences on td, with a particular emphasis on the gap distance. A critical value was identified, around 8μm to 10μm, that divides the stochastic behavior. To capture the binomial nature of td, a mixture probability model consisting of two Weibull distribution curves was developed and validated through extensive experimentation and a data analysis. The model demonstrated strong agreement with observed cumulative probability curves, indicating its accuracy and reliability in predicting td. Further, a sensitivity analysis revealed regions of fast change, emphasizing the challenges and importance of careful parameter selection in control of WEDM processes. The findings of this study contribute to a deeper understanding of WEDM processes and provide a modeling approach for predicting td. Future research directions include refining the model by incorporating additional input parameters, investigating the influence of other process variables on td.
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来源期刊
Journal of Manufacturing and Materials Processing
Journal of Manufacturing and Materials Processing Engineering-Industrial and Manufacturing Engineering
CiteScore
5.10
自引率
6.20%
发文量
129
审稿时长
11 weeks
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