Modelling interdependencies in an electric motor manufacturing process using discrete event simulation

Modelling interdependencies in an electric motor manufacturing process using discrete event simulation
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DOI:
10.1080/17477778.2023.2202338
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发表时间:
2023-04
影响因子:
2.5
通讯作者:
Izhar Oswaldo Escudero-Ornelas;D. Tiwari;Michael Farnsworth;Ashutosh Tiwari
Izhar Oswaldo Escudero-Ornelas;D. Tiwari;Michael Farnsworth;Ashutosh Tiwari
中科院分区:
工程技术4区
文献类型:
--
作者:
Izhar Oswaldo Escudero-Ornelas;D. Tiwari;Michael Farnsworth;Ashutosh Tiwari

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电动机的制造是一个复杂的过程,涉及可变形材料和湿工艺。当在制造过程中产生故障时,它们往往会累积起来,产生影响整体产品质量的下游效应。为了在过程中及早发现故障,了解关键过程参数及其相互依赖关系如何影响故障的发生是至关重要的。本文提出了一种计算框架来模拟涉及铜线作为可变形材料的电机制造过程中的过程相互依赖性。建立了离散事件仿真模型,以捕获线性线圈绕组过程中过程的相互依赖性及其对故障产生的影响。该模型模拟了铜线在绕线过程中每一圈的行为。确定了对故障发生影响最大的关键输入参数是钢丝施加的张力、绕线速度、筒子形状和钢丝直径。该模型捕获线圈中的电气和几何故障,并能够计算出最终线圈中的累积故障,突出任何热点区域。通过实验验证了模型的正确性。验证过程还包括将模型的结果展示给电机制造行业的专家,并获得他们的反馈。
The manufacturing of electric motors is a complex process involving deformable materials and wet processes. When faults are created during the manufacturing process, they tend to accumulate, creating a downstream effect affecting the overall product quality. To detect the faults early in the process, it is crucial to understand how critical process parameters and the interdependencies between them influence the occurrence of faults. This paper proposes a computational framework to model process interdependencies in anelectric motor manufacturing process involving copper wire as a deformable material. A Discrete Event Simulation model was developed to capture process interdependencies and their influence on the generation of faults, in a linear coil winding process. The model simulated the behaviour of the copper wire during every turn in the coil-winding process. The applied tension in the wire, winding speed, the shape of the bobbin, and the diameter of the wire were identified as key input parameters that had maximum influence on the occurrence of faults. The model captured electrical and geometrical faults in the wound coil and was able to calculate accumulated faults in the final wound coil highlighting any hotspot regions. The results from the model were validated by conducting experiments using a lab-based linear coil-winding machine. The validation process also included presenting the results from the model to experts from the electrical machine manufacturing industry and obtaining their feedback..