Analysis and prediction of leak detection in the low-pressure heat treatment of metal equipment

IF 2.2 3区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Eksploatacja I Niezawodnosc-Maintenance and Reliability Pub Date : 2022-08-30 DOI:10.17531/ein.2022.4.12
S. Klos, J. Patalas-Maliszewska, M. Bazel
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引用次数: 1

Abstract

The low-pressure heat treatment of metals enables the continuous improvement of the mechanical and plastic properties of products, such as hardness, abrasion resistance, etc. A significant problem related to the operation of vacuum furnaces for heat treatment is that they become unsealed during operation, resulting from the degradation of seals or the thermal expansion of the construction materials. Therefore, research was undertaken to develop a prediction model for detecting leaks in vacuum furnaces, the use of which will reduce the risk of degradation in the charge being processed. Unique experimental studies were carried out to detect leakages in a vacuum pit furnace, simulated using the ENV 116 reference slot. As a consequence, a prediction model for the detection of leaks in vacuum furnaces- which are used in the heat treatment of metals- was designed, using an artificial neural network. (93% for MLP 15-10-1) was developed. The model was implemented in a predictive maintenance system, in a real production company, as an element in the monitoring of the operation of vacuum furnaces.
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金属设备低压热处理检漏的分析与预测
金属的低压热处理使产品的机械性能和塑性性能不断提高,如硬度、耐磨性等。热处理用真空炉的一个重要问题是,在运行过程中,由于密封件的退化或建筑材料的热膨胀,真空炉会变得不密封。因此,研究开发了一种用于检测真空炉泄漏的预测模型,该模型的使用将减少正在处理的炉料退化的风险。利用ENV 116参考槽进行了独特的实验研究,以检测真空坑炉中的泄漏。因此,利用人工神经网络设计了一个用于检测真空炉(用于金属热处理)泄漏的预测模型。(93%为mlp15 -10-1)。该模型在实际生产企业的预测维护系统中实现,作为真空炉运行监控的一个要素。
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来源期刊
CiteScore
5.70
自引率
24.00%
发文量
55
审稿时长
3 months
期刊介绍: The quarterly Eksploatacja i Niezawodność – Maintenance and Reliability publishes articles containing original results of experimental research on the durabilty and reliability of technical objects. We also accept papers presenting theoretical analyses supported by physical interpretation of causes or ones that have been verified empirically. Eksploatacja i Niezawodność – Maintenance and Reliability also publishes articles on innovative modeling approaches and research methods regarding the durability and reliability of objects.
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