机械工程中数字孪生的集成:产品生命周期的信息支持、建模和管理

IF 0.4 Q4 ENGINEERING, MECHANICAL Journal of Machinery Manufacture and Reliability Pub Date : 2025-04-06 DOI:10.1134/S1052618824701747
M. N. Erofeev, I. N. Kravchenko, M. V. Kryukov
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引用次数: 0

摘要

讨论了数字孪生概念在机械工程领域的相关性和意义,以及它们对生产过程的影响。定义了研究的目标和目的,包括对概念装置的分析,在产品生命周期的各个阶段使用数字孪生,以及对其优缺点的评估。材料损伤管理的现象学模型,他们的分类,并在实际情况下成功应用的例子进行了审查。提出了创建数字孪生格式的要求,包括其结构和主要组成部分。特别注意损害管理问题和解决这些问题的可能办法,以及评价所提议的解决办法的效力。结论强调了整合数字技术的重要性,并为实施旨在提高生产效率、降低成本和提高产品质量的数字孪生提供了建议。该领域进一步研究的前景包括分析算法的发展、人工智能的引入和数字模型标准的创建。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Integration of Digital Twins in Mechanical Engineering: Information Support, Modeling, and Management of the Product Life Cycle

The relevance and significance of the concept of digital twins in the field of mechanical engineering, as well as their impact on production processes, are discussed. The goals and objectives of the study are defined, including the analysis of the conceptual apparatus, the use of digital twins at various stages of the product life cycle, and the assessment of their advantages and disadvantages. Phenomenological models of material damage management, their classification, and examples of successful application in real situations are examined. The requirements for the creation of a digital twin format are set out, including its structure and main components. Particular attention is paid to damage management issues and possible approaches to their solution, as well as to the assessment of the effectiveness of the proposed solutions. The conclusion highlights the importance of integrating digital technologies and provides recommendations for the implementation of digital twins aimed at increasing production efficiency, reducing costs, and improving product quality. Prospects for further research in this area include the development of analysis algorithms, the introduction of artificial intelligence, and the creation of digital model standards.

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来源期刊
CiteScore
0.80
自引率
33.30%
发文量
61
期刊介绍: Journal of Machinery Manufacture and Reliability  is devoted to advances in machine design; CAD/CAM; experimental mechanics of machines, machine life expectancy, and reliability studies; machine dynamics and kinematics; vibration, acoustics, and stress/strain; wear resistance engineering; real-time machine operation diagnostics; robotic systems; new materials and manufacturing processes, and other topics.
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