Actual Problems of Creating Digital Twins of Machine Engineering Products in Terms of Durability Assessment

IF 0.9 4区 材料科学 Q4 MATERIALS SCIENCE, MULTIDISCIPLINARY
A. V. Erpalov, K. A. Khoroshevskii, I. V. Gadolina
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Abstract

The global digitalization of production opens new opportunities for predictive diagnostics of the technical condition of mechanical engineering products. The issues attributed to assessing their technical condition, primarily to the determination of the residual life of mechanical engineering products, are considered. Currently, a class of virtual models, digital twins of the residual life, is distinguished. Apart from the functions of monitoring and predicting the stability of structures, they can possess a feedback and control the durability by simulating and optimizing the real technological process, taking into account the possibility of achieving the limit state of the structure. The problems of existing methods of assessing the durability in the time and frequency domains are considered in detail from the viewpoint of using the residual resource of structures as the basis of an algorithmic support of digital twins. We also marked the possible variety of obtaining initial data for assessing the durability, namely, fatigue diagrams of materials for different types and schemes of loading. The fatigue diagram is greatly affected by the loading process (regular, random, or mixed), while in the actual work the nonstationary random loading prevails. The methods used for assessing the durability of nonstationary loading are poorly studied and often resolve into simplification of a nonstationary process. The study is focused on nonstationary loading processes, since the creation of digital twins implies a continuous analysis of the durability of the structure for real operational loads. Other problems that can arise when developing digital twins of structures are also considered and discussed.

Abstract Image

在耐久性评估方面创建机械工程产品数字孪生产品的实际问题
摘要 全球生产数字化为机械工程产品技术状况的预测诊断提供了新的机遇。本文探讨了评估机械工程产品技术状况的问题,主要是确定机械工程产品的残余寿命。目前,有一类虚拟模型,即残余寿命的数字孪生模型被区分开来。除了具有监测和预测结构稳定性的功能外,它们还可以通过模拟和优化实际技术过程来反馈和控制耐用性,同时考虑到实现结构极限状态的可能性。从使用结构残余资源作为数字孪生算法支持的基础的角度,详细考虑了现有时域和频域耐久性评估方法的问题。我们还指出了获取评估耐久性初始数据的各种可能方式,即不同类型和不同加载方案下的材料疲劳图。疲劳图受加载过程(常规、随机或混合)的影响很大,而在实际工作中,非稳态随机加载占主导地位。用于评估非稳态加载耐久性的方法研究较少,通常会简化非稳态过程。本研究的重点是非稳态加载过程,因为创建数字孪生结构意味着要对结构在实际运行荷载下的耐久性进行持续分析。此外,还考虑并讨论了在开发数字孪生结构时可能出现的其他问题。
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来源期刊
Inorganic Materials
Inorganic Materials 工程技术-材料科学:综合
CiteScore
1.40
自引率
25.00%
发文量
80
审稿时长
3-6 weeks
期刊介绍: Inorganic Materials is a journal that publishes reviews and original articles devoted to chemistry, physics, and applications of various inorganic materials including high-purity substances and materials. The journal discusses phase equilibria, including P–T–X diagrams, and the fundamentals of inorganic materials science, which determines preparatory conditions for compounds of various compositions with specified deviations from stoichiometry. Inorganic Materials is a multidisciplinary journal covering all classes of inorganic materials. The journal welcomes manuscripts from all countries in the English or Russian language.
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