Contribution to the development of a Digital Twin based on product lifecycle to support the manufacturing process
Contribution to the development of a Digital Twin based on product lifecycle to support the manufacturing process
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DOI：
10.1016/j.procir.2019.03.212
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
K. Schützer;Júlia de Andrade Bertazzi;Carolina Sallati;R. Anderl;E. Zancul
中科院分区：
文献类型：
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作者：
K. Schützer;Júlia de Andrade Bertazzi;Carolina Sallati;R. Anderl;E. Zancul
当前的制造挑战与产品、工艺和生产手段数字化的目标密切相关。在这些方面，有关生产过程的信息是实时可用的，允许管理人员根据数字模型采取行动，并通过它们在实际系统中应用决策。因此，拥有镜像模型或数字双胞胎可以实时吸收，模拟和实现来自真实环境的制造变化，从而更快地检测物理问题，并更快地做出生产响应。数字孪生是物理系统的虚拟表示，它配备了传感器和执行器，并为数字系统提供数据监控和模拟变化等功能。通过这两个组件的同步交互，可以交付上述更快的生产响应。巴西和德国的大学联合开发了一个基于产品生命周期的数字孪生，以支持制造过程来应对这些挑战。拟议的数字孪生试图将产品孪生及其开发过程的孪生结合起来。它应代表制造过程，能够对真实的生产过程进行监控和优化。数字孪生本身被视为生产系统中的产品，因此，它的开发过程将遵循产品生命周期的观点，从概念和计划到实现和使用。随着人工智能工具的引入，数字孪生将进一步得到改进，形成制造过程的智能数字孪生。因此，本文旨在介绍巴西-德国联合合作研究正在开发的一个研究项目的概念。
The current manufacture challenges are closely linked to the aim of digitalizing the product, the process and the means of production. In such aspects, information about the production processes is available in real-time, allowing managers to act on digital models and, through them, apply decisions in real systems. Thus, having a mirror model or a Digital Twin enables real-time absorption, simulation and implementation of manufacturing variations from the real environment, allowing faster detection of physical problems, and faster production response. The Digital Twin is a virtual representation of the physical system, which is equipped with sensors and actuators and feed the digital system, where the monitoring of data and simulation of variations, for instance, take place. From the synchronized interactions of both components, it is possible to deliver the mentioned faster production responses. Brazilian and German universities joined efforts to develop a Digital Twin based on product lifecycle to support the Manufacturing Process to address these challenges. The proposed Digital Twin seeks to integrate the product twin and the twin of its development process. It shall represent the manufacturing process, enabling the monitoring and optimization of the real production process. The Digital Twin itself is addressed as a product inside the production system and, therefore, its development process will follow the product lifecycle perspective, from the conception and planning to its implementation and usage. The Digital Twin will be further improved with the introduction of Artificial Intelligence tools, characterizing a Smart Digital Twin of the Manufacturing Process. Thus, this paper aims to present the concepts of a research project that is being developed in a joint Brazilian-German Cooperative Research.