Digital twin-based virtual commissioning for evaluation and validation of a reconfigurable process line

IF 2.5 Q2 ENGINEERING, INDUSTRIAL
Suveg V. Iyer, Kuldip Singh Sangwan,  Dhiraj
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引用次数: 0

Abstract

The benefits of advancements in information and communication technologies have proliferated in manufacturing applications as more industries are migrating towards industry 4.0 compliance. The industry 4.0 process lines should be dynamic and reconfigurable. Digital twin (DT), supported by real-time data, is getting wide acceptance as a tool for monitoring and control of complex processes. Virtual commissioning (VC) has played a vital role in the software-based validation of the control systems. A DT-based VC methodology is proposed to evaluate and validate a reconfigured process line. The proposed new asset is commissioned virtually in the DT environment maintaining other stations and parameters synchronised. The proposed methodology is validated in a modular production system assembly line. A storage and retrieval station is virtually commissioned by the hardware in loop technique in the assembly line DT with a station time error of 1.3% between the VC model and the actual assembly line data. The case study demonstrates the feasibility of the proposed methodology in assessing the impacts due to reconfiguration of a process line. The findings offer significant support to decision makers in taking informed decisions and to reduce unforeseen interruptions resulting from the integration of a new asset with the existing process line.

Abstract Image

基于数字孪生的虚拟调试,用于评估和验证可重构工艺生产线
随着越来越多的行业向工业 4.0 转型,信息和通信技术的进步为制造业应用带来了更多好处。工业 4.0 流程线应该是动态和可重新配置的。在实时数据的支持下,数字孪生(DT)作为一种监测和控制复杂流程的工具,正在被广泛接受。虚拟调试(VC)在基于软件的控制系统验证中发挥了重要作用。本文提出了一种基于 DT 的虚拟调试方法,用于评估和验证重新配置的工艺生产线。拟议的新资产在 DT 环境中进行虚拟调试,保持其他站点和参数同步。建议的方法在模块化生产系统装配线中得到验证。通过装配线 DT 中的硬件循环技术对一个存储和检索站进行虚拟调试,VC 模型与实际装配线数据之间的站时间误差为 1.3%。该案例研究证明了所提方法在评估工艺线重新配置造成的影响方面的可行性。研究结果为决策者提供了重要的支持,帮助他们做出明智的决策,减少因新资产与现有工艺线整合而造成的意外中断。
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来源期刊
IET Collaborative Intelligent Manufacturing
IET Collaborative Intelligent Manufacturing Engineering-Industrial and Manufacturing Engineering
CiteScore
9.10
自引率
2.40%
发文量
25
审稿时长
20 weeks
期刊介绍: IET Collaborative Intelligent Manufacturing is a Gold Open Access journal that focuses on the development of efficient and adaptive production and distribution systems. It aims to meet the ever-changing market demands by publishing original research on methodologies and techniques for the application of intelligence, data science, and emerging information and communication technologies in various aspects of manufacturing, such as design, modeling, simulation, planning, and optimization of products, processes, production, and assembly. The journal is indexed in COMPENDEX (Elsevier), Directory of Open Access Journals (DOAJ), Emerging Sources Citation Index (Clarivate Analytics), INSPEC (IET), SCOPUS (Elsevier) and Web of Science (Clarivate Analytics).
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