This paper introduces a methodology for information modelling and analysis of physical manufacturing processes for digital twins (DTs). It aims to establish a comprehensive and fundamental understanding of manufacturing processes regarding the specific purpose of the DT. Through this methodology, information entities within the manufacturing process that can be represented in DTs, along with their essential attributes, are systematically identified. To achieve this, an information model is firstly proposed to define such entities, termed as representative information. The attributes and hierarchy of entities are formulated based on a requirements analysis of the DT lifecycle. An Integration Definition for Process Modelling 0 (IDEF0) model, Petri nets, and a literature-based identification process are applied to represent the manufacturing process’s workflow and identify information entities. Moreover, the relative importance of representing each information entity in a DT is evaluated by integrating domain-specific knowledge with the specific purpose of the DT. Three types of information analysis are suggested, each with its corresponding methods: empirical analysis, theoretical analysis, and experimental analysis. Specifically, this study explores the material extrusion (MEX) process of the Prusa i3 MK3 printer, resulting in an information model consisting of 128 entities including 21 components, 25 activities and 82 properties. These information entities and associated attributes provide a reference for selecting and synchronizing specific physical information in a DT for estimating dimensional accuracy during the MEX process.

中文翻译：

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数字孪生制造过程的信息建模和分析方法


本文介绍了数字孪生 (DT) 物理制造过程的信息建模和分析方法。它旨在建立对有关 DT 特定目的的制造过程的全面和基本的理解。通过这种方法，可以系统地识别制造过程中可以用 DT 表示的信息实体及其基本属性。为了实现这一目标，首先提出了一个信息模型来定义这些实体，称为代表性信息。实体的属性和层次结构是根据DT生命周期的需求分析制定的。应用过程建模 0 集成定义 (IDEF0) 模型、Petri 网和基于文献的识别过程来表示制造过程的工作流程并识别信息实体。此外，通过将特定领域的知识与 DT 的特定目的相结合来评估在 DT 中表示每个信息实体的相对重要性。提出了三种类型的信息分析，每种类型都有相应的方法：实证分析、理论分析和实验分析。具体来说，本研究探索了 Prusa i3 MK3 打印机的材料挤出 (MEX) 过程，产生了一个由 128 个实体组成的信息模型，其中包括 21 个组件、25 个活动和 82 个属性。这些信息实体和相关属性为选择和同步DT中的特定物理信息提供了参考，以估计MEX过程中的尺寸精度。