Development and validation of a digital twin framework for SMT manufacturing

Seidel, Reinhardt; Rachinger, Ben; Thielen, Nils; Schmidt, Konstantin; Meier, Sven; Franke, Jörg

doi:10.1016/j.compind.2022.103831

Cited by 11 publications

(3 citation statements)

References 34 publications

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“…During the product manufacturing stage, the application of DT technology aims to achieve quality data acquisition, processing quality monitoring and analysis, processing quality prediction, and control functions in the mechanical process system. These aspects are crucial for optimizing the product manufacturing process, improving processing quality, and increasing processing efficiency [131][132][133]. This section explores the specific applications of DT-driven machining processes and analyses their research progress and limitations.…”

Section: Product Manufacturingmentioning

confidence: 99%

Digital Twins Enabling Intelligent Manufacturing: From Methodology to Application

Hu,

Li,

et al. 2024

Intelligent and Sustainable Manufacturing

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Digital twin technology develops virtual models of objects digitally, simulating their real-world behavior based on data. It aims to reduce product development cycles and costs through feedback between the virtual and real worlds, data fusion analysis, and iterative decision-making optimization. Traditional manufacturing processes often face challenges such as poor real-time monitoring and interaction during machining, difficulties in diagnosing equipment failures, and significant errors in machining. Digital twin technology offers a powerful solution to these issues. Initially, a comprehensive review of the research literature was conducted to assess the current research scope and trends. This was followed by an explanation of the basic concepts of digital twins and the technical pathway for integrating digital twins into intelligent manufacturing including outlining the essential technologies for creating a system of interaction between the virtual and real worlds, enabling multimodel fusion, data sensing, algorithm-based prediction, and intelligent decision-making. Moreover, the application of digital twins in intelligent manufacturing throughout the product life cycle was detailed, covering product design, manufacturing, and service stages. Specifically, in the manufacturing phase, a model based on heat conduction theory and visualization was used to construct a time-varying error model for the motion axis, leading to experiments predicting the time-varying error in the hole spacing of a workpiece. These experiments achieved a minimum prediction error of only 0.2 μm compared to the actual error. By compensating for time-varying errors in real time, the variability in the hole spacing error decreased by 69.19%. This paper concludes by summarizing the current state of digital twins in intelligent manufacturing and projecting future trends in key technologies, application areas, and data use, providing a basis for further research.

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Section: Product Manufacturingmentioning

confidence: 99%

Digital Twins Enabling Intelligent Manufacturing: From Methodology to Application

Hu,

Li,

et al. 2024

Intelligent and Sustainable Manufacturing

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“…From their point of view, such a solution allows to reduce the time of selecting modules for lines, but does not allow to conduct simulations to check the throughput. Reinhardt Seidel developed a new approach to the modeling of production processes, the authors propose to focus primarily on the study of basic elements for SMT assembly [7]. This solution allows for the analysis and modeling of only the link, and not the entire automated production line of SMT assembly, which in aggregate does not allow assessing the load and showing how each element works as a whole.…”

Section: Literature Analysismentioning

confidence: 99%

An Automatic Assembly SMT Production Line Operation Technological Process Simulation Model Development

Yevsieiev

Maksymova

Starodubcev

2023

ISJEA

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This article describes an automatic assembly SMT production line operation technological process simulation model development within the framework of modern cyber-physical production systems. In the course of the research, the authors conduct an analysis of modern publications on the topic of research, and the need to find new approaches for modeling the work of a production line at the initial stages of design. This makes it possible to assess the load on each element of the system at the design stage, and identify disadvantages at the early stages of production planning. The authors give an example of the task solution for modeling a fragment of an automated production line of SMT assembly, based on the use of typical mathematical schemes of mass service systems (MSS). A description of the functioning of the technological link of the process is carried out, and a Q-diagram of the technological process of SMT assembly is developed. Using the simulation modeling language GPSS and the technological parameters of the selected equipment, a block diagram was developed, on the basis of which the program was written and the work of the SMT assembly production line was simulated. The obtained results further allow us to estimate the production capacity, the loading of each equipment, the functioning processes of both the selected fragment, and the developed model and they can be applied to the simulation of large production lines within the framework of PCB production.

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“…Kumar et al [17] developed a framework to analyze the social acceptability of technologies of industry 4.0 by conducting research on Indian manufacturing industry. Some researchers focus on the digital twin for manufacturing industry, including digital twin ecosystem [18], digital twin framework [19], and framework or architecture for developing digital twin [20,21]. Some researchers pay attention to other technologies for developing digital manufacturing, such as digital platforms for learning manufacturing processes planning [22], education programs for the engineers of digital manufacturing systems [23], and digital thread tools for the extension of product life [24].…”

Section: Introductionmentioning

confidence: 99%

The Development Status of the Manufacturing Industry and the Impact of Digital Characteristics from the Perspective of Innovation

Wang,

Gu,

Hong

2024

Sustainability

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From the perspective of innovation of manufacturing links, this paper conducted research on the current situation of manufacturing development and the relationship between regional economy development and digital transformation, aiming to offer suggestions and reference for relevant policy making. Firstly, taking the INCOPAT patent database as the data source, a quantitative analysis was conducted on the patent data of five key links in the manufacturing industry, which obtained the current situation and digital characteristics of the manufacturing industry development from the perspective of link innovation. Then, based on the relevant economic panel data of regions in China, coupling coordination analysis was conducted to investigate the current characteristics of digital transformation of the five links and the coordinated development of the regional economy from 2017 to 2021. The development level and characteristic relations of 31 provinces or cities in these two systems were analyzed. On the whole, the coordinated development level of the two systems in China is steadily rising but varies among different regions, that is, economically developed regions tend to have better digital transformation development. In general, manufacturing digital transformation in China highly relates to regional economy development. Moreover, the development speed of the two systems tends to be stable from 2017 to 2021. The regions with different coordinated development types should formulate corresponding policies to accelerate manufacturing digital transformation and regional economy development.

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Development and validation of a digital twin framework for SMT manufacturing

Cited by 11 publications

References 34 publications

Digital Twins Enabling Intelligent Manufacturing: From Methodology to Application

Digital Twins Enabling Intelligent Manufacturing: From Methodology to Application

An Automatic Assembly SMT Production Line Operation Technological Process Simulation Model Development

The Development Status of the Manufacturing Industry and the Impact of Digital Characteristics from the Perspective of Innovation

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