Twin-Control Evaluation in Industrial Environment: Automotive Case

Armendia, Mikel; Ghassempouri, Mani; Selmi, Jaouher; Berglind, Luke; Sossenheimer, Johannes; Flum, Dominik; Peysson, Flavien; Fuertjes, Tobias; Plakhotnik, Denys

doi:10.1007/978-3-030-02203-7_16

Cited by 3 publications

(2 citation statements)

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“…The paradigm of DT comprises detailed virtual depictions of physical systems, their structures and dynamic interaction mechanisms to provide accurate information for prognostics and health management [35]. Prevalent objectives are, amongst others, the improvement of machine tool life cycles [36] and production performance evaluations [37].…”

Section: Data-driven Approaches To Create Digital Twins In Factoriesmentioning

confidence: 99%

Data-Driven Digital Twins for Technical Building Services Operation in Factories: A Cooling Tower Case Study

Blume

Thiede

et al. 2020

JMMP

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Cyber-physical production systems (CPPS) and digital twins (DT) with a data-driven core enable retrospective analyses of acquired data to achieve a pervasive system understanding and can further support prospective operational management in production systems. Cost pressure and environmental compliances sensitize facility operators for energy and resource efficiency within the whole life cycle while achieving reliability requirements. In manufacturing systems, technical building services (TBS) such as cooling towers (CT) are drivers of resource demands while they fulfil a vital mission to keep the production running. Data-driven approaches, such as data mining (DM), help to support operators in their daily business. Within this paper the development of a data-driven DT for TBS operation is presented and applied on an industrial CT case study located in Germany. It aims to improve system understanding and performance prediction as essentials for a successful operational management. The approach comprises seven consecutive steps in a broadly applicable workflow based on the CRISP-DM paradigm. Step by step, the workflow is explained including a tailored data pre-processing, transformation and aggregation as well as feature selection procedure. The graphical presentation of interim results in portfolio diagrams, heat maps and Sankey diagrams amongst others to enhance the intuitive understanding of the procedure. The comparative evaluation of selected DM algorithms confirms a high prediction accuracy for cooling capacity (R2 = 0.96) by using polynomial regression and electric power demand (R2 = 0.99) by linear regression. The results are evaluated graphically and the transfer into industrial practice is discussed conclusively.

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Section: Data-driven Approaches To Create Digital Twins In Factoriesmentioning

confidence: 99%

Data-Driven Digital Twins for Technical Building Services Operation in Factories: A Cooling Tower Case Study

Blume

Thiede

et al. 2020

JMMP

View full text Add to dashboard Cite

show abstract

“…Unfortunately, this potential is frequently approached by a serial implementation of company-specific solutions, which limits flexibility, general validity and transferability. Either way, the approach to acquire and analyze (existing) data from established process chains to gain technological knowledge is promising [2]. Either way, the representativeness of the data is decisive for success, which means that the digital twin (cf.…”

Section: Introductionmentioning

confidence: 99%

Digital Twins for High-Tech Machining Applications—A Model-Based Analytics-Ready Approach

Hänel

Seidel

Frieß

et al. 2021

JMMP

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This paper presents a brief introduction to competition-driven digital transformation in the machining sector. On this basis, the creation of a digital twin for machining processes is approached firstly using a basic digital twin structure. The latter is sub-grouped into information and data models, specific calculation and process models, all seen from an application-oriented perspective. Moreover, digital shadow and digital twin are embedded in this framework, being discussed in the context of a state-of-the-art literature review. The main part of this paper addresses models for machine and path inaccuracies, material removal and tool engagement, cutting force, process stability, thermal behavior, workpiece and surface properties. Furthermore, these models are superimposed towards an integral digital twin. In addition, the overall context is expanded towards an integral software architecture of a digital twin providing information system. The information system, in turn, ties in with existing forward-oriented planning from operational practice, leading to a significant expansion of the initially presented basic structure for a digital twin. Consequently, a time-stratified data layer platform is introduced to prepare for the resulting shadow-twin transformation loop. Finally, subtasks are defined to assure functional interfaces, model integrability and feedback measures.

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Supporting the life cycle of household appliances during the operation stage

Ivakhnenko,

Byshkin,

Razumov

et al. 2023

E3S Web of Conf.

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The last decade of the twentieth century was characterized by a rapid digitalization of all areas of activity from traditional research to the automation of production, trade, commerce, banking, and other activities. The CALS technology has become largely popular in the world, including Russia. Continuous Acquisition and Lifecycle Support (CALS) stands for the continuous information support of supplies and the life cycle of products, or the information support for product life cycle (IPS) The product life cycle comprises a set of processes performed from the identification of needs for specific products to the satisfaction of such needs and the scrapping of the products. The analysis of the household appliance service companies helped identify the key causes of equipment failure, one of which is failure to meet the operating requirements. We also established that servicing household appliances takes too much of the consumers’ time. They have to understand what consumables they need, when and where to buy them, and how to carry out the maintenance (themselves or through an agent). This article presents an instrument for the operation of products and services required by average consumers in their everyday lives. The tool is made up of a database that stores information about the useful life of different products by specific users as well as information about the maintenance, adjustment, and other actions required for the rational operation of the said products. The database will be used by specific vendors who will keep a database of their clients and products. Alternatively, a retail chain may keep a register of its clients and products sold to them and offer household appliance registration and maintenance services. The third option is creating a cloud service to register consumers, vendors, and service agencies.

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Twin-Control Evaluation in Industrial Environment: Automotive Case

Abstract: The previous chapters of this book have presented the different features developed in Twin-Control project, including results obtained in research environment. However, M. Armendia (B) IK4-Tekniker,

Cited by 3 publications

References 0 publications

Data-Driven Digital Twins for Technical Building Services Operation in Factories: A Cooling Tower Case Study

Data-Driven Digital Twins for Technical Building Services Operation in Factories: A Cooling Tower Case Study

Digital Twins for High-Tech Machining Applications—A Model-Based Analytics-Ready Approach

Supporting the life cycle of household appliances during the operation stage

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