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Sustainable product lifecycle management with Digital Twins: A systematic literature review

Procedia CIRP 2023年 119卷 776-781页

作者： Anne Seegrün Thomas Kruschke Janine Mügge Louis Hardinghaus Tobias Knauf Theresa Riedelsheimer Kai Lindow Fraunhofer Institute for Production Systems and Design Technology IPK Pascalstraße 8-9 10587 Berlin Germany

A Digital Twin (DT) is a virtual replica of a product or product-service system, which can be used to provide transparency of a product's sustainability and to positively influence the ecological impact throughout its lifecycle by means of intelligent data analytics. This paper identifies current sustainability-focused application scenarios of DTs in the manufacturing industry and outlines the results of a systematic literature review (SLR). The identification of the state-of-the-art and the assessment of current DT concepts with regard to the addressed product lifecycle phases, technological maturity and sustainability scope point towards key directions to guide future research.

关键词： Digital Twin Sustainability Product Lifecycle Circular Economy Manufacturing

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Energy Management for Industrial Robots based on AutomationML

Energy Management for Industrial Robots based on AutomationM...

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International Conference on Control, Decision and Information Technologies (CoDIT)

作者： Valentyn Petrichenko Gregor Thiele Department for Process Automation and Robotics Fraunhofer Institute for Production Systems and Design Technology IPK Berlin Germany

ISBN: (数字)9798350373974

ISBN: (纸本)9798350373981

Motivated by political regulations and rising energy prices, companies strive for implementing energy management and for reducing their energy consumption. It is an expenditure of work for the energy manager to gather all relevant information about the facilities and machines (e.g. meaning of measurement and control signals, limits of these quantities, installed nominal capacities). In many cases, there is digital planning data from the planning, construction and commissioning phases. Using AutomationML, this information can be used collaboratively not only for engineering and maintenance but for energy monitoring and optimization. In this study, an industrial robot and two conveyors are integrated in the wide-spread energy management software suite EnEffCo. We document the method and results. Implications for deriving optimization formulations are discussed.

关键词： Service robots Industrial robots Software Regulation Planning Maintenance Energy management Information technology Optimization Monitoring

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A Practical Approach to Realize a Closed Loop Energy Demand Optimization of Milling Machine Tools in Series production 18th

A Practical Approach to Realize a Closed Loop Energy Demand ...

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18th Global Conference on Sustainable Manufacturing, GCSM 2022

作者： Can, Alperen Schulz, Hendrik El-Rahhal, Ali Thiele, Gregor Krüger, Jörg Daimlerstraße 143 Mercedes-Benz AG Berlin12277 Germany Fraunhofer Institute for Production Systems and Design Technology IPK Pascal-Straße 8-9 Berlin10587 Germany

ISBN: (纸本)9783031288388

Energy efficiency is becoming increasingly important for industry. Many approaches for energy efficiency improvements lead to the purchase of new hardware, which could neglect the sustainability. Therefore, optimizing the energy demand of existing machine tools (MT) is a promising approach. Nowadays energy demand optimization of MT in series production is mainly done manually by the operators, based on implicit knowledge gained by experience. This involves manual checks to ensure that production targets like product quality or cycle time are met. With data analytics it is possible to check these production targets autonomously, which allows optimizing production systems data driven. This paper presents the approach and evaluation of a closed loop energy demand optimization of auxiliary units for milling MT during series production. The approach includes, inter alia, a concept for machine connectivity using edge devices and a concept for validating production targets. © 2023, The Author(s).

关键词： Energy efficiency

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Investigating the potential of artificial intelligence for the employee from the perspective of AI-experts

Investigating the potential of artificial intelligence for t...

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2023 IEEE International Conference on technology Management, Operations and Decisions, ICTMOD 2023

作者： Humpert, Lynn Tihlarik, Amelie Waschle, Moritz Anacker, Harald Dumitrescu, Roman Albers, Albert Albert, Bruno Robenack, Silke Pfeiffer, Sabine Fraunhofer Institute for Mechatronic System Design Paderborn Germany Friedrich-Alexander-Universität Erlangen-Nürnberg Chair of Sociology - Technology - Labour - Society Nuremberg Germany Karlsruhe Institute of Technology Ipek - Institute of Product Engineering Karlsruhe Germany

ISBN: (纸本)9798350313352

Artificial intelligence (AI) has developed rapidly in recent months. In the form of chatbots, texting is becoming easier in our everyday lives. The potential for using this technology in industry is also growing. Small and medium-sized companies, in particular, are still underutilizing the opportunity to use AI in production and development as a competitive advantage or for sustainability goals. People are also often neglected in the introduction of new technologies. From a socio-technical perspective, employees must be explicitly considered as active co-creators and users of AI, whose knowledge of work processes and interactions with technology enriches the design of the human-technology interface and, in the long run, the development of the technology itself. This paper examines how employees have used AI in the past, what their requirements are for their work and collaboration processes, and how they view the possibilities of technologies such as AI. Using a predominantly qualitative approach, this paper describes the socio-technical aspects that companies need to consider. The findings are consistent with previous literature and have been validated in expert workshops. This forms the basis for helping companies to develop this technology for themselves. © 2023 IEEE.

关键词： User centered design

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Towards Robot-Assisted Data Generation with Minimal User Interaction for Autonomously Training 6D Pose Estimation in Operational Environments 56

Towards Robot-Assisted Data Generation with Minimal User Int...

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56th CIRP International Conference on Manufacturing systems, CIRP CMS 2023

作者： Koch, Paul Schlüter, Marian Thill, Serge Krüger, Jörg Fraunhofer Institute for Production and System Design Technology Pascalstraße 8-9 Berlin10587 Germany Donders Institute for Brain Cognition and Behavior Radboud University Nijmegen6525 HR Netherlands Technical University Berlin Institute for Machine Tools and Factory Management Pascalstraße 8-9 Berlin10587 Germany

Recently, deep neural networks achieved state-of-the-art results in the subject of 6D object pose estimation for robot manipulation. However, those deep learning methods require expensive training data. Current methods for cost reduction use synthetic data, but rely on expert knowledge and suffer from the domain gap when shifting to the real application. Here, we present a proof of concept for a novel approach towards generating annotated training data for 6D object pose estimation. This approach is designed for learning new objects in operational environments while requiring little interaction and no expertise on the part of the user. © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the 56th CIRP International Conference on Manufacturing systems 2023.

关键词： 6D Object Pose Estimation Artificial Intelligence Data Generation Robot Cognition Robotic Grasping

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6D Pose Estimation on Point Cloud Data through Prior Knowledge Integration: A Case Study in Autonomous Disassembly 31

6D Pose Estimation on Point Cloud Data through Prior Knowled...

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31st CIRP Conference on Life Cycle Engineering, LCE 2024

作者： Wu, Chengzhi Fu, Hao Kaiser, Jan-Philipp Barczak, Erik Tabuchi Pfrommer, Julius Lanza, Gisela Heizmann, Michael Beyerer, Jürgen Institute for Anthropomatics and Robotics Karlsruhe Institute of Technology Kaiserstraße 12 Karlsruhe76131 Germany Wbk Institute of Production Science Karlsruhe Institute of Technology Kaiserstraße 12 Karlsruhe76131 Germany Institute of Industrial Information Technology Karlsruhe Institute of Technology Hertzstraße 16 Karlsruhe76187 Germany Fraunhofer Institute of Optronics System Technologies and Image Exploitation IOSB Fraunhoferstraße 1 Karlsruhe76131 Germany

The accurate estimation of 6D pose remains a challenging task within the computer vision domain, even when utilizing 3D point cloud data. Conversely, in the manufacturing domain, instances arise where leveraging prior knowledge can yield advancements in this endeavor. This study focuses on the disassembly of starter motors to augment the engineering of product life cycles. A pivotal objective in this context involves the identification and 6D pose estimation of bolts affixed to the motors, facilitating automated disassembly within the manufacturing workflow. Complicating matters, the presence of occlusions and the limitations of single-view data acquisition, notably when motors are placed in a clamping system, obscure certain portions and render some bolts imperceptible. Consequently, the development of a comprehensive pipeline capable of acquiring complete bolt information is imperative to avoid oversight in bolt detection. In this paper, employing the task of bolt detection within the scope of our project as a pertinent use case, we introduce a meticulously devised pipeline. This multi-stage pipeline effectively captures the 6D information with regard to all bolts on the motor, thereby showcasing the effective utilization of prior knowledge in handling this challenging task. The proposed methodology not only contributes to the field of 6D pose estimation but also underscores the viability of integrating domain-specific insights to tackle complex problems in manufacturing and automation. © 2024 Elsevier B.V.. All rights reserved.

关键词： Pipelines

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Application of laser doppler vibrometry to characterize the laser drilling process 23

Application of laser doppler vibrometry to characterize the ...

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23rd International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2023

作者： Uhlmann, Eckart Hein, Christoph Schweitzer, Luiz Fraunhofer Institute for Production Systems and Design Technology IPK Germany Institute for Machine Tools and Factory Management IWF Technische Universität Berlin Germany University Medicine Greifswald Department of Orthopedics and Orthopedic Surgery Germany

ISBN: (纸本)9781998999132

Laser drilling is being used more and more frequently in many industries, such as the aerospace, medical and electronics industries, to produce precision bores. A wide range of technically difficult-to-machine materials are applied. Laser drilling has already been intensively researched in order to investigate the basic mechanisms of the drilling process and the influences of various machining parameters on the quality of the holes. These findings have explicitly led to more successful machining processes of various technical components and industries. Despite all the advantages, there are some limitations of the laser drilling process and thereby a demand for innovative solutions to increase productivity. This paper presents a novel approach to the characterisation of the laser drilling process through the analysis of the acoustic signal characteristics. The objective is to apply a new generation of optical microphones to detect key aspects of the laser drilling process. This enables the development of new strategies to optimize the laser processing parameters, increasing repeatability and productivity for industrial applications. © 2023 Euspen Headquarters.

关键词： Optimization

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REPLICATION OF FUNCTIONAL SURFACES MICRO-STRUCTURED BY EDM 37

REPLICATION OF FUNCTIONAL SURFACES MICRO-STRUCTURED BY EDM

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37th Annual Meeting of the American Society for Precision Engineering, ASPE 2022

作者： Uhlmann, Eckart Polte, Mitchel Ludwig, Jonas Bolz, Robert Technische Universität Berlin Institute for Machine Tools and Factory Management Berlin Germany Fraunhofer Institute for Production Systems and Design Technology Berlin Germany

ISBN: (纸本)9781887706568

Functional surfaces are applied in a broad range of industries ranging from automotive over aerospace to medical technology. In this paper, the manufacturing of molds micro-structured by sinking electrical discharge machining (sEDM) and the surface replication on polycarbonat (PC) is discussed. The presented analysis shows the ability to replicate hydrophobic and hydrophilic effects on PC samples from micro-structured molds fabricated by sEDM. © 2022 Proceedings - ASPE 2022 Annual Meeting. All right reserved.

关键词： Molds

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DEM simulation of centrifugal disc finishing 22

DEM simulation of centrifugal disc finishing

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22nd International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2022

作者： Uhlmann, E. Polte, J. Kuche, Y. Landua, F. Fraunhofer Institute for Production Systems and Design Technology IPK Germany Institute for Machine Tools and Factory Management IWF Technische Universität Berlin Germany

ISBN: (纸本)9781998999118

The finishing of small components with complex geometries is a major industrial challenge. One process that is suitable for targeted post-processing is centrifugal disc finishing with wet and dry media. In this process, the workpieces float as bulk material together with the abrasive particles in a container and are completely surrounded by the abrasive medium. As shown in previous studies, the Discrete Element Method (DEM) is suitable for investigations of grinding processes with specified workpiece motions. To simulate unpredictable workpiece motion, a new approach is being tested in which the workpieces themselves are treated as particles. Within this research paper, results for the post-processing of centrifugal disc finishing with the software ROCKY DEM are presented. The investigation results show good correlation between the numerical determined pressures and the analysis results of the rounded workpiece edges on test components made of mould-steel X13NiMnCuAl4-2-1-1. © European Society for Precision Engineering and Nanotechnology, Conference Proceedings - 22nd International Conference and Exhibition, EUSPEN 2022. All rights reserved.

关键词： Grinding (machining)

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Diamond slide burnishing for the finishing of electrical discharge machined surfaces 22

Diamond slide burnishing for the finishing of electrical dis...

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22nd International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2022

作者： Uhlmann, E. Polte, M. Yabroudi, S. Waiblinger, N. Fraunhofer Institute for Production Systems and Design Technology IPK Germany Institute for Machine Tools and Factory Management IWF Technische Universität Berlin Germany

ISBN: (纸本)9781998999118

Electrical discharge machining (EDM) represents a key manufacturing technology in a broad range of industries, e. g. aerospace, automotive and mould making. Current industrial and scientific relevant challenges are long machining times to achieve the surface roughness values needed, excessive tool electrode wear and the related huge number of tool electrodes needed. At state of the art, the challenges mentioned strongly limit the economic efficiency of precision EDM processes. To overcome these major challenges, the substitution of time consuming EDM polishing processes by diamond slide burnishing (DSB) shows great potential. During the process, a monocrystalline spherical diamond burnishing tool is moved along the surface of the workpiece with a defined process force. In this way the surface is specifically compressed and roughness peaks are smoothed. Within this work the applicability of diamond slide burnishing for the finishing of electrical discharge machined surfaces was investigated. For this purpose, three VDI grades with different surface roughness values were subsequently machined by DSB. The results show that the surfaces with different initial surface conditions can be successfully finished by DSB. The surface roughness of VDI grade 30 is identified as an upper limit for the surface preparation by EDM. A significant improvement of the surface roughness Ra by 93 % and a reduction of the processing time by 40 % could be achieved by the post-processing using DSB. Therefore, the new process chain presented shows great potential for being used in the field of tool and mould making and especially for the production of injection moulds. © European Society for Precision Engineering and Nanotechnology, Conference Proceedings - 22nd International Conference and Exhibition, EUSPEN 2022. All rights reserved.

关键词： Surface roughness

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