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

作者： Uhlmann, E. Polte, J. Mühlich, C. Mönchinger, S. Ebrahimi, P. Technische Universität Berlin Institute for Machine Tools and Factory Management IWF Germany Fraunhofer Institute for Production Systems and Design Technology IPK Germany Gestalt Robotics GmbH Germany Germany

ISBN: (纸本)9781998999132

The refurbishment of turbine blades requires the precise removal of damaged surface coatings. In manufacturing companies, this usually involves time-consuming activities such as detecting residual coatings and adapting process settings to varying turbine blade geometries. The use of automated systems therefore opens up opportunities to improve the efficiency of turbine blade refurbishment processes by replacing manual tasks. This paper presents an conceptual approach for a semi-automatic decoating process of turbine blades that integrates abrasive blasting technology into a closed loop process control system. The experimental setup consists of a robot for guiding the turbine blade in a blast machine and a nozzle system for local removal of residual coatings using abrasive material. Based on image processing the residual coatings of a turbine blade are labeled by a neural network and mapped to a 3D model of the turbine blade, which is used by a software control system to coordinate the decoating process. Using a prototype setup this paper investigates the applicability of the proposed approach and evaluates its feasibility. © 2023 Euspen Headquarters.

关键词： Turbomachine blades

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Supporting Changes in Digital Ownership and Data Sovereignty Across the Automotive Value Chain with Catena-X

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Procedia Computer Science 2025年 253卷 374-383页

作者： Marvin Manoury Theresa Riedelsheimer Malte Hellmeier Tom Meyer Fraunhofer Institute for Production Systems and Design Technology IPK Pascalstrasse 8-9 10587 Berlin Germany Fraunhofer Institute for Software and Systems Engineering ISST Speicherstraße 6 44147 Dortmund Germany

Considering the concept of a Circular Economy, which entails several life cycles of, e.g., vehicles, their components, and materials, it is important to investigate how the respective Digital Twins are managed over the lifecycle of their physical assets. This publication presents and compares three approaches for managing Digital Twins in industrial use cases. For the aggregation of these approaches, a user-centered design approach has been used in the research project Catena-X which focuses on the automotive industry. The results are analyzed qualitatively based on aspects such as data ownership and data sovereignty. It was identified, that all three approaches have limitations and benefits which make them useful in different scenarios. An overview of their strengths and weaknesses is presented to select an appropriate approach In similar setups. The results described in this publication can be used to select the best update approach in data spaces where multiple stakeholders are able to update information on a single asset.

关键词： Digital Twins Ownership Circular Economy Data Sovereignty Supply Chain Catena-X

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Automated 2D-3D-Mapping and Assessment of Defects Obtained from 2D Image Detection on a 3D Model for Efficient Repair of Industrial Turbine Blades 1

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10th International Conference on Sustainable design and Manufacturing, KES-SDM 2023

作者： Joost, Robert Mönchinger, Stephan Engeländer, Lukas Lindow, Kai Fraunhofer Institute for Production Systems and Design Technology IPK Pascalstraße 8-9 Berlin10587 Germany Technische Universität Berlin Straße des 17. Juni 135 Berlin10623 Germany

ISBN: (数字)9789819981595

ISBN: (纸本)9789819981588

Manufacturing processes suited to repair worn-out machine parts are increasingly gaining traction in industrial practice. This evolution is driven by the desire to contribute to sustainable production by extending the lifetime of a part, and methods and machine tools have evolved in the last years, such that the refurbishment reaches equivalent quality compared to new parts. Yet, repair processes often remain too tedious and expensive to be profitable, and are therefore not put in practice. This could be prevented by increased efficiency and automation. In order to repair parts, the defects need to be detected and assessed. This task lies in the field of Reverse Engineering (RE). In the scope of repair and overhaul, RE aims to obtain data and models that can be fed to subsequent applications, such as path planning for additive manufacturing. This paper presents a highly automated process for defect inspection by the example of industrial turbine blades. The current process requires many analogue work steps and human intervention. The developed software processes defects obtained by AI-based image classification. It mainly consists of camera scene calibration, 3D pose estimation, and 2D-3D-mapping. The gained value is the new composition of existing technologies and their customization for turbine blades. Accuracy and computational duration are assessed. The presented method is able to enhance the reparation process and can be deployed to different applications and industries. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Turbomachine blades

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Inertial Measurement Unit based Human Action Recognition for Soft-Robotic Exoskeleton 13

Inertial Measurement Unit based Human Action Recognition for...

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13th International DAAAM Baltic Conference and 29th International Baltic Conference, BALTMATTRIB 2021

作者： Kuschan, Jan Burgdorff, Moritz Filaretov, Hristo Krüger, Jörg Fraunhofer Institute for Production Systems Design Technology IPK Germany

Absence from work caused by overloading the musculoskeletal system lowers the life quality of the worker and gains unnecessary costs for both the employer and the health system. Exoskeletons can present a solution. Typically, such systems struggle with stiffness and discomfort and primarily a lack of battery lifetime. Soft-robotic exoskeletons offer a possibility to overcome these problems by increasing the system flexibility, not limiting the supported DoF and being actuator and joint together. Since soft-robotic exoskeletons can be designed only using power when supporting the wearer, it is possible to increase the battery lifetime by only acting on those actions for which the wearer needs support. Dealing with controls for soft-robotic exoskeleton one major difficulty is to find a compromise between saving energy and supporting the wearer. Having an action-depending control can reduce the supported actions to cover only relevant ones and increase the lifetime of the battery. The system conditions are to detect the user actions in real-time and distinguish between actions which require support and those which do not. We contribute an analysis and modification of human action recognition (HAR) benchmark algorithms from activities of the daily living, transferred them onto industrial use cases containing short and mid-term action and reduce the models to be compatible using embedded computers for real-time recognition on soft exoskeletons. We identified the most common challenges for inertial measurement units based HAR and compare the best-performing algorithms using a newly recorded data set overhead car assembly for industrial relevance. As a benchmark data set we focused on the"Opportunity" data set. By introducing orientation estimation, we were able to increase the F1 scores by up to 0.04. With an overall F1 score without a Null-class of up to 0.883, we were able to lay the foundation to use HAR for action dependent force support. © 2021 DAAAM International. A

关键词： Musculoskeletal system

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production environment of toMorrow (ProMo): Partially automated repair process of small tool moulds, forming tools, injection moulding tools and sand casting tools 13

Production environment of toMorrow (ProMo): Partially automa...

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13th International DAAAM Baltic Conference and 29th International Baltic Conference, BALTMATTRIB 2021

作者： Kuschan, Jan Müller, Vinzenz Mönchinger, Stephan Heimann, Oliver Niebuhr, Carsten Kabha, Oday Fraunhofer Institute for Production Systems and Design Technology IPK Germany

Small defects in the grain or major damage to a moulded part or tool can bring production to a standstill. SMEs in particular have neither the personnel nor the equipment to repair such damage on their own, so they send it to specialised contractors. The repair process is carried out manually, depending on the accuracy requirements, and is usually completed by a finishing process. This work requires qualified personnel and, at the same time, requires a lot of time in case of larger damages. In this paper we present a way to map the Maintenance, Repair and Operations (MRO) process chain in a partially automated manner. The symbiosis of individual technologies results in a significantly increased efficiency of the MRO process chain, which continues to focus on people and their process knowledge. While Directed Energy Deposition (DED) for the MRO of moulded parts is used widely, usually a high manual effort in measuring the component geometries and teaching of the machine tool paths is necessary. However, there are clear advantages compared to the manufacture of new parts or manual laser welding repair. At the same time, the resource and energy requirements can often be significantly reduced compared to new part production. ProMo focuses on automating the time-consuming machine programming by reducing the number of necessary work steps in CAD/CAM-based program creation. Based on a subsequent robot-guided scan, a digital actual 3D model is generated. Due to intelligent path planning algorithms, no manual programming of the robot is necessary and at the same time it is possible to detect components of different sizes, shapes and covers in this system with a minimum of effort. In addition, the operator passes on elementary information, such as the approach path of the milling head, to the subsequent processes by means of finger gestures and can thus significantly reduce tedious CAM programming steps. Now, the scanned component is transferred to a 3D-CAD model and a target

关键词： Computer aided design

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ABRASIVE PROPERTIES OF MAGNETO-RHEOLOGICAL FLUIDS FOR IMMERSED TUMBLING PROCESSES 38

ABRASIVE PROPERTIES OF MAGNETO-RHEOLOGICAL FLUIDS FOR IMMERS...

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38th Annual Meeting of the American Society for Precision Engineering, ASPE 2023

作者： Sordon, Fabian Ludwig, Jonas Schreiner, Valentin Hocke, Toni Uhlmann, Eckart Maas, Jürgen Mechatronic Systems Lab EMK Technische Universität Berlin Germany Institute for Machine Tools and Factory Management IWF Technische Universität Berlin Germany Fraunhofer Institute for Production Systems and Design Technology IPK Germany

ISBN: (纸本)9781887706599

Micro-milling tools, widely used in industrial environments for manufacturing micro- and precision components, experience premature tool failure primarily due to cutting edge wear. In immersed tumbling processes, the cutting edges can be post-processed to gain homogeneous edge radii and reduce the tool wear. However, immersed tumbling processes exhibit limitations in the adjustability of the cutting edge geometry as well as difficulties in the directed processing of main and secondary cutting edges. Therefore, a novel immersed tumbling process using magnetorheological fluids (MRF) is investigated to enable a directed processing method in an applied magnetic field. The focus of this work is to identify a suitable composition of the MRF for an increased abrasive effect on high-speed steels. For this purpose, variously composed MRF samples are blended with abrasive particles and then examined using a custom-designed test bench that replicates the immersed tumbling process. The material removal rate on high-speed steel specimens is determined by optical analysis of the edge rounding of the samples before and after the abrasive process in order to find an optimized abrasive MRF composition with the highest material removal rate on high-speed steels. © 2023 Proceedings - ASPE 2023 Annual Meeting. All rights reserved.

关键词： Magnetorheological fluids

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Considering LCA in System Architectures of Smart-Circular PSS 18th

Considering LCA in System Architectures of Smart-Circular PS...

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18th Global Conference on Sustainable Manufacturing, GCSM 2022

作者： Kruschke, Thomas Riedelsheimer, Theresa Lindow, Kai Fraunhofer Institute Production Systems and Design Technology Pascalstr. 8-9 Berlin10587 Germany

ISBN: (纸本)9783031288388

The realization of smart-circular Product-Service systems has theoretically promising advantages compared to traditional products. Nevertheless, the sustainability improvement, especially for the ecological dimension is not yet satisfactorily proved. In this paper, the authors examined the current state of research within a systematic literature review with a specific focus on the overlap of the topics: Life Cycle Assessment, Model-Based systems Engineering, Product-Service systems, and Circular Economy. The aim is to analyze the potential of a proactive quantification of the ecological impact in an early stage during the development of smart-circular PSS – the system architecture definition. As a result of the systematic review, 27 relevant papers were identified and analyzed and the findings are presented in a structured way. The main finding is that the current state of the art in this research field still is in the conceptualization stage. In addition, a proactive approach is rare and circularity is not considered to its fullest. Quantified use cases do not draw the system boundaries Cradle-to-Cradle and not every of the 9R-strategies is considered. Furthermore, the potentials and challenges of the revealed research gap are summarized. © 2023, The Author(s).

关键词： Life cycle

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

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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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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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