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Securing the Data Flow for Blockchain Technology in a Production Environment ⁎

IFAC-PapersOnLine 2019年第10期52卷 125-130页

作者： Tobias Korb David Michel Oliver Riedel Armin Lechler Institute for Control Engineering of Machine Tools and Manufacturing Units University of Stuttgart 70174 Stuttgart Germany

For several years, blockchain technology have been used and tested in various prototypes for production environments. The main focus of these approaches is the feasibility of different applications. It is usually simply assumed that data in a blockchain is stored immutably. However, the path from data generation to entry into a blockchain is usually neglected. Exactly this topic is discussed in this paper and a solution proposal for a secure data flow from the machine to the blockchain is presented. For this, the hardware and software architecture of the solution is shown, followed by measurements of the operational capability of the solution.

关键词： Blockchain manufacturing Immutability Trust Microcontroller Digitization

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Kinematic simulation to investigate the influence of the cutting edge topography when ball end micro milling

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Procedia CIRP 2021年 102卷 109-114页

作者： Katja Klauer Nicolas Altherr Matthias Eifler Benjamin Kirsch Volker Böß Jörg Seewig Jan C. Aurich Institute for Manufacturing Technology and Production Systems Technische Universität Kaiserslautern Gottlieb-Daimer Str. 67663 Kaiserslautern Germany Institute for Measurement and Sensor-Technology Technische Universität Kaiserslautern Gottlieb-Daimer Str. 67663 Kaiserslautern Germany IU University of Applied Sciences Juri-Gagrin-Ring 152 99084 Erfurt Germany Institute of Production Engineering and Machine Tools Leibniz Universität Hannover An der Universität 2 30823 Gabsen Germany

During the ball end micro milling of material measures, the cutting edge topography is imaged on the machined workpiece. The influence of the chipping on the resulting surface quality is much more dominant than other kinematic effects. In this simulative study, a model is built that is able to predict the correlation between the cutting edge topography and the resulting workpiece topography. Thus, the mentioned correlation can be investigated without overlaying effects of material separation or measurement uncertainties, which are unavoidable in an experimental study. The model has been validated based on four artificial chippings.

关键词： micro milling cutting edge topography kinematic simulation dexel model

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Towards an Automated Product-Production System Design - Combining Simulation-based engineering and Graph-based Design Languages

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Procedia manufacturing 2020年 52卷 258-265页

作者： Karl Kübler Dominik Schopper Oliver Riedel Stephan Rudolph Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW) University of Stuttgart Seidenstr. 36 70174 Stuttgart Germany Institute of Aircraft Design (IFB) University of Stuttgart Pfaffenwaldring 31 70569 Stuttgart Germany Fraunhofer Institute for Industrial Engineering IAO Nobelstraβe 12 70569 Stuttgart Germany

In this paper, the authors elaborate a combination of graph-based design and simulation-based engineering into a new concept called Executable Integrative Product-Production Model (EIPPM). Today, the first collaborative process in engineering for all mechatronic disciplines is the virtual commissioning phase. Therefore, Digital Twins (DT) are modeled and run in a simulation. The authors see a hitherto untapped potential for the earlier, integrated and iterative use of DTs in a simulation-based engineering for the development of production systems. Seamless generation of and exchange between Model-, Software- and Hardware-in-the-Loop simulations is necessary. Feedback from simulation results will go into the design decisions after each iteration. The presented approach combines knowledge of the domain "production systems technology" together with the knowledge of the corresponding "product" using a so called Graph-based Design Language (GBDL). Its central data model, which represents the entire life cycle, results of an automatic translation step in a compiler. Since the execution of the GBDL can be repeated as often as desired with modified boundary conditions (e.g. through feedback), a design of experiment is made possible, whereby also unconventional solutions are considered. The novel concept aims at the following advantages: Consistent linking of all mechatronic domains through a data model (graph) from the project start, automatic design cycles exploring multiple variants for optimized product-production system combinations, automatic generation of simulation models starting with the planning phase, feedback from simulation-based optimization back into the data model.

关键词： Simulation-based engineering Graph-based Design Languages Virtual Commissioning Digital Twins Product-Production Model

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An implementation and evaluation of large-scale multi-user human–robot collaboration with head-mounted augmented reality

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Advanced engineering Informatics 2025年 67卷

作者： Xiliu Yang Felix Amtsberg Benjamin Kaiser Lior Skoury Tim Stark Simon Treml Nils Opgenorth Aimée Sousa Calepso Michael Sedlmair Thomas Wortmann Alexander Verl Achim Menges Institute for Computational Design and Construction (ICD) University of Stuttgart Germany Cluster of Excellence Integrative Computational Design and Construction for Architecture (IntCDC) University of Stuttgart Germany Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW) University of Stuttgart Germany Institute for Computational Design and Construction Chair of Computing in Architecture (ICD-CA) University of Stuttgart Germany Visualization Research Center (VISUS) University of Stuttgart Germany

Human–robot collaboration (HRC) offers promising potential for more flexible and sustainable production practices in architecture and construction. This requires HRC setups to scale up from light-payload collaborative robots to conform with the scale of building construction while considering the safety and teamwork culture for workers. This research proposes a system for large-scale multi-user HRC using head-mounted augmented reality (AR) devices. To achieve this, we contribute three methods that work in conjunction: (1) an AR system that enables multiple users to share tasks and work together with robots; (2) a dynamic human task allocation engine that reacts to the changing production teams and task types; and (3) a safety zone generation and allocation method to configure human collaboration in shared space with large-scale robots. The system is evaluated using a case study of prefabricated timber cassettes combining discrete event simulations, a user study and a fabrication process demonstrator with an industry partner.

关键词： Human–robot collaboration Augmented reality Robotic fabrication Timber prefabrication Co-design

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Web-based Platform for Data Analysis and Monitoring

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Procedia CIRP 2019年 86卷 31-36页

作者： Colin Reiff Stefan Oechsle Florian Eger Alexander Verl Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW) University of Stuttgart Seidenstrasse 36 70174 Stuttgart Germany

With the increasing number of sensors installed in production systems and the associated amount of recorded data, a high potential for optimizing manufacturing processes is offered. Based on the gathered information, data analyzing methods can be used to identify correlations and thus, optimize complex multi-stage production systems with the goal of zero-defect manufacturing. For this purpose, multiple statistical methods have to be applied, which is often a time-consuming task and currently requires trained and experienced specialists. Furthermore, the investigated data must be kept up to date for the early recognition of changes possibly leading to cost-intensive scrap and production downtimes. To address these issues, a web-based platform with an intuitive user interface was developed. The platform can access and process various data sources using modular methods. In addition, as part of continuous monitoring, the results of these analyzing steps can be dynamically calculated. The aim of the platform is to make complex analysis processes accessible to machine operators and thus to combine domain expertise and statistical knowledge. The paper describes the underlying architecture and the relevant interfaces of the platform.

关键词： Data Analysis Monitoring Process Optimization

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Beyond Model-Based systems engineering towards Managing Complexity

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Procedia CIRP 2020年 91卷 325-329页

作者： Jonathan Masior Benjamin Schneider Mehmet Kürümlüoglu Oliver Riedel Fraunhofer Institute for Industrial Engineering IAO Nobelstrasse 12 Stuttgart 70569 Germany University of Stuttgart Institute for Human Factors and Technology Management IAT Nobelstrasse 12 Stuttgart 70569 Germany University of Stuttgart Institute for Control Engineering of Machine Tools and Manufacturing Units ISW Seidenstrasse 36 Stuttgart 70174 Germany

systems engineering domain lacks in methodologies for integration of development artefacts (e.g. requirements, functions, geometrics, or behavior) and enterprise models (e.g. organizational structures, processes, or IT infrastructure). Especially the rising complexity driven by integrated product service systems, smart services, systems of systems and cyber physical systems (CPS) leads to a new paradigm further on called Advanced systems engineering (ASE). It empowers enterprises to cope with such complex developments. The employment of ASE technologies in design and manufacturing enterprises requires a reachability of technical information and continuity along vertical and horizontal dimensions. A widely used approach to implement this is Model-based System engineering (MBSE). This paper introduces a solution to achieve the goals of manufacturing excellence as well as complexity management by identifying and analyzing relevant requirements and possible approaches for an innovative simulation enabling and executable modelling language, the so-called advanced MBSE+.

关键词： MBSE Model Based systems engineering PLM Product Lifecycle Management IT Infrastructure Cyber Physical systems Advanced systems engineering

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Preface

Lecture Notes in Production Engineering

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Lecture Notes in Production engineering 2022年 Part F1160卷 v页

作者： Behrens, Bernd-Arno Brosius, Alexander Drossel, Welf-Guntram Hintze, Wolfgang Ihlenfeldt, Steffen Nyhuis, Peter Institute of Forming Technology and Machines Garbsen Germany Institute of Manufacturing Science and Engineering Dresden Germany Institute for Machine Tools and Forming Technology Chemnitz Germany Institute of Production Management and Technology Hamburg Germany Institute of Mechatronic Engineering Dresden Germany Institute of Production Systems and Logistics Garbsen Germany

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Reinforcement Learning of a Robot Cell control Logic using a Software-in-the-Loop Simulation as Environment

Reinforcement Learning of a Robot Cell Control Logic using a...

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Artificial Intelligence for Industries (AI4I)

作者： Florian Jaensch Akos Csiszar Janik Sarbandi Alexander Verl Institute of Control Engineering of Machine Tools and Manufacturing Units University of Stuttgart Stuttgart Germany

ISBN: (数字)9781728140872

ISBN: (纸本)9781728140889

This paper introduces a method for automatic robot programming of industrial robots using reinforcement learning on a Software-in-the-loop simulation. The focus of the the paper is on the higher levels of a hierarchical robot programming problem. While the lower levels the skills are stored as domain specific program code, the combination of the skills into a robot control program to solve a specific task is automated. The reinforcement learning learning approach allows the shopfloor workers and technicians just to define the end result of the manufacturing process through a reward function. The programming and process optimization is done within the learning procedure. The Software-in-the-loop simulation with the robot control software makes it possible to to interpret the real program code and generate the exact motion. The exact motion of the robot is needed in order to find not just an optimal but also a collision-free policy.

关键词： Optimization Learning (artificial intelligence) Service robots Robot control Software

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Reinforcement Learning Approach to Vibration Compensation for Dynamic Feed Drive systems

Reinforcement Learning Approach to Vibration Compensation fo...

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Artificial Intelligence for Industries (AI4I)

作者： Ralf Gulde Marc Tuscher Akos Csiszar Oliver Riedel Alexander Verl Institute of Control Engineering of Machine Tools and Manufacturing Units University of Stuttgart Stuttgart Germany

ISBN: (数字)9781728140872

ISBN: (纸本)9781728140889

Vibration compensation is important for many domains. For the machine tool industry it translates to higher machining precision and longer component lifetime. Current methods for vibration damping have their shortcomings (e.g. need for accurate dynamic models). In this paper we present a reinforcement learning based approach to vibration compensation applied to a machine tool axis. The work describes the problem formulation, the solution, the implementation and experiments using industrial machine tool hardware and control system.

关键词： Vibrations machine tools Learning (artificial intelligence) Hardware Optimization Feeds Entropy

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Model-based identification of production tolerances in battery production

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Procedia CIRP 2021年 104卷 1059-1064页

作者： Matthias Thomitzek Oke Schmidt Tim Abraham Felipe Cerdas Fridolin Röder Ulrike Krewer Christoph Herrmann Institute of Machine Tools and Production Technologies Chair of Sustainable Manufacturing and Life Cycle Engineering Technische Universität Braunschweig Langer Kamp 19b 38106 Braunschweig Germany Battery LabFactory Braunschweig (BLB) Technische Universität Braunschweig Langer Kamp 19 38106 Braunschweig Germany Institute of Energy and Process Systems Engineering Technische Universität Braunschweig Franz-Liszt-Straße 35 38106 Braunschweig Germany Chair of Electrical Energy Systems Universität Bayreuth Universitätsstraße 30 95447 Bayreuth Germany Institute for Applied Materials—Materials for Electrical and Electronic Engineering (IAM) Karlsruhe Institute of Technology Adenauerring 20b 76131 Karlsruhe Germany

Battery technology in combination with carbon-free energy presents a major paradigm shift for the future of the mobility and energy storage sector and already creates an immense demand for large scale battery factories. However, current battery production sites still report considerable scrap rates caused by insufficient process control and a lack of adequate production tolerances, which increase the cost and environmental impact of the battery cells. The present work introduces a methodology which assist in defining model-based production tolerances by considering the impact of varying process parameters on final cell properties in combination with production cost and cell revenue.

关键词： Modeling Quality assurance Tolerance design Battery production

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