{"2d0357d1fe2062fa567fa5908c09f762isw-bibliothek":{"DOI":"10.1109/ICECCME62383.2024.10797016","ISBN":"","ISSN":"","URL":"","abstract":"While the importance of virtual commissioning is increasing and not only individual machines but also production lines are being simulated, the simulation of material flow for numerous piece goods is still a challenge. Combining models in a multi-scale simulation can exploit their advantages. The macroscopic flow model excels at modeling the behavior of large quantities of piece goods, however, it cannot provide information about individual piece goods. This led to the approach of the combination with a microscopic physics-based model in a multi-scale material flow simulation. To switch between models, the coordinates of the positions (microscopic) have to be translated in one direction into the material description of the macroscopic flow model (the density distribution). In the other direction, the density distribution has to be translated into the coordinates of the positions, leading to a computationally intensive optimization problem. This paper develops various methods for finding a start solution and compares them to a method of the state of the art. The evaluation is based on their accuracy with reference to various parameters of the data set. The results show the best accuracies for the method which traverses the density distribution and calculates the sum of the densities until it matches a single piece good. Depending on the accuracy required, it may be possible to use the start solution directly without further optimization.","annote":"","author":[{"family":"Kienzlen","given":"Annika"},{"family":"Verl","given":"Alexander"}],"citation-label":"10797016","collection-editor":[],"collection-title":"","container-author":[],"container-title":"2024 4th International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2024","11"]],"literal":"2024"},"event-place":"","id":"2d0357d1fe2062fa567fa5908c09f762isw-bibliothek","interhash":"47c7b36d9f80d26b7a18476db2fe7339","intrahash":"2d0357d1fe2062fa567fa5908c09f762","issue":"","issued":{"date-parts":[["2024","11"]],"literal":"2024"},"keyword":"simulation vibn isw","misc":{"doi":"10.1109/ICECCME62383.2024.10797016"},"note":"","number":"","page":"","page-first":"","publisher":"","publisher-place":"","status":"","title":"Methods for Localization in Multi-Scale Material Flow Simulation for Virtual Commissioning","type":"paper-conference","username":"isw-bibliothek","version":"","volume":""},"ed5ac9680f01a806010b1c8133411ac2isw-bibliothek":{"DOI":"10.1007/978-3-662-66217-5_13","ISBN":"978-3-662-66217-5","ISSN":"","URL":"https://doi.org/10.1007/978-3-662-66217-5_13","abstract":"Die steigenden Anforderungen der Produktionstechnik nach flexiblen und trotzdem wirtschaftlich effizienten Anlagen stellt die Automatisierungstechnik vor große Herausforderungen. Die Umstellung von beispielsweise einer Roboterzelle auf ein neues Produkt muss dabei schnell und aufwandsarm möglich sein. Die Steuerungssysteme, sowie die zugehörigen Engineering Methoden, müssen zunehmend intelligent und lernfähig werden, um möglichst viele der bisher manuellen Aufwände selbstständig zu übernehmen. Die Simulationsumgebung für eine Virtuelle Inbetriebnahme stellt eine geeignete Lernumgebung dar, in der das Steuerungssystem, mit Methoden des maschinellen Lernens, automatisch trainiert werden kann. Dafür müssen die Simulationswerkzeuge erweitert und möglichst standardisierte Schnittstellen geschaffen werden.","annote":"","author":[{"family":"Jaensch","given":"Florian"},{"family":"Verl","given":"Alexander"}],"citation-label":"Jaensch2024","collection-editor":[{"family":"Verl","given":"Alexander"},{"family":"Röck","given":"Sascha"},{"family":"Scheifele","given":"Christian"}],"collection-title":"","container-author":[{"family":"Verl","given":"Alexander"},{"family":"Röck","given":"Sascha"},{"family":"Scheifele","given":"Christian"}],"container-title":"Echtzeitsimulation in der Produktionsautomatisierung: Beiträge zu Virtueller Inbetriebnahme, Digitalem Engineering und Digitalen Zwillingen","documents":[],"edition":"","editor":[{"family":"Verl","given":"Alexander"},{"family":"Röck","given":"Sascha"},{"family":"Scheifele","given":"Christian"}],"event-date":{"date-parts":[["2024"]],"literal":"2024"},"event-place":"Berlin, Heidelberg","id":"ed5ac9680f01a806010b1c8133411ac2isw-bibliothek","interhash":"590d7afb375cb3a264d43efe9daf1405","intrahash":"ed5ac9680f01a806010b1c8133411ac2","issue":"","issued":{"date-parts":[["2024"]],"literal":"2024"},"keyword":"myown simulation learning isw","misc":{"isbn":"978-3-662-66217-5","doi":"10.1007/978-3-662-66217-5_13"},"note":"","number":"","number-of-pages":"14","page":"213--227","page-first":"213","publisher":"Springer Berlin Heidelberg","publisher-place":"Berlin, Heidelberg","status":"","title":"Simulationsmodelle der Virtuellen Inbetriebnahme als Lernumgebung für Reinforcement Learning","type":"chapter","username":"isw-bibliothek","version":"","volume":""},"e594c75d50adb107eea1013756677225isw-bibliothek":{"DOI":"10.1007/978-3-662-66217-5_8","ISBN":"978-3-662-66216-8","ISSN":"","URL":"","abstract":"","annote":"","author":[{"family":"Kübler","given":"Karl"},{"family":"Jaensch","given":"Florian"},{"family":"Daniel","given":"Christian"},{"family":"Verl","given":"Alexander"}],"citation-label":"Kubler.2024","collection-editor":[{"family":"Verl","given":"Alexander"},{"family":"Röck","given":"Sascha"},{"family":"Scheifele","given":"Christian"}],"collection-title":"","container-author":[{"family":"Verl","given":"Alexander"},{"family":"Röck","given":"Sascha"},{"family":"Scheifele","given":"Christian"}],"container-title":"Echtzeitsimulation in der Produktionsautomatisierung","documents":[],"edition":"","editor":[{"family":"Verl","given":"Alexander"},{"family":"Röck","given":"Sascha"},{"family":"Scheifele","given":"Christian"}],"event-date":{"date-parts":[["2024"]],"literal":"2024"},"event-place":"Berlin, Heidelberg","id":"e594c75d50adb107eea1013756677225isw-bibliothek","interhash":"eca054d9f3ecee4e2de28e20c06a1a01","intrahash":"e594c75d50adb107eea1013756677225","issue":"","issued":{"date-parts":[["2024"]],"literal":"2024"},"keyword":"myown simulation vibn isw","misc":{"isbn":"978-3-662-66216-8","doi":"10.1007/978-3-662-66217-5_8"},"note":"","number":"","number-of-pages":"13","page":"141--154","page-first":"141","publisher":"Springer Berlin Heidelberg","publisher-place":"Berlin, Heidelberg","status":"","title":"Nutzen von Digitalen Zwillingen und Virtueller Inbetriebnahme für den Maschinen- und Anlagenbau","type":"chapter","username":"isw-bibliothek","version":"","volume":""},"4de537c6fb8f24ce5c86fc97e23c09bdisw-bibliothek":{"DOI":"10.1109/ETFA54631.2023.10275580","ISBN":"","ISSN":"1946-0759","URL":"","abstract":"The increasing digitization of the manufacturing industry offers a wide range of opportunities for the effective use of production data, which can lead to significant time and cost savings. One promising approach is the use of synchronous simulations during the actual operation of cyber-physical production systems (CPPS) to provide valuable insights into possible performance improvements and at the same time reduce the risk of costly downtime. This paper presents a novel concept that enables structured storage of CPPS production data as part of a digital twin that serves as a virtual replica of the physical production environment. In particular, this approach is based on the Asset Administration Shell (AAS), which provides a comprehensive framework for the management of production data and allows for a seamless integration with simulation models. Storing production data in a structured and standardized format can make data queries efficient, facilitate data processing, and provide a solid foundation for simulation model development, calibration, and validation. These simulation models can then be used to identify potential process improvements and test different scenarios, minimizing the risk of disruption to actual production.","annote":"","author":[{"family":"Fur","given":"Shan"},{"family":"Ajdinovic","given":"Samed"},{"family":"Lechler","given":"Armin"},{"family":"Verl","given":"Alexander"}],"citation-label":"10275580","collection-editor":[],"collection-title":"","container-author":[],"container-title":"2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA)","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2023","09"]],"literal":"2023"},"event-place":"","id":"4de537c6fb8f24ce5c86fc97e23c09bdisw-bibliothek","interhash":"af69bee7614f8b0d9be6980668dfe2f6","intrahash":"4de537c6fb8f24ce5c86fc97e23c09bd","issue":"","issued":{"date-parts":[["2023","09"]],"literal":"2023"},"keyword":"myown cps simulation digitaltwins virtualcommissioning isw","misc":{"issn":"1946-0759","doi":"10.1109/ETFA54631.2023.10275580"},"note":"","number":"","number-of-pages":"3","page":"1-4","page-first":"1","publisher":"","publisher-place":"","status":"","title":"Towards an Implementation of Simulation Based Digital Twins in Cyber-Physical Production Systems Environments","type":"paper-conference","username":"isw-bibliothek","version":"","volume":""},"36fdb13c458ecf67f12590ff69616e3fintcdc":{"DOI":"10.3390/biomimetics6030043","ISBN":"","ISSN":"","URL":"https://doi.org/10.3390%2Fbiomimetics6030043","abstract":"","annote":"","author":[{"family":"Mühlich","given":"Mona"},{"family":"Gonzales","given":"Edith A."},{"family":"Born","given":"Larissa"},{"family":"Körner","given":"Axel"},{"family":"Schwill","given":"Lena"},{"family":"Gresser","given":"Götz T."},{"family":"Knippers","given":"Jan"}],"citation-label":"M_hlich_2021","collection-editor":[],"collection-title":"","container-author":[],"container-title":"Biomimetics","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2021","06"]],"literal":"2021"},"event-place":"","id":"36fdb13c458ecf67f12590ff69616e3fintcdc","interhash":"2de903905c9e274c837ce27f38d4fba2","intrahash":"36fdb13c458ecf67f12590ff69616e3f","issue":"3","issued":{"date-parts":[["2021","06"]],"literal":"2021"},"keyword":"pneumatics from:itft-puma AP5 born folding finite-element-modeling IntCDC simulation gresser itft elastomer 2021 AP23 peer fiber-reinforced-plastic actuation","misc":{"language":"english","doi":"10.3390/biomimetics6030043"},"note":"","number":"3","page":"43","page-first":"43","publisher":"MDPI AG","publisher-place":"","status":"","title":"Deformation Behavior of Elastomer-Glass Fiber-Reinforced Plastics in Dependence of Pneumatic Actuation","type":"article-journal","username":"intcdc","version":"","volume":"6"},"cb79e784e63b05a8b49e5e25e36a31f2isw-bibliothek":{"DOI":"10.1016/j.procir.2022.05.105","ISBN":"","ISSN":"","URL":"https://doi.org/10.1016%2Fj.procir.2022.05.105","abstract":"","annote":"","author":[{"family":"Schmucker","given":"Benedikt"},{"family":"Trautwein","given":"Felix"},{"family":"Hartl","given":"Roman"},{"family":"Lechler","given":"Armin"},{"family":"Zaeh","given":"Michael F."},{"family":"Verl","given":"Alexander"}],"citation-label":"Schmucker_2022","collection-editor":[],"collection-title":"","container-author":[],"container-title":"Procedia CIRP","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2022"]],"literal":"2022"},"event-place":"","id":"cb79e784e63b05a8b49e5e25e36a31f2isw-bibliothek","interhash":"1483000c9217e543ce60eab819fae911","intrahash":"cb79e784e63b05a8b49e5e25e36a31f2","issue":"","issued":{"date-parts":[["2022"]],"literal":"2022"},"keyword":"simulation control isw","misc":{"doi":"10.1016/j.procir.2022.05.105"},"note":"","number":"","number-of-pages":"5","page":"1041--1046","page-first":"1041","publisher":"Elsevier BV","publisher-place":"","status":"","title":"Online Parameterization of a Milling Force Model using an Intelligent System Architecture and Bayesian Optimization","type":"article-journal","username":"isw-bibliothek","version":"","volume":"107"},"7aa0c8c46573cc3be5e44e31984a48e7isw-bibliothek":{"DOI":"https://doi.org/10.1016/j.procir.2022.09.043","ISBN":"","ISSN":"2212-8271","URL":"https://www.sciencedirect.com/science/article/pii/S2212827122011970","abstract":"Reinforcement Learning algorithms find more and more application in fields where complex tasks need to be solved. The automation of production systems is one of those fields. Normally, programming a control system defines the automation strategy. Previous contributions by the authors have shown that a so-called agent can learn automation strategies for production systems using a Reinforcement Learning setup. However, the development of the reward function for the agent can be challenging and needs Reinforcement Learning domain knowledge. This paper introduces a novel approach in combining Test-Driven Development with Reinforcement Learning in order to solve the problem of a suitable reward function. In the presented approach predefined test cases are used to derive rewards for the agent. The use of an automated test framework allows for continuous learning sequences until all test cases are passed. An application example of a robot cell is used to demonstrate the novel approach and verify its suitability and usability. The first application shows promising results for further examination towards more application scenarios.","annote":"","author":[{"family":"Jaensch","given":"Florian"},{"family":"Kübler","given":"Karl"},{"family":"Schwarz","given":"Elmar"},{"family":"Verl","given":"Alexander"}],"citation-label":"JAENSCH2022103","collection-editor":[],"collection-title":"","container-author":[],"container-title":"Procedia CIRP","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2022"]],"literal":"2022"},"event-place":"","id":"7aa0c8c46573cc3be5e44e31984a48e7isw-bibliothek","interhash":"b5e16cec36ba2b4c5678c102b72ec7c8","intrahash":"7aa0c8c46573cc3be5e44e31984a48e7","issue":"","issued":{"date-parts":[["2022"]],"literal":"2022"},"keyword":"myown Simulation VirtualCommissioning isw ReinforcementLearning","misc":{"issn":"2212-8271","doi":"https://doi.org/10.1016/j.procir.2022.09.043"},"note":"15th CIRP Conference on Intelligent Computation in ManufacturingEngineering, 14-16 July 2021","number":"","number-of-pages":"5","page":"103-108","page-first":"103","publisher":"","publisher-place":"","status":"","title":"Test-Driven Reward Function for Reinforcement Learning: A Contribution towards Applicable Machine Learning Algorithms for Production Systems","type":"article-journal","username":"isw-bibliothek","version":"","volume":"112"},"c39ce39a52e44706dc1dc99bbf18efb0isw-bibliothek":{"DOI":"https://doi.org/10.1016/j.procir.2022.09.046","ISBN":"","ISSN":"22128271","URL":"https://www.sciencedirect.com/science/article/pii/S2212827122012008","abstract":"Model-, Software-, and Hardware-in-the-Loop simulations are used in the Virtual Commissioning of machines and plants to reduce costly control errors early in the engineering process. Each simulation type represents a different grade of detail. As a result, the underlying models change on every transition between the three types. Regarding the model structure there is no solution to enable a continuous and effortless transition. This work proposes a model extension concept which allows cycling all X-in-the-Loop configurations during Virtual Commissioning. The extension includes abundant submodules describing every component transformation required to switch to a specific simulation configuration.","annote":"","author":[{"family":"Tinsel","given":"Erik-Felix"},{"family":"Verl","given":"Prof. Dr.-Ing Alexander"}],"citation-label":"tinsel2022simulation","collection-editor":[],"collection-title":"","container-author":[],"container-title":"Procedia CIRP","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2022"]],"literal":"2022"},"event-place":"","id":"c39ce39a52e44706dc1dc99bbf18efb0isw-bibliothek","interhash":"747e8c80b18ed3ca58fd5aa233d0755f","intrahash":"c39ce39a52e44706dc1dc99bbf18efb0","issue":"","issued":{"date-parts":[["2022"]],"literal":"2022"},"keyword":"myown Simulation model X-in-the-Loop isw","misc":{"issn":"22128271","doi":"https://doi.org/10.1016/j.procir.2022.09.046"},"note":"","number":"","number-of-pages":"5","page":"97--102","page-first":"97","publisher":"","publisher-place":"","status":"","title":"A simulation model extension to enable continuous control tests during the Virtual Commissioning","type":"article-journal","username":"isw-bibliothek","version":"","volume":"112"},"a03a6622849de0365a970884422b75d6isw-bibliothek":{"DOI":"","ISBN":"","ISSN":"","URL":"","abstract":"","annote":"","author":[{"family":"Zürn","given":"Manuel"},{"family":"Wnuk","given":"Markus"},{"family":"Schneider","given":"Anja"},{"family":"Lechler","given":"Armin"},{"family":"Verl","given":"Alexander"}],"citation-label":"zurn2022localization","collection-editor":[],"collection-title":"","container-author":[],"container-title":"Proceedings of the 54th International Symposium on Robotics (ISR)","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2022"]],"literal":"2022"},"event-place":"","id":"a03a6622849de0365a970884422b75d6isw-bibliothek","interhash":"a17d194e82d3af518dc8ffa92e7fa61c","intrahash":"a03a6622849de0365a970884422b75d6","issue":"","issued":{"date-parts":[["2022"]],"literal":"2022"},"keyword":"myown SimTech simulation grk2198 DataCon control isw Soft-Tissue-Robotics","note":"","number":"","number-of-pages":"8","page":"17-25","page-first":"17","publisher":"","publisher-place":"","status":"","title":"Localization and Tracking of Deformable Linear Objects with Self Organizing Maps","type":"paper-conference","username":"isw-bibliothek","version":"","volume":""},"8b1a736693132deee0f61b742add5e7fisw-bibliothek":{"DOI":"10.37544/1436-4980-2022-04-58","ISBN":"","ISSN":"","URL":"https://doi.org/10.37544%2F1436-4980-2022-04-58","abstract":"Simulationsmodelle der virtuellen Inbetriebnahme eignen sich als Grundlage für digitale Zwillinge von Produktionsanlagen, da sie das Verhalten dieser Anlagen abbilden und häufig bereits aus der Entwicklungsphase zur Verfügung stehen. Der\r\nStand der Technik zeigt allerdings, dass zwischen dem Verhalten der Modelle und dem der realen Systeme noch erhebliche Diskrepanzen bestehen. In diesem Beitrag wird eine Methodik zur Kompensation von Diskrepanzen exemplarisch an einer\r\nFräsanlage untersucht.","annote":"","author":[{"family":"Fur","given":"Shan"},{"family":"Mages","given":"Alexander"},{"family":"Wortmann","given":"Andreas"},{"family":"Riedel","given":"Oliver"}],"citation-label":"Fur_2022","collection-editor":[],"collection-title":"","container-author":[],"container-title":"wt Werkstattstechnik online","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2022"]],"literal":"2022"},"event-place":"","id":"8b1a736693132deee0f61b742add5e7fisw-bibliothek","interhash":"d41bb3fc8e8f9b0df5840ae2bafa4abb","intrahash":"8b1a736693132deee0f61b742add5e7f","issue":"04","issued":{"date-parts":[["2022"]],"literal":"2022"},"keyword":"simulation digitaltwins virtualcommissioning isw","misc":{"doi":"10.37544/1436-4980-2022-04-58"},"note":"","number":"04","number-of-pages":"5","page":"258--263","page-first":"258","publisher":"VDI Fachmedien GmbH and Co. KG","publisher-place":"","status":"","title":"Auf dem Weg zum digitalen Zwilling/Investigation and compensation of the discrepancy between simulation models and their twins – On the way to the digital twin","type":"article-journal","username":"isw-bibliothek","version":"","volume":"112"},"4f2a46276d0caae68812ac94adbe2173isw-bibliothek":{"DOI":"10.37544/1436-4980-2022-04-21","ISBN":"","ISSN":"1436-4980","URL":"","abstract":"","annote":"","author":[{"family":"Strljic","given":"Daniella"},{"family":"Kienzlen","given":"Annika"},{"family":"Riedel","given":"Oliver"}],"citation-label":"Strljic.2022","collection-editor":[],"collection-title":"","container-author":[],"container-title":"wt Werkstattstechnik online","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2022"]],"literal":"2022"},"event-place":"","id":"4f2a46276d0caae68812ac94adbe2173isw-bibliothek","interhash":"198e3452d12229f1ab567dc8d662a19d","intrahash":"4f2a46276d0caae68812ac94adbe2173","issue":"04","issued":{"date-parts":[["2022"]],"literal":"2022"},"keyword":"simulation isw","misc":{"issn":"1436-4980","doi":"10.37544/1436-4980-2022-04-21"},"note":"","number":"04","number-of-pages":"5","page":"221--226","page-first":"221","publisher":"","publisher-place":"","status":"","title":"Formale Sprachen für Fabriksimulation/Comparative Analysis of Description Models and Languages for Factory Simulation -- Formal Languages for Factory Simulation","type":"article-journal","username":"isw-bibliothek","version":"","volume":"112"},"41ab4eaea79e03cbcf8894da460bc24aisw-bibliothek":{"DOI":"10.1109/AI4I49448.2020.00013","ISBN":"","ISSN":"","URL":"","abstract":"The paper introduces an approach to generate control strategies for cable handling tasks automatically, using Reinforcement Learning. Cable handling tasks require human like sensomotoric and cognitive abilities. Humans develop an understanding of the cable behaviour and are able to derive control strategies, how to handle the cable. Transferring these strategies to an industrial robot control system with the usual programming interface is very difficult. The introduced approach addresses this problem by giving the robot control the possibility to learn the cable handling strategies by itself. Therefore an Virtual Commissioning simulation environment was adapted to model Reinforcement Learning problems using the OpenAI Gym and Functional Mock-Up Interface standard.","annote":"","author":[{"family":"Jaensch","given":"Florian"},{"family":"Verl","given":"Alexander"}],"citation-label":"9253103","collection-editor":[],"collection-title":"","container-author":[],"container-title":"2020 Third International Conference on Artificial Intelligence for Industries (AI4I)","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2020","09"]],"literal":"2020"},"event-place":"","id":"41ab4eaea79e03cbcf8894da460bc24aisw-bibliothek","interhash":"f043f8169c9681adb6cfb63449f15263","intrahash":"41ab4eaea79e03cbcf8894da460bc24a","issue":"","issued":{"date-parts":[["2020","09"]],"literal":"2020"},"keyword":"myown simulation isw","misc":{"doi":"10.1109/AI4I49448.2020.00013"},"note":"","number":"","number-of-pages":"4","page":"27-31","page-first":"27","publisher":"","publisher-place":"","status":"","title":"Virtual Commissioning Simulation as Reinforcement Learning Environment for Robot Cable Handling","type":"paper-conference","username":"isw-bibliothek","version":"","volume":""},"b455c0fe4a9a3ec9012bb8fe482cfd7cisw-bibliothek":{"DOI":"10.1109/ETFA45728.2021.9613256","ISBN":"","ISSN":"","URL":"","abstract":"For the commissioning of production plants, the virtual commissioning (VCOM) method has proven to accelerate the overall commissioning time by increasing the software quality of the plant controller. VCOM is carried out in advance of the commissioning of the real plant, using a simulated plant. However, the hard transition from the simulated to the real plant proves to be problematic if components of the real plant are not available. In these cases the hybrid commissioning (HCOM) method, a hardware-in-the-loop (HIL) simulation setup including both real and simulated components, is desirable. In this article, the disadvantages of a hard transition of VCOM, the concept of the HCOM and it's benefits for commissioning production plants are explained and discussed. Also, an evaluation of an implementation is briefly presented.","annote":"","author":[{"family":"Fur","given":"Shan"},{"family":"Riedel","given":"Oliver"},{"family":"Verl","given":"Alexander"}],"citation-label":"9613256","collection-editor":[],"collection-title":"","container-author":[],"container-title":"2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2021","09"]],"literal":"2021"},"event-place":"","id":"b455c0fe4a9a3ec9012bb8fe482cfd7cisw-bibliothek","interhash":"ac96a8f1660dce340313cef10cf6675a","intrahash":"b455c0fe4a9a3ec9012bb8fe482cfd7c","issue":"","issued":{"date-parts":[["2021","09"]],"literal":"2021"},"keyword":"myown simulation isw","misc":{"doi":"10.1109/ETFA45728.2021.9613256"},"note":"","number":"","number-of-pages":"5","page":"1-6","page-first":"1","publisher":"","publisher-place":"","status":"","title":"Hybrid Commissioning of Production Plants","type":"paper-conference","username":"isw-bibliothek","version":"","volume":""},"bd6e711540cd0e518c1b36eb0f824023isw-bibliothek":{"DOI":"10.37544/1436-4980-2021-05-29","ISBN":"","ISSN":"","URL":"","abstract":"","annote":"","author":[{"family":"Tinsel","given":"Erik-Felix"},{"family":"Riedel","given":"Oliver"},{"family":"Verl","given":"Alexander"}],"citation-label":"tinsel2021smartes","collection-editor":[],"collection-title":"","container-author":[],"container-title":"wt Werkstattstechnik online","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2021","01"]],"literal":"2021"},"event-place":"","id":"bd6e711540cd0e518c1b36eb0f824023isw-bibliothek","interhash":"630a97b270b1ed58968baa0eb6ec3778","intrahash":"bd6e711540cd0e518c1b36eb0f824023","issue":"","issued":{"date-parts":[["2021","01"]],"literal":"2021"},"keyword":"myown simulation isw","misc":{"doi":"10.37544/1436-4980-2021-05-29"},"note":"","number":"","number-of-pages":"4","page":"295-299","page-first":"295","publisher":"","publisher-place":"","status":"","title":"Smartes Assistenzsystem zur Anforderungserhebung","type":"article-journal","username":"isw-bibliothek","version":"","volume":"111"},"a79a59bc1af822fee498f88ea23e56edisw-bibliothek":{"DOI":"","ISBN":"9783736974791","ISSN":"","URL":"","abstract":"","annote":"","author":[{"family":"Kienzlen","given":"Annika"},{"family":"Verl","given":"Alexander"}],"citation-label":"ASIM2021.182","collection-editor":[{"family":"Franke","given":"Jörg"},{"family":"Schuderer","given":"Peter"}],"collection-title":"","container-author":[{"family":"Franke","given":"Jörg"},{"family":"Schuderer","given":"Peter"}],"container-title":"Simulation in Produktion und Logistik 2021","documents":[],"edition":"","editor":[{"family":"Franke","given":"Jörg"},{"family":"Schuderer","given":"Peter"}],"event-date":{"date-parts":[["2021","09"]],"literal":"2021"},"event-place":"Göttingen","id":"a79a59bc1af822fee498f88ea23e56edisw-bibliothek","interhash":"71c715c25917647aab0aa9c86567bca8","intrahash":"a79a59bc1af822fee498f88ea23e56ed","issue":"","issued":{"date-parts":[["2021","09"]],"literal":"2021"},"keyword":"simulation virtualcommissioning isw","misc":{"isbn":"9783736974791","eventtitle":"19. ASIM Fachtagung - Simulation in Produktion und Logistik"},"note":"","number":"","number-of-pages":"9","page":"585--594","page-first":"585","publisher":"Cuvillier Verlag","publisher-place":"Göttingen","status":"","title":"Konzept zur Integration eines kontinuierlichen Materialflussmodells in die Virtuelle Inbetriebnahme durch Signalgenerierung","type":"paper-conference","username":"isw-bibliothek","version":"","volume":""},"36fdb13c458ecf67f12590ff69616e3fitft-puma":{"DOI":"10.3390/biomimetics6030043","ISBN":"","ISSN":"","URL":"https://doi.org/10.3390%2Fbiomimetics6030043","abstract":"","annote":"","author":[{"family":"Mühlich","given":"Mona"},{"family":"Gonzales","given":"Edith A."},{"family":"Born","given":"Larissa"},{"family":"Körner","given":"Axel"},{"family":"Schwill","given":"Lena"},{"family":"Gresser","given":"Götz T."},{"family":"Knippers","given":"Jan"}],"citation-label":"M_hlich_2021","collection-editor":[],"collection-title":"","container-author":[],"container-title":"Biomimetics","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2021","06"]],"literal":"2021"},"event-place":"","id":"36fdb13c458ecf67f12590ff69616e3fitft-puma","interhash":"2de903905c9e274c837ce27f38d4fba2","intrahash":"36fdb13c458ecf67f12590ff69616e3f","issue":"3","issued":{"date-parts":[["2021","06"]],"literal":"2021"},"keyword":"pneumatics AP5 born folding finite-element-modeling IntCDC simulation gresser itft elastomer 2021 AP23 peer fiber-reinforced-plastic actuation","misc":{"language":"english","doi":"10.3390/biomimetics6030043"},"note":"","number":"3","page":"43","page-first":"43","publisher":"MDPI AG","publisher-place":"","status":"","title":"Deformation Behavior of Elastomer-Glass Fiber-Reinforced Plastics in Dependence of Pneumatic Actuation","type":"article-journal","username":"itft-puma","version":"","volume":"6"},"572e469e6f8d84212e85fd4eb698a6adisw-bibliothek":{"DOI":"https://doi.org/10.1016/j.procir.2021.01.097","ISBN":"","ISSN":"2212-8271","URL":"https://www.sciencedirect.com/science/article/pii/S2212827121001268","abstract":"State of the art machine tool controllers offer several Internet-of-Things (IoT) interfaces for machine data acquisition using industrial or edge computers. However, the available data exchange rates for these communication platforms are limited to a few hundred Hertz. As the data is not available in high frequency resolution, such a network communication is not suitable for monitoring and optimizing highly dynamic machining processes. This paper describes an efficient system architecture, which enables the acquisition of internal machine data as well as the high frequency sampling of external sensors. Based on this data, an Operational Modal Analysis (OMA) approach can be used to determine the tool tip dynamics during the machining process. Identification of tool tip frequency response requires the reconstruction of the excitation of the machine tool structure, i.e. the occurring machining forces. For this purpose, an approach relying on monitoring the commanded motor currents is applied.","annote":"","author":[{"family":"Schmucker","given":"Benedikt"},{"family":"Trautwein","given":"Felix"},{"family":"Semm","given":"Thomas"},{"family":"Lechler","given":"Armin."},{"family":"Zaeh","given":"Michael F."},{"family":"Verl","given":"Alexander."}],"citation-label":"SCHMUCKER2021342","collection-editor":[],"collection-title":"","container-author":[],"container-title":"Procedia CIRP","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2021"]],"literal":"2021"},"event-place":"","id":"572e469e6f8d84212e85fd4eb698a6adisw-bibliothek","interhash":"0346dab053345d805da57c6fbdac64a1","intrahash":"572e469e6f8d84212e85fd4eb698a6ad","issue":"","issued":{"date-parts":[["2021"]],"literal":"2021"},"keyword":"simulation control isw","misc":{"issn":"2212-8271","doi":"https://doi.org/10.1016/j.procir.2021.01.097"},"note":"8th CIRP Global Web Conference – Flexible Mass Customisation (CIRPe 2020)","number":"","number-of-pages":"4","page":"342-346","page-first":"342","publisher":"","publisher-place":"","status":"","title":"Implementation of an Intelligent System Architecture for Process Monitoring of Machine Tools","type":"article-journal","username":"isw-bibliothek","version":"","volume":"96"},"74eb90af7e47b927d3415f4faae2bf31isw-bibliothek":{"DOI":"","ISBN":"","ISSN":"","URL":"","abstract":"","annote":"","author":[{"family":"Neubauer","given":"Michael"},{"family":"Mesmer","given":"Patrick"},{"family":"Lechler","given":"Armin"},{"family":"Verl","given":"Alexander"}],"citation-label":"neubauer2020dynamisches","collection-editor":[],"collection-title":"","container-author":[],"container-title":"wt Werkstatttechnik online","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2020","03"]],"literal":"2020"},"event-place":"","id":"74eb90af7e47b927d3415f4faae2bf31isw-bibliothek","interhash":"5819722740e0c959092aaca5d1526e4f","intrahash":"74eb90af7e47b927d3415f4faae2bf31","issue":"3","issued":{"date-parts":[["2020","03"]],"literal":"2020"},"keyword":"Messen/Steuern/Regelnsend:unibiblio Simulation Industrieroboter","note":"","number":"3","number-of-pages":"4","page":"130-134","page-first":"130","publisher":"","publisher-place":"","status":"","title":"Dynamisches Verhalten von Industrierobotern - Über das Potenzial von Secondary Encodern zur Vermessung","type":"article-journal","username":"isw-bibliothek","version":"","volume":"110"},"0caf0d4c1fa0a22e9cb09d879747d915isw-bibliothek":{"DOI":"10.1109/IECON43393.2020.9254923","ISBN":"","ISSN":"2577-1647","URL":"https://ieeexplore.ieee.org/document/9254923/","abstract":"The handling of deformable linear objects (DLOs), such as cables or hoses, with industrial robots is hardly industrially automated due to the underactuated material behavior. Increasing computing power and decreasing cost of processors over the last decades are now allowing the online computation of more complex handling processes. Within this paper, DLOs are approximated as a multibody chain with a finite number of degrees of freedom. Based on that model, a nonlinear, partially IO-linearizing controller is derived to control an underactuated end point on a trajectory when grasped by a robot arm at the other end. The controller is verified in simulation for high dynamics and shown to significantly reduce the tracking error. A practical evaluation finally shows the qualitative suitability of the multibody approximation and is used to validate the functionality of the controller in an open-loop experiment.","annote":"","author":[{"family":"Hinze","given":"Christoph"},{"family":"Zürn","given":"Manuel"},{"family":"Wnuk","given":"Markus"},{"family":"Lechler","given":"Armin"},{"family":"Verl","given":"Alexander"}],"citation-label":"9254923","collection-editor":[],"collection-title":"","container-author":[],"container-title":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2020","10"]],"literal":"2020"},"event-place":"","id":"0caf0d4c1fa0a22e9cb09d879747d915isw-bibliothek","interhash":"7ea6f821bac9b5e24f166f5f0e7cb3b9","intrahash":"0caf0d4c1fa0a22e9cb09d879747d915","issue":"","issued":{"date-parts":[["2020","10"]],"literal":"2020"},"keyword":"myown SimTech simulation grk2198 control EXC2075","misc":{"issn":"2577-1647","doi":"10.1109/IECON43393.2020.9254923"},"note":"","number":"","number-of-pages":"6","page":"310-316","page-first":"310","publisher":"","publisher-place":"","status":"","title":"Nonlinear Trajectory Control for Deformable Linear Objects based on Physics Simulation","type":"paper-conference","username":"isw-bibliothek","version":"","volume":""},"c3f6c769d0824fd62f567ad016d2cd61isw-bibliothek":{"DOI":"10.1007/s10010-020-00420-3","ISBN":"","ISSN":"1434-0860","URL":"https://doi.org/10.1007/s10010-020-00420-3","abstract":"Moderne Fertigungssysteme sind komplexe, umfangreiche Systeme. Eine sorgfältige Planung des gesamten Fertigungssystems ist erforderlich, um langfristig effektiv zu produzieren und Gewinne zu erzielen. Bei der Layoutplanung dieser Systeme muss berücksichtigt werden, dass der Materialfluss zwischen einzelnen Stationen zuverlässig und reibungslos funktioniert. Die virtuelle Inbetriebnahme (VIBN) ermöglicht es, das Zusammenspiel von Anlagenlayout und Steuerungssystem, welches das optimale Design der Anlage wesentlich beeinflusst, frühzeitig zu testen. Konzeptionsfehler und Engpässe, die die Performance beeinflussen, können im Voraus erkannt und behoben werden. Für die VIBN wird die reale Anlage durch ein Simulationsmodell ersetzt, um im Zusammenspiel mit dem realen Steuerungssystem Tests durchführen zu können.","annote":"","author":[{"family":"Kienzlen","given":"Annika"},{"family":"Weißen","given":"Jennifer"},{"family":"Verl","given":"Alexander"},{"family":"Göttlich","given":"Simone"}],"citation-label":"Kienzlen2020","collection-editor":[],"collection-title":"","container-author":[],"container-title":"Forschung im Ingenieurwesen","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2020","10","27"]],"literal":"2020"},"event-place":"","id":"c3f6c769d0824fd62f567ad016d2cd61isw-bibliothek","interhash":"2b6504b497e898e9d79e1fdd1aa04919","intrahash":"c3f6c769d0824fd62f567ad016d2cd61","issue":"","issued":{"date-parts":[["2020","10","27"]],"literal":"2020"},"keyword":"simulation materialfluss isw","misc":{"issn":"1434-0860","doi":"10.1007/s10010-020-00420-3"},"note":"","number":"","page":"","page-first":"","publisher":"","publisher-place":"","status":"","title":"Simulative Optimierung der Steuerungsparameter eines Materialflusslayouts mit Bandförderern","type":"article-journal","username":"isw-bibliothek","version":"","volume":""}}