scispace - formally typeset
Search or ask a question
Author

Jörg Bauer

Bio: Jörg Bauer is an academic researcher from Karlsruhe Institute of Technology. The author has contributed to research in topics: Machining & Machine tool. The author has an hindex of 9, co-authored 25 publications receiving 247 citations. Previous affiliations of Jörg Bauer include Technische Universität Darmstadt.

Papers
More filters
19 Jun 2015
TL;DR: In this paper, the authors present an approach to the Umsetzung of Industrie 4.0-Geschaftsmodelle in unternehmensinternen Workshops.
Abstract: Viele Unternehmen sehen Industrie 4.0 eher als Herausforderung denn als Chance oder Befahiger fur neue Geschaftsmodelle. Konkrete Losungsansatze liegen haufig ebenso im Dunkeln wie die Frage, wofur Industrie 4.0 eigentlich steht. Die Vielfalt in der Unternehmenslandschaft des deutschen Maschinen- und Anlagenbaus bedingt jedoch letztlich, dass sich jedes Unternehmen eine eigene Sichtweise auf Industrie 4.0 erarbeiten und eigene Ideen fur die Nutzung der neuen Potentiale entwickeln muss. Zielsetzung des Leitfadens Industrie 4.0 ist es daher, mittelstandischen Maschinen- und Anlagenbauern ein Werkzeug zur Entwicklung eigener Industrie-4.0-Geschaftsmodelle zur Verfugung zu stellen und damit eigene Industrie-4.0-Umsetzungen zu unterstutzen. Damit stellt der Leitfaden keine vorgefertigte Strategie zur Umsetzung von Industrie 4.0 im eigenen Unter-nehmen dar, sondern zeigt vielmehr Werkzeuge und Vorgehensweisen fur die individuelle Weiterentwicklung der eigenen Starken und Kompetenzen auf. Der Leitfaden ist unterteilt in funf Abschnitte von der Vorbereitung uber die Analyse- und Kreativitatsphase bis hin zur Bewertung und Einfuhrung erarbeiteter Geschaftsmodelle. Den Kern bildet die Durchfuhrung eines unternehmensinternen Workshops, dessen Vorgehensweise und Methoden im Leitfaden ausfuhrlich dargestellt werden. Die Praxistauglichkeit des Leitfadens ist in vier Workshops bei den Pilotunternehmen ARBURG GmbH & Co KG, HAWE Hydraulik SE, SCHUNK GmbH & Co. KG und SMS group getestet worden. Die dabei gesammelten Erfahrungen sind wiederum in den Leitfaden eingeflossen. Ziel des Workshopkonzepts ist es, mithilfe von Kreativitatstechniken eigene Ansatze fur Geschaftsmodelle im Umfeld von Industrie 4.0 zu entwickeln. Grundlage hierfur bildet die vorangehende Analysephase der eigenen Ausgangslage in Bezug auf Industrie 4.0 sowie der sogenannte „Werkzeugkasten Industrie 4.0“. Im Werkzeugkasten werden anschaulich verschiedene Anwendungsebenen von Industrie-4.0-Ansatzen dargestellt und in einzelne, realisierbare Entwicklungsstufen zerlegt. Zur Unterstutzung der Ideengenerierung beim Unternehmen gliedert sich der Werkzeugkasten in die Teilbereiche "Produkte" und "Produktion". Das Workshop-Konzept sieht die Nutzung des Werkzeugkastens in Verbindung mit etablierten Kreativitatstechniken zur Generierung von Ideen und Geschaftsmodellen vor. Dabei entwickeln interdisziplinare Teams aus dem jeweiligen Unternehmen jeweils in Einzel- und Gruppenarbeit eigene Ideen im Umfeld von Industrie 4.0, bewerten diese und entwickeln sie zu unternehmensspezifischen Konzepten fur Geschaftsmodelle weiter. Den Abschluss bildet die Uberfuhrung dieser Konzepte in Projekte, welche im Rahmen einer individuellen Industrie-4.0-Strategie bearbeitet werden konnen. Die bei den vier Pilotunternehmen durchgefuhrten Workshops forderten innovative Ideen fur Geschaftsmodelle zutage. Es konnte gezeigt werden, dass das Vorgehensmodell erfolgreich zur Erarbeitung von Ideen fur Geschaftsmodelle im Umfeld von Industrie 4.0 eingesetzt werden kann. Der Leitfaden bietet damit eine geeignete Grundlage zur Entwicklung eigener Konzepte im Umfeld von Industrie 4.0.

42 citations

Proceedings ArticleDOI
03 Jul 2011
TL;DR: In this article, a model-based off-line concept is presented to analyze, predict, and compensate the resulting path deviation of the robot under process force in milling applications, which is applicable to any tree structured robots and allows for sensitivity analysis with respect to arbitrary model parameters.
Abstract: The scope of applications for industrial robots is limited in cases with strong forces at the end effector and high positioning and path accuracies required. Thus, their use in machining applications as a cost-saving, flexible alternative for machining tools is restricted due to mechanical compliance. A model-based off-line concept is presented to analyze, predict, and compensate the resulting path deviation of the robot under process force in milling applications. For this purpose a rigid multi-body dynamics model of the robot extended with additional joint elasticities and tilting effects is coupled with a material removal simulation providing the process forces. After systematically adjusting model parameters, an efficient simulation-based path correction strategy shows significant improvements of path accuracy. The general framework is applicable to any tree structured robots and allows for sensitivity analysis with respect to arbitrary model parameters.

38 citations

Journal ArticleDOI
TL;DR: In this article, different implementations of elastic joint models of industrial robots are described and compared established in ADAMS and SimMechanics, which are intended to be used for path prediction under process force load due to Roboforming and high speed cutting, respectively.
Abstract: In this paper, different implementations of elastic joint models of industrial robots are described and compared established in ADAMS and SimMechanics. The models are intended to be used for path prediction under process force load due to Roboforming and high speed cutting, respectively. The computational results have been compared and showed good agreement. In experiments of robot forming and robot milling the measured and simulated path deviations according to the process force are compared. The experiments are descriped and the results are discussed within the paper as a basis of a next step model based compensation of the path deviation.

31 citations

Journal ArticleDOI
TL;DR: A method is presented to determine the resulting path deviation of the robot under process force by using a structured light scanner and the robot path is adapted to improve the machining quality.
Abstract: Industrial robots are used in a great variety of applications for handling, welding and milling operations. They represent a cost-saving and flexible alternative for machining applications. A reduced pose and path accuracy, especially under process force load due to the high mechanical compliance, restrict the use of industrial robots for further machining applications. Test results showed that these deviations range up to 0.6 mm. In this paper, a method is presented to determine the resulting path deviation of the robot under process force by using a structured light scanner. The obtained data is compared with the CAD (Computer Aided Design) data of the machined part within a developed software module. Additionally, the developed module provides functions for manipulation, registration of STL (Surface Tessellation Language) surface point clouds and a postprocessor for program translation. The comparison is performed using a dexel discretization of each data set. Based on this comparison the robot path is adapted to improve the machining quality. This method can be applied to 3- and 5-axis machining operations. The results show that the deviation can be reduced to 0.1 mm.

25 citations

Journal ArticleDOI
TL;DR: In this article, the formation of gas bubbles at gas cavities located in walls bounding the flow has been studied in many technical applications, but it is usually hard to observe.
Abstract: The formation of gas bubbles at gas cavities located in walls bounding the flow occurs in many technical applications, but is usually hard to observe. Even though, the presence of a fluid flow undoubtedly affects the formation of bubbles, there are very few studies that take this fact into account. In the present paper new experimental results on bubble formation (diffusion-driven nucleation) from surface nuclei in a shear flow are presented. The observed gas-filled cavities are micrometre-sized blind holes etched in silicon substrates. We measure the frequency of bubble generation (nucleation rate), the size of the detaching bubbles and analyse the growth of the surface nuclei. The experimental findings support an extended understanding of bubble formation as a self-excited cyclic process and can serve as validation data for analytical and numerical models.

23 citations


Cited by
More filters
Journal ArticleDOI
TL;DR: In this article, the authors present the current state of research in process-machine interactions for a wide variety of manufacturing processes, based on the findings of the CIRP research group "Process Machine Interaction" and on the international publications.

214 citations

Journal ArticleDOI
18 Mar 2020-Joule
TL;DR: In this paper, a review of the current knowledge on the effects of bubbles on electrochemical systems with the aim to identify opportunities and motivate future research in this area is presented. But, we lack a detailed understanding on the intricate dependencies between bubble evolution processes and electrochemical phenomena.

212 citations

Journal ArticleDOI
TL;DR: The current usage and status of robots in machining, as well as the necessary modelling and identification for enabling optimization, process planning and process control are dealt with.

192 citations

Journal ArticleDOI
TL;DR: In this article, a review of the current knowledge on the effects of bubbles on electrochemical systems with the aim to identify opportunities and motivate future research in this area is presented. But, we lack a detailed understanding on the intricate dependencies between bubble evolution processes and electrochemical phenomena.
Abstract: Bubbles are known to influence energy and mass transfer in gas evolving electrodes. However, we lack a detailed understanding on the intricate dependencies between bubble evolution processes and electrochemical phenomena. This review discusses our current knowledge on the effects of bubbles on electrochemical systems with the aim to identify opportunities and motivate future research in this area. We first provide a base background on the physics of bubble evolution as it relates to electrochemical processes. Then we outline how bubbles affect energy efficiency of electrode processes, detailing the bubble-induced impacts on activation, ohmic and concentration overpotentials. Lastly, we describe different strategies to mitigate losses and how to exploit bubbles to enhance electrochemical reactions.

161 citations

Journal ArticleDOI
TL;DR: This keynote paper presents the current state of the art with respect to materials applied in machine tool structures and reviews the correspondent scientific literature to give an overview and insight regarding material selection and exploitation for high performance, high precision and high efficiency machine tools.

128 citations