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Featured researches published by Jörg Bauer.


international conference on advanced intelligent mechatronics | 2011

Model-based off-line compensation of path deviation for industrial robots in milling applications

Christian Reinl; Martin Friedmann; Jörg Bauer; M. Pischan; Eberhard Abele; O. von Stryk

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.


Production Engineering | 2012

Tool path adaption based on optical measurement data for milling with industrial robots

Eberhard Abele; Klaus Schützer; Jörg Bauer; M. Pischan

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 0.6xa0mm. 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 0.1xa0mm.


Archive | 2013

Analysis of Industrial Robot Structure and Milling Process Interaction for Path Manipulation

Jörg Bauer; Martin Friedmann; Thomas Hemker; M. Pischan; Christian Reinl; Eberhard Abele; O. von Stryk

Industrial robots are used in a great variety of applications for handling, welding, assembling and milling operations. Especially for machining operations, industrial robots represent a cost-saving and flexible alternative compared to standard machine tools. Reduced pose and path accuracy, especially under process force load due to the high mechanical compliance, restrict the use of industrial robots for machining applications with high accuracy requirements. In this chapter, a method is presented to predict and compensate path deviation of robots resulting from process forces. A process force simulation based on a material removal calculation is presented. Furthermore, a rigid multi-body dynamic system’s model of the robot is extended by joint elasticities and tilting effects, which are modeled by spring-damper-models at actuated and additional virtual axes. By coupling the removal simulation with the robot model the interaction of the milling process with the robot structure can be analyzed by evaluating the path deviation and surface structure. With the knowledge of interaction along the milling path a general model-based path correction strategy is introduced to significantly improve accuracy in milling operations.


Journal of Vibration and Control | 2015

Low-frequency dynamics of an electrorheological fluid in squeeze and shear mode. Part I: experiments

Nicklas Norrick; Fadi Dohnal; Jörg Bauer

Electrorheological fluids (ERFs) offer a rapid control of damping using very low power requirements. Different models have been proposed to simulate the hysteresis phenomenon observed experimentally in ERF. This paper describes the steps to be taken to extract measurements of an ERF in squeeze and shear mode. A novel modular test facility was designed to perform measurements of a specific ERF in squeeze and shear mode. This device allows the measurement of the dynamic response of the fluid under various excitation conditions. Dense measurement grids of fluid force and electrode displacement at harmonic excitation are collected in dependency of the excitation frequency, the displacement amplitude and the applied electric field. The main problems to be solved during the setup and execution of the measurements are discussed. The steps to be taken during signal processing to achieve high-quality measurements as inputs for material model fitting are described in detail. Example measurements for both squeeze and shear mode are presented. The fitting of the obtained results to a material model for ERF and discussion of the resulting extended Bouc–Wen model will be the topic of an accompanying paper.


Archive | 2008

Prediction of the Tool Displacement by Coupled Models of the Compliant Industrial Robot and the Milling Process

Eberhard Abele; Jörg Bauer; Stefan Rothenbücher; M. Stelzer; Oskar von Stryk


Cirp Journal of Manufacturing Science and Technology | 2011

Comparison and validation of implementations of a flexible joint multibody dynamics system model for an industrial robot

Eberhard Abele; Jörg Bauer; Thomas Hemker; R. Laurischkat; H. Meier; S. Reese; O. von Stryk


Archive | 2008

Comparison of Implementations of a Flexible Joint Multibody Dynamic System Model for an Industrial Robot

Eberhard Abele; Jörg Bauer; C. Bertsch; R. Laurischkat; H. Meier; S. Reese; M. Stelzer; Oskar von Stryk


Archive | 2011

Einsatz von Robotern in der spanenden Fertigung

Eberhard Abele; Jörg Bauer; Martin Friedemann; M. Pischan; Christian Reinl; Oskar von Stryk


Archive | 2010

Prediction of the Tool Displacement for Robot Milling Applications using Co-Simulation of an industrial Robot and a Removal Process

Eberhard Abele; Jörg Bauer; M. Pischan; Oskar von Stryk; Martin Friedmann; Thomas Hemker


Experiments in Fluids | 2018

Bubble nucleation from micro-crevices in a shear flow

T. F. Groß; Jörg Bauer; G. Ludwig; D. Fernandez Rivas; P. F. Pelz

Collaboration


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Eberhard Abele

Technische Universität Darmstadt

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M. Pischan

Technische Universität Darmstadt

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Oskar von Stryk

Technische Universität Darmstadt

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Christian Reinl

Technische Universität Darmstadt

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M. Stelzer

Technische Universität Darmstadt

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Martin Friedmann

Technische Universität Darmstadt

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O. von Stryk

Technische Universität Darmstadt

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Thomas Hemker

Technische Universität Darmstadt

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H. Meier

Ruhr University Bochum

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