@inbook{28453, abstract = {{The consideration of the robustness is indispensable to ensure a reliable and reproducible manufacturing of functionally graded components. In order to establish a common understanding as basis for the holistic robustness consideration within the Collaborative Transregional Research Centre 30 (CRC Transregio 30), a joint development of methods for analysing and optimising the robustness is necessary. The term "robustness", however, has been used differently in the various disciplines of the CRC Transregio 30. Thus, this contribution proposes a common definition of robustness for the whole research centre. In addition, a procedure model for considering the robustness with a collection of methods, that can be combined or adapted by the involved disciplines, is presented. The validation of the recommended procedure model has been conducted by a compression moulding process.}}, author = {{Biermann, Dirk and Gausemeier, J{\"u}rgen and Hess, Stefan and K{\, Daniel and Petersen, Marcus and Wagner, T}}, booktitle = {{Functionally Graded Materials in Industrial Mass Production | Volume 2}}, editor = {{Heim, Hans-Peter and Biermann, Dirk and Homberg, Werner}}, isbn = {{978-3-942267-91-5}}, pages = {{357--366}}, publisher = {{Verlag Wissenschaftliche Scripten}}, title = {{{Foundations for Considering the Robustness within the CRC TRR 30}}}, volume = {{2}}, year = {{2013}}, } @article{28454, author = {{Amshoff, Benjamin and Eckelt, Daniel}}, journal = {{Scientific Society for Product Development WiGeP News}}, title = {{{Concept for {\ "u} r an intelligent technology fr {\" u} haufkl {\ "a} rung}}}, volume = {{Issue 2}}, year = {{2013}}, } @inbook{28456, abstract = {{Functional gradation denotes the systematic and reproducible microstructure adjustment of a single material component for the customisation of the macroscopic properties (e.g. hardness or ductility). This customisation is tailored with respect to the later intended application of the component. The improved material utilisation enables light weight design and simplifies the recycling by using single material components. Hence, it provides a resource-conserving alternative for modern composite materials and offers an innovative approach for customisable smart products of the future. Manufacturing functionally graded components requires complex thermo-mechanically coupled process chains that increase the effort for the holistic design. To realise the full potential offered by functional gradation, the available planning and optimisation methods as well as the surrogate models developed during the first research period of the Collaborative Transregional Research Centre (CRC Transregio 30) are significantly enhanced. Furthermore, all the methods and surrogate models as well as the process knowledge obtained by laboratory experiments are consolidated in a comprehensive computer-aided framework to provide a continuous support for the engineer during the planning process. This contribution proposes the methodical foundations within the framework along the planning process: Component description, synthesis of suitable manufacturing process chains, and optimisation of the process chain parameters as well as the specification of the production system. The methods are validated based on an exemplary planning task within the CRC Transregio 30. }}, author = {{Biermann, Dirk and Gausemeier, J{\"u}rgen and Hess, Stefan and Petersen, Marcus and Wagner, T}}, booktitle = {{Functionally Graded Materials in Industrial Mass Production | Volume 2}}, editor = {{Heim, Hans-Peter and Biermann, Dirk and Homberg, Werner}}, isbn = {{978-3-942267-91-5}}, pages = {{341--356}}, publisher = {{Verlag Wissenschaftliche Scripten}}, title = {{{Synthesis and Multi-Objective Model-based Optimisation of Process Chains for Manufacturing Components with Functionally Graded Properties}}}, volume = {{2}}, year = {{2013}}, } @inbook{28457, abstract = {{Functional gradation denotes the systematic and reproducible adaption of the microstructure for the customisation of the macroscopic properties (e.g. hardness or strength) of a single material component. This customisation is tailored with respect to the intended application of the component. The improved material utilisation enables light weight design and improved recycling abilities. Hence, it provides a resource-conserving alternative for modern composite materials. To exploit the potential offered by functional gradation, the available planning and optimisation methods have to be significantly enhanced. Three-dimensional distributions of component properties have to be specified and predicted. Complex interdependencies between the manufacturing process steps and the properties of the component as well as between the process steps themselves have to be considered. In this contribution, new as well as enhancements of existing methods are presented along the planning process: Component description, synthesis of suitable manufacturing process chains, and optimisation of the process chain parameters. The resulting procedure model allows the specification of the desired property distribution, the subsequent identification of process chains capable of producing the component as well as the optimisation of each process parameter. }}, author = {{Biermann, Dirk and Gausemeier, J{\"u}rgen and Hess, Stefan and Petersen, Marcus and Wagner, T}}, booktitle = {{Functionally Graded Materials in Industrial Mass Production | Fundamentals}}, editor = {{Homberg, Werner and Biermann, Dirk and Heim, Hans-Peter}}, isbn = {{978-3-942267-92-2}}, pages = {{145--154}}, publisher = {{Verlag Wissenschaftliche Scripten}}, title = {{{Planning Methods for Manufacturing Functionally Graded Components – Challenges and Solutions}}}, volume = {{Fundamentals}}, year = {{2013}}, } @inbook{28458, author = {{Iwanek, Peter and Kaiser, Lydia and Dumitrescu, Roman and Ny{\ss}en, Alexander}}, booktitle = {{Tag des Systems Engineerings}}, editor = {{Maurer, Maik and Schulze, Sven-Olaf}}, isbn = {{ 978-3-446-43915-3}}, pages = {{337--346}}, publisher = {{Carl Hanser Verlag}}, title = {{{Fachdisziplin{\"u}bergreifende Systemmodellierung mechatronischer Systeme mit SysML und CONSENS}}}, year = {{2013}}, } @article{2846, author = {{Gries, Thomas and Meierrieks, DAniel}}, journal = {{Journal of Peace Research}}, number = {{1}}, pages = {{91 -- 104}}, title = {{{Causality Between Terrorism and Economic Growth}}}, doi = {{10.1177/0022343312445650}}, volume = {{50}}, year = {{2013}}, } @inproceedings{28460, author = {{Hassan, Bassem and Gausemeier, J{\"u}rgen}}, booktitle = {{Proceedings of SIMUL 2013, the Fifth International Conference on Advances in System Simulation}}, title = {{{Concept for a Task–Specific Reconfigurable Driving Simulator}}}, year = {{2013}}, } @inproceedings{28514, author = {{Frank, Ursula and Anacker, Harald and Bielawny, Dirk}}, pages = {{296--309}}, publisher = {{Springer-Verlag, Heidelberg, Germany}}, title = {{{Scientific Automation rises the productivity of production facilites}}}, volume = {{411}}, year = {{2013}}, } @inproceedings{28515, abstract = {{In this contribution, we present a framework for the computer-aided planning and optimisation of manufacturing process chains for functional graded components. The framework is divided into three modules – the “Component Description”, the “Expert System” for the synthetisation of several manufacturing process chains and the “Modelling and Process Chain Optimisation”. The Component Description module enhances a standard computer-aided design (CAD) model by a voxel-based representation of the intended graded properties. The Expert System synthesises manufacturing process steps stored in the knowledge base to generate alternative process chains. All these process chains are capable of producing components according to the enhanced CAD model. They consist of a sequence of heating-, cooling-, and forming manufacturing processes. The interdependencies between the component and the applied manufacturing processes as well as between the processes themselves need to be considered. For that purpose the Expert System utilises an ontology. The ontology represents all the interdependencies in a structured way and connects the information of the knowledge base via relations. The third module performs the evaluation of the generated manufacturing process chains. To accomplish this, the parameters of each process step are optimised according to the component specification, whereby the result of the best parameterization is used as a representative value. Finally the process chain which is capable of producing a functional graded component in an optimal way regarding to the property distributions of the component description is presented by means of a dedicated specification technique. In this contribution, we present a framework for the computer-aided planning and optimisation of manufacturing process chains for functional graded components. The framework is divided into three modules – the “Component Description”, the “Expert System” for the synthetisation of several manufacturing process chains and the “Modelling and Process Chain Optimisation”. The Component Description module enhances a standard computer-aided design (CAD) model by a voxel-based representation of the intended graded properties. The Expert System synthesises manufacturing process steps stored in the knowledge base to generate alternative process chains. All these process chains are capable of producing components according to the enhanced CAD model. They consist of a sequence of heating-, cooling-, and forming manufacturing processes. The interdependencies between the component and the applied manufacturing processes as well as between the processes themselves need to be considered. For that purpose the Expert System utilises an ontology. The ontology represents all the interdependencies in a structured way and connects the information of the knowledge base via relations. The third module performs the evaluation of the generated manufacturing process chains. To accomplish this, the parameters of each process step are optimised according to the component specification, whereby the result of the best parameterization is used as a representative value. Finally the process chain which is capable of producing a functional graded component in an optimal way regarding to the property distributions of the component description is presented by means of a dedicated specification technique. }}, author = {{Petersen, Marcus and Gausemeier, J{\"u}rgen}}, editor = {{Kovács, George L and Kochan , Detlef}}, isbn = {{978-3-642413-28-5}}, pages = {{413--422}}, publisher = {{Springer Cham Heidelberg New York Dordrecht London}}, title = {{{A Comprehensive Framework for the Computer-Aided Planning and Optimisation of Manufacturing Processes for Functional Graded Components}}}, year = {{2013}}, } @inproceedings{28516, author = {{Rehage, Gerald and Bauer, Frank and Gausemeier, J{\"u}rgen}}, publisher = {{Springer-Verlag Berlin Heidelberg}}, title = {{{Intelligent Manufacturing Operations Planning, Scheduling and Dispatching on the Basis of Virtual Machine Tools}}}, year = {{2013}}, } @inproceedings{28517, abstract = {{Functional gradation denotes a continuous distribution of properties over at least one spatial dimension of a component made of single material. This distribution is tailored with respect to the later intended application of the component. The improved material utilization enables light weight design and reduced resource consumption, thus offering an alternative for modern composite materials. To support the production planner in setting up the required manufacturing processes, this contribution proposes a multi-criteria decision-support approach that is based upon a framework for the computer-aided planning and optimisation of functionally graded components. The obtained ranking of possible process chains then allows the production planner to select the best alternative.}}, author = {{Rudtsch, Vinzent and Gausemeier, J{\"u}rgen and Petersen, Marcus}}, editor = {{Dangelmaier, Wilhelm and Laroque, Christoph and Klaas, Alexander}}, isbn = {{978-3-942647-35-9}}, pages = {{469--480}}, publisher = {{Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn}}, title = {{{Multikriterielle Entscheidungsunterst{\"u}tzung f{\"u}r die Synthese von Herstellprozessen zur Fertigung funktional gradierter Bauteile}}}, year = {{2013}}, } @inproceedings{28518, author = {{Eckelt, Daniel and Placzek, Markus}}, pages = {{503--513}}, publisher = {{GITO-Verlag}}, title = {{{Mechanisms interdisciplinary {\ "a} r cooperation in product discovery - approaches {\" a} approaches for collaborative generation of ideas}}}, year = {{2013}}, } @inproceedings{28520, author = {{Rehage, Gerald and Bauer, Frank and Gausemeier, J{\"u}rgen}}, publisher = {{Springer-Verlag Berlin Heidelberg}}, title = {{{Specification Technique for the Consistent Description of Manufacturing Operations and Resources}}}, year = {{2013}}, } @inproceedings{28521, abstract = {{In this contribution a methodology for a multi-criteria decision-support for manufacturing process chain selection in the context of functionally graded components is presented. The basis for this decision-support is provided by a framework for the computer-aided planning and optimisation of manufacturing process chains of functionally graded components, which is still under development. To distinguish between several alternative process chains it is necessary to consider those decision criteria that can not explicitly be specified within the CAD model. A matrix-supported algorithm guarantees a consistent weighting of these decision criteria while enabling a fine-granular rating scale. As a result, a ranking of the different process chains is achieved that constitutes the basis for the decision maker to select the favourite alternative. }}, author = {{Petersen, Marcus and Rudtsch, Vinzent and Gausemeier, J{\"u}rgen}}, editor = {{Z{\"a}h, Michael}}, isbn = {{978-3-319020-53-2}}, pages = {{377--382}}, publisher = {{Springer Cham Heidelberg New York Dordrecht London}}, title = {{{Multi-Criteria Decision-Support for Manufacturing Process Chain Selection in the Context of Functionally Graded Components}}}, year = {{2013}}, } @inproceedings{28522, author = {{Tan, Yin and Hassan, Bassem}}, booktitle = {{Proceedings of the ASME 2011 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (CIE)}}, title = {{{A Concept of Camera Test-Bench for Testing Camera Based Advanced Driver Assistance Syytems}}}, year = {{2013}}, } @inproceedings{28523, author = {{St{\"o}cklein, J{\"o}rg and M{\"u}ller, Wolfgang and Baldin, Daniel and Xie, Tao}}, publisher = {{ASME}}, title = {{{Virtual Test Environment for Self-Optimizing Systems}}}, year = {{2013}}, } @article{28524, author = {{Peter, Stefan and Eckelt, Daniel and Kliewe, Daniel}}, journal = {{Mechanical engineering and metalworking Germany}}, title = {{{Successful action against product piracy}}}, volume = {{August 2013}}, year = {{2013}}, } @inproceedings{28525, author = {{Tan, Yin and Hassan, Bassem}}, booktitle = {{Proceedings of ISAM (IEEE International Symposium on Assembly and Task Planning)}}, title = {{{A Method for Testing Camera Based Advanced Driving Assistance Systems}}}, year = {{2013}}, } @inproceedings{28526, author = {{Hassan, Bassem and Berssenbr{\"u}gge, Jan and Al Qaisi, Imad and St{\"o}cklein, J{\"o}rg}}, booktitle = {{Proceedings of ISAM (IEEE International Symposium on Assembly and Task Planning}}, title = {{{Reconfigurable Driving Simulator for Testing and Training of Advanced Driver Assistance Systems}}}, year = {{2013}}, } @misc{28528, abstract = {{Functional gradation denotes a continuous distribution of properties over the spatial dimensions of a component. These distributions are tailored with respect to later applications and require complex manufacturing processes. Therefore, a framework for the planning and optimization of manufacturing process chains for those components is presented. The framework is divided into three modules – the Component Description for the integration of graded properties into CAD models, the Expert System for the synthetization of alternative process chains and the Model-based Process Chain Optimization. }}, author = {{Petersen, Marcus and Gausemeier, J{\"u}rgen}}, publisher = {{Vortrag}}, title = {{{A Framework for the Computer-Aided Planning and Optimization of Manufacturing Process Chains in the Context of Functionally Graded Components}}}, year = {{2013}}, }