@inproceedings{23002, author = {{Holtkötter, Jens and Michael, Jan and Henke, Christian}}, booktitle = {{Virtuelle Instrumente in der Praxis 2017}}, pages = {{62--65}}, publisher = {{VDE VERLAG}}, title = {{{Systematische Inbetriebnahme einer Prüfeinrichtung für Zugversuche}}}, volume = {{22}}, year = {{2017}}, } @inbook{23008, author = {{Krüger, Martin and Borsig, Michael and Damerow, Ulf-Hendrik and Gräler, Manuel and Trächtler, Ansgar}}, booktitle = {{Math for the Digital Factory}}, pages = {{273--288}}, publisher = {{Springer International Publishing}}, title = {{{Model-Based Design of Self-Correcting Forming Processes}}}, year = {{2017}}, } @inproceedings{23011, author = {{Henke, Christian and Michael, Jan and Lankeit, Christopher and Trächtler, Ansgar}}, booktitle = {{Systems Conference 2017}}, publisher = {{IEEE}}, title = {{{A Holistic Approach for Virtual Commissioning of Intelligent Systems}}}, year = {{2017}}, } @inproceedings{23012, author = {{Michael, Jan and Hellweg, Alina and Henke, Christian and Trächtler, Ansgar}}, booktitle = {{Fachtagung Mechatronik 2017}}, pages = {{18--23}}, publisher = {{VDI Mechatronik}}, title = {{{Dynamische Prozessplanung im Smart Home auf Basis von Mutliagentensystemen}}}, volume = {{12}}, year = {{2017}}, } @inproceedings{23014, author = {{Rüting, Arne Thorsten and Block, Eduard and Trächtler, Ansgar}}, booktitle = {{Fachtagung Mechatronik 2017}}, pages = {{250--255}}, publisher = {{VDI Mechatronik}}, title = {{{Modellprädiktive Vorsteuerung für einen kinematisch redundanten hybridkinematischen Mechanismus im Industrieumfeld}}}, volume = {{12}}, year = {{2017}}, } @inproceedings{23018, author = {{Pai, Arathi}}, booktitle = {{Regelungstechnisches Kolloquium}}, title = {{{Sliding-Mode-Regler zur Kraft- und Positionsregelung eines Formgedächtnislegierung-Aktors}}}, year = {{2017}}, } @inproceedings{21690, abstract = {{Additive Manufacturing is a technology that offers a high potential forindustrial companies.Nevertheless, companies lack experience with this new technology and face the problem to identify processes where a successful and beneficial application can be achieved. They have to be supported in this analysis with a decision support tool which is capable to compare different manufacturing or repair approaches in order to determine the optimal solution for the correspondent use case. This is not always driven solely by costs but can also be critically affected by further influencing factors. This is why the decision support takes into account also time and quality alongside the costs. For a time-critical spare part supply, for example within aerospace sector, they are substantial for taking a decision. The presented decision support features a multi-attribute decision-making approach for selecting the most appropriate process, either Additive Manufacturing, conventional technologies or an external procurement.}}, author = {{Deppe, G. and Koch, R. and Kaesberg, M.}}, booktitle = {{28th Annual International Solid Freeform Fabrication Symposium}}, pages = {{2597--2611}}, title = {{{Rational Decision-Making for the Beneficial Application of Additive Manufacturing}}}, doi = {{http://utw10945.utweb.utexas.edu/sites/default/files/2017/Manuscripts/RationalDecisionMakingfortheBeneficialApplic.pdf}}, volume = {{28}}, year = {{2017}}, } @inproceedings{21691, abstract = {{Designing parts for additive manufacturing (AM) offers a broad range of geometrical and functional potentials. On the one hand the manufacturingtechnology offers the possibility of manufacturing highly complex freeform shapes, often referred to as bionic shapes. By use of these, perfect force fluxes without stress risings due to imperfect notches are realizable, getting the most value of used material. On the other hand these complex structures require a reliable geometry representation in compatible CAD-files. Conventional CAD systems were developed to generate geometries that are manufacturable with conventional machining. These are not capable of representing the high complex designs for AM. Especially for geometries generated by CAE like from topology optimization the conventional CAD systems fail to take advantage of the combination of CAE and AM. This paper explains why there is a lack of compatibility of well-known CAD systems with the potentials of AM. Therefore the AM-side of the problem is described by showing some potentials of AM and the need of high complex structures for this manufacturing technology. For the other side of the problem conventional methodologies for geometry representation of CAD systems are described and their limitations with regard to AM are worked out. Finally a voxel based geometry representation is presented as a solution for computer aided geometry generation of high complex AM–structures.}}, author = {{Reiher, T. and Vogelsang, S. and Koch, R.}}, booktitle = {{28th Annual International Solid Freeform Fabrication Symposium}}, pages = {{903--921}}, title = {{{Computer integration for geometry generation for product optimization with Additive Manufacturing}}}, doi = {{http://utw10945.utweb.utexas.edu/sites/default/files/2017/Manuscripts/ComputerIntegrationforGeometryGenerationforP.pdf}}, volume = {{28}}, year = {{2017}}, } @inproceedings{21692, abstract = {{In many branches in the designengineerdepartment, product designs are just variations of existing parts. To bring the additive manufacturing technology closer to the Designer, it is necessary to show them which of their existing, conventionally manufactured parts can be produced with this technology. Apartselection methodology supportsdesigners in the decision whether a part is suitable for additive manufacturingor not. Due to the potential of the technology, which was especially seen in the aerospace industries, many criteria of the methodology were initially adapted for this industry. Furthermore the methodology is based on a quantified weighting system, which comes to a certain subjectivity. For future use, a development towards a less subjective methodology should be accomplished. Through a more detailed adaption for individual industries and a simplification of the input mode, the objectivity of the criteria can be increased. Likewise, the input time can be reduced by simplifying the questioning. A more efficient part selection will be achieved by a better weighting system.In the BMBF project “OptiAMix” this methodology is supposed to be further developed for highly different branches. By a better weighting system, the part selection will be more efficient. Therefore,the willingness for the use of the improved selection andfor the additive manufacturing technology will be increased.}}, author = {{Kruse, A. and Reiher, T. and Koch, R.}}, booktitle = {{28th Annual International Solid Freeform Fabrication Symposium}}, pages = {{2575--2584}}, title = {{{Integrating AM into existing companies - selection of existing parts for increase of acceptance}}}, doi = {{http://utw10945.utweb.utexas.edu/sites/default/files/2017/Manuscripts/IntegratingAMintoExistingCompaniesSelection.pdf}}, volume = {{28}}, year = {{2017}}, } @inproceedings{21693, abstract = {{Although infringements of intellectual properties in terms of product piracy are growing for years and threaten investments in research and development most companies still rely on legal measures like property rights. A more preventive effect to protect against counterfeits can be achieved using technical measures complicating reverse engineering, improving traceability and assuring data protection. Additive Manufacturing can contribute a lot to the effectivity and efficiency of those technical measures but presently they are often unconsidered during product development. To support decision makers and designers through all the steps of a product development process an integrated systematic approach has been developed. Protective measures using AM are allocated to specific process steps and responsible persons in charge so that the result is a guideline for “design for protection”. The main idea is to help developing piracy-robust products for that the return of investment is not threatened by counterfeits and its economical impacts.}}, author = {{Jahnke, U. and Koch, R. and Oppermann, A. T.}}, booktitle = {{28th Annual International Solid Freeform Fabrication Symposium}}, pages = {{2481--2492}}, title = {{{Design for protection: Systematic approach to prevent product piracy during product development using AM }}}, doi = {{http://utw10945.utweb.utexas.edu/sites/default/files/2017/Manuscripts/DesignforProtectionSystematicApproachtoPrev.pdf}}, volume = {{28}}, year = {{2017}}, } @inproceedings{21694, abstract = {{In conventional manufacturing, ramp-up-management describes the planning and organization of the period between finished product development and the achievement of full production capacity for defined products. This classification has to be adapted and restructured by means of product independent and tool-free production in additive manufacturing. Therefore ramp-up-management already starts with decisions on the extentof the use of additive manufacturing, includes the building of technology-know-how as well as the technology integration into processes and infrastructure of the company and ends with the attainment of a sufficient process reliability for the AM-machine. This paper focuses on technology integration in processes and infrastructure, which is part of the German research project OptiAMix. In this project, new systems for process state analysis adapted to additive manufacturing and methods for the optimal integration of additive manufacturing are developed. Furthermore ways of using the synergies of existing infrastructures and new innovative production technologies are determined.}}, author = {{Büsching, J. and Koch, R.}}, booktitle = {{28th Annual International Solid Freeform Fabrication Symposium}}, pages = {{2585--2596}}, title = {{{Ramp-Up-Management in Additive Manufacturing – Technology Integration in existing Business Processes}}}, doi = {{http://utw10945.utweb.utexas.edu/sites/default/files/2017/Manuscripts/RampUpManagementinAdditiveManufacturingTec.pdf}}, volume = {{28}}, year = {{2017}}, } @inproceedings{21695, abstract = {{Designing parts for additive manufacturing (AM) offers a broad range of geometrical and functional potentials. On the one hand the manufacturingtechnology offers the possibility of manufacturing highly complex freeform shapes, often referred to as bionic shapes. By use of these, perfect force fluxes without stress risings due to imperfect notches are realizable, getting the most value of used material. On the other hand these complex structures require a reliable geometry representation in compatible CAD-files. Conventional CAD systems were developed to generate geometries that are manufacturable with conventional machining. These are not capable of representing the high complex designs for AM. Especially for geometries generated by CAE like from topology optimization the conventional CAD systems fail to take advantage of the combination of CAE and AM. This paper explains why there is a lack of compatibility of well-known CAD systems with the potentials of AM. Therefore the AM-side of the problem is described by showing some potentials of AM and the need of high complex structures for this manufacturing technology. For the other side of the problem conventional methodologies for geometry representation of CAD systems are described and their limitations with regard to AM are worked out. Finally a voxel based geometry representation is presented as a solution for computer aided geometry generation of high complex AM–structures.}}, author = {{Reiher, T. and Vogelsang, S. and Koch, R.}}, booktitle = {{28th Annual International Solid Freeform Fabrication Symposium}}, pages = {{903--921}}, title = {{{Computer integration for geometry generation for product optimization with Additive Manufacturing}}}, doi = {{http://utw10945.utweb.utexas.edu/sites/default/files/2017/Manuscripts/ComputerIntegrationforGeometryGenerationforP.pdf}}, volume = {{28}}, year = {{2017}}, } @article{21697, abstract = {{Additive Manufacturing provides an outstanding technological and economic potential for a wide range of industries. Particularly in the field of small series production with many product variants, the technology offers decisive advantages, such as reducing component weight, functional integration, complex parts or individualization. Today potential users struggle with the integration of this technology in their businesses. The production costs of this technology often seem too high compared to traditionally manufactured parts and many users seem disappointed with the performance of the technology. The reasons for that are manifold, but often Additive Manufacturing is considered only as an isolated technology. }}, author = {{Deppe, G. and Lindemann, C.}}, journal = {{CECIMO Magazine}}, number = {{11}}, pages = {{28--29}}, title = {{{Hybrid Manufacturing with Additive Manufacturing}}}, doi = {{https://www.cecimo.eu/wp-content/uploads/2019/03/CECIMO-Magazine-Spring-2017-LQ.pdf}}, volume = {{17}}, year = {{2017}}, } @article{21704, abstract = {{Even in times where additive manufacturing has a peak in media and industry interest, only few companies have already implemented this technology. Many companies struggle with the use of AM even if they have already identified the benefits of this technology for their business. Additional knowledge along the whole product development chain is necessary to succeed in implementing this technology. As all other production technologies, AM has certain strength and weaknesses which affect the suitable part candidates. Redesign or manufacturing approaches of unsuited part candidates are no very likely to be successful. In general, aspects like design rules need to be known along the product development process in order to achieve technology-based benefits during production and post-processing resulting in economic success. This paper will present a holistic approach which will assist the designer during product development and manufacturing based on an example part from the space industry. Then methodology starts with an appropriate part selection as a key parameter for the product development process. Based on the promising part candidates, deductions for the further product development process will be described. This includes approaches for functional integration as well as a methodology for the compilation of part requirements. Those are utilized for a black box methodology, ensuring a time-efficient redesign based on FEA optimization and design rules for additive manufacturing. Best practices for integrating (or in the best case avoiding) traditional technologies are discussed. Based on this, the development of industrialization and test and verification plans for production are shown. This includes the marking of parts for traceability during the whole product lifecycle for quality reasons as well as for product protection. Furthermore, production and production planning are discussed. This is followed by post-processing and testing procedures of the part. The paper will close with a detailed economic view on the topic and some deductions regarding the changes in the supply chain. The methodology itself is discussed and explained on a real sample metal part. The general methodology is discussed on the basis of the space industry but is subject to be adapted to other industries.}}, author = {{Reiher, T. and Lindemann, C. and Jahnke, U. and Deppe, G. and Koch, R.}}, isbn = {{2363-9520}}, journal = {{Progress in Additive Manufacturing}}, pages = {{43--55}}, publisher = {{Springer}}, title = {{{Holistic approach for industrializing AM technology - from part selection to test and verification}}}, doi = {{https://doi.org/10.1007/s40964-017-0018-y}}, volume = {{2}}, year = {{2017}}, } @inproceedings{22040, abstract = {{Fused Deposition Modeling (FDM) is used for prototypes, single-partproduction and small batch productions of thermoplastic components. This manufacturing technique has the huge benefit that no forming tool is needed. The knowledge about dimensional deviations which occur in the FDM process is necessary for calculating fits and for determining tolerances. A major challenge is the reproducibility of the dimensional accuracy of FDM parts and the reproducibility between different FDM machines. There are many influential factors on the dimensional accuracy in the FDM process for example geometric, material-specific or process-specific factors, which are considered in this paper. The influence of the part position on the build platform of a Stratasys Fortus 400mc is analyzed in terms of the achievable dimensional accuracy. For this purpose, the temperature distribution in the actively heated build chamber is investigated and possible correlations to the dimensional accuracy are identified. The reproducibility of one machine is examined by a multiple production of the test specimens. In addition, a comparison with three other FDM machines from Stratasys is made. Afterwards, the long-term reproducibility of the dimensional accuracy is verified to consider how environmental influences such as maintenance or modification of machine components affect the dimensional accuracy of the FDM process.}}, author = {{Knoop, F. and Lieneke, Tobias and Schöppner, Volker}}, booktitle = {{Rapid Tech - International Trade Show & Conference for Additive Manufacturing}}, pages = {{52--66}}, title = {{{Reproduzierbarkeit der Maßhaltigkeit im Fused Deposition Modeling}}}, doi = {{10.3139/9783446454606.004}}, year = {{2017}}, } @inproceedings{22042, abstract = {{Compared to conventional polymer processing technologies the material selection in the Fused Deposition Modelling (FDM) process is restricted. To expand the range of materials the requirements for the material properties and the semi-finished products (filaments) must be clarified. For this, a machine- and process-independent rating of the processability is necessary. The established standards for the tensile strength test apply to specimens with nearly isotropic mechanical properties. The FDM process generates anisotropic parts. The properties are mainly influenced by the machine quality and the data processing. It is not possible to test a material for FDM independently of the machine and the data processing. In this paper, machine and process specific influences are investigated. Considering these influences, a custom-built specimen is created to test the tensile strength of the welding seams for polyamide 6. This procedure allows a machine- and process-independent rating of the processability in terms of tensile strength for different materials.}}, author = {{Schumacher, C. and Schöppner, Volker and Guntermann, J.}}, booktitle = {{28th Annual International Solid Freeform Fabrication Symposium}}, pages = {{470--484}}, title = {{{Considering machine- and process-specific influences to create custom-built specimens for the Fused Deposition Modeling process}}}, doi = {{http://utw10945.utweb.utexas.edu/sites/default/files/2017/Manuscripts/ConsideringMachineandProcessSpecificInfluenc.pdf}}, volume = {{28}}, year = {{2017}}, } @inproceedings{22045, abstract = {{A widely used Additive Manufacturing (AM) technology is Fused Deposition Modeling (FDM) to create prototypes and end-use parts with close-to-production thermoplastics. For their use as a final product, it is necessary that additively manufactured parts strictly adhere to the geometrical requirements of the technical drawing. In this paper, the holes and cylinders of the cylindrical elements are investigated in terms of achievable geometrical accuracy. For this purpose, different test specimens that allow a measurement of inner and outer diameters from 3 to 80 mm were designed. All specimens were measured with a coordinate measuring machine (CMM) to evaluate deviations from the nominal dimension and form deviations. The measuring method includes a scanning of the surface to record the course of dimensional deviations over the diameter. Thus, it was possible to visualize how deviations on cylindrical elements manufactured in FDM occur. In order to counteract these deviations and to improve the dimensional accuracy, different shrink factors and filling patterns were investigated. Consequently, an improvement of the dimensional accuracy was achieved.}}, author = {{Knoop, F. and Schöppner, Volker}}, booktitle = {{28th Annual International Solid Freeform Fabrication Symposium}}, pages = {{2757--2776}}, title = {{{Geometrical Accuracy of Holes and Cylinders Manufactured with Fused Deposition Modeling}}}, doi = {{http://utw10945.utweb.utexas.edu/sites/default/files/2017/Manuscripts/GeometricalAccuracyofHolesandCylindersManufa.pdf}}, volume = {{28}}, year = {{2017}}, } @article{22049, abstract = {{Um die Materialauswahl für den FDM-Prozess zu steigern, sollten die durch den FDM-Prozess an das Material gestellten Anforderungen bekannt sein. Dazu ist eine von der Maschine und der individuellen Datenaufbereitung möglichst unabhängige Bewertung der FDM-Verarbeitungseignung wünschenswert. In diesem Artikel werden eine Prüfmethode und ein dazu entwickelter Probekörper vorgestellt, mit dem die Schweißnahtfestigkeit verschiedener Polyamid 6 Typen im FDM-Prozess ermittelt und verglichen wird.}}, author = {{Schöppner, Volker and Schumacher, C. and Guntermann, J.}}, isbn = {{1618-8357}}, journal = {{Jahresmagazin Kunststofftechnik}}, number = {{1}}, pages = {{108--114}}, publisher = {{Institut für Wissenschaftliche Veröffentlichungen}}, title = {{{Beurteilung der Schweißnahtfestigkeiten verschiedener Kunststoffe im FDM-Prozess}}}, volume = {{1}}, year = {{2017}}, } @article{9514, author = {{Huang, Lingling and Song, Xu and Reineke, Bernhard and Li, Tianyou and Li, Xiaowei and Liu, Juan and Zhang, Shuang and Wang, Yongtian and Zentgraf, Thomas}}, issn = {{2330-4022}}, journal = {{ACS Photonics}}, pages = {{338--346}}, title = {{{Volumetric Generation of Optical Vortices with Metasurfaces}}}, doi = {{10.1021/acsphotonics.6b00808}}, year = {{2017}}, } @inbook{6255, author = {{Fischer, Holger Gerhard and Engler, Michael and Sauer, Stefan}}, booktitle = {{Design, User Experience, and Usability: Theory, Methodology, and Management}}, isbn = {{9783319586335}}, issn = {{0302-9743}}, location = {{Vancouver, Canada}}, pages = {{570--583}}, publisher = {{Springer International Publishing}}, title = {{{A Human-Centered Perspective on Software Quality: Acceptance Criteria for Work 4.0}}}, doi = {{10.1007/978-3-319-58634-2_42}}, volume = {{10288}}, year = {{2017}}, }