Algorithm-based Verification of Manufacturing Constraints for a Loadpath Reinforced Fabric
Lightweight construction has become increasingly important in recent decades. The fundamental idea of lightweight design is not to save weight at any price, but to use resources responsibly. Less waste and the right material in the right place can save costs and reduce energy consumption. Lightweigh...
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| Published in: | Procedia CIRP Vol. 85; pp. 347 - 352 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
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Elsevier B.V
01.01.2019
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| ISSN: | 2212-8271, 2212-8271 |
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| Abstract | Lightweight construction has become increasingly important in recent decades. The fundamental idea of lightweight design is not to save weight at any price, but to use resources responsibly. Less waste and the right material in the right place can save costs and reduce energy consumption. Lightweight construction often increases design complexity. Algorithms can help to solve highly complicated design tasks effectively. This paper shows how load paths can be used to reinforce a component optimally. The load path method is an efficient way of structural reinforcement. It also fits perfectly to a new manufacturing method which will be shortly discussed: A textile machine for biaxial NCF (non crimp fabrics) with a special unit for offsetting warps of carbon fibers. This novel technology allows the reinforcing material to be placed at exactly the right place at high production speeds. The base material can be a cheaper fiber, such as glass fiber, the local reinforcement material can be a high performance fiber, such as carbon fiber. The manufacturing process is only considered to the extent that all relevant manufacturing restrictions can be extracted. Five key restrictions are being studied (e.g. minimal curvature radius or minimal and maximal stacking angle). All restriction can be broken down to geometrical information and formulated as various mathematical problems. These problems can be solved efficiently by known algorithms. |
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| AbstractList | Lightweight construction has become increasingly important in recent decades. The fundamental idea of lightweight design is not to save weight at any price, but to use resources responsibly. Less waste and the right material in the right place can save costs and reduce energy consumption. Lightweight construction often increases design complexity. Algorithms can help to solve highly complicated design tasks effectively. This paper shows how load paths can be used to reinforce a component optimally. The load path method is an efficient way of structural reinforcement. It also fits perfectly to a new manufacturing method which will be shortly discussed: A textile machine for biaxial NCF (non crimp fabrics) with a special unit for offsetting warps of carbon fibers. This novel technology allows the reinforcing material to be placed at exactly the right place at high production speeds. The base material can be a cheaper fiber, such as glass fiber, the local reinforcement material can be a high performance fiber, such as carbon fiber. The manufacturing process is only considered to the extent that all relevant manufacturing restrictions can be extracted. Five key restrictions are being studied (e.g. minimal curvature radius or minimal and maximal stacking angle). All restriction can be broken down to geometrical information and formulated as various mathematical problems. These problems can be solved efficiently by known algorithms. |
| Author | Gebhardt, Philipp Bätge, Tjard Türck, Eiko Vietor, Thomas |
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| Cites_doi | 10.1109/ISBI.2004.1398545 10.1007/978-3-319-67988-4_60 10.25080/TCWV9851 10.1016/S1359-835X(02)00044-1 |
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| Keywords | Tool path Manufacturing Composite Algorithm Optimization Restrictions |
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| References | Friedrich (bib0003) 2017 access Date: 2019-06-03. Wakeman, Manson (bib00011) 2005 Gebhardt, P., Türck, E., Vietor, T., 2018. A lean method for local patch reinforcement using principal stress lines, in: Advances in Structural and Multidisciplinary Optimization: Proceedings of the 12th World Congress of Structural and Multidisciplinary Optimization (WCSMO12), pp. 789–798. Oliphant (bib0008) 2006 Corouge, I., Gouttard, S., Gerig, G., 2004. Towards a shape model of white matter fiber bundles using diffusion tensor mri, in: 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro, pp. 344–347. Helms, O., 2016. Faserverbundleichtbau in der großserie: Chancen und herausforderungen für den produktentwickler. Entwerfen Entwickeln Er-leben 2016 - Beiträge zur virtuellen Produktentwicklung und Konstruktion-stechnik, 63–72. Weisstein, E.W., MathWorld–A Wolfram Web Resource. URL Bundesministerium für Umwelt, Naturschutz, B.u.R., 2014. Aktionspro-gramm Klimaschutz 2020. URL Hagberg, A.A., Schult, D.A., Swart, P.J., 2008. Exploring network structure, dynamics, and function using networkx, in: Proceedings of the 7th Python in Science Conference, pp. 11–15. Schnabel, Gries (bib0009) 2011 Gabriel, F., Nebel, D., Fürst, A., 2018. Automated continuous fabrication of load-path adapted terhmoplastic fiber prepregs, in: Conference: ECCM18 - 18th European Conference on Composite Materials. Bader (bib0001) 2002; 33 Bader (10.1016/j.procir.2019.10.010_bib0001) 2002; 33 10.1016/j.procir.2019.10.010_bib0002 Schnabel (10.1016/j.procir.2019.10.010_bib0009) 2011 Wakeman (10.1016/j.procir.2019.10.010_bib00011) 2005 Oliphant (10.1016/j.procir.2019.10.010_bib0008) 2006 Friedrich (10.1016/j.procir.2019.10.010_bib0003) 2017 10.1016/j.procir.2019.10.010_bib0007 10.1016/j.procir.2019.10.010_bib00012 10.1016/j.procir.2019.10.010_bib0006 10.1016/j.procir.2019.10.010_bib0005 10.1016/j.procir.2019.10.010_bib00010 10.1016/j.procir.2019.10.010_bib0004 |
| References_xml | – reference: Bundesministerium für Umwelt, Naturschutz, B.u.R., 2014. Aktionspro-gramm Klimaschutz 2020. URL: – reference: Gabriel, F., Nebel, D., Fürst, A., 2018. Automated continuous fabrication of load-path adapted terhmoplastic fiber prepregs, in: Conference: ECCM18 - 18th European Conference on Composite Materials. – reference: Gebhardt, P., Türck, E., Vietor, T., 2018. A lean method for local patch reinforcement using principal stress lines, in: Advances in Structural and Multidisciplinary Optimization: Proceedings of the 12th World Congress of Structural and Multidisciplinary Optimization (WCSMO12), pp. 789–798. – start-page: 3 year: 2011 end-page: 41 ident: bib0009 publication-title: Production of non-crimp fabrics for composites, in: Non-Crimp Fabric Composites – year: 2006 ident: bib0008 publication-title: A Guide to NumPy. volume 1 – reference: Corouge, I., Gouttard, S., Gerig, G., 2004. Towards a shape model of white matter fiber bundles using diffusion tensor mri, in: 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro, pp. 344–347. – reference: Weisstein, E.W., MathWorld–A Wolfram Web Resource. URL: – reference: Helms, O., 2016. Faserverbundleichtbau in der großserie: Chancen und herausforderungen für den produktentwickler. Entwerfen Entwickeln Er-leben 2016 - Beiträge zur virtuellen Produktentwicklung und Konstruktion-stechnik, 63–72. – volume: 33 start-page: 913 year: 2002 end-page: 934 ident: bib0001 article-title: Selection of composite materials and manufacturing routes for cost-effective performance publication-title: Composites Part A: Applied Science and Manufacturing – reference: Hagberg, A.A., Schult, D.A., Swart, P.J., 2008. Exploring network structure, dynamics, and function using networkx, in: Proceedings of the 7th Python in Science Conference, pp. 11–15. – year: 2017 ident: bib0003 publication-title: Leichtbau in der Fahrzeugtechnik – reference: . access Date: 2019-06-03. – year: 2005 ident: bib00011 publication-title: Cost analysis, in: Design and manufacture of textile composites – year: 2005 ident: 10.1016/j.procir.2019.10.010_bib00011 – ident: 10.1016/j.procir.2019.10.010_bib0002 doi: 10.1109/ISBI.2004.1398545 – start-page: 3 year: 2011 ident: 10.1016/j.procir.2019.10.010_bib0009 – ident: 10.1016/j.procir.2019.10.010_bib0004 – ident: 10.1016/j.procir.2019.10.010_bib0005 doi: 10.1007/978-3-319-67988-4_60 – ident: 10.1016/j.procir.2019.10.010_bib0006 doi: 10.25080/TCWV9851 – ident: 10.1016/j.procir.2019.10.010_bib00010 – ident: 10.1016/j.procir.2019.10.010_bib00012 – year: 2017 ident: 10.1016/j.procir.2019.10.010_bib0003 – ident: 10.1016/j.procir.2019.10.010_bib0007 – volume: 33 start-page: 913 year: 2002 ident: 10.1016/j.procir.2019.10.010_bib0001 article-title: Selection of composite materials and manufacturing routes for cost-effective performance publication-title: Composites Part A: Applied Science and Manufacturing doi: 10.1016/S1359-835X(02)00044-1 – year: 2006 ident: 10.1016/j.procir.2019.10.010_bib0008 |
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| Title | Algorithm-based Verification of Manufacturing Constraints for a Loadpath Reinforced Fabric |
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