2016
Schmidt, Carsten; Weber, Patricc; Völtzer, Klaas; Deniz, Onur
Self-Configurable Production of CFRP Aerospace Components Based on Multi-Criteria Structural Optimization Proceedings Article
In: CFK-Valley Convention, 2016.
Abstract | BibTeX | Schlagwörter: Composite Structures, Industry 4.0, Self Configurable Production
@inproceedings{Schmidt2016,
title = {Self-Configurable Production of CFRP Aerospace Components Based on Multi-Criteria Structural Optimization },
author = {Carsten Schmidt and Patricc Weber and Klaas Völtzer and Onur Deniz},
year = {2016},
date = {2016-06-17},
booktitle = {CFK-Valley Convention},
abstract = {Increased utilization of composite materials in a wide range of applications and industries due to their specific properties such as strength-to weight ratio, damage tolerance, reduced maintenance costs and flexibility let to advanced requirements on production methodologies and increased demands on lightweight construction. To be well prepared for tomorrow´s market, lightweight industries must be able to response quickly to customer needs as well as controlling costs and manufacturing quality. Accompanying challenges of manufacturing individually designed lightweight components with predominantly small lot sizes have to be met with flexible production systems in a quick reconfigurable production environment. Process reliability particularly in single part production is a big challenge. To minimize the risk associated therewith, criteria like component producibility already have to be considered in the design phase and monitoring of the manufacturing process becomes more relevant to ensure desired material properties.
Within the interdisciplinary research project “High Performance Production of CFRP-Structures” (HP CFK), a generic approach for simultaneously developing lightweight aerospace components, automated fiber placement system and processes is developed. This presentation introduces the new multicriteria optimization framework that efficiently involves corresponding manufacturing analysis of developed aerospace composite structures with respect to production costs, producibility and material characteristics. In addition, a newly developed reconfigurable automated fiber placement system with adaptive force controlled compaction unit, whose technical characteristics are represented within the optimization framework, and an online thermal imaging system for monitoring fiber placement manufacturing processes are presented. It is shown, how component topologies easily improve and adapt themselves to the corresponding production technology due to returned process knowledge and manufacturing restrictions and hereby avoiding time consuming redesign iterations. The coupling of optimization framework and manufacturing system lead to a self-configuration of automated fiber placement processes and an individually parametrization of the monitoring system for part specific online quality control.
},
keywords = {Composite Structures, Industry 4.0, Self Configurable Production},
pubstate = {published},
tppubtype = {inproceedings}
}
Increased utilization of composite materials in a wide range of applications and industries due to their specific properties such as strength-to weight ratio, damage tolerance, reduced maintenance costs and flexibility let to advanced requirements on production methodologies and increased demands on lightweight construction. To be well prepared for tomorrow´s market, lightweight industries must be able to response quickly to customer needs as well as controlling costs and manufacturing quality. Accompanying challenges of manufacturing individually designed lightweight components with predominantly small lot sizes have to be met with flexible production systems in a quick reconfigurable production environment. Process reliability particularly in single part production is a big challenge. To minimize the risk associated therewith, criteria like component producibility already have to be considered in the design phase and monitoring of the manufacturing process becomes more relevant to ensure desired material properties.
Within the interdisciplinary research project “High Performance Production of CFRP-Structures” (HP CFK), a generic approach for simultaneously developing lightweight aerospace components, automated fiber placement system and processes is developed. This presentation introduces the new multicriteria optimization framework that efficiently involves corresponding manufacturing analysis of developed aerospace composite structures with respect to production costs, producibility and material characteristics. In addition, a newly developed reconfigurable automated fiber placement system with adaptive force controlled compaction unit, whose technical characteristics are represented within the optimization framework, and an online thermal imaging system for monitoring fiber placement manufacturing processes are presented. It is shown, how component topologies easily improve and adapt themselves to the corresponding production technology due to returned process knowledge and manufacturing restrictions and hereby avoiding time consuming redesign iterations. The coupling of optimization framework and manufacturing system lead to a self-configuration of automated fiber placement processes and an individually parametrization of the monitoring system for part specific online quality control.
Within the interdisciplinary research project “High Performance Production of CFRP-Structures” (HP CFK), a generic approach for simultaneously developing lightweight aerospace components, automated fiber placement system and processes is developed. This presentation introduces the new multicriteria optimization framework that efficiently involves corresponding manufacturing analysis of developed aerospace composite structures with respect to production costs, producibility and material characteristics. In addition, a newly developed reconfigurable automated fiber placement system with adaptive force controlled compaction unit, whose technical characteristics are represented within the optimization framework, and an online thermal imaging system for monitoring fiber placement manufacturing processes are presented. It is shown, how component topologies easily improve and adapt themselves to the corresponding production technology due to returned process knowledge and manufacturing restrictions and hereby avoiding time consuming redesign iterations. The coupling of optimization framework and manufacturing system lead to a self-configuration of automated fiber placement processes and an individually parametrization of the monitoring system for part specific online quality control.