at Google ScholarTitle data
Kübler, Frank ; Böhner, Johannes ; Steinhilper, Rolf:
Resource efficiency optimization of manufacturing processes using evolutionary computation : a turning case.
In: Procedia CIRP.
Vol. 29
(2015)
.
- pp. 822-827.
ISSN 2212-8271
DOI: https://doi.org/10.1016/j.procir.2015.02.208
Abstract in another language
Most resource efficiency optimization measures being discussed in resent publications focus on component downsizing and adaptive control of components regarding the standard ISO 14955. Optimization of discrete manufacturing process parameter is a further approach to reduce resource consumption during operation. This paper presents a meta heuristic genetic algorithm approach which has been used to determine a pareto front of feasible machining parameter. The pareto front is used to select optimal solutions for the resource consumption integrated multi-dimensional optimization task. The results are presented for a turning process with respect to resource consumption, machining time and machining cost under product quality constrains and machine performance limits.
Further data
| Item Type: | Article in a journal |
|---|---|
| Refereed: | Yes |
| Institutions of the University: | Faculties > Faculty of Engineering Science > Chair Manufacturing and Remanufacturing Technology Faculties > Faculty of Engineering Science > Former Professors > Chair Manufacturing and Remanufacturing Technology - Univ.-Prof. Dr.-Ing. Rolf Steinhilper Research Institutions > Affiliated Institutes > Fraunhofer-Projectgroup Processinnovation Faculties Faculties > Faculty of Engineering Science Research Institutions Research Institutions > Affiliated Institutes Faculties > Faculty of Engineering Science > Former Professors |
| Result of work at the UBT: | Yes |
| DDC Subjects: | 600 Technology, medicine, applied sciences > 620 Engineering |
| Date Deposited: | 30 Sep 2016 06:53 |
| Last Modified: | 30 Sep 2016 06:53 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/31233 |