Model-based increase of flexibility and robustness of an aerodynamic part feeding system for high-performance assembly
Model-based increase of flexibility and robustness of an aerodynamic part feeding system for high-performance assembly
批准号:
243351293
负责人:
Professor Dr.-Ing. Peter Nyhuis
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
2013
资助国家:
德国
项目状态:
已结题
起止时间:
2012-12-31 至 2020-12-31
中文摘要
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英文摘要
To counter existing deficits of conventional feeding systems regarding feeding performance, reliability and variant flexibility, an aerodynamic part feeding system has been developed at the IFA. This system is particularly characterized by its feeding rate of up to 1,000 workpieces per minute and its high technical availability. The setting-up of the part feeding system to different workpieces is limited to the adaption of only four system parameters. However, the identification of optimal parameter values was very time-consuming. In previous research activities, therefore, a genetic algorithm has been developed. This algorithm enables the part feeding system to autonomously identify optimal parameter values and to adjust them automatically via corresponding hardware. As a consequence, the time to adjust the part feeding system could be reduced significantly. In this subsequent research proposal, the spectrum of workpieces to be feeded should be expanded by adapting the genetic algorithm and the part feeding system in order to meet the challenges of increasing product individualization. Nowadays, the simulation of different workpiece geometries necessitates manual adjustments in the simulation model. This requires the existence of corresponding simulation experts. Therefore, an aim is to extend the simulation model in a way that enables the simulation of different workpieces without the need to adjust the simulation manually. Furthermore, the simulation model should be extended and optimized in a way that its results lead to a reduction of time to identify optimal parameter values in practice. For being able to feed a wider spectrum of workpieces without decreasing the feeding rate, optimal settings of the genetic algorithm (e. g. mutation rate or population size) should be identified as a function of the characteristics of the workpieces to be feeded and an economic triggering of a reparameterization when ambient conditions change should be developed. Thereby, the spectrum of workpieces to be feeded is to be defined by a catalog of relevant workpiece characteristics and their associated limits.
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DOI:
10.15488/11252
发表时间:
2021
期刊:
影响因子:
--
作者:
[T. Kolditz, J. Hentschel, F. Katz, A. Raatz]
通讯作者:
A. Raatz
Correlation between Geometric Component Properties and Physical Parameters of an Aerodynamic Feeding System
气动供料系统几何部件属性与物理参数之间的相关性
DOI:
10.1007/978-3-662-61755-7_30
发表时间:
2020
期刊:
Annals of Scientific Society for Assembly, Handling and Industrial Robotics
影响因子:
--
作者:
[T. Kolditz, M. Wolf, A. Raatz]
通讯作者:
A. Raatz
Batch time optimization for an aerodynamic feeding system under changing ambient conditions
不断变化的环境条件下气动供料系统的批量时间优化
DOI:
10.1016/j.procir.2020.05.238
发表时间:
2021
期刊:
Procedia CIRP
影响因子:
--
作者:
[T. Kolditz, N. Rochow, P. Nyhuis, A. Raatz]
通讯作者:
A. Raatz
Flexible Aerodynamic Part Feeding Using High-Speed Image Processing
使用高速图像处理实现灵活的空气动力零件进给
DOI:
10.1007/978-3-030-78424-9_45
发表时间:
2021
期刊:
Lecture Notes in Production Engineering
影响因子:
--
作者:
[T. Kolditz, P. Müller, D. Bansmann, A. Raatz]
通讯作者:
A. Raatz
Investigation on the Convergence of the Genetic Algorithm of an Aerodynamic Feeding System Due to the Enlargement of the Solution Space
气动供料系统遗传算法因解空间扩大而收敛的研究
DOI:
10.1007/978-3-030-72632-4_5
发表时间:
2021
期刊:
IFIP Advances in Information and Communication Technology
影响因子:
--
作者:
[T. Kolditz, C.-V. Ince, A. Raatz]
通讯作者:
A. Raatz
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