Model-based increase of flexibility and robustness of an aerodynamic part feeding system for high-performance assembly

基于模型提高高性能装配的空气动力零件供给系统的灵活性和稳健性

基本信息

项目摘要

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.
为了克服传统送料系统在送料性能、可靠性和灵活性方面的不足,IFA开发了一种气动零件送料系统。该系统的特点是其进给速度高达每分钟1,000个工件,并且具有很高的技术可用性。针对不同工件的零件进给系统的设置仅限于四个系统参数的适配。然而,确定最佳参数值非常耗时。因此,在以前的研究活动中,已经开发了遗传算法。该算法使零件进给系统能够自主地识别最佳参数值,并通过相应的硬件自动调整它们。因此,可以显著减少调整零件进给系统的时间。在随后的研究建议中,应通过适应遗传算法和零件进给系统来扩大待进给工件的范围,以满足日益增加的产品个性化的挑战。如今,不同工件几何形状的仿真需要在仿真模型中进行手动调整。这就需要有相应的仿真专家的存在。因此,目的是以使得能够模拟不同工件而不需要手动调整模拟的方式来扩展模拟模型。此外,仿真模型应扩展和优化的方式,其结果导致减少的时间,以确定最佳参数值在实践中。为了能够在不降低进给速度的情况下进给更宽范围的工件,遗传算法的最佳设置(例如,G.突变率或群体大小)应当被识别为待进给工件的特性的函数,并且应当开发当环境条件改变时重新参数化的经济触发。由此,待进给的工件的范围将由相关工件特性及其相关联的限制的目录来限定。

项目成果

期刊论文数量(5)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Extended Simulation Model For An Aerodynamic Feeding System
气动供料系统的扩展仿真模型
  • DOI:
    10.15488/11252
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 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
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:
  • 影响因子:
    0
  • 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
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
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Professor Dr.-Ing. Peter Nyhuis其他文献

Professor Dr.-Ing. Peter Nyhuis的其他文献

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{{ truncateString('Professor Dr.-Ing. Peter Nyhuis', 18)}}的其他基金

Systematic analysis of the effect of production planning and control processes on logistical objectives
系统分析生产计划和控制流程对物流目标的影响
  • 批准号:
    434659386
  • 财政年份:
    2020
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Development of an application-oriented tool for economical development to support companies in site and development planning in metropolitan regions ("TransferMetroPlant")
开发面向应用的经济发展工具,以支持公司在大都市区的选址和发展规划(“TransferMetroPlant”)
  • 批准号:
    439640382
  • 财政年份:
    2020
  • 资助金额:
    --
  • 项目类别:
    Research Grants (Transfer Project)
Logistical product portfolio assessment
物流产品组合评估
  • 批准号:
    423857520
  • 财政年份:
    2019
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Logistic-oriented order sequencing strategies for multistage productions
多阶段生产的面向物流的订单排序策略
  • 批准号:
    409759709
  • 财政年份:
    2018
  • 资助金额:
    --
  • 项目类别:
    Research Grants (Transfer Project)
Development of an integrated planning approach for corporate site selection and measure allocation for the improvement of location quality under consideration of dynamic location development in metropolitan areas (MetroPlant)
考虑大都市区的动态区位开发,制定企业选址和措施分配的综合规划方法,以提高区位质量(MetroPlant)
  • 批准号:
    377799823
  • 财政年份:
    2017
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Integrated model-based description of cause-effect relationships in intra-company supply chains
公司内部供应链中因果关系的基于集成模型的描述
  • 批准号:
    278399974
  • 财政年份:
    2015
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Model-based Redesign of Factories (ReFa)
基于模型的工厂重新设计 (ReFa)
  • 批准号:
    253072601
  • 财政年份:
    2014
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Development of model for planning and controlling of operations rooms
手术室规划和控制模型的开发
  • 批准号:
    233173840
  • 财政年份:
    2013
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Entwicklung einer modellbasierten Methodik zur Potenzialbewertung in der Distributionslogistik
开发基于模型的方法来评估分销物流的潜力
  • 批准号:
    213589455
  • 财政年份:
    2013
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Development of a quantitative impact model for calculating the schedule reliability of industrial manufacturing processes
开发用于计算工业制造过程进度可靠性的定量影响模型
  • 批准号:
    247646396
  • 财政年份:
    2013
  • 资助金额:
    --
  • 项目类别:
    Research Grants

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