Approaching the Dilemma between Plan and Value in Computer Aided Engineering of Production Machines

Approaching the Dilemma between Plan and Value in Computer Aided Engineering of Production Machines
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探讨生产机器计算机辅助工程中计划与价值之间的困境

DOI:
10.1016/j.procir.2016.01.017
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发表时间:
2015
期刊:
Procedia CIRP
影响因子:
--
通讯作者:
Brecher
Brecher
中科院分区:
--
文献类型:
--
作者:
Özdemir;Brecher

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今天,制造商并没有充分利用计算机辅助工程(CAE)的潜力来设计机床和生产机器。驱动系统和其他机器部件的通用设计工具建立在代数系统描述之上。然而,动态质量标准对可实现的准确性和生产率有重大影响,不能用纯粹的代数描述来评估。通常,动态准则可以被纳入控制工程中的面向信号的模型中,但建模过程耗时、知识密集且模型的可重用性有限。本文提出了一种方法,以简化优化的机器部件,如进给驱动,同时考虑到动态质量标准。该方法基于面向对象和组件的建模语言Modelica。为了在有限的专家知识下快速开发模型,将模型集成到一个可扩展的模型库中。现代数学优化方法支持对系统组件和参数的组合进行系统搜索,以考虑已定义的质量标准。因此,不同的设计方案可以快速分析和比较。
Today, manufacturers do not fully leverage the potential of Computer Aided Engineering (CAE) for the design of machine tools and production machines. Common design tools for drive systems and other machine components build on an algebraic system description. However, dynamic quality criteria that have a significant impact on the achievable accuracy and productivity cannot be evaluated with purely algebraic descriptions. Generally, dynamic criteria can be incorporated in signal-oriented models from control engineering, but the modeling process is time-consuming, knowledge-intensive and the reusability of models is limited. This paper presents a methodology to simplify the optimization of machine components, such as feed drives, while taking dynamic quality criteria into account. The method is based on the object- and component-oriented modeling language Modelica. For the quick development of models with limited expert-knowledge the models are integrated in an extensible model library. Modern mathematical optimization methods support the systematic search for a combination of system components and parameters with regards to the defined quality criteria. Therefore different design alternatives can quickly be analyzed and compared.
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