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首页> 外文会议>International conference on graphic and image processing;ICGIP 2011 >An optimal setup planning selection approach in a complex product machining process
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An optimal setup planning selection approach in a complex product machining process

机译：复杂产品加工过程中的最佳设置计划选择方法

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摘要

Setup planning has very important influence on the product quality in a Complex Product Machining Process (CPMP). Part production in a CPMP involves multiple setup plans, which will lead into variation propagation and lead to extreme complexity in final product quality. Current approaches of setup planning in a CPMP are experience-based that lead to adopt higher machining process cost to ensure the final product quality, and most approaches are used for a single machining process. This work attempts to solve those challenging problems and aims to develop a method to obtain an optimal setup planning in a CPMP, which can satisfies the quality specifications and minimizes the expected value of the sum of machining costs. To this end, a machining process model is established to describe the variation propagation effect of setup plan throughout all stages in a CPMP firstly and then a quantitative setup plan evaluation methods driven by cost constraint is proposed to clarify what is optimality of setup plans. Based on the above procedures, an optimal setup planning is obtained through a dynamic programming solver. At last, a case study is provided to illustrate the validity and the significance of the proposed setup planning selective method.
机译：设置计划对复杂产品加工过程（CPMP）中的产品质量具有非常重要的影响。 CPMP中的零件生产涉及多个设置计划，这将导致变化传播，并导致最终产品质量极端复杂。 CPMP中当前的安装计划方法是基于经验的，这导致采用更高的加工过程成本来确保最终产品质量，并且大多数方法都用于单个加工过程。这项工作试图解决那些具有挑战性的问题，目的是开发一种方法来在CPMP中获得最佳的安装计划，该计划可以满足质量规格要求并最大程度地降低加工成本总和的期望值。为此，首先建立了一个加工过程模型，描述了CPMP中安装计划在各个阶段的变化传播效果，然后提出了一种受成本约束驱动的定量安装计划评估方法，以阐明安装计划的最优性。基于上述过程，可通过动态编程求解器获得最佳的安装计划。最后，提供了一个案例研究来说明所提出的安装计划选择方法的有效性和重要性。

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