Paper
1 October 2011 An optimal setup planning selection approach in a complex product machining process
Fang Zhu
Author Affiliations +
Proceedings Volume 8285, International Conference on Graphic and Image Processing (ICGIP 2011); 82853C (2011) https://doi.org/10.1117/12.914376
Event: 2011 International Conference on Graphic and Image Processing, 2011, Cairo, Egypt
Abstract
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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fang Zhu "An optimal setup planning selection approach in a complex product machining process", Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82853C (1 October 2011); https://doi.org/10.1117/12.914376
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KEYWORDS
Process modeling

Matrices

Fluorescence correlation spectroscopy

Kinematics

Berkelium

Chemical elements

Computer programming

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