Integration and Parametric Design Optimization of Precision Polishing Systems(III)

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基本資料

Project title

Code/計畫編號

NSC89-2218-E019-009

Translated Name/計畫中文名

薄板工件之整合精密拋光系統研究---子計畫一：精密拋光系統之整合與參數設計最佳化(III)

Project Coordinator/計畫主持人

Chang-Pin Lin

Funding Organization/主管機關

National Science and Technology Council

Department/Unit

Department of Mechanical and Mechatronic Engineering

Website

https://www.grb.gov.tw/search/planDetail?id=573611

Year

2000

Start date/計畫起

01-08-2000

Expected Completion/計畫迄

01-07-2001

Bugetid/研究經費

379千元

ResearchField/研究領域

自動化工程(工)

有鑑於製造系統自動化與整合之重要性，本子計畫之目的有二：一、配合總計畫建立一整合型之精密拋光系統，包含：產品設計子系統、工程分析子系統、製程規劃子系統、物料規劃及生產排程子系統，並結合一產品資料管理子系統及適當之軟硬體介面來控制及運作本計畫中所設計發展出之精密拋光工具機。二、製造系統中參數設計之最佳化法分析，尤其著重在各項加工參數之最佳化。本子計畫之第一年計畫包括：一、整合上述除拋光機台外之各項子系統及相關之周邊介面環境，並配合其他軟硬體設計；二、將類神經網路、模糊理論及遺傳演算法應用在參數最佳化之數學模式推演與程式設計，並利用現有之數值控制工具機模擬及驗証其準確性及可靠性。第二年期計畫將延續第一年計畫及利用其研究成果，將完成包含機台之系統整合及將遺傳演算法實際應用在精密拋光加工參數之最佳化。而在第三年計畫中完成整合系統之介面程式並完成精密拋光加工參數最佳化之測試，以及探討系統之穩定性。Due to the increasing importance of manufacturing system automation and integration,this sub-project under the integrated project concentrates on two objectives: 1. Building an integrated precision polishing system environment which includes: product design module, process planning module, material planning module, production scheduling module, product data management module, and the machine center under developed in the other sub-project. 2. Parametric optimization for any module listed above, especially the machining process parameters' optimization. This is a three-year project, the first year focuses on integrating all the automated modules except the under developing polisher. In addition, the Artificial Neural Network, Fuzzy Theory and Genetic Algorithm for machine learning and optimization will be studied and their application to parametric optimization will be the focal point. In the second year, we will continue the integration process to involve the developing precision polisher and all the necessary software and hardware. Also we will apply the model identification and optimization formulation developed in the first year. Finally, in the third year, the whole system will under heavy test and the results will be used to adjust both the system parameters of the polisher and the processing parameters.

DSpace CRIS

Integration and Parametric Design Optimization of Precision Polishing Systems(III)

基本資料

Description