結合多項式網路與基因遺傳演算法於按鍵橡膠彈片外型尺寸最佳化

Shape Optimization of rubber dome of key shell Fragment Using Polynomial Network and Genetic Algorithm

陳宏明(Hung-Ming Chen)

指導教授 ： 吳俊瑩

大同大學/工程學院/機械工程學系所/碩士(2006年)

摘要

Silicon Rubber之特性屬於彈性體(elastic)，當其受壓後開始運動之行為屬於幾何非線性狀態，而按鍵橡膠彈片便是以此種材料製作，因為產品屬於大變形、非線性的應變-位移關係。加上最後產品壓扁後出現了接觸行為產生，所以於分析過程中都必須考量。
本研究結合幾何模型、有限元素分析與最佳化的方法，建構一套電腦輔助設計程序，透過商用軟體ANASYS的分析功能，並結合多項式網路(Polynomial Network)及遺傳演算法（genetic algorithm）進行按鍵橡膠彈片最佳化設計，試圖於產品設計限制中找出可以承受的最小等效應力尺寸。
由研究結果得知，在產品設計限制下，利用有限元素法分析外型尺寸與等效應力關係，再結合多項式網路及基因演算法，可以得到最小等效應力的最佳化外型尺寸，再經由開模前的模擬分析，可以有效減少開發時間，加速產品開發與降低錯誤率，更可以大大降低開發所需費用。

關鍵字

演算法 ； 非線性 ； 錯誤率 ； 多項式 ； 受壓

並列摘要

Silicon rubber is an elastic material. The key rubber shell fragment is made of this kind of material. Due to this product have relation between large deformation and non-linear . It will reshape massively, and non-linearly and eventually have behavior of contacting object while receiving pressure. That is very important for analysis in product design domain.
This research incorporates analysis three analysis method, geometrical model, finite element and optimal design , and establishes a procedure of CAE for optimal shape design. By using analytic functions of ANASYS and integrating Polynomial Network Genetic algorithm ,we can determine the optimal dimension of rubber dome with minimum von mises stress.
From the research , we can find out the optimal shape-design with minimum von mises stress , by using integrating Polynomial Network and Genetic algorithm . Through the above simulation, we can shorten development cycle time, speed up time to market and reduce failure cost.

並列關鍵字

Polynomial Network ； Genetic algorithm ； design

參考文獻

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