Title

整合田口式實驗計畫法與灰關聯分析於快速原型製程最優化研究

Translated Titles

Optimizing the Rapid Prototyping Process by Integrating the Taguchi Method with Gray Relation Analysis

DOI

10.6378/JTM.200512.0111

Authors

王則眾(Che-Chung Wang);林大維(Ta-Wei Lin)

Key Words

田口式實驗計畫法 ; 灰關聯分析 ; 快速原型 ; TOPSIS評估法 ; Taguchi Method ; Gray Relation Analysis ; Rapid Prototyping ; TOPSIS Evaluation Method

PublicationName

科技管理學刊

Volume or Term/Year and Month of Publication

10卷4期(2005 / 12 / 01)

Page #

111 - 138

Content Language

繁體中文

Chinese Abstract

在市場演變快速的今日,產品有日趨少量多樣且更新週期趨短之特性,為能縮短研發時程且避免因設計錯誤而導致成本浪費,因此快速原型(Rapid Prototyping, RP)製造技術已漸漸被廣泛運用,惟RP仍受限於成品強度不良、表面粗糙度及尺寸精度不佳等問題點的限制,故本研究將針對熔融沈積成型之快速原型系統技術之參數最佳化及多重成型品質最優化研究。 本研究初期選用田口式實驗計畫法,規劃快速原型之成型參數和該參數不同的水準條件,探討抗拉強度、尺寸精度及表面粗糙度等成型特性,經由變異數分析(ANOVS)與貢獻度的推算,分別獲致單一成型品質特性之顯著成型參數與最優成型品質特性之參數組合條件;其次,將前階段之田口式實驗計畫法中單一成型特性數據轉化並賦予權重,後續再整合灰關聯分析而成為多重成型品質特性之評估值,進而獲致一最優化成型參數之組合設定;此外,分別以灰關聯分析與TOPSIS評估法驗證前述之最優化參數組合設定的正確性。 實驗結果顯示,藉由整合灰關聯分析與田口式實驗計畫法之分析模式,獲取多重成型品質最優參數組合條件的方法,並經TOPSIS評估法驗證,證明該模式可有效獲致快速原型之多重成型品質特性。

English Abstract

As the market changes at the increasingly rapid pace, the new products are developed quicker, the product cycles are shorter, and the production quantity is getting less. Great advantages are created as the new products are marketed faster with fewer designing errors and lower production costs. The Rapid Prototyping (RP) has been identified as one of the most potential techniques to deliver these advantages. However, the use of the RP systems is limited by the low product strength, the bad surface roughness and the high dimension errors. As this, this study focuses on optimizing the FDM process of the RP systems. The study on its early stage was based on the Taguchi method to establish the building factors of the rapid prototyping and the various levels of these factors. The ultimate tensile strength, the dimension accuracy and the surface roughness are analyzed. Through analysis of variance (ANOVA) and contribution approximation, the significant building factors of each quality feature and the feature combinations of each best quality feature are obtained. The following steps are setting weight for each quality feature of the previous Taguchi method, obtaining the estimated multiple building quality features through integrating the gray theory, and getting a set of the optimal building factors. Finally, the result is verified by the gray theory and the TOPSIS evaluation method. It is proved the optimal quality feature combinations of the multiple building factors can be obtained by integrating the gray theory and the Taguchi method. The result is further verified by the TOPSIS evaluation method, showing the model can get the multiple building quality features of the Rapid Prototyping.

Topic Category 社會科學 > 管理學
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