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利用ANSYS workbench多目標最佳化預測材料機械性質

Multi-objective Optimization Estimation of the Material Mechanical Properties by ANSYS Workbench

摘要


本研究利用有限元素ANSYS workbench多目標最佳化方法,進行物件模態分析結合實驗模態分析,進而預測材料機械性質。研究的過程以矩形碳鋼、高爾夫鐵桿球頭和木桿球頭為例,首先以實驗模態分析量測材料模態數據和頻率響應函數,再配合模態分析軟體ME'scope,進行模態振型之擬合,可以用來印證有限元素法模態振型的正確性。其次,設定材料機械性質之計算範圍,配合workbench多目標最佳化分析,利用實驗設計法,以非迭代直接取樣法的方式於哈默斯特抽樣的計算,並進行最佳化分析,藉由最佳化分析可預測出材料機械性質。結果顯示,經最佳化計算後,對單一材料所預測機械性質較為準確,且與理論值相比,整體誤差不超過2%,對於複合性材料誤差最大不超過6%。採用workbench之操作介面除了較傳統有限元素軟體ANSYS方便使用外,本研究方法亦可提供業界做材料判別之參考。

並列摘要


The study process of experimental measurement example that is one work piece of rectangle steels and golf hands of both type wooden and iron are used ,Firstly, The approach is based on experimental modal analysis to solve Modal data of mechanical. The frequency response function of mechanical is measured by Modal Analysis With the ME'scope of modal analysis software. and also adopted with ME'scope of modal analysis software to perform the modal shape, in order to identify reasonableness by finite element analysis of modal shape.Secondly, the set calculation of the mechanical properties of the material, with the workbench multi-objective optimization analysis, using the method of experimental design, non-iterative direct sampling in the calculation of the Hammersley algorithm, and optimization analysis, by optimization analysis can predict the material mechanical properties.The results showed that, after optimization calculation on a single material more accurately predict the mechanical properties, compared with the theoretical value, the overall error of less than 2%, the composite material error does not exceed 6%. Using the workbench operation interface in addition to more traditional finite element easy to use, this study can also provide the reference of the industry for material discrimination

被引用紀錄


林聖傑(2016)。應用CAE於迴轉式壓縮機之模型驗證與輔助噪音診斷〔碩士論文,國立屏東科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0042-1805201714163447

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