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研究生:吳秩達
研究生(外文):WU, CHIH-TA
論文名稱:應用於三軸CNC工具機機電整合分析之結構模型縮減流程
論文名稱(外文):A Novel Structural Model Reducing Process Apply to A 3-axis CNC Machine Tool Mechatronic Analysis
指導教授:劉德騏
指導教授(外文):LIU, DE-SHIN
口試委員:林盛勇鄭仙志林派臣
口試委員(外文):LIN, SHEN-YUNGCHENG, HSIEN-CHIELIN, PAI-CHEN
口試日期:2018-07-19
學位類別:碩士
校院名稱:國立中正大學
系所名稱:前瞻製造系統碩士學位學程
學門:工程學門
學類:機械工程學類
論文種類:學術論文
論文出版年:2019
畢業學年度:107
語文別:英文
論文頁數:51
中文關鍵詞:縮減模型狀態空間機電整合
外文關鍵詞:Model order reductionstate-spacemechatronics
IG URL:dada5dada
Facebook:https://www.facebook.com/jacob.wu.3382
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現今機電整合分析在工業機械設計逐漸成為趨勢。為了能夠高速分析一個新的機台設計,縮減模型逐漸成為一項趨勢。在眾多的縮減方法之中,以狀態空間法為基底建立的模型非常善於處理多進多出以及線性時變的系統。而這類的系統也很常見於機電整合系統。過去有些文章提出基於有限元素模型或是實驗數據建立的縮減模型,然而這些方法在建模與後續應用的效率上仍有進步的空間。一旦知道了足以描述系統特性的最少運動自由度,我們就可以用更簡單的方式來建立縮減模型。在這篇論文我們將提出一個流程來建立三軸CNC工具機的狀態空間縮減模型,並且佐以模擬與實驗驗證其可靠性。這個流程能夠透過省略建立有限元素模型來加速建立機電整合模型與參數最佳化的過程。
Increase use of mechatronic analysis has been a trend of machine design in industry. In order to rapidly simulate the performance of a new design, a reduced model is widely considered. Among the many methods that have been proposed, the state-space based system is good at dealing with a multiple-input-multiple-output (MIMO) and linear time-invariant (LTI) system, which is common in mechatronic systems. Some researches propose methods for building the reduced model from a finite element (FE) model or experimental data. However, once we know the minimum degrees of freedom (DOF) that the reduced model needs, we could find an easier way to model it. In this thesis, we propose a process to build the reduced model for a 3-axis CNC machine tool including model validation. This model is represented in state-space form and constrained in a given DOF. With its low DOF, however, it can still analyze the relative error between tool center point (TCP) and working table. This process accelerates the modeling and optimization by eliminating FEM.
Acknowledgement III
摘要 V
Abstract VII
Index IX
Table of contents XII
List of figures XII
List of tables XIII
Notations and abbreviations XV
Notations XV
Abbreviations XVIII
Chapter 1 Introduction 1
Chapter 2 Model order reduction (MOR) 5
2.1 Top-down approaches 6
2.2 Bottom-up approaches 7
2.3 State-space model 9
2.4 Summary 9
Chapter 3 Preliminaries 11
3.1 Iterative closest point 11
3.1.1 Closest points 12
3.1.2 Corresponding registration 12
3.2 State-space formulation for structural dynamics 13
3.3 Mechatronics system 15
3.4 Experimental modal analysis (EMA) 16
3.5 Modal assurance criterion (MAC) 17
Chapter 4 Proposed process 19
4.1 Structural model construction 19
4.1.1 Modal information obtaining 20
4.1.2 Least DOF picking 20
4.1.3 State-space model establishing 26
4.2 Mechatronics system 26
4.3 Vertical machine center model constructing 27
Chapter 5 Model validation 35
5.1 Position analysis 35
5.2 Modal analysis 40
5.3 Computational complexity 41
5.3.1 MOR for ANSYS 41
5.3.2 Proposed process 42
5.4 Conclusion 44
Chapter 6 Summary and future works 47
6.1 Summary 47
6.2 Future works 48
References 49

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