臺灣博碩士論文加值系統

隨著工業技術的快速發展，而工具機產業邁向高精度、高效能與高自動化，各種精密工件的需求量增加，而在工具機的誤差中熱誤差為影響加工精度的主要因素，故如何改善熱誤差為工具機技術的重要突破。
工具機內部中的結構與零件複雜，當再高速運轉時會產生高溫，而溫度會藉由熱傳導至周邊的結構，進而影響到加工精度。本研究以建立完整的熱誤差修正模型為目標，對百德多面五軸加工機發展一套溫度與位移之擷取系統，並透過空切削持續運轉實驗中，收集溫度與位移數據，在使用類神經網路建立熱誤差修正模型，最後將進行實際切削藉此驗證所建立模型之可行性。
由兩個驗證結果得知，在第一驗證實驗中未修正的誤差高達-32um，在經過修正後之誤差為-4um，共減少了28um。在第二驗證實驗中，經過後修正可以改善切削不穩定的狀況。

With the rapid development of industrial technology, and the machine tool industry is moving towards high precision, high efficiency and high automation, the demand for various precision workpieces has increased. However, thermal error in the machine tool error is the main factor affecting machining accuracy. The improvement of thermal error is an important breakthrough in machine tool technology.
The structure and parts in the interior of the machine tool are complex, and when it is operated at a high speed, it will generate high temperature, and the temperature will be transferred to the surrounding structure through heat, thereby affecting the machining accuracy. This study aims to establish a complete thermal error correction model and develop a set of temperature and displacement capture systems for the quaser five-axis machine. Through the continuous operation of the air-cutting test, temperature and displacement data are collected. The neural network establishes the thermal error correction model. Finally, actual cutting will be performed to verify the feasibility of the established model.
From the results of the two verifications, the uncorrected error in the first verification experiment was as high as -32 μm, and the error after correction was -4 um, a total reduction of 28 um. In the second verification experiment can improve the conditions of cutting instability

摘要...............i
Abstract...............ii
Acknowledgment...............iv
Table of Contents...............v
List of Tables...............vii
List of Figures...............viii
Chapter 1 Introduction...............1
1.1 Research Background...............1
1.2 Research motivation and purpose...............2
1.3 Literature Review...............3
1.4 The structure of this study...............8
Chapter 2 Thermal Error of CNC Machine Tool...............9
2.1 Causes of thermal error of machine tool.....10
2.2 Thermal Error type...............11
2.2.1 Linear thermal expansion...............11
2.2.2 Bending thermal expansion (fixe type)...............11
2.2.3 Bending thermal expansion (free type)...............12
2.3 Corrections of thermal error...............13
2.3.1 Symmetrical structure design...............13
2.3.2 Heat source suppression...............13
2.3.3 Temperature control...............14
2.3.4 Thermal error correction...............14
Chapter 3 Structure of Thermal Error Correction Model..........15
3.1 Establish a thermal error model...............16
3.1.1 Back-propagation Neural Network...............17
3.1.2 Thermal error modeling experiment...............23
Chapter 4 Verification of Thermal Error Correction Model.......27
4.1 Experiment setup...............28
4.1.1 Temperature sensor...............28
4.1.2 Displacement sensor...............30
4.1.3 Experiment machine...............31
4.1.4 Cutting path...............32
4.1.5 Hardware correction...............34
4.2 Modeling verification...............35
4.3 Experimental verification analysis...............37
Chapter 5 Conclusions and Future Works...............51
References...............52

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