聚酰胺(PA9T)之雷射穿透焊接及其加工參數之機器學習分析

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研究生：	賴俊霖 Chun-Lin Lai
論文名稱：	聚酰胺(PA9T)之雷射穿透焊接及其加工參數之機器學習分析 Laser Transmission Welding of Polyamide 9T (PA9T) and Machine Learning Analysis of Its Processing Parameters
指導教授：	何正榮
口試委員:
學位類別：	碩士 Master
系所名稱：	工學院 - 光機電工程研究所 Graduate Institute of Opto-mechatronics Engineering
論文出版年：	2020
畢業學年度：	108
語文別：	英文
論文頁數：	118
中文關鍵詞：	雷射、穿透焊接、PA9T
相關次數：	點閱：14 下載：0
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由於低吸水率，高尺寸穩定性和快速結晶特性，聚酰胺9T在塑膠加工業的應用上大有前景，尤其是電子產品中的絕緣體和包裝材料。本研究旨在探討其雷射焊接特性與雷射焊接參數之間的關係。首先，我們通過實驗研究了四個雷射加工參數，雷射功率、掃描速度、雷射頻率以及重複焊接次數對焊縫尺寸和焊接強度的影響。焊縫尺寸主要由焊道的寬度和深度來表示，而強度則基於剝離測量。結果顯示，隨著雷射功率和焊接次數的增加，焊道的尺寸和強度均增大。但是，過多的雷射能量會導致焊縫汽化，結果觀察到焊接強度的下降。研究的第二部分是通過機器學習獲得焊接性能與加工參數之間的關係。結果顯示，雷射功率是影響焊接強度的最重要因素。

Due to its low water absorption, high dimensional stability and fast crystallization, poly-amide 9T is a widely used plastic material, especially as an insulator or packaging material in electronics and optoelectronics. This study aims to explore the relationship between its laser welding characteristics and laser welding parameters. First, we conducted experiments to study the effects of four laser processing parameters: laser power, scanning speed, pulse frequency, and repetitive welding times on weld size and welding strength.
Weld size is mainly represented by the width and depth of the weld, while strength is based on the peeling measurements. Results showed that as laser power and number of repetitive welding times was increased, both weld size and strength were increased. However, excessive laser energy caused cause vaporization of the weld that degraded the polymer, and as a result, a decrease in weld strength was observed. The second part of this study is to obtain the relation-ship between the welding performance and the processing parameters through machine learning. The results showed that laser power was the most important factor affecting the strength of the weld.

國 立 中 央 大 學    i
中文摘要    iii
Abstract    iv
Contents    v
List of Figures    viii
List of Tables    xi
Chapter 1 Introduction    1
1-1 Plastics and Their Welding Technologies    1
1-2 Laser and Its Applications in Plastic Welding    2
1-3 Artificial neural network    3
1-4 Background and purpose of the study    6
Chapter 2 Literature review    7
2-1 Plastics    7
2-2 Welding    8
2-3 Laser welding    10
2-3-1 Development of laser welding    10
2-3-2 Laser welding technology    11
2-3-3 Laser transmission welding (LTW)    12
2-4 Artificial neural network    16
2-5 Summary    17
Chapter 3 Experimental details    19
3-1 Experiment procedure    19
3-2 Sample preparation    19
3-2-1 Materials    19
3-2-2 Laser setup    21
3-3 Characterizations    23
3-3-1 Welding width and welding depth    23
3-3-2 Peel off strength    24
3-4 Analysis    25
3-4-1 Artificial Neural network    25
3-4-2 Random forest [32]    32
3-4-3 Multiple regression analysis    37
3-5 Materials and equipment    38
3-5-1 Materials for experiments    38
3-5-2 Experimental apparatus    39
Chapter 4 Results and Discussion    40
4-1 Transmittance of PA9T    40
4-1-1 Temperature measurement    41
4-2 Characterizations of the weld    48
4-2-1 Welding width    49
4-2-2 Welding depth    58
4-2-3 Peel-off strength    67
4-3 MRA result    72
4-4 Random forest and ANN prediction result    74
Chapter 5 Conclusion    82
References    84
Attachment    87
碩士論文口試教授問題集    106


                                

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