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研究生:賴俊霖
研究生(外文):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
論文名稱(外文):Laser Transmission Welding of Polyamide 9T (PA9T) and Machine Learning Analysis of Its Processing Parameters
指導教授:何正榮
學位類別:碩士
校院名稱:國立中央大學
系所名稱:光機電工程研究所
學門:工程學門
學類:機械工程學類
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
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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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