應用實驗設計方法探討射出成品內部比容差異 對於體積收縮之預測

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姓名

林彥宇(Yen-Yu Lin) 查詢紙本館藏

畢業系所

機械工程學系

論文名稱

應用實驗設計方法探討射出成品內部比容差異對於體積收縮之預測
(Applying experimental design to predict volumetric shrinkage of injection molded part by means of the specific volume difference)

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至系統瀏覽論文 (2025-12-1以後開放)

摘要(中)

本研究利用模內感測技術蒐集成型階段模內各處比容之間的差異作為反應值，並以實驗設計法之方式設定製程參數，建立參數與反應值間的關係。以感測器跟澆口之間的距離區分為近處、中間段以及遠處，蒐集三處的比容資料，計算比容值凝固時到平衡時的改變量用於預估體積收縮率；另一方面，取出三處凝固時的比容，透過公式來量化三處比容間的非均勻性，用作預估產品可能發生翹曲之指標數值。對於凝固時的比容取值方式，本研究不同於一般單看溫度或壓力來估計澆口凝固的方式，而是透過壓力曲線變化來找出三處感測點個別的凝固時間。將比容的改變量與非均勻性的組合作為反應值進行二階段實驗，先以田口法篩選重要因子，再利用反應曲面法建立數學模型。以料溫、模溫、射速、保壓壓力、保壓時間和冷卻時間作為實驗的六項因子，經過田口法實驗並分析結果後選出保壓壓力和保壓時間為最重要的兩項因子。接著將保壓改為三段，以三項保壓壓力和總保壓時間做四因子的反應曲面法實驗，得到的最佳組合預測值為0.0088 ，將最佳參數經過實驗驗證的結果為0.0086 ，預測誤差為2.3%。反應曲面法的中心點組別實驗結果為0.0125 ，優化結果與之相比改善了31.2%。顯示實驗設計法對於射出成型之非線性問題能得到有效的預測結果並改善產品品質特性。

摘要(英)

This study used the in-mold sensor to measure the specific volume difference in molding process as the response. The process parameters in experimental design were set to establish the relationship between the parameters and the response value.
The mold part was divided into three regions such as near, middle and far positions. The specific volume data at three positions were collected, and the variation of specific volume from freezing to equilibrium is used to estimate the volumetric shrinkage rate.
Additionally, the three positions were compared with one another. By measuring the specific volume of the three positions at freezing point, we can use the formula to quantify the non-uniformity of the specific volume, represents as an index value for predicting the possible warpage of the product.
Regarding the method of measuring the specific volume at freezing point, this study is different from the general method of estimating the freezing state of the gate through temperature or pressure. Instead, it finds the individual freezing point of the three sensing locations through the variation of pressure line.
The combination of the variation and the non-uniformity of specific volume is used as the response to conduct a two-stage experiment. First, Taguchi method is used to screen the important factors. After that, Response surface method is used to establish a mathematical model. The melt temperature, mold temperature, filling velocity, packing pressure, packing time and cooling time were selected as the control factors in the experiment. After Taguchi method experiment and analysis, packing pressure and packing time were selected as the two most significant factors.
Then adjust the packing pressure to three stages, and run a four-factor Response surface method experiment with packing pressure of three stages and total packing time. The best combination predict value is 0.0088 , and the best parameter set verified through experiment is 0.0086 , the error of prediction is 2.3%.
The experimental result of the center point group through Response surface method is 0.0125 , which is an improvement of 31.2% compared with the optimized result. Result shows that the experimental design method can effectively predict the nonlinear problem of injection molding and improve the product quality characteristics eventually.

關鍵字(中)

★ 射出成型
★ 收縮率
★ 田口法
★ 反應曲面法

關鍵字(英)

★ injection molding
★ shrinkage
★ Taguchi method
★ Response surface methodology (RSM)

論文目次

摘要 i
Abstract ii
致謝 iv
目錄 v
圖目錄 viii
表目錄 x
第1章、緒論 1
1-1 前言 1
1-2 文獻回顧 2
1-3 研究動機 5
1-4 研究目的 5
1-5 研究架構 6
第2章、基本原理與理論模式 8
2-1 射出成型原理 8
2-2 收縮與翹曲預測原理 10
2-2-1 比容計算公式 12
2-2-2 收縮與翹曲預測公式 13
2-3 實驗設計法 14
2-4 田口法 15
2-4-1 田口直交表 16
2-4-2 訊噪比分析 17
2-4-3 變異分析 18
2-5 反應曲面法 19
2-5-1 反應曲面設計 20
2-5-2 建構迴歸模型 22
2-5-3 反應曲面最佳化 22
2-6 參數規劃 23
第3章、研究設備 26
3-1 製程設備 26
3-2 實驗材料 34
3-3 量測設備 36
3-4 資料處理工具 40
3-5 實驗設計軟體 40
第4章、結果與討論 45
4-1 凝固時間點實驗 45
4-2 田口法實驗結果 52
4-3 反應曲面法實驗結果 54
第5章、結論與未來展望 60
5-1 結論 60
5-2 未來展望 61
參考文獻 62

參考文獻

[1] P. Zhao et al., "Intelligent Injection Molding on Sensing, Optimization, and Control," Advances in Polymer Technology, vol. 2020, p. 7023616, 2020/03/31 2020.
[2] Y.-H. Chang, T. H. Wei, S.-C. Chen, and Y. F. Lou, "The investigation on PVT control method establishment for scientific injection molding parameter setting and its quality control," Polymer Engineering & Science, vol. 60, 09/01 2020.
[3] C. Greene and D. Heaney, "The PVT effect on the final sintered dimensions of powder injection molded components," Materials & Design - MATER DESIGN, vol. 28, pp. 95-100, 12/31 2007.
[4] J. Wang, J. Peng, and W. Yang, "Filling-To-Packing Switchover Mode Based on Cavity Temperature for Injection Molding," Polymer-Plastics Technology and Engineering, vol. 50, no. 12, pp. 1273-1280, 2011/08/01 2011.
[5] J. Wang and Q. Mao, "A Novel Process Control Methodology Based on the PVT Behavior of Polymer for Injection Molding," Advances in Polymer Technology, vol. 32, 03/01 2013.
[6] M. A. Barghash and F. A. Alkaabneh, "Shrinkage and Warpage Detailed Analysis and Optimization for the Injection Molding Process Using Multistage Experimental Design," Quality Engineering, vol. 26, no. 3, pp. 319-334, 2014/07/03 2014.
[7] S. M. S. Mukras, H. M. Omar, and F. A. al-Mufadi, "Experimental-Based Multi-objective Optimization of Injection Molding Process Parameters," (in English), Arabian Journal for Science and Engineering, vol. 44, no. 9, pp. 7653-7665, Sep 2019.
[8] 紀博竣, "結合田口實驗法與反應曲面法於射出成型參數最適化之研究," 碩士, 機械工程系暨製造科技研究所, 建國科技大學, 彰化縣, 2013.
[9] 周文祥譯, C-MOLD射出成型模具設計. 文京圖書有限公司, 1999.
[10] 劉文斌. (2019) 塑膠材料的收縮與翹曲(一). SMART Molding Magazine.
[11] 劉文斌. (2019) 塑膠材料的收縮與翹曲(二). SMART Molding Magazine.
[12] M.-L. Wang, R.-Y. Chang, and C.-H. Hsu, Molding Simulation: Theory and Practice. Hanser, 2018.
[13] S. Rogelj and M. Krajnc, "Pressure and temperature behavior of thermoplastic polymer melts during high‐pressure expansion injection molding," Polymer Engineering & Science, vol. 48, pp. 1815-1823, 09/01 2008.
[14] N. Stanciu, F. Stan, and C. Fetecau, "Melt Shear Rheology and pVT Behavior of Polypropylene / Multi-Walled Carbon Nanotube Composites," Materiale Plastice, vol. 55, pp. 482-487, 12/30 2018.
[15] R. Y. Chang, C. H. Chen, and K. S. Su, "Modifying the Tait equation with cooling-rate effects to predict the pressure-volume-temperature behaviors of amorphous polymers: modeling and experiments," Polymer Engineering and Science, Article vol. 36, p. 1789, 1996.
[16] J. Antony, "Taguchi or classical design of experiments: a perspective from a practitioner," Sensor Review, vol. 26, no. 3, pp. 227-230, 2006.
[17] david4sankage. (2013). 田口式實驗計畫—直交表(Orthogonal Array, OA).
[18] 葉怡成, 實驗計畫法：製程與產品最佳化. 五南圖書出版股份有限公司, 2001.
[19] 李輝煌, 田口方法：品質設計的原理與實務. 高立圖書有限公司, 2008.
[20] 林李旺, 突破品質水準：實驗設計與田口方法之實務應用. 全華圖書股份有限公司, 2013.
[21] 陳夏宗、魏子翔、張詠翔、李名舜、范耀仁, "用高分子 PvT 特性的數值及實用方法以控制產品品質之研究," presented at the 國機械工程學會第三十五屆全國學術研討會, 國立中正大學, 2018.
[22] 張榮語, 射出成型模具設計操作實務(第三冊). 高立圖書有限公司, 1995.

[23] 台中精機. 台中精機射出成型機規格資訊. Available: https://www.victortaichung.com/injection-machines/tw/vsp-60-e.htm
[24] 潤輝科技有限公司. AO系列油式溫度控制機規格表. Available: http://www.a1-max.com.tw/t/pro_ao.htm#spec
[25] 晏邦電機工業有限公司. 料斗乾燥機 (HD/IHD/DHD). Available: https://www.yannbang.com/hopper-dryer-tw
[26] T. Ageyeva, S. Horváth, and J. Kovacs, "In-Mold Sensors for Injection Molding: On the Way to Industry 4.0," Sensors, vol. 19, p. 3551, 08/15 2019.
[27] D. Landgrebe et al., Sensorized Future - Sensing of temperature and pressure in harsh environments: Common report of the Cornet project "SensoFut". 2015.
[28] 双葉電子工業株式会社. 樹脂圧力計測システム. Available: http://www.futaba.co.jp/precision/mold_marshall/mps08s/index
[29] 双葉電子工業株式会社. 樹脂温度計測システム. Available: http://www.futaba.co.jp/precision/mold_marshall/temperature/index

指導教授

鍾禎元

審核日期

2021-11-12

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