簡易檢索 / 詳目顯示

回結果列表
研究生： 張晨翔
Chang, Chen-Hsiang
論文名稱： 模外感測器應用於科學化試模與自適應品質控制
Scientific Molding and Adaptive Process Quality Control with External Sensors for Injection Molding Process
指導教授： 黃聖杰
Hwang, Sheng-Jye
學位類別： 碩士
Master
系所名稱： 工學院 - 機械工程學系
Department of Mechanical Engineering
論文出版年： 2024
畢業學年度： 112
語文別： 中文
論文頁數： 159
中文關鍵詞： 射出成型 、模外感測器 、科學化試模 、線上品質因子 、自適應控制系統
外文關鍵詞： Injection molding process, External sensor, Scientific molding parameter setup, Online quality characteristic value, Adaptive process control system
相關次數： 點閱：76  下載：0 
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
    • 摘要 I Extended Abstract III 致謝 XXXV 目錄 XXXVII 表目錄 XL 圖目錄 XLII 符號說明 XLV 第一章、 緒論 1 1.1 前言 1 1.2 研究動機 2 1.3 文獻回顧 3 1.3.1 線上品質監控相關研究 5 1.3.2 科學化試模相關研究 6 1.3.3 自適應控制相關研究 8 1.4 研究目的 10 1.5 文章架構 13 第二章、 理論背景 15 2.1 射出成型流程 15 2.2 P-V-T關係 18 2.3 塑膠材料黏度關係 19 2.4 射嘴壓力曲線 22 2.5 鎖模力應變曲線 24 2.6 自適應控制 27 2.7 品質指標 29 第三章、 實驗設備介紹 30 3.1 實驗設備與材料 30 3.1.1 射出成型機 30 3.1.2 控制面板 32 3.1.3 實驗模具及產品 34 3.1.4 實驗材料 36 3.2 實驗量測系統 39 3.2.1 射嘴壓力感測器 40 3.2.2 應變感測器 42 3.2.3 Advantech資料擷取器 43 3.2.4 智慧監控程式 45 3.3 自適應控制系統 46 3.3.1 微控制器單元 47 第四章、 科學化試模流程實驗 49 4.1 射出速度優化實驗 51 4.1.1 射出速度優化實驗設計 51 4.1.2 射出速度優化實驗結果 53 4.2 V/P切換位置優化實驗 58 4.2.1 V/P切換位置優化實驗設計 58 4.2.2 V/P切換位置優化結果 60 4.3 保壓優化實驗 63 4.3.1 保壓優化實驗設計 63 4.3.2 保壓壓力優化實驗結果 65 4.3.3 保壓時間優化實驗結果 73 4.4 鎖模力優化實驗 78 4.4.1 鎖模力優化實驗設計 78 4.4.2 鎖模力優化實驗結果 80 第五章、 自適應控制實驗 84 5.1 自適應控制實驗設計 84 5.2自適應控制實驗結果 85 5.3 Beta site驗證實驗設計 91 5.4 Beta site驗證實驗結果 92 第六章、 結論與未來展望 98 6.1 結論 98 6.2 未來展望 101 參考文獻 103 索引 109

    [1] Chien-Jung Chen, Kuo-Tsai Wu, and Sheng-Jye Hwang, “Development of a servo-hydraulic system with a self-tuning fuzzy PID controller to simulate injection molding process,” Microsystem Technologies, Vol. 27, no. 4, pp. 1217-1238 (2018).
    [2] Chun-Ying Lin, Fang-Cheng Shen, Kuo-Tsai Wu, Huei-Huang Lee, and Sheng-Jye Hwang, “Injection Molding Process Control of Servo–Hydraulic System,” Applied Sciences, Vol. 10, no. 1 (2019).
    [3] Yi-Sheng Chen, Kuo-Tsai Wu, Ming-Hong Tsai, Sheng-Jye Hwang, Huei-Huang Lee, Hsin-Shu Peng, and Hsiao-Yeh Chu, “Adaptive process control of the changeover point for injection molding process,” Journal of Low Frequency Noise, Vibration and Active Control, Vol. 40, no. 1, pp. 383-394 (2019).
    [4] Ming-Hong Tsai, Jia-Chen Fan-Jiang, Guan-Yan Liou, Feng-Jung Cheng, Sheng-Jye Hwang, Hsin-Shu Peng, and Hsiao-Yeh Chu, “Development of an Online Quality Control System for Injection Molding Process,” Polymers, Vol. 14, no. 8, p. 1607 (2022).
    [5] Jia-Chen Fan-Jiang, Chi-Wei Su, Guan-Yan Liou, Sheng-Jye Hwang, Huei-Huang Lee, Hsin-Shu Peng, and Hsiao-Yeh Chu, “Study of an Online Monitoring Adaptive System for an Injection Molding Process Based on a Nozzle Pressure Curve,” Polymers, Vol. 13, no. 4, p. 555 (2021).
    [6] Chi-Wei Su, Wei-Jie Su, Feng-Jung Cheng, Guan-Yan Liou, Sheng-Jye Hwang, Hsin-Shu Peng, and Hsiao-Yeh Chu, “Optimization process parameters and adaptive quality monitoring injection molding process for materials with different viscosity,” Polymer Testing, Vol. 109, p. 107526 (2022).
    [7] Guan-Yan Liou, Wei-Jie Su, Feng-Jung Cheng, Chen-Hsiang Chang, Ren-Ho Tseng, Sheng-Jye Hwang, Hsin-Shu Peng, and Hsiao-Yeh Chu, “Optimize Injection-Molding Process Parameters and Build an Adaptive Process Control System Based on Nozzle Pressure Profile and Clamping Force,” Polymers, Vol. 15, no. 3, p. 610 (2023).
    [8] Feng-Jung Cheng, Chen-Hsiang Chang, Chien-Hung Wen, Sheng-Jye Hwang, Hsin-Shu Peng, and Hsiao-Yeh Chu, “Out-of-Mold Sensor-Based Process Parameter Optimization and Adaptive Process Quality Control for Hot Runner Thin-Walled Injection-Molded Parts,” Polymers, Vol. 16, no. 8, p. 1057 (2024).
    [9] J. Giboz, F. Dubelley, S. Carrier, L. Tenchine, Y. Molmeret, and P. Mele, “Real-time analysis of polymer flow under real processing conditions applied to microinjection molding,” Journal of Manufacturing Processes, Vol. 75, pp. 565-572 (2022).
    [10] Kai-Fu Liew, Hsin-Shu Peng, Po-Wei Huang, and Wei-Jie Su, “Injection Barrel/Nozzle/Mold-Cavity Scientific Real-Time Sensing and Molding Quality Monitoring for Different Polymer-Material Processes,” Sensors, Vol. 22, no. 13, p. 4792 (2022).
    [11] Wei‐Jie Su, and Hsin‐Shu Peng, “A real‐time clamping force measurement eigenvalue for prediction, adjustment, and control of injection product quality,” Polymer Engineering & Science, Vol. 61, no. 2, pp. 420-431 (2020).
    [12] Yung-Hsiang Chang, Shia-Chung Chen, Yu-Hung Ting, Ching-Te Feng, and Chi-Chuan Hsu, “The Investigation of Novel Dynamic Packing Technology for Injection Molded Part Quality Control and Its Production Stability by Using Real-Time PVT Control Method,” Polymers, Vol. 14, no. 13, p. 2720 (2022).
    [13] Stefan Kruppa, and Georg P. Holzinger, “In Situ Characterization of Polymer Melt and Molded Part Quality,” KraussMaffei Technologies GmbH: Munich, Germany (2013).
    [14] Chung‐Chih Lin, “Influence of injection velocity and joint geometry on quality of insert molding,” Polymer Engineering & Science, Vol. 52, no. 2, pp. 268-276 (2011).
    [15] Richárd Dominik Parizs, Dániel Török, Tatyana Ageyeva, and József Gábor Kovacs, “Multiple In-Mold Sensors for Quality and Process Control in Injection Molding,” Sensors, Vol. 23, no. 3, p. 1735 (2023).
    [16] Shih-Chih Nian, Yung-Chih Fang, and Ming-Shyan Huang, “In-mold and Machine Sensing and Feature Extraction for Optimized IC-tray Manufacturing,” Polymers, Vol. 11, no. 8, p. 1348 (2019).
    [17] Ming‐Shyan Huang, Shih‐Chih Nian, and Guan‐Ting Lin, “Influence of V/P switchover point, injection speed, and holding pressure on quality consistency of injection‐molded parts,” Journal of Applied Polymer Science, Vol. 138, no. 41, p. 51223 (2021).
    [18] Yuxuan Xu, Gang Liu, Kaifang Dang, Nanhong Fu, Xiaolong Jiao, Jinling Wang, Pengcheng Xie, and Weimin Yang, “A novel strategy to determine the optimal clamping force based on the clamping force change during injection molding,” Polymer Engineering & Science, Vol. 61, no. 12, pp. 3170-3178 (2021).
    [19] Jian-Yu Chen, Kai-Jie Yang, and Ming-Shyan Huang, “Online quality monitoring of molten resin in injection molding,” International Journal of Heat and Mass Transfer, Vol. 122, pp. 681-693 (2018).
    [20] Jian-Yu Chen, Jia-Xiang Zhuang, and Ming-Shyan Huang, “Monitoring, prediction and control of injection molding quality based on tie-bar elongation,” Journal of Manufacturing Processes, Vol. 46, pp. 159-169 (2019).
    [21] Yuxuan Xu, Pengcheng Xie, Nanhong Fu, Xiaolong Jiao, Jinling Wang, Gang Liu, Xiyu Dou, Yan Zha, Kaifang Dang, and Weimin Yang, “Self‐optimization of the V/P switchover and packing pressure for online viscosity compensation during injection molding,” Polymer Engineering & Science, Vol. 62, no. 4, pp. 1114-1123 (2022).
    [22] Hanjui Chang, Zhiming Su, Shuzhou Lu, and Guangyi Zhang, “Intelligent Predicting of Product Quality of Injection Molding Recycled Materials Based on Tie-Bar Elongation,” Polymers, Vol. 14, no. 4, p. 679 (2022).
    [23] Ming‐Shyan Huang, Kun‐Cheng Ke, and Chun‐Ying Liu, “Cavity pressure‐based holding pressure adjustment for enhancing the consistency of injection molding quality,” Journal of Applied Polymer Science, Vol. 138, no. 18, p. 50357 (2020).
    [24] Reinhard Schiffers, Stefan Kruppa, and Stefan Moser, “The Right Changeover Point for Each Shot,” Journal Kunststoffe, Vol. 11, pp. 26-29 (2014).
    [25] John P. Beaumont, Runner and gating design handbook: tools for successful injection molding, Carl Hanser Verlag GmbH Co KG, Germany (2019).
    [26] Suhas Kulkarni, Robust process development and scientific molding: theory and practice, Carl Hanser Verlag GmbH Co KG, Germany (2017).
    [27] Anon, Sasol Limited, 2024. Retrieved from: https://products.sasol.com/pic/products/home/grades/ZA/5hnr100/index.html (accessed on 23 July 2024).
    [28] Anon, LCY GROUP, 2024. Retrieved from: https://www.lcycic.com/lcy/tc/product-info.php?cid=1&cid2=15&cid3=5 (accessed on 23 July 2024).
    [29] Anon, Dynisco, 2024. Retrieved from: https://www.dynisco.com/userfiles/files/Datasheets/pt4656_5.pdf (accessed on 23 July 2024).
    [30] Anon, Gefran, 2024. Retrieved from: https://www.gefran.com/products/strain-and-force-sensors/strain/ge1029-tie-bar-strain-sensor/ (accessed on 23 July 2024).
    [31] Anon, Advantech, 2024. Retrieved from: https://advdownload.advantech.com/productfile/PIS/USB-4716/file/USB-4716_DS(121621)20211220135341.pdf (accessed on 23 July 2024).
    [32] Anon, ICP DAS Co. Ltd., 2024. Retrieved from: https://www.icpdas.com/tw/product/AR-300-T (accessed on 23 July 2024).

    無法下載圖示 校內：2029-08-22公開
    校外：2029-08-22公開
    電子論文尚未授權公開，紙本請查館藏目錄
    QR CODE