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研究生: 蕭琦峻
Xiao, Qi-Jun
論文名稱: 以網頁建構一套經驗推理系統提升3D列印品質
Using Web Pages to Construct a set of Case-Based Reasoning to Improve 3D Printing Quality
指導教授: 楊政融
Yang, Cheng-Jung
Chiang,Ting-Lung
學位類別: 碩士
Master
系所名稱: 工學院 - 機械工程系所
Department of Mechanical Engineering
畢業學年度: 107
語文別: 中文
論文頁數: 67
中文關鍵詞: 案例式推理3D列印熔融沉積成型Cura切片軟體
外文關鍵詞: Case-Based Reasoning, 3D Printing, Fused Deposition Molding, Cura slice software
DOI URL: http://doi.org/10.6346/NPUST201900218
相關次數: 點閱:21下載:1
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  • 現今社會的氛圍,每個人都想要與眾不同,再加上網際網路的蓬勃發展、電腦效能提升、3D列印技術的出現,人們都可輕鬆的設計及分享自己的產品。只要你有3D列印機,設計完的產品就不需要再拿去開模或使用傳統的切削加工方法。目前許多3D列印機有著低成本的優勢,能在家製作自己的產品。然而,在列印之前都需要經過切片軟體,如Cura、slic3r、KISSlicer等,將使用者所設計的產品進行切層,及列印時機台作動等設置,往往會因為使用者的經驗不足,使產品列印失敗。

    因此本研究提出利用案例式推理(Case-Based Reasoning, CBR)的方法結合網站系統建構的方式,提升案例式推理系統使用上的便利性,同時也方便收集大量的列印數據,初學者可以運用此套系統學習進階參數的設置,不管案例列印的好或是壞,只要將每次的列印完的參數回存到案例庫當中,使系統達到自我學習的功能。

    Currently, fashion trends are moving in a unique and personal direction. With the advancement of Internet and computer technology, and also the popularity of 3D printing technology, everyone can easily design and share their own products. As long as you have a 3D printer, the finished product does not need to the molding or the machining methods. The Fused Deposition Modeling (FDM) process of 3D printer has the advantage of low cost and can make it at home. However, it is necessary to pass through the slicing software, such as Cura, slic3r, KISSlicer, to determine the manufacturing parameters before printing. Insufficient user experience often results in product printing failures.
    Therefore, this study presents to the use of Case-Based Reasoning (CBR) method combined with the construction of the website system to enhance the convenience of the use of the Case-Based Reasoning system, and also can collect a large number of printed data in the same time. Beginners can use this system to learn to set on advanced parameters. Whether the quality is good or not, just restore the printed parameters to the case base to make the system achieve self-learning.

    摘要 I
    Abstract II
    謝志 III
    目錄 IV
    表目錄 VI
    圖目錄 VII
    第一章 緒論 1
    1.1 研究背景 1
    1.2 研究動機與目的 1
    1.3研究架構 2
    第二章 3D列印 4
    2.1 3D列印歷史發展 4
    2.2 3D列印技術種類 5
    2.3 FDM製程的3D列印機種 10
    2.4 熔融沉積過程的相關研究 12
    2.5 3D列印的未來趨勢與議題 13
    第三章 案例式推理 14
    3.1 CBR起源概念 14
    3.2 CBR運作流程 15
    3.3 知識表現方法 16
    3.4 指標系統 16
    3.5案例式推理主要四個部份 17
    3.6 相似度演算法 18
    3.7 CBR優缺點 18
    3.8 CBR應用研究 19
    第四章 研究方法 21
    4.1 研究流程 21
    4.2案例庫建立 23
    4.3 案例蒐集 24
    4.4 案例描述 25
    4.5 建立索引標籤 26
    4.6 修正案例 32
    4.7測試軟體 39
    第五章 系統驗證與評估 42
    5.1 網站系統介紹 42
    5.2 案例查詢 46
    5.3 修正案例後測試 48
    第六章 結論與建議 59
    參考文獻 61
    作者簡介 67

    1.Maker台灣製造者,2018,“創客精神”, https://vmaker.tw/,2018年2月26號查詢。
    2.Rifkin, J.,2013,第三次工業革命:世界經濟即將被顛覆,新能源與商務、政治、教育的全面革命,張體偉、孫豫寧譯,臺北。
    3.Markillie, P., 2012, A Third Industrial Revolution:Special Report Manufacturing and Innovation, Economist Newspaper.
    4.王宣富,2018,利用案例式推理方法進行3D列印熔融沉積成型過程的參數化規劃,碩士論文,屏東科技大學,機械工程系,屏東。
    5.ASTM, 2018, Additive Manufacturing Overview, Available at:https://www.astm.org/industry/additive-manufacturing-overview.html, Accessed 5 June 2018.
    6.GAO-16-56, 2018, “Defense additive manufacturing”, Available at:https://www.gao.gov/products/GAO-16-56, Accessed 8 May 2018.
    7.開源科技自造基地,2018,“3D列印歷史沿革”,https://www.opentech.tw/pages/documents/?/intro/C3-3.html,2018年2月28號查詢。
    8.維基百科自由百科全書,3D列印,https://zh.wikipedia.org/wiki/3D%E6%89%93%E5%8D%B0,2018年2月28號查詢。
    9.3D HUBS,Additive Manufacturing Technologies: An Overview,by Ben Redwood,
    https://www.3dhubs.com/knowledge-base/additive-manufacturing-technologies-overview,2018年3月3號查詢。
    10.3D HUBS,Introduction to SLA 3D Printing 2018,
    by Alkaios Bournias Varotsis,https://www.3dhubs.com/knowledge-base/introduction-sla-3d-printing ,2018年3月3號查詢。
    11.3D HUBS,Introduction to SLS 3D Printing2018,
    by Alkaios Bournias Varotsis, https://www.3dhubs.com/knowledge-base/introduction-sls-3d-printing,2018年3月3號查詢。
    12.3D HUBS,Introduction to Material Jetting 3D Printing2018,by Alkaios Bournias Varotsis, https://www.3dhubs.com/knowledge-base/introduction-material-jetting-3d-printing,2018年3月3號查詢。
    13.GitHub,2018,“3D列印機型式介紹”,https://findergithub.gitbooks.io/3d-printer/content/file_name_should_be_unique.html,2018年5月25號查詢。
    14.PRUSA PRINTERS,PRUSAPRINTERS BLOG,Available at:https://blog.prusaprinters.org/prusa-i3/
    15.3D Hubs, 2018, “CoreXY, Ultimaker”, Available at:https://www.3dhubs.com/3d-printers/maker-ultimate, Accessed 15 Jan 2018.
    16.3D PRINTER Online Store, 2018, “Delta Type, HE 3D K200 SINGLE“, Available at:https://www.3dprintersonlinestore.com/delta-3d-printer-kit, Accessed 15 Jan 2018.17.ATOM,“ATOM 2.0” , Available at :https://www.atom3dp.com/zh/atom2-ch/, Accessed 15 Jan 2018.
    18.M. Kaveh, M. Badrossamay, E. Foroozmehr, and A. Hemasian Etefagh, "Optimization of the printing parameters affecting dimensional accuracy and internal cavity for HIPS material used in fused deposition modeling processes," Journal of Materials Processing Technology, vol. 226, pp. 280-286, 2015.
    19.V. B. Nidagundi, R. Keshavamurthy, and C. P. S. Prakash, "Studies on Parametric Optimization for Fused Deposition Modelling Process," Materials Today: Proceedings, vol. 2, pp. 1691-1699, 2015.
    20.P. J. Nuñez, A. Rivas, E. García-Plaza, E. Beamud, and A.Sanz-Lobera, ”Dimensional and Surface Texture Characterization in Fused Deposition Modelling (FDM) with ABS plus. ” Procedia Engineering, vol. 132, 2015, pp. 855-864
    21.Zhang Ningning、Chen Yongzeng、 Ruan Yujiao、 Zheng Peng,Basic Geometric Error Analysis of Fused Deposition Molding Desktop 3D Printer,(厦門市计量检定测试院,福建厦門361004)。
    22.王樂中,影響FDM 型3D 打印機模型成型的因素及分析 —關於3D 打印機應用的實驗報告,西安美術學院教學實驗中心,陝西 西安 710065),科技展望 2017 /28。
    23.A.K. Sood, R.K. Ohdar, S.S. Mahapatra, 2010,Parametric appraisal of fused deposition modelling process using the grey Taguchi method, Proc Inst Mech Eng B J Eng Manuf,Vol. 224, No. 1, pp. 135-145.
    24.IDC, 2018, “3D Printing spending Guide”, Available at:https://www.idc.com/getdoc.jsp?containerId=prUS42211417, Accessed 5 Jun 2018.
    25.曾靉,2017,“後PC時代,惠普為什麼看好3D列印成為下一個未來”,數位時代,2018年5月25號查詢。
    26.Petrov, A., 1998, A dynamic emergent computational model of analogy-making based on decentralized representations, Unpublished doctoral dissertation, New Bulgarian University, Sofia.
    27.I. Watson., 1999, Case-Based Reasoning is a Methodology not a Technology, Knowledge-Based System, Vol. 12, No. 5-6, pp. 303-308.
    28.R. Schank and R. Abelson, 1977, Scripts, Plans, Goals and Understanding, Hillsdale, N.J.:Lawrence Erlbaum Associates, New York.
    29.R. Schank, 1982, Dynamic Memory:A Themory of Learning in Computers and People, Cambridge Univ, New York.
    30.J. Kolodner, 1993, Case-Based Reasoning, Morgan Kaufmann Publishers, San Mateo.
    31.Christopher Reisbeck, Roger Schank., 1989, “Inside Case-Based Reasoning.”, Lawrence Erlbaum Ass, Hillsdale, New Jersey.
    32.A. Aamodt, E. Plaza, 1994, Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches. AI Communications. IOS Press, Vol. 7, No. 1, pp. 39-59.
    33.Champati, S., W. F. Lu and A. C. Lin, 2002, “Automated Operation Sequencing Planning: A Case-Based Reasoning Approach”, The International Journal of Advanced Manufacturing Technology, Vol. 20, pp. 284-295.
    34.Watson,I.D., 1997, “Applying Case-Based Reasoning : Techniques for Enterprise Systems.”, Morgan Kaufmann Publishers, San Francisco.
    35.Medhbi, M., and Owrang, O., 1998, “Case Discovery in Case-Based Reasoning”, Information System Managements, pp. 74-78.
    36.Ralph, Barletta, 1991, “An Introduction to Case-Based Reasoning”, AI Expert, pp. 43-49.
    37.Fritz, H. G., 1993, “Case-Based Reasoning Applying Past Experience to NewProblems”, Information System Management, pp. 77-80.
    38.Faltings, B., Hua, K., Schmitt, G. and Shih, S.G., 1991, Case-Based Representation of Architectural Design Knowledge, Proceedings of DARPA Case-Based Reasoning Workshop, pp. 307-316.
    39.Goel, A., Kolodner, J. L. Pearce, M., Billington, R. and Zimring, C., 1991, Towards a Case-Based Tool for Aiding Conceptual Design Problem Solving, Proceedings of a Workshop on Case-Based Reasoning (DARPA), San Mateo, Calif.:Morgan Kaufmann, pp. 109–120.
    40.P. Pu and M. Reschberger, 1991, Case-Based Assembly Planning, Proceedings of Case-based Reasoning Workshop, Madison Hotel, Washington, D. C., pp. 245-254.
    41.D. K. Zarley, 1991, A Cased-Based Process Planner for Small Assemblies, Proceedings of Case-based Reasoning Workshop, Madison Hotel, Washington, D. C., pp. 363-373.
    42.B. Humm, C. Schulz, M. Radtke and G. Warnecke, 1991, A system for Case-Based Process Planning, Computers in Industry, No. 17, pp. 169-180.
    43.Watson, I. and Perera, S., 1997, Case-Based Design: A Review and Analysis of Building Design Applications, Journal of Artificial Intelligence for Engineering Design, Analysis and Manufacturing AIEDEM, Vol. 11, No. 1, pp. 59-87.
    44.Hugues, R. and Steven, J. F., 2000, SEED-Config: A Case-Based Reasoning System for Conceptual Building Design, Artificial Intelligence for Engineering Design, Analysis and Manufacturing, pp. 415-430.
    45.徐濟世、洪庭啟,以本題論為基礎之案例推理系統之研究:以旅遊行程推薦為例,國立空中大學,管理與資訊學系,管理與資訊學報,民93,9期,31-61頁。
    46.苑守慈、王詩翔、張瑋倫,智慧型老人居家照護-以替換調適模式之案例式推理為基礎,資訊管理學報,政治大學,資訊管理學系,第十五卷,第二期。
    47.張宸豪,2012,結合案例式推理與專家找尋之問題診斷支援機制,碩士論文,國立交通大學,資訊管理學院。
    48.何正得、張豪,2006,新產品協同開發之案例式推理系統,工程科技與教育學刊,第四卷,第四期,第391-410頁。
    49.張俊郎、王漢清,案例式推理技術於腹腔鏡膽囊切除住院日之應用,2008 International Symposium of Quality Management, Kaohsiung, Taiwan。
    50.Thingiverse, 2018, Available at:https://www.thingiverse.com/, Accessed 10 Jan 2018.

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