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研究生： 王鴻鈞
Wang, Hung-Chun
論文名稱： 應用三維機械視覺於端銑刀磨耗檢測系統
End-milling cutter wear monitoring system using three-dimensions machine vision
指導教授： 葉哲良
Yeh, J. Andrew
駱遠
Luo, Yuan
口試委員: 蔡孟勳
Tsai, Meng-Shiun
丁川康
Ting, Chuan-Kang
江振國
Chiang, Chen-Kuo
鄭品聰
Cheng, Pin-Tsung
曾文鵬
Tseng, Wen-Peng
學位類別： 碩士
Master
系所名稱： 工學院 - 動力機械工程學系
Department of Power Mechanical Engineering
論文出版年： 2018
畢業學年度： 106
語文別： 中文
論文頁數： 92
中文關鍵詞： 自動光學檢測 、機械視覺 、三維重建 、刀具磨耗
外文關鍵詞： automatic optical inspection, machine vision, 3D reconstruction, cutter wear
相關次數： 點閱：3  下載：0 
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    • 切削刀具磨耗為影響加工業產品精度及良率之重要因素，雖已有諸多研究試圖以模型預估磨耗量，且亦有國際標準組織訂定磨耗機制與標準，然因加工條件之不確定性，仍需監測系統始能有效控制磨耗。現行刀具檢測產品仍未能普及其主因包含「產品無法判斷失效類型」、「無法有效量化磨耗程度」及「檢測過程緩慢」等眾多因素，致使檢測成本過高。且多點刀具因兼具「幾何形狀複雜」、「多磨耗區域」、「旋轉位置不確定」等問題，故難以發展精確、快速且可靠之檢測系統。有鑑於此，本研究利用機械視覺方法開發銑刀磨耗檢測系統，期能達成「重建銑刀三維輪廓」、「辨別刀具測刃的失效型態」及「量化磨耗程度」等至要目標，俾使系統符合實務需求。

    The wear of cutter which affects precision and yield of product is one of the important factor. In the past decades, there were many research predict wear by mathematic model. And national organization also define the type and standard of wear. However, due to the processing uncertainty, wear monitoring system is necessary to control wear effectively. So far, the inspective products are not common yet.Those are because of the system inaccuracy and slowly inspective process. Those reasons lead to the high cost of inspection.To develop multipoint cutters inspection system, it should solve “complex geometric shape”, “multiple wear areas”, “spinning position uncertainty” problems. In view of this, this research utilizes machine vision method to develop milling cutter wear inspection system. To match the requirement of practical application, thesis aim to “reconstruct 3D profile of milling cutter”, “quantitative wear level of milling cutter”.

    摘要 ii ABSTRACT iii 致謝 iv 目錄 v 圖目錄 vii 表目錄 x 第一章 緒論 1 1.1. 前言 1 1.2. 文獻回顧 2 1.2.1. 刀具磨耗機制 2 1.2.2. 刀具檢測產品 5 1.2.3. 刀具檢測技術 10 1.2.4. 非視覺監測系統 12 1.2.5. 視覺類監測系統 15 1.3. 研究動機 20 第二章 理論基礎 21 2.1. 投影重建輪廓技術 21 2.1.1. 凱尼演算法 22 2.1.2. 偏心校正 24 2.1.3. 輪廓重建 26 第三章 實驗設計 28 3.1. 系統評估 28 3.2. 系統架構 29 3.2.1. 系統硬體架構 30 3.2.2. 軟體架構 37 3.2.3. 系統使用流程 37 第四章 實驗結果與討論 39 4.1. 系統解析度測試 40 4.2. 銑刀輪廓重建 41 4.2.1. 刀具影像擷取 41 4.2.2. 影像邊緣偵測 45 4.2.3. 偏心校正 47 4.2.4. 輪廓重建 48 4.2.5. 最小取像張數測試 54 4.3. 系統精度測定 58 4.4. 刀徑量測驗證 59 4.5. 失效及磨耗刀具重建特徵分析 62 4.6. 系統檢測結果與業界人工分類結果比較 72 第五章 結論 75 第六章 未來工作 76 參考文獻 79 附錄一 、待測刀具規格 81 附錄二 、旋轉平台規格 82 附錄三 、驅動器規格 83 附錄四 、光源規格 84 附錄五 、遠心鏡頭之透鏡零件規格 85 附錄六 、光源聚焦透鏡規格 87 附錄七 、相機規格 88 附錄八 、三次元量測儀規格 89 附錄九 、投影重建輪廓程式碼 (Matlab code) 90

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