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研究生:林育佐
研究生(外文):Yu-TsoLin
論文名稱:一種基於機器視覺系統的鏟花刀具磨耗檢測
論文名稱(外文):A Scraper Tools Wear Condition Detection Based on Machine Vision System
指導教授:王明習
指導教授(外文):Ming-Shi Wang
學位類別:碩士
校院名稱:國立成功大學
系所名稱:工程科學系碩博士班
學門:工程學門
學類:綜合工程學類
論文種類:學術論文
論文出版年:2012
畢業學年度:100
語文別:中文
論文頁數:79
中文關鍵詞:機器視覺表面紋理刀具磨耗鏟花刀具
外文關鍵詞:Machine visionSurface textureTool wearScraper tool
相關次數:
  • 被引用被引用:3
  • 點閱點閱:345
  • 評分評分:
  • 下載下載:55
  • 收藏至我的研究室書目清單書目收藏:0
在不斷要求高精度且自動化的製造業中,工具機扮演著重要的角色,其中又以鏟花技術在其當中扮演著無可取代的地位,然而大部份的鏟花作業仍停留以人工的方式在進行加工,鏟花刀具磨耗檢測則停留在人工進行判斷,並無一套標準的鏟花刀具磨耗檢測系統,現今自動化鏟花機的開發中,鏟花刀具磨耗分析成了目前自動化鏟花機建立的重要課題。為了檢測鏟花刀具磨耗狀態,本研究使用影像處理的相關技術來對鏟花加工的表面紋理進行檢測。檢測結果的分析主要是使用小波轉換的技術來突顯表面紋理的垂直特徵,並可以在垂直特徵當中獲得更多的細節資訊,再將小波子影像經過Otsu’s演算法進行最佳的二值化而使表面紋理細節部分能夠明顯化,以便於電腦分析刀具狀態。實驗結果顯示本文提出的方法能夠有效的應用在鏟花刀具磨耗檢測。最後本論文提出以斜角進刀的方式來改善傳統垂直進刀磨耗不穩定的問題。
In the machine tool industry, high precision and automation are required for manufacturing and assembly processes. The accuracy of components fabricated by a machine tool is lower than that of the machine itself. Scraping technology plays an important role in eliminating the accumulated tolerance of products of a machine assembled from products of the first generation of the machine. Scraping work-pieces are hand-made, and the wear detection of the scraper tool depends on the human operator. Standard scraper tool wear detection is becoming increasingly important. In order to study the monitor of machine scraping tools condition in machining based on machine vision, the machine vision on the state of a scraper tool wear is therefore designed. The present study has developed a standard detection system for a scraper tool wear that uses image processing technology to detect the scraping pattern of surface textures from a work piece. The measurement results are analyzed by using wavelet technology and Otsu's method. The preprocessed images are decomposed under the use of wavelet technology, whereby the sub-image contain rich intermediate frequency information are obtained, and then the sub-image is used Otsu's method to automatically perform histogram shape-based image thresholding, the characteristics reflecting the scraping tool wear condition is extracted by calculating wavelet technological energy distribution of the images. The results has concluded that the method of judging the scraper tool wear condition through extracting the wavelet energy distribution of machine surface texture is simple, and the scraper tool wear condition can be determined in the way.
摘要 II
ABSTRACT III
誌謝 IV
目錄 V
表目錄 VIII
圖目錄 IX
第一章 緒論 1
1.1 簡介 1
1.2 研究動機與目的 2
1.3 論文大綱 6
第二章 相關研究和文獻探討 8
2.1 相關鏟花技術發展文獻回顧 8
2.2 刀具磨耗檢測技術 14
2.2.1刀具磨耗相關知識 14
2.2.2刀具磨耗檢測相關文獻回顧 17
第三章 數位影像處理 24
3.1 小波轉換 24
3.1.1離散小波轉換(DISCRETE WAVELET TRANSFORM) 24
3.1.1.1一維離散小波轉換 25
3.1.1.2二維離散小波轉換 26
3.1.1.3HAAR離散小波轉換 27
3.2 門檻化 30
3.2.1整體性門檻化(GLOBAL THRESHOLD) 31
3.2.2OTSU最佳整體性門檻化 32
3.3 權重分析 36
3.4 刀具更換判斷 37
第四章 實驗架設設備與系統驗證 39
4.1 機器視覺系統設備與架構 39
4.1.1機器視覺整體架構 39
4.1.2CMOS 攝影機 40
4.1.3光源選擇 41
4.1.4程式介面 42
4.2 鏟花刀具磨耗檢測 44
4.2.1鏟花刀具磨耗檢測實驗流程 44
4.2.2鏟花刀具磨耗檢測前置作業 45
4.3 刀具磨耗檢測系統驗證 47
4.3.1影像檢測與表面粗度儀量測 47
第五章 刀具磨耗測試 52
5.1 刀具規格 52
5.2 刀具磨耗實驗 52
5.2.1垂直下刀實驗 53
5.2.2斜角進刀實驗結果 67
第六章 結論與未來展望 74
6.1 結論 74
6.2 未來展望 74
參考文獻 76

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