Automatic Drill Wear Measurement Using Colour Image Processing and Artificial Neural Network

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概要

• 論文の詳細を見る
• 1997-12-01

著者

• ONIKURA Hiromichi

  Faculty of Engineering, Kyushu University

• Onikura H

  Kyushu Univ. Fukuoka Jpn

• Onikura H

  Department Of Intelligent Machinery And Systems Faculty Of Engineering Kyushu University

• Onikura Hiromichi

  Faculty Of Engineering Kyushu University

• BOPP Urs

  Faculty of Engineering, Kyushu University

• SAJIMA Takao

  Faculty of Engineering, Kyushu University

• Bopp U

  九大 大学院

• Bopp Urs

  Faculty Of Engineering Kyushu University

• Sajima T

  Department Of Intelligent Machinery And Systems Faculty Of Engineering Kyushu University

関連論文

• The Influence of Workpiece Geometry on Axial Hole Deviation in Deep Hole Drilling
• The Influence of Tool Geometry on Axial Hole Deviation in Deep Drilling : Comparison of Single- and Multi-Edge Tools : Vibration, Control Engineering, Engineering for Industry
• Research and Development of Ultra High-Pressure Tank Reinforced by Carbon Fiber and Its Manufacturing Method
• Development of a High-Performance Deep-Hole Boring Tool-Putting into practical use-
• Automatic Drill Wear Measurement Using Colour Image Processing and Artificial Neural Network
• Automatic Drill Wear Measurement Using Colour Image Processing
• Fabrication of Micro Flat Drills by Precision Grinding and Drilling into Duralumin and Stainless Steel with Ultrasonic Vibration(Advanced Manufacturing Technology)
• Estimation Methods of Roundness Error Based on Minimum Zone Concept : Improvement of Accuracy by Correcting Form Distortion due to Eccentricity
• 解説 カラー画像処理を用いたドリルの摩耗測定とニューラルネットワークによる寿命予測
• Effects of Ultrasonic Vibration on Machining Accuracy in Microdrilling
• ドリルのコーナ摩耗のカラー画像処理を用いた穴品位の予測

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