Morphological Filtering Algorithm for Estimation of Tool Wear in CNC Milling Machining

Qian Ning; Tai Yong Wang

doi:10.4028/www.scientific.net/MSF.697-698.566

Paper Titles

Digital Simulation on Fuzzy Control in the Speed-Varying Wire Feeding System of Welding
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Research on the Layout and Process of the Beverage Packaging Line Using High Speed Robots
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Study on Key Technologies of Aero-Engine AMRO Support System
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Analysis of Physical Condition of Aero-Engines Based on Flight Data
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Morphological Filtering Algorithm for Estimation of Tool Wear in CNC Milling Machining
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Exploring the Steel Bar Logistics Value Chain in China
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Thermal Performance Analysis Based on Micro-Channel Structure of Heat Sink
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Numerical Analysis on Heat Transfer and Flow-Induced Vibration of an Elastic Supported Cylinder
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Calculation of Maxwell Stress Tensor Using 3D FDTD for Trapping Force in Near-Field Optical Tweezers
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HomeMaterials Science ForumMaterials Science Forum Vols. 697-698Morphological Filtering Algorithm for Estimation...

Morphological Filtering Algorithm for Estimation of Tool Wear in CNC Milling Machining

Abstract:

Estimation of tool condition has very important meaning to improve the product quality, continuous machining ability and reliability of the manufacturing system. Based on mathematical morphology, a systematic approach is developed to implement online estimation of tool wear in this paper. As the nonlinear filter, morphological filter is selected to reduce the higher frequency noises before feature values extraction. The feature vector consists of original characteristics of vibration signal and cutting force signal. Then, they are input into SVM for training and testing. Experiments show that this method can achieve tool wear estimation effectively.