Cutter wear condition monitoring method based on machine learning
A tool wear and machine learning technology, used in manufacturing tools, measuring/indicating equipment, metal processing machinery parts, etc., can solve problems such as insufficient prediction accuracy, single monitoring physical quantity, and ineffective use of cutting data to improve performance and performance. Effect
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[0054] In order to make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.
[0055] The invention revolves around the tool wear experiment of the hard-to-machine material 30CrMnMoRE with the coated carbide tool, the cutting force and vibration signal are used as tool condition monitoring information, and the tool wear condition monitoring and prediction method of multi-feature fusion realizes the effective milling tool condition Monitoring also provides basic data sources and monitoring prediction modules for the cutting database.
[0056] Such as figure 1 As shown, the method for monitoring tool wear based on machine learning provided by the embodiment of the present invention includes the foll...
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