Neural network-based grinding machining working condition detection method

Abstract

The invention discloses a neural network-based grinding machining working condition detection method, which comprises the following steps of: establishing a neural network model; acquiring field acoustic emission information under a standard working condition by using a sensor information acquisition module, inputting a sample library consisting of the acquired acoustic emission data and standardworking condition data into a neural network learning module, obtaining a weight threshold parameter by using an error back propagation algorithm and outputting the weight threshold parameter to a neural network operation and output module; according to a received real-time data vector, performing an operation and outputting a real-time working condition vector by using the neural network operation and output module; and judging the conditions of a cutter and a work piece according to definitions of each component in the working condition vector. The method has the advantages that: by utilizing a learning and intelligent judgment function of a neural network, the machining conditions of the work piece and the cutter can be automatically judged, dependence on specialized workers is greatlyreduced and machining efficiency is improved, artificial judgment factors can be effectively reduced, machining efficiency and machining quality are improved and unnecessary damages to the work pieceand the cutter are avoided.

Description

technical field [0001] The invention relates to a detection method in the field of mechanical processing, in particular to a neural network-based detection method for grinding processing conditions. Background technique [0002] In mechanical processing, grinding is an important processing method, and the grinding lathe is the main tool for implementing this processing method. With the development of science and technology, computer-aided grinding lathes (hereinafter referred to as CNC grinding machines) are gradually being used. The CNC grinding machine completes the processing of the workpiece according to the preset computer instructions and the processing drawings, which greatly improves the processing efficiency and processing accuracy. [0003] However, the current CNC grinding machines still require relatively skilled workers to operate, and the operator judges based on work experience whether the tool is in contact with the workpiece, whether the tool (that is, the ...

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Problems solved by technology

[0003] However, the current CNC grinding machines still require relatively skilled workers to operate, and the operator judges based on work experience whether the tool is in contact with the workpiece, whether the tool (that is, the grinding wheel) is passivated, whether the workpiece is burnt or has cracks and other abnormal conditions

Due to the existence of human factors, machining efficiency and quality are often affected, and may cause unnecessary damage to workpieces and tools

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