Analysis of the study and simulation of the neural network model form cutter
|School||Lanzhou University of Technology|
|Course||Mechanical Manufacturing and Automation|
|Keywords||Neural Network Milling cutter Tool Condition Analysis Model Simulation MATLAB|
With the continuous improvement of the degree of automation in the manufacturing sector brought about many new problems to be addressed in the manufacturing , including tool wear and breakage . In the early mechanical processing , depends on the operating personnel observe the tool , the replacement of the tool , but in modern , automated continuous production system , the breakage of the tool will not only lead to failure of the function of the machine , but also constitutes a failure of the entire system . Therefore, the prediction tool wear and breakage generation , it is extremely urgent. Form cutter analysis neural network model . First cutter state classification, describes the characteristics of the various states , and the influencing factors were analyzed in detail . Second, for the typical four categories of state common form cutter , select the tool status is closely related to the characteristics of physical quantities as a neural network learning samples , acoustic emission signals , the cutting force signal power signal . Neural network nonlinear approximation ability , generalization of cutter wear for analysis. Neural network through a series of learning the training sample so that it has a diagnostic feature . Neural network model, and the model of a full analysis . Due to the scalability of the neural network structure , this model can be used in the other MILLS state analysis . The help of MATLAB neural network toolbox trained network simulation obtained sensitive characteristic parameters of the form cutter state of the simulation curve . The project provided for forming cutter state analysis model to prove the use of neural network model to form cutter diagnosis is entirely feasible . Due to the scalability of the neural network structure , the state diagnostic tool is also made ??possible , studies have shown that the model can effectively improve the quality and efficiency of processing .