Monitoring the wear of cutting tools in CNC-lathes with artificial neural networks
نویسنده
چکیده
One of the most important tasks of automatic tool monitoring systems for CNC-lathes is the supervision of a tool's wear. Considering the state of wear and the actual working process (e.g. rough or nish turning) it is possible to exchange a tool (or only the insert) just in time, which o ers signi cant economic advantages. This paper presents a new method to estimate two wear parameters by means of arti cial neural networks (multilayer perceptrons or time-delay neural networks). The input parameters of the networks are process-speci c parameters (like the feed rate or the depth of cut) and characteristic coe cients extracted from signals measured with a multi-sensor system in the tool holder.
منابع مشابه
Force-torque based on-line tool wear estimation system for CNC milling of Inconel 718 using neural networks
In a modern machining system, tool condition monitoring systems are needed to get higher quality production and to prevent the downtime of machine tools due to catastrophic tool failures. Also, in precision machining processes surface quality of the manufactured part can be related to the conditions of the cutting tools. This increases industrial interest for in-process tool condition monitorin...
متن کاملDevelopment of an intelligent system for tool wear monitoring applying neural networks
Purpose: The objective of the researches presented in the paper is to investigate, in laboratory conditions, the application possibilities of the proposed system for tool wear monitoring in hard turning, using modern tools and artificial intelligence (AI) methods. Design/methodology/approach: On the basic theoretical principles and the use of computing methods of simulation and neural network t...
متن کاملTool wear monitoring in bandsawing using neural networks and Taguchi’s design of experiments
The bandsawing as a multi-point cutting operation is the preferred method for cutting off raw materials in industry. Although cutting off with bandsaw is very old process, research efforts are very limited compared to the other cutting process. Appropriate online tool condition monitoring system is essential for sophisticated and automated machine tools to achieve better tool management. Tool w...
متن کاملPredictions of Tool Wear in Hard Turning of AISI4140 Steel through Artificial Neural Network, Fuzzy Logic and Regression Models
The tool wear is an unavoidable phenomenon when using coated carbide tools during hard turning of hardened steels. This work focuses on the prediction of tool wear using regression analysis and artificial neural network (ANN).The work piece taken into consideration is AISI4140 steel hardened to 47 HRC. The models are developed from the results of experiments, which are carried out based on De...
متن کاملUsing a data fusion neural network in the tool wear monitoring of a computer numerical control turning machine
The cutting force and the vibration signal of a computer numerical control (CNC) turning machine centre are detected for on-line tool wear monitoring. The feature elements are ®rst extracted from the detected signals. The feature indices are obtained from the feature elements through data preprocessing. Six data fusion methods are used for integrating the feature indices to obtain the fusion in...
متن کامل