منابع مشابه
Tool Condition Monitoring in Machining - Neural Networks
Condition monitoring and diagnosis systems capable of identifying machining system defects and tiieir location are essential for unmanned machining Unattended (or minimally manned) machining would result in increased capital equipment utilization, thus substantially reducing the manufacturing costs. A review of tool monitoring systems and techniques and their components and the Multiple Princip...
متن کاملIn-Process ANFIS Predictor and Neural Network Decision System for Tool Condition Monitoring
Primljeno (Received): 2011-10-10 Prihvaćeno (Accepted): 2012-01-22 Original scientific paper The aim of this paper is to present a tool condition monitoring (TCM) system that can detect tool breakage in real time using a combination of a neural decision system, an ANFIS tool wear estimator and a machining error compensation module. The principal presumption was that the force signals contain th...
متن کاملMetacognitive Learning Approach for Online Tool Condition Monitoring
As manufacturing processes become increasingly automated, so should tool condition monitoring (TCM) as it is impractical to have human workers monitor the state of the tools continuously. Tool condition is crucial to ensure the good quality of products: Worn tools affect not only the surface quality but also the dimensional accuracy, which means higher reject rate of the products. Therefore, th...
متن کاملOnline Tool Condition Monitoring Based on Parsimonious Ensemble+
Accurate diagnosis of tool wear in metal turning process remains an open challenge for both scientists and industrial practitioners because of inhomogeneities in workpiece material, nonstationary machining settings to suit production requirements, and nonlinear relations between measured variables and tool wear. Common methodologies for tool condition monitoring still rely on batch approaches w...
متن کاملSensorless Machine Tool Condition Monitoring based on open NCs
Monitoring the state of mechanical machine tool components is of growing importance for increasing machine tool availability and reducing inspection efforts and costs. Open Numeric Controls offer a new opportunity for getting access to signals of drives as well as of the control itself and to integrate end-user’s individual applications. Because the actual drive signals contain information on t...
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ژورنال
عنوان ژورنال: Mechanik
سال: 2017
ISSN: 0025-6552
DOI: 10.17814/mechanik.2017.7.64