Reliability evaluation of automated monitoring of rock cutting tool condition
نویسندگان
چکیده
منابع مشابه
Real-Time Cutting Tool Condition Monitoring in Milling
Reliable tool wear monitoring system is one of the important aspects for achieving a self-adjusting manufacturing system. The original contribution of the research is the developed monitoring system that can detect tool breakage in real time by using a combination of neural decision system and ANFIS tool wear estimator. The principal presumption was that force signals contain the most useful in...
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One of the important developments in modern manufacturing industry has been the trend towards cost savings through stuff reductions whilst simultaneously improving the product quality. Traditional tool change strategies are based on very conservative estimates of tool life from past tool data and this leads to a higher tool change frequency and higher production costs. Intelligent sensor based ...
متن کاملEvaluation of Flank Wear of Iron-rich Binder Carbide Cutting Tool in Turning of Titanium Alloy
Despite the fact that Titanium material has been considered as difficult to cut material, its usage has been increasing day by day in all engineering sectors; wherever criticality is encountered. Many studies are going on in view of increasing tool life at high cutting speed to improve productivity. In this study, attempt has been made to see the effect of iron as a partial substitution along ...
متن کاملCondition Monitoring of Single Point Cutting Tool through Vibration Signals using Decision Tree Algorithm
Tool condition monitoring in machining plays a crucial role in modern manufacturing systems, finding tool wear state in early with the help of monitoring system will reduce downtime and excessive power drawing while machining. It also increases machining quality as well as surface finish of machined components. Vibration analysis of mechanical systems can be used to identify the tool condition ...
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ژورنال
عنوان ژورنال: Eastern-European Journal of Enterprise Technologies
سال: 2014
ISSN: 1729-4061,1729-3774
DOI: 10.15587/1729-4061.2014.26253