منابع مشابه
Vibrations, Shocks and Noise Tool wear criterion based on cutting tool vibration
This work presents a new criterion for the tool wear evaluation from cutting tool vibration. The vibratory signatures produced during a dry turning process were acquired using a three-axis accelerometer mounted on cutting tool. Then, the mean power analysis was estimated to extract an indicator parameter able to describe the wear of the cutting tool along its lifespan. Finally, a criterion base...
متن کاملCutting tool wear estimation for turning
The experimental investigation on cutting tool wear and a model for tool wear estimation is reported in this paper. The changes in the values of cutting forces, vibrations and acoustic emissions with cutting tool wear are recoded and analyzed. On the basis of experimental results a model is developed for tool wear estimation in turning operations using Adaptive Neuro fuzzy Inference system (ANF...
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 کاملCharacterizations of cutting tool flank wear-land contact
Metal deposition at the tool flank wear-land during machining is a common phenomenon, especially in machining aluminum alloys and annealed teels. The cause of metal deposit has not been studied and the characteristics of the wear-land and deposit contact are not completely known. In his study, a turning test was conducted using tungsten carbide (WC) tools with pre-generated wear-land to machine...
متن کاملTool wear estimation in micro-machining. Part I: tool usage–cutting force relationship
The relationship between the cutting force characteristics and tool usage (wear) in a micro-end-milling operation was studied for two different metals. Neural-network-based usage estimation methods are proposed that use force-variationand segmental-averaging-based encoding techniques. 1999 Elsevier Science Ltd. All rights reserved.
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ژورنال
عنوان ژورنال: Journal of the Japan Society for Precision Engineering
سال: 1990
ISSN: 1882-675X,0912-0289
DOI: 10.2493/jjspe.56.1253