Tool Wear State Identification Based on SVM Optimized by the Improved Northern Goshawk Optimization. [PDF]
Tool wear condition significantly influences equipment downtime and machining precision, necessitating the exploration of a more accurate tool wear state identification technique. In this paper, the wavelet packet thresholding denoising method is used to process the acquired multi-source signals and extract several signal features.
Wang J, Xiang Z, Cheng X, Zhou J, Li W.
europepmc +4 more sources
Deep Learning Tool Wear State Identification Method Based on Cutting Force Signal. [PDF]
The objective of this study is to accurately, expeditiously, and efficiently identify the wear state of milling cutters. To this end, a state identification method is proposed that combines continuous wavelet transform and an improved MobileViT lightweight network.
Li S, Li M, Gao Y.
europepmc +4 more sources
Tool Wear State Identification Method with Variable Cutting Parameters Based on Multi-Source Unsupervised Domain Adaptation. [PDF]
Accurately identifying tool wear states with variable cutting parameters can improve machining quality and efficiency. However, existing wear state recognition methods based on unsupervised domain adaptation mostly employ the knowledge transfer learning strategy in a single source domain.
Cai Z, Li W, Song J, Jin H, Fu H.
europepmc +4 more sources
Identification of tool wear states with fuzzy classification [PDF]
A new on-line tool wear states detecting method, with spindle and feed current signal in boring, is presented. By analyzing the effects of tool wear, as well as the cutting parameters on the current signals, the models of the relationship between the current signals and the cutting parameters are established under different tool wear states with ...
Li Xiaoli, Guan Xinping, Wang Hongrui
openaire +1 more source
Fat residue and use-wear found on Acheulian biface and scraper associated with butchered elephant remains at the site of Revadim, Israel [PDF]
The archaeological record indicates that elephants must have played a significant role in early human diet and culture during Palaeolithic times in the Old World.
A., Zupancich +5 more
core +8 more sources
Study on Feature Selection and Identification Method of Tool Wear States Based on Svm [PDF]
Abstract This paper presents an on-line tool wear condition monitoring system for milling. The proposed system was developed taking the cost and performance in practice into account, in addition to a high success rate. The cutting vibration signal is obtained during the cutting process, and then extracting features using time-domain ...
Weilin Li, Pan Fu, Weiqing Cao
openaire +1 more source
Toward a better understanding of tool wear effect through a comparison between experiments and SPH numerical modelling of machining hard materials [PDF]
The aim of this study is to improve the general understanding of tungsten carbide (WC–Co) tool wear under dry machining of the hard-to-cut titanium alloy Ti6Al4V. The chosen approach includes experimental and numerical tests.
Bil +26 more
core +7 more sources
Rational Choice of Machining Tools Using Prediction Procedures [PDF]
Introducing the methods and procedures for predictive analysis into the design process contours of a variety of machining tools (MT) of metal cutting machines is the main aim of this article.
Krol, O. (Oleg), Sokolov, V. (Volodymyr)
core +2 more sources
Artificial neural networks for controlling the temperature of internally cooled turning tools [PDF]
Copyright @ 2013 Scientific Research PublishingBy eliminating the need for externally applied coolant, internally cooled turning tools offer potential health, safety and cost benefits in many types of machining operation.
Fϋrstmann, P +6 more
core +1 more source
A multi-sensor based online tool condition monitoring system for milling process [PDF]
Tool condition monitoring has been considered as one of the key enabling technologies for manufacturing optimization. Due to the high cost and limited system openness, the relevant developed systems have not been widely adopted by industries, especially ...
Li, Weidong +4 more
core +1 more source

