Results 41 to 50 of about 5,320,548 (290)
Pre-evaluation on surface profile in turning process based on cutting parameters [PDF]
, 2009 Traditional online or in-process surface profile (quality) evaluation (prediction) needs to integrate cutting parameters and several in-process factors (vibration, machine dynamics, tool wear, etc) for high accuracy.
MA, Ning +3 more
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A Comparative Study of CNN, LSTM, BiLSTM, and GRU Architectures for Tool Wear Prediction in Milling Processes [PDF]
, 2023 Accurately predicting machine tool wear requires models capable of capturing complex, nonlinear interactions in multivariate time series inputs. Recurrent neural networks (RNNs) are well-suited to this task, owing to their memory mechanisms and capacity ...
Alberto M. Coronado +5 more
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Science Progress, 2020 Casing wear is a serious problem in highly-deviated wells because serious wear will lead to casing deformation, drilling tool sticking and failure of subsequent operations. The purpose of this paper is to predict casing wear depth and evaluate its effect
Liangliang Ding, Miao Xian, Qiang Zhang
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Prediction of Cutting Tool Wear in Turning
Engineering ProceedingsThe paper examines the possibility of compensating one of the significant systematic factors in turning that affects the quality of machined surfaces—namely, the dimensional wear of cutting inserts during finish turning.
Svetlana Koleva
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Chaotic Characteristics and the Application of SVM in the Tool Wear State Recognition
MATEC Web of Conferences, 2016 Metal cutting process is a nonlinear system to obtain the tool wear state and chaos theory are introduced tool wear and feature extraction of acoustic emission signal analysis and classification of tool wear state and wear prediction based on support ...
Guan Shan, Pang Hongyang, Kang Zhenxing
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ConvLSTM-Att: An Attention-Based Composite Deep Neural Network for Tool Wear Prediction
Machines, 2023 In order to improve the accuracy of tool wear prediction, an attention-based composite neural network, referred to as the ConvLSTM-Att model (1DCNN-LSTM-Attention), is proposed.
Renwang Li +3 more
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Development of ANN and ANFIS Models for Prediction of Tool Wear in High-Speed Milling
Journal of Manufacturing and Materials ProcessingIn precision machining, tool wear is one of the primary factors affecting machining quality and production efficiency. This study developed intelligent prediction models for tool wear in the high-speed milling (HSM) of AISI 1045 medium-carbon steel by ...
Wei Tai Huang, Yi Cheng Pan
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Cutting Tool Wear Prediction in Machining Operations, A Review
, 2022 In the machining process, tool wear is an unavoidable reason for tool failure. Tool wear has an impact on not just tool life but also the quality of the finished product in terms of dimensional accuracy and surface integrity. Tool wear is a significant element in the annual cost of machining.
Soori, Mohsen, Arezoo, Behrooz
openaire +3 more sources
Prediction of Sliding Wear of Artificial Rough Surfaces [PDF]
, 2012 When two surfaces are brought in contact, deformation takes place at asperity level. The local pressure distribution and deformation of the contacting surfaces are importance with respect to wear.
Imam , Syafa’at +5 more
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SensorsTool wear prediction is of great significance in industrial production. Current tool wear prediction methods mainly rely on the indirect estimation of machine learning, which focuses more on estimating the current tool wear state and lacks effective ...
Zhiming Rong +4 more
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