Results 21 to 30 of about 5,074,594 (286)

Tool wear prediction model based on wear influence factor

The International Journal of Advanced Manufacturing Technology, 2023
Abstract This study proposed a new method for predicting tool wear curve over machining time through abscissa stretching or compressing based on wear influence factor. In this method, firstly, the relationship model between the tool wear rate and the cutting parameters needs to be built, and the wear influence factor can be derived from this ...
Cheng Yang, Yaoyao Shi, Hongmin Xin, Tao Zhao, Nan Zhang, Chao Xian   +5 more
openaire   +1 more source

Modelling flan wear of carbide tool insert in metal cutting [PDF]

, 2005
In this paper theoretical and experimental studies are carried out to investigate the intrinsic relationship between tool flank wear and operational conditions in metal cutting processes using carbide cutting inserts.Anewflank wear rate model, which ...
Liu, X, Luo, X., Holta, R., Cheng, K, Chenga, K., Liu, Xianping, Luo, X, Holt, R   +7 more
core   +1 more source

Milling Tool Wear Prediction Method Based on Deep Learning Under Variable Working Conditions

IEEE Access, 2020
Tool wear prediction is essential to ensure part quality and machining efficiency. Tool wear is affected by factors such as the material, structure, process, and processing time of the parts.
Mingwei Wang, Jingtao Zhou, Jing Gao, Ziqiu Li, Enming Li   +4 more
doaj   +1 more source

Degradation modes and tool wear mechanisms in finish and rough machining of Ti17 Titanium alloy under high-pressure water jet assistance [PDF]

, 2013
This article presents the results of an experimental study on the Ti17 titanium alloy, which was carried out to analyze tool wear and the degradation mechanisms of an uncoated tungsten carbide tool insert. Two machining conditions, roughing and finishing,
GERMAIN, Guénaël, FURET, Benoit, AYED, Yessine, AMMAR, Amine   +3 more
core   +1 more source

Research on Tool Wear Based on 3D FEM Simulation for Milling Process

Journal of Manufacturing and Materials Processing, 2020
In the process of metal cutting, the anti-wear performance of the tool determines the life of the tool and affects the surface quality of the workpiece. The finite element simulation method can directly show the tool wear state and morphology, but due to
Zhibo Liu, Caixu Yue, Xiaochen Li, Xianli Liu, Steven Y. Liang, Lihui Wang   +5 more
doaj   +1 more source

Tool Wear Prediction in Glass Fiber Reinforced Polymer Small-Hole Drilling Based on an Improved Circle Chaotic Mapping Grey Wolf Algorithm for BP Neural Network

Applied Sciences, 2023
Glass fiber reinforced polymer (GFRP) is a typical difficult-to-process material. Its drilling quality is directly affected by the processing technology and tool life; burrs, tearing, delamination and other defects will reduce the service life of GFRP ...
Shanshan Hu, Hui Liu, Yufei Feng, Chang Cui, Yujie Ma, Genge Zhang, Xuechuang Huang   +6 more
doaj   +1 more source

Surface profile prediction and analysis applied to turning process [PDF]

, 2008
An approach for the prediction of surface profile in turning process using Radial Basis Function (RBF) neural networks is presented. The input parameters of the RBF networks are cutting speed, depth of cut and feed rate.
LU, Chen, COSTES, Jean-Philippe
core   +1 more source

3D characterisation of tool wear whilst diamond turning silicon [PDF]

, 2006
Nanometrically smooth infrared silicon optics can be manufactured by the diamond turning process. Due to its relatively low density, silicon is an ideal optical material for weight sensitive infrared (IR) applications. However, rapid diamond tool edge
Luo, X., Impey, Susan A., Jacklin, T., Durazo-Cardenas, Isidro, Cox, Andrew, Shore, Paul   +5 more
core   +1 more source

Crater Wear Prediction of Coated Tools.

Journal of the Japan Society for Precision Engineering, 1993
No matter what wear mechanism controls tool wear, tool wear rate can be expressed as functions of stress and temperature on the tool face. Thus stress and temperature distributions on the rake face were measured with split tools and with thermocouples respectively to obtain wear equations.
OBIKAWA, Toshiyuki, MATSUMURA, Takashi, TANAKA, Hiroyuki, SHIRAKASHI, Takahiro, USUI, Eiji   +4 more
openaire   +2 more sources

Prediction of casing wear depth and residual strength in highly-deviated wells based on modeling and simulation

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
doaj   +1 more source