Results 31 to 40 of about 6,147,181 (407)

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

open access: yesIEEE 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   +4 more
doaj   +1 more source

A study on wear evaluation of railway wheels based on multibody dynamics and wear computation [PDF]

open access: yes, 2010
The wear evolution of railway wheels is a very important issue in railway engineering. In the past, the reprofiling intervals of railway vehicle steel wheels have been scheduled according to designers' experience.
Ambrosio, J.   +6 more
core   +1 more source

Tool Wear Prediction in the Forming of Automotive DP980 Steel Sheet Using Statistical Sensitivity Analysis and Accelerated U-Bending Based Wear Test

open access: yesMetals, 2021
The forming process of ultra-high-strength steel (UHSS) may cause premature damage to the tool surface due to the high forming pressure. The damage to and wear of the tool surface increase maintenance costs and deteriorate the surface quality of the ...
Junho Bang   +5 more
doaj   +1 more source

Estimation of Tool Wear and Surface Roughness Development Using Deep Learning and Sensors Fusion

open access: yesItalian National Conference on Sensors, 2021
This paper proposes an estimation approach for tool wear and surface roughness using deep learning and sensor fusion. The one-dimensional convolutional neural network (1D-CNN) is utilized as the estimation model with X- and Y-coordinate vibration signals
P. Huang, Ching‐Hung Lee
semanticscholar   +1 more source

Effect of surface finishing such as sand-blasting and CrAlN hard coatings on the cutting edge’s peeling tools’ wear resistance [PDF]

open access: yes, 2009
The authors would like to thank IonBond (Chassieu-France) who made the sand-blasting treatments and the Regional Council of Burgundy and CTBA (Wood and Furniture Technical Centre) for their financial support.The aim of this study is first to define the ...
BENLATRECHE, Yacine   +4 more
core   +4 more sources

The Study of Tool Wear in Dry Milling 300M Ultra high strength Steel

open access: yesJournal of Harbin University of Science and Technology, 2019
Aiming at the problem of the rapid failure of 300M ultrahighstrength steel due to tool wear in the process of machining, the test of 300M steel in dry milling with cemented carbide coated tools was carried out.
ZHANG Hui-ping   +3 more
doaj   +1 more source

The influence of surface treatment of PVD coating on its quality and wear resistant [PDF]

open access: yes, 2019
The article deals with a determination of the influence of a cutting edge preparation on the quality and wear resistance of coated cutting tools. Cutting inserts made from a sintered carbide with a deposited layer of PVD coating were selected for ...
Malotová, Šárka   +3 more
core   +1 more source

Comparative analyses on tool wear in helical milling of Ti-6Al-4V using diamond-coated tool and TiAlN-coated tool

open access: yesJournal of Advanced Mechanical Design, Systems, and Manufacturing, 2014
This paper aims to establish the wear mechanisms of tungsten carbide (WC) tools coated with TiAlN and coated with diamond respectively when helical milling Ti-6Al-4V.
Xuda Qin   +6 more
doaj   +1 more source

Woodworking Tool Wear Condition Monitoring during Milling Based on Power Signals and a Particle Swarm Optimization-Back Propagation Neural Network

open access: yesApplied Sciences, 2021
In the intelligent manufacturing of furniture, the power signal has the characteristics of low cost and high accuracy and is often used as a tool wear condition monitoring signal.
Weihang Dong   +3 more
doaj   +1 more source

Tool Wear Monitoring with Vibration Signals Based on Short-Time Fourier Transform and Deep Convolutional Neural Network in Milling

open access: yes, 2021
Tool wear monitoring is essential in precision manufacturing to improve surface quality, increase machining efficiency, and reduce manufacturing cost. Although tool wear can be reflected by measurable signals in automatic machining operations, with the ...
Zhiwen Huang   +4 more
semanticscholar   +1 more source

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