Results 51 to 60 of about 25,726 (266)

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

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source

Investigation into rolling contact fatigue and wear of high-speed train wheels on long steep slope track

机车电传动, 2023
A rolling contact fatigue prediction model and a wear prediction model were established to analyze the influence of slope and speed on the rolling contact fatigue and wear of electric multiple unit (EMU) wheels on long steep slope track.
ZHOU Chen, ZHENG Jing, QIAO Qingfeng, ZOU Xiaolong, CHEN Jiaming, TAO Gongquan   +5 more
doaj  

Thermodynamic Pathways of Nonequilibrium Solidification in Wire‐Arc Additive Manufacturing Fe‐Based Multicomponent Alloy Structures

Advanced Engineering Materials, EarlyView.
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios, Anthony Gonzalez, Aleksander Aleman, Tyler Dolmetsch, Tanaji Paul, Arvind Agarwal   +5 more
wiley   +1 more source

Productivity‐Driven Optimization of Laser Powder Bed Fusion Parameters for IN718 Superalloy: Process Control, Microstructure, and Mechanical Properties

Advanced Engineering Materials, EarlyView.
This study demonstrates how optimizing laser power, scanning speed, and hatching distance in laser powder bed fusion can boost the productivity of Inconel 718 manufacturing by up to 29% while maintaining mechanical integrity. The work delivers a validated process window and cost–time analysis, offering industry‐ready guidelines for efficient additive ...
Amir Behjat, Guido Barale, John Stavridis, Ehsan Norouzi, Jin‐Yoo Suh, Dong‐Ik Kim, Luca Iuliano, Abdollah Saboori   +7 more
wiley   +1 more source

A Wear Prediction Framework for Ball-Screw of Electro-Mechanical Brake Unit on Railway Trains

Actuators
The electro-mechanical brake is a new advancement in railway train braking. Ball-screws are important components of electro-mechanical braking units (EMBUs), and their wear can cause EMBUs to degrade in performance or even fail to function. In this paper,
Tianhe Ma, Jingjing Weng, Chun Tian, Mengling Wu   +3 more
doaj   +1 more source

High‐Temperature Nanoindentation of Metals: Assessing Thermal Drift, Frame Compliance, and Chemical Composition Effects on the Reported Mechanical Properties

Advanced Engineering Materials, EarlyView.
Do not let thermal drift and instrument artifacts deceive high‐temperature nanoindentation results. We compare classical Oliver–Pharr and automatic image recognition analyses across steels and a Ni alloy to quantify these effects. Accounting for artifacts reveals systematic softening with temperature, while Cr and Ni additions boost resistance ...
Velislava Yonkova, Steffen Brinckmann, Ruth Schwaiger   +2 more
wiley   +1 more source

Wear Life Prediction on Unfolding Wheel of Steel Ball Detection by Using Numerical Simulation

Journal of Harbin University of Science and Technology, 2020
Wear is the main failure form of unfolding wheel of steel ball, and the unfolding effect on steel ball surface will be failure when the wear of unfolding wheel achieves a certain degree.
PAN Cheng yi, LI Xia, ZHAO Yan Ling, XIANG Jing Zhong, LI Wei   +4 more
doaj   +1 more source

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

Advanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source

WEAR AND CRACK initiation PREDICTION OF RAIL IRREGULARITY WELDING ZONE

Jixie qiangdu
In order to investigate the relationship between abrasion and crack initiation in the welded zone of rails and axle weight and friction coefficient， through the field measurement of a large number of uneven weld zones， two kinds of typical weld zone ...
WEAR AND, CRACK initiation PREDICTION OF RAIL IRREGULARITY WELDING ZONE   +1 more
doaj