Results 71 to 80 of about 1,838,834 (287)

A prognosis model for wear prediction based on oil-based monitoring

open access: yes, 2007
This paper reports on the development of a wear prediction model based on stochastic filtering and hidden Markovtheory.It is assumed that observations at discrete time points are available such as metal concentrations from oil-basedmonitoring, which are ...
Wang, W
core   +1 more source

Coordinated Architectural and Chemical Reinforcement in the Crushing Mandible of a Soldier Termite

open access: yesAdvanced Functional Materials, EarlyView.
The crushing mandible of a soldier termite withstands substantial biting loads despite lacking mineral. Its cuticle is partitioned: convex teeth pair hardness and zinc enrichment with aligned chitin fibers for contact durability, while stiffer concave regions between teeth carry bending loads.
Andrew Tran Nguyen   +16 more
wiley   +1 more source

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

open access: yesActuators
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   +3 more
doaj   +1 more source

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

open access: yes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   +5 more
doaj  

Bio‐Inspired Artificial Ionic Mechanoreceptor

open access: yesAdvanced Functional Materials, EarlyView.
A skin‐inspired artificial mechanoreceptor based on ionic interactions is presented for biomimetic tactile sensing. Pressure‐driven ionic redistribution within microfluidic channels generates a self‐powered electrical signal without external bias. The generated waveform exhibits mechanoreceptor‐like temporal features, including overshoot and undershoot,
Mohammad Akbari   +4 more
wiley   +1 more source

WEAR AND CRACK initiation PREDICTION OF RAIL IRREGULARITY WELDING ZONE

open access: yesJixie 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   +1 more
doaj  

Real-time bit wear prediction using mud logger data with mathematical approaches

open access: yesJournal of Petroleum Exploration and Production Technology, 2019
Nowadays, the success of drilling operations has become more sensitive to cost control. As one of the most effective cost reductions is the elimination of extra trips, real-time bit wear prediction has been a challenge for appropriate decision-making in ...
Hongpeng Yang   +2 more
doaj   +1 more source

Wear mechanisms of TiN coated tools during high-speed tapping of GGG50 nodular cast iron

open access: yes, 2023
Ductile irons are among the most used materials in the automotive industry. One of the critical problems during manufacturing of powertrain components is the fast wear of cutting tools because it can lead to defects in the part.
Veiga, Fernando   +3 more
core   +1 more source

Microscale Patterning of Ultrahigh‐Viscosity Metallic‐Polymer Composites via Embedded Droplet Writing

open access: yesAdvanced Functional Materials, EarlyView.
A hybrid additive manufacturing platform integrates direct droplet writing of metallic composite with VAT photopolymerization to fabricate architected soft magnetic composites. This approach enables microscale patterning of high‐viscosity materials for programmable actuators, adaptive fluidic devices, and switchable adhesives, offering tunable ...
Yeowon Yoon   +4 more
wiley   +1 more source

Wear prediction of micro-grinding tool based on GA-BP neural network

open access: yesJin'gangshi yu moliao moju gongcheng
An intelligent tool wear prediction model has been proposed for the micro-grinding tool, optimized using a genetic algorithm (GA) based BP neural network.
Miao TIAN   +4 more
doaj   +1 more source

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