Results 11 to 20 of about 1,838,834 (287)

Predicting wear of UHMWPE: Decreasing wear rate following a change in direction [PDF]

open access: yesWear, 2011
Abstract Computational tools are emerging as design tools for the development of total joint replacement with improved wear performance. The current wear models of polyethylene assume that wear is linearly proportional to sliding distance; however, it is hypothesized that the wear rate varies and is higher near a change in direction, but diminishes ...
Dressler, Matthew R.   +4 more
openaire   +4 more sources

A model of friction for a pin-on-disc configuration with imposed pin rotation [PDF]

open access: yes, 2011
A friction model is developed by considering the Coulomb friction model, a probabilistic approach of wear prediction, the kinematics of the pin-on-disc configuration and the elastic theory of bending.
Hadfield, Mark   +3 more
core   +10 more sources

A geometry independent integrated method to predict erosion wear rates in a slurry environment [PDF]

open access: yes, 2010
Material wear due to erosion-corrosion in slurry transport equipment is prevalent in process industries such as the oilsands industry. Damage to equipment can cost a typical oilsands industry nearly £200 million annually, along with an associated health
Gnanavelu, Abinesh Balasubramaniam
core   +6 more sources

Distribution and Prediction of Incremental Cutter Flank Wear in High-Efficiency Milling

open access: yesApplied Sciences, 2023
In the milling of titanium alloy workpieces, tool wear seriously affects the surface quality of a workpiece and its tool life. It is of great significance to study the influence of instantaneous contact stiffness on instantaneous friction variables and ...
Peiyi Zhao   +3 more
doaj   +1 more source

Long-Term Wear Monitoring and Wear Prediction by Means of Wear Models

open access: yesIFAC Proceedings Volumes, 1994
Abstract A method for monitoring and predicting fouling of heat exchangers by means of longterm wear models is described. To monitor progressive fouling, the dependencies between the poles of a second-order transfer-function, the fouling and the operation point are examined.
P Neuenschwander   +2 more
openaire   +1 more source

Predicting implant UHMWPE wear in-silico: A robust, adaptable computational-numerical framework for future theoretical models [PDF]

open access: yes, 2011
Computational methods for the pre-clinical wear prediction for devices such as hip, knee or spinal implants are valuable both to industry and academia. Archard’s wear model laid the basis for the first generation of theoretical wear estimation algorithms,
M.A. Strickland   +5 more
core   +1 more source

Development of a model for predicting worn profile of rail under the mixed slip conditions

open access: yesNihon Kikai Gakkai ronbunshu, 2020
Rail wear does not develop in a short term, but it is closely related to crack initiation. Furthermore, there is a possibility that the worn profile of rail influences the curving performance or the running stability.
Masahiro TSUJIE   +3 more
doaj   +1 more source

Computational Wear Prediction of TKR with Flatback Deformity during Gait

open access: yesApplied Sciences, 2022
Loss of lumbar lordosis in flatback patients leads to changes in the walking mechanism like knee flexion. Such variations in flatback patients are predicted to alter the characteristics of total knee replacement (TKR) contact, so their TKR will show ...
Hye Kyeong Lee   +2 more
doaj   +1 more source

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

open access: yesScience 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

Intelligent Prediction of Aeroengine Wear Based on the SVR Optimized by GMPSO

open access: yesApplied Sciences, 2021
In order to predict aeroengine wear accurately and automatically, as a predictor, support vector regression (SVR) was optimized by means of particle swarm optimization (PSO).
Bo Zheng   +3 more
doaj   +1 more source

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