Wheel-Rail Interface Condition Estimation (W-RICE)

12/24/2020
by   Sundar Shrestha, et al.
0

The surface roughness between the wheel and rail has a huge influence on rolling noise level. The presence of the third body such as frost or grease at wheel-rail interface contributes towards change in adhesion coefficient resulting in the generation of noise at various levels. Therefore, it is possible to estimate adhesion conditions between the wheel and rail from the analysis of noise patterns originating from wheel-rail interaction. In this study, a new approach to estimate adhesion condition is proposed which takes rolling noise as input.

READ FULL TEXT
research
09/23/2019

FDTD schemes for Maxwell interface problems with perfect electric conductors based on the correction function method

In this work, we propose FDTD schemes based on the correction function m...
research
06/16/2019

Decoupling PDE Computation with Intrinsic or Inertial Robin Interface Condition

We study decoupled numerical methods for multi-domain, multi-physics app...
research
10/04/2022

A diffuse-interface approach for solid-state dewetting with anisotropic surface energies

We present a diffuse-interface model for the solid-state dewetting probl...
research
10/21/2020

Dynamic Layer Customization for Noise Robust Speech Emotion Recognition in Heterogeneous Condition Training

Robustness to environmental noise is important to creating automatic spe...
research
05/24/2016

Blind Analysis of CT Image Noise Using Residual Denoised Images

CT protocol design and quality control would benefit from automated tool...
research
06/20/2022

Continuous boundary condition at the interface for two coupled fluids

We consider two laminar incompressible flows coupled by the continuous l...
research
12/13/2021

Modeling the debonding process of osseointegrated implants due to coupled adhesion and friction

Cementless implants have become widely used for total hip replacement su...

Please sign up or login with your details

Forgot password? Click here to reset