Predict Wear & Load in Fluid Lubricated Engine Parts
Development of a Numerical Prediction System for Sliding Part Wear and Seizure Occurrence Portions
Tags: Tohoku University, Japan, Transportation & Automotive, Computing Technology
This technology introduces a multiphase fluid-structure analysis for predicting wear and seizure in engine parts, a significant advancement over the inability of conventional methods to accurately predict these issues. It utilizes simulation to identify wear areas under high load conditions, revealing bow-like deformation as a cause of damage. This innovative approach offers a three-dimensional analysis that accounts for elastic deformation and fluid path changes. Its practical application spans automotive engines and machinery with fluid-lubricated sliding components, aiding in damage prevention and component design optimization.
IP Type or Form Factor: Discovery & Research; Process & Method
TRL: Not specified
Industry or Tech Area: Automobiles General; Big Data Analytics & Simulations
