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
![Development of a Numerical Prediction System for Sliding Part Wear and Seizure Occurrence Portions](https://substackcdn.com/image/fetch/w_720,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F19a37ec3-07c6-4c7d-9c4b-640620288309_1024x1024.jpeg)
![Development of a Numerical Prediction System for Sliding Part Wear and Seizure Occurrence Portions](https://substackcdn.com/image/fetch/w_720,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F050d4120-62f6-454b-bc86-4f9829b9fdee_822x705.png)