Skip to main navigation
Skip to search
Skip to main content
Northwestern Scholars Home
Help & FAQ
Home
Experts
Organizations
Research Output
Grants
Core Facilities
Research Data
Search by expertise, name or affiliation
Simulating the worn surface in a wear process
Yong Ao,
Q. Jane Wang
*
, Penny Chen
*
Corresponding author for this work
Mechanical Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
24
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Simulating the worn surface in a wear process'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Physics
Simulation
100%
Wear Test
75%
Wear
50%
Variations
50%
Artificial Neural Network
25%
Performance
25%
Information
25%
Failure
25%
Geometry
25%
Independent Variables
25%
INIS
surfaces
100%
wear
100%
simulation
36%
prediction
18%
variations
18%
processing
9%
information
9%
synthesis
9%
performance
9%
modeling
9%
demand
9%
geometry
9%
failures
9%
regeneration
9%
extraction
9%
neural networks
9%
topography
9%
Chemistry
Procedure
100%
Surface
100%
Atom
9%
Group
9%
Synthesis (Chemical)
9%
Topography
9%
Material Science
Surface
100%
Wear Process
100%
Rough Surface
10%
Topography
10%
Computer Science
Simulation
100%
Artificial Neural Network
25%
Statistical Parameter
25%
Modeling
25%
Feature Extraction
25%