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Course11210242835 lectures

Data-Enabled Tribological Engineering: From Experiments to Predictive Models

Prof. (HAG) Harish Hirani · IIT Delhi

Start with lecture 1 At NPTEL

Lectures

MATLAB

  1. Lecture 1 - Introduction to Tribology Video
  2. Lecture 2 - Tribological Interfaces Video
  3. Lecture 3 - Fundamentals of Friction and Wear Video

week-02

  1. Lecture 5 - Wear Measurement Techniques Video
  2. Lecture 6 - Principles of Lubrication, types of Lubricants and their properties Video

week-03

  1. Lecture 7 - Lubrication regimes and film thickness calculations Video
  2. Lecture 8 - Mixed Lubrication Video
  3. Lecture 9 - Hydrodynamic Lubrication Theory Video

week-04

  1. Lecture 10 - Design Considerations for Hydrodynamic Lubrication Systems Video
  2. Lecture 11 - Elastohydrodynamic Lubrication Video
  3. Lecture 12 - Solid Lubrication Video

week-05

  1. Lecture 13 - Surface modification techniques for tribological applications Video
  2. Lecture 14 - Thin film coatings and their tribological properties Video
  3. Lecture 15 - Nanotribology Video

week-06

  1. Lecture 16 - Tribocorrosion Video
  2. Lecture 17 - Wear testing techniques and standards Video
  3. Lecture 18 - Measurement and analysis of wear debris Video

week-07

  1. Lecture 19 - Experimental Design and Statistical Analysis Video
  2. Lecture 20 - Introduction to Data-Enabled Engineering Video
  3. Lecture 21 - Data Collection and Preprocessing Video

week-08

  1. Lecture 22 - Feature Extraction and Selection Video
  2. Lecture 23 - Introduction to Machine Learning Algorithms Video
  3. Lecture 24 - Regression and Classification Algorithms for Tribological Modeling Video

week-09

  1. Lecture 25 - Deep Learning for Tribological Engineering Video
  2. Lecture 26 - Data-Driven Models for Friction Prediction Video
  3. Lecture 27 - Data-Driven Models for Wear Prediction Video

week-10

  1. Lecture 28 - Data-Driven Models for Lubricant Optimization Video
  2. Lecture 29 - Data-Driven Models for Tribofilm Formation Video
  3. Lecture 30 - Data-Driven Models for Tribocorrosion Prediction Video

week-11

  1. Lecture 31 - Prediction of Coating and Surface Treatment Performance Video
  2. Lecture 32 - Optimization of Surface Engineering Processes using Machine Learning Video
  3. Lecture 33 - Uncertainty Quantification and Sensitivity Analysis Video

week-12

  1. Lecture 34 - Data Management and Ethics in Data-Enabled Engineering Video
  2. Lecture 35 - Case Studies in Data-Enabled Tribological Engineering Video
  3. Lecture 36 - Future Directions in Data-Enabled Tribological Engineering Video

Syllabus and materials

At NPTEL, as the course publishes them.

Credits and licence

Institution
IIT Delhi
Department
Mechanical Engineering
Teacher
Prof. (HAG) Harish Hirani
Level
Undergraduate
Language
English
Subjects
Engineering
Source
NPTEL
Licence
CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
Attribution
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