Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
Data-Enabled Tribological Engineering: From Experiments to Predictive Models Certification course is a 12-week certification programme. This course is designed to provide participants with the necessary knowledge and skills to effectively utilize data in the field of tribology. Students through this programme will explore the foundational principles of tribology, with a strong emphasis on practical applications.
The Data-Enabled Tribological Engineering: From Experiments to Predictive Models Certification by NPTEL will acquire students a comprehensive understanding of how data-driven approaches can significantly enhance the design, optimization, and maintenance of tribological systems. The course fosters a collaborative learning environment, encouraging students to engage in discussions and brainstorm innovative solutions to real-world tribological challenges.
Also Read: Online Manufacturing Engineering Certification Courses
The Highlights
- IIT Delhi recognized Completion Certificate
- Learning from Trained Faculty Members
- Free Course Readings
- Hands-on projects
Programme Offerings
- online learning
- Robust curriculum
- Hands-on Learning
- Certified faculty and mentors
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | IIT Delhi |
Eligibility Criteria
Academic Qualifications
Students for the Data-Enabled Tribological Engineering: From Experiments to Predictive Models certification course are required to attain a bachelor's and master’s degree for the programme.
Certification Qualifying Details
Candidates for the Data-Enabled Tribological Engineering: From Experiments to Predictive Models certification course are required to qualify for the final examination to receive the completion certificate.
What you will learn
After completing the Data-Enabled Tribological Engineering: From Experiments to Predictive Models Certification syllabus, students will acquire a multifaceted skill set poised to revolutionize their approach to tribological engineering. Students will learn hands-on experience in conducting and interpreting various experimental tests used to characterize tribological behavior, allowing them to effectively evaluate material performance and identify areas for improvement.
Who it is for
The Data-Enabled Tribological Engineering: From Experiments to Predictive Models Certification training is designed for a diverse range of professionals seeking to deepen their understanding and proficiency in tribological engineering.
The course is apt for the following professionals:
Admission Details
To join the Data-Enabled Tribological Engineering: From Experiments to Predictive Models Certification classes, candidates must follow the below-mentioned steps:
Step 1: Visit the official course URL:
https://nptel.ac.in/courses/112102428
Step 2: Log in to the website and enroll for the programme.
Step 3: Enter relevant academic and personal details.
Step 4: Pay the course fee to complete the enrollment process
Step 5: Start learning
The Syllabus
- Lecture -01 Introduction to Tribology
- Lecture -02 Tribological Interfaces
- Lecture -03 Fundamentals of friction and wear
- Lecture -04 Adhesion, abrasion, and surface fatigue mechanisms
- Lecture -05 Wear measurement techniques
- Lecture -06 Principles of lubrication, types of lubricants and their properties
- Lecture -07 Lubrication regimes and film thickness calculations
- Lecture -08 Boundary Lubrication
- Lecture -09 Hydrodynamic lubrication theory
- Lecture -10 Design considerations for hydrodynamic lubrication systems
- Lecture -11 Elastohydrodynamic Lubrication
- Lecture -12 Solid Lubrication
- Lecture -13 Surface modification techniques for tribological applications
- Lecture -14 Thin film coatings and their tribological properties
- Lecture -15 Nanotribology
- Lecture -16 Tribocorrosion
- Lecture -17 Wear testing techniques and standards
- Lecture -18 Measurement and analysis of wear debris
- Lecture -19 Experimental Design and Statistical Analysis
- Lecture -20 Introduction to Data-Enabled Engineering
- Lecture -21 Data Collection and Preprocessing
- Lecture -22 Feature Extraction and Selection
- Lecture -23 Introduction to machine learning algorithms
- Lecture -24 Regression and classification algorithms for tribological modeling.
- Lecture -25 Deep Learning for Tribological Engineering
- Lecture -26 Data-Driven Models for Friction Prediction
- Lecture -27 Data-Driven Models for Wear Prediction
- Lecture -28 Data-Driven Models for Lubricant Optimization
- Lecture -29 Data-Driven Models for Tribofilm Formation
- Lecture -30 Data-Driven Models for Tribocorrosion Prediction
- Lecture -31 Prediction of coating and surface treatment performance
- Lecture -32 Optimization of surface engineering processes using machine learning
- Lecture -33 Uncertainty Quantification and Sensitivity Analysis
- Lecture -34 Data Management and Ethics in Data-Enabled Engineering
- Lecture -35 Case Studies in Data-Enabled Tribological Engineering
- Lecture -36 Future Directions in Data-Enabled Tribological Engineering
Evaluation process
Candidates for the Data-Enabled Tribological Engineering: From Experiments to Predictive Models certification course are required to appear for the examinations to receive the completion certificate.
IIT Delhi Frequently Asked Questions (FAQ's)
Candidates for the programme are required to have basic knowledge of material science, physics, chemistry, and mathematics to enroll for the course.
The course will be delivered online through a combination of video lectures, interactive discussions, practical exercises, and supplemental reading materials. Participants can access the course content at their convenience, allowing for flexibility in learning.
Yes, participants will receive a certification upon successful completion of the course, however, they have to pass the qualifying examination for the certification.
Yes, students will have continued access to course materials, including video lectures, reading materials, and supplementary resources, even after completing the course.
Participants will gain a comprehensive understanding of tribological principles, experimental techniques, data analysis methods, and predictive modeling techniques.