M. Tech in Computational Mechanics
Computational mechanics addresses the study of problems grounded in mechanics through the use of numerical methods. Advancement of computational hardware over the past few decades has radically changed the product design lifecycle. These advancements have enabled simulation based design to become an important part of the design process. The success of computational approaches can be assessed by the increasing adoption of these techniques across various industry verticals and their growing impact on the economy. As per Industry ARC reports, the global FEM market would reach $3.06B by 2025 and as per Business wire reports, the global CFD market is expected to reach a value of $3.74B by 2026.
About the Program
This 2 year Masters program will be offered by the Department of Mechanical & Aerospace Engineering, Ecole Centrale School of Engineering, Mahindra University. The program emphasizes on three aspects, viz, programming, widely used computational methods such as FEM and CFD, and coupled problems/ Multiphysics. An additional differentiator is the increased number of hours of practical training which would focus on solving industry relevant problems. Emphasis on these areas and form of pedagogy has been placed in accordance with inputs from multiple industry experts from a wide range of industry verticals. Further, students will be trained on advanced concepts and applications through core electives and open electives which will cover areas such as turbulent flows, non-linear FEM, Optimization.
The program has been designed to allocate about a third of the required 62 credits for extended industry internship or for conducting original research under the supervision of the faculty at Mahindra University. The academics of the second year of the program are scheduled to provide the student the opportunity of pursuing a full-time internship. This enables students to understand the work culture and expectations in the industry and also provides an in-depth experience in solving industry relevant problems.
Graduates of the program are expected to
Structure of Curriculum
The curriculum of the proposed program has a balance of courses in Solid and Fluid mechanics, Dynamics and Programming and data analysis. Students undergo mandatory ‘core’ courses in basic programming, computational methods applied to Solids, Fluids and Dynamics. Further to these, students have the option of choosing electives which would deepen their knowledge in selected streams. The curriculum is designed to make the graduates future ready by incorporating differentiators such as Multiphysics and data analysis in the basic requirements. Further, the program is structure in such a way that an extended internship/ research project can be carried out in the second year.
Note: * May have to undergo a bridge course prior to the commencement of the M.Tech. Program.
Note: Deserving candidates will be awarded stipend as per university policy.
Graduates of the program are expected to function as Design/ Mechanical Engineer, Analysis lead, Research engineer in any of the following verticals
Proposed Course Curriculum Outline – Semester Wise
|02||Programming in Python||0||0||3||1.5|
|03||Finite Element Methods and Lab||3||0||2||4|
|04||Computational Fluid Dynamics and programming||3||0||2||4|
|05||Introduction to Continuum Mechanics||3||0||0||1.5|
|07||Introduction to Systems Engg.||3||0||0||1.5|
|Total Credits for Semester||17|
|01||Multiphysics – coupled problems||2||0||1||2.5|
|06||Computational dynamics and vibrations||3||0||2||4|
|07||Experimental methods and statistics||3||0||0||1.5|
|08||Communication skills and technical writing||2||0||0||2|
|Credits for the Semester||18|
|02||Internship/ Masters Thesis||0||0||16||8|
|Credits for the Semester||11|
|02||Masters thesis/ Internship||3||0||24||12|
|Credits for the Semester||15|
- Non-Linear FEM
- Material Modelling
- Turbulent Flows
- Compressible Flows
- Non-Linear Finite Element Methods (Only in Spring)
- Material Modelling (Only in Spring)
- Fracture and Fatigue
- Failure modeling and Modelling using explicit FEM
- Modeling of Composite materials
- Turbulent Flows (Only in Spring)
- Compressible Flows (Only in Spring)
- Reacting flows
- Design Optimization
- ML and AI in mechanics
- Modeling dynamics of physical systems. (Only in Fall)