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Fees
₹8,00,000
Placement
92.5%
Avg Package
₹6,00,000
Highest Package
₹12,00,000
Fees
₹8,00,000
Placement
92.5%
Avg Package
₹6,00,000
Highest Package
₹12,00,000
Seats
120
Students
1,200
Seats
120
Students
1,200
The mechanical engineering curriculum at Ramchandra Chandravansi University Palamu is designed to provide students with a comprehensive understanding of mechanical systems and their applications. The program is structured over eight semesters, with a balanced mix of core subjects, departmental electives, science electives, and laboratory sessions.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | MAT101 | Engineering Mathematics I | 3-1-0-4 | None |
| 1 | PHY101 | Physics for Engineers | 3-1-0-4 | None |
| 1 | CHM101 | Chemistry for Engineers | 3-1-0-4 | None |
| 1 | ENG101 | English for Engineers | 3-0-0-3 | None |
| 1 | ME101 | Introduction to Engineering Design | 2-0-2-3 | None |
| 1 | ME102 | Engineering Graphics | 2-0-2-3 | None |
| 2 | MAT201 | Engineering Mathematics II | 3-1-0-4 | MAT101 |
| 2 | PHY201 | Thermodynamics | 3-1-0-4 | PHY101 |
| 2 | ME201 | Strength of Materials | 3-1-0-4 | ME101 |
| 2 | ME202 | Manufacturing Processes | 3-1-0-4 | ME101 |
| 2 | ME203 | Fluid Mechanics | 3-1-0-4 | PHY201 |
| 2 | ME204 | Computer Programming | 2-0-2-3 | None |
| 3 | MAT301 | Engineering Mathematics III | 3-1-0-4 | MAT201 |
| 3 | ME301 | Heat Transfer | 3-1-0-4 | PHY201 |
| 3 | ME302 | Machine Design | 3-1-0-4 | ME201 |
| 3 | ME303 | Control Systems | 3-1-0-4 | MAT301 |
| 3 | ME304 | Materials Science | 3-1-0-4 | CHM101 |
| 3 | ME305 | Engineering Economics | 3-0-0-3 | MAT201 |
| 4 | MAT401 | Engineering Mathematics IV | 3-1-0-4 | MAT301 |
| 4 | ME401 | Advanced Thermodynamics | 3-1-0-4 | ME301 |
| 4 | ME402 | Computational Fluid Dynamics | 3-1-0-4 | ME303 |
| 4 | ME403 | Renewable Energy Technologies | 3-1-0-4 | ME301 |
| 4 | ME404 | Advanced Manufacturing Processes | 3-1-0-4 | ME202 |
| 4 | ME405 | Project Management | 3-0-0-3 | ME305 |
| 5 | ME501 | Robotics and Automation | 3-1-0-4 | ME303 |
| 5 | ME502 | Biomechanics | 3-1-0-4 | ME301 |
| 5 | ME503 | Advanced Materials | 3-1-0-4 | ME304 |
| 5 | ME504 | Finite Element Analysis | 3-1-0-4 | MAT401 |
| 5 | ME505 | Environmental Impact Assessment | 3-1-0-4 | ME301 |
| 6 | ME601 | Industry 4.0 | 3-1-0-4 | ME501 |
| 6 | ME602 | Smart Manufacturing Systems | 3-1-0-4 | ME404 |
| 6 | ME603 | Energy Storage Systems | 3-1-0-4 | ME401 |
| 6 | ME604 | Advanced Turbomachinery | 3-1-0-4 | ME303 |
| 6 | ME605 | Machine Learning for Engineers | 3-1-0-4 | MAT401 |
| 7 | ME701 | Capstone Project I | 4-0-0-4 | ME501 |
| 7 | ME702 | Advanced Project Management | 3-1-0-4 | ME505 |
| 7 | ME703 | Research Methodology | 2-0-2-3 | ME501 |
| 7 | ME704 | Special Topics in Mechanical Engineering | 3-1-0-4 | ME601 |
| 8 | ME801 | Final Year Thesis | 6-0-0-6 | ME701 |
| 8 | ME802 | Internship | 2-0-0-2 | ME701 |
| 8 | ME803 | Professional Ethics | 2-0-0-2 | ME701 |
Advanced departmental elective courses in mechanical engineering at Ramchandra Chandravansi University Palamu are designed to provide students with in-depth knowledge in specialized areas. These courses are offered in the fifth and sixth semesters and are led by faculty members who are experts in their respective fields.
Robotics and Automation: This course introduces students to the principles and applications of robotics and automation. Students learn about robot kinematics, dynamics, control systems, and sensor integration. The course includes hands-on laboratory sessions where students build and program robots.
Biomechanics: This course explores the application of mechanical engineering principles to biological systems. Students study the mechanics of human movement, biomechanical modeling, and medical device design. The course includes laboratory sessions involving motion analysis and biomechanical testing.
Advanced Materials: This course provides an in-depth study of advanced materials used in engineering applications. Students explore the properties, processing, and applications of composites, ceramics, and smart materials. The course includes laboratory sessions involving materials characterization and testing.
Finite Element Analysis: This course introduces students to the finite element method for engineering analysis. Students learn to use computational tools to model and analyze complex engineering problems. The course includes hands-on sessions with industry-standard software.
Environmental Impact Assessment: This course focuses on assessing the environmental impact of engineering projects. Students learn about environmental regulations, impact assessment methodologies, and sustainable engineering practices. The course includes case studies and field visits.
Industry 4.0: This course explores the principles and applications of Industry 4.0 technologies. Students study the integration of IoT, AI, and automation in manufacturing processes. The course includes laboratory sessions involving smart manufacturing systems.
Smart Manufacturing Systems: This course focuses on the design and implementation of smart manufacturing systems. Students learn about digital twins, predictive maintenance, and real-time monitoring systems. The course includes hands-on sessions with industrial automation tools.
Energy Storage Systems: This course explores the principles and applications of energy storage technologies. Students study batteries, supercapacitors, and other energy storage systems. The course includes laboratory sessions involving energy storage testing and characterization.
Advanced Turbomachinery: This course provides an in-depth study of turbomachinery design and analysis. Students learn about turbine and pump design, performance analysis, and optimization techniques. The course includes laboratory sessions involving turbomachinery testing.
Machine Learning for Engineers: This course introduces students to machine learning techniques for engineering applications. Students learn about data preprocessing, model selection, and implementation of machine learning algorithms. The course includes hands-on sessions with machine learning software.
The department's philosophy on project-based learning emphasizes the integration of theoretical knowledge with practical application. Students are encouraged to work on real-world engineering problems from their early semesters, with increasing complexity and scope as they progress through the program.
Mini-projects are mandatory in the third and fourth semesters. These projects are designed to reinforce concepts learned in core courses and provide students with hands-on experience in engineering design and analysis. Projects are typically completed in teams, with each team member contributing to specific aspects of the project.
The final-year thesis or capstone project is a comprehensive endeavor that allows students to integrate knowledge from multiple disciplines and apply it to a complex engineering challenge. Students select their projects in consultation with faculty mentors, ensuring alignment with their interests and career goals.
Project evaluation criteria include design quality, technical execution, innovation, teamwork, and presentation skills. Students are assessed on their ability to solve engineering problems, communicate their solutions effectively, and demonstrate critical thinking and creativity.
