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M-TECH in Cad Cam at B. S. Abdur Rahman Crescent Institute of Science and Technology
Chengalpattu, Tamil Nadu
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About the Specialization
What is CAD-CAM at B. S. Abdur Rahman Crescent Institute of Science and Technology Chengalpattu?
This M.Tech CAD-CAM program at B.S. Abdur Rahman Crescent Institute of Science and Technology focuses on advanced concepts in Computer-Aided Design and Computer-Aided Manufacturing. It equips students with skills crucial for product development, simulation, and automated manufacturing processes, highly relevant in India''''s growing industrial and automotive sectors. The program emphasizes integrated product development from design to realization.
Who Should Apply?
This program is ideal for mechanical, production, and manufacturing engineering graduates seeking to specialize in digital design and advanced manufacturing. It also suits working professionals aiming to upgrade their skills in CAD, CAM, robotics, and automation for career advancement in Indian industries. Enthusiastic learners keen on solving complex engineering challenges through computational tools will thrive.
Why Choose This Course?
Graduates can expect robust career paths as Design Engineers, Manufacturing Automation Specialists, CAE Analysts, or R&D Engineers in Indian and global MNCs. Entry-level salaries typically range from INR 4-7 LPA, with significant growth potential for experienced professionals. The program aligns with industry demands for professionals proficient in Industry 4.0 technologies and smart manufacturing.
Student Success Practices
Foundation Stage
Build Strong Software Proficiency- (Semester 1-2)
Dedicate time beyond coursework to master CAD/CAE/CAM software (e.g., SolidWorks, CATIA, ANSYS, Mastercam) through tutorials and personal projects. Participate in campus workshops and seek peer mentorship to enhance hands-on skills.
Tools & Resources
NPTEL courses, YouTube tutorials, LinkedIn Learning, Institutional software licenses, Student technical clubs
Career Connection
Essential for entry-level design, analysis, and manufacturing roles, forming the basis for practical application in internships and industrial projects.
Develop a Solid Grasp of Core Principles- (Semester 1-2)
Focus on understanding the underlying engineering principles of subjects like Advanced FEA, Theory of Vibration, and Manufacturing Technologies. Actively engage in lab sessions to link theoretical knowledge with practical, real-world applications.
Tools & Resources
Textbooks, Research papers, Lab manuals, Faculty office hours, Online technical forums
Career Connection
Critical for problem-solving, innovative design, and developing robust solutions in manufacturing and product development roles across various industries.
Engage in Early Research Exploration- (Semester 1-2)
Start reading research papers related to CAD-CAM, AI in manufacturing, and automation from the first semester. Discuss potential project ideas with professors and seniors to identify areas of interest for your master''''s thesis or advanced studies.
Tools & Resources
IEEE Xplore, Scopus, Google Scholar, Institutional library databases, Departmental research labs
Career Connection
Prepares students for thesis work, cultivates research aptitude, and can lead to publishing opportunities or R&D positions in Indian and international organizations.
Intermediate Stage
Undertake Industry-Relevant Mini-Projects- (Semester 2-3)
Apply theoretical knowledge gained from core and elective courses (e.g., Robotics, Rapid Prototyping) by developing small-scale projects. Collaborate with peers or faculty on projects that address and solve real-world industrial problems.
Tools & Resources
Arduino/Raspberry Pi for automation, 3D printers, Open-source CAD/CAM tools, Departmental workshops and fabrication facilities
Career Connection
Builds a practical portfolio, demonstrates crucial problem-solving skills, and significantly enhances employability for specialized engineering roles in manufacturing.
Seek Internships and Industrial Training- (Semester 2-3)
Actively search for summer internships (after Semester 2) or winter training in manufacturing companies, design firms, or R&D centers in India. Focus on gaining hands-on experience with advanced machinery, software, and industrial processes.
Tools & Resources
University placement cell, LinkedIn, Internshala, Company career pages, Faculty networks
Career Connection
Translates academic learning into practical experience, builds valuable industry contacts, and often leads to pre-placement offers with leading companies.
Participate in Technical Competitions and Workshops- (Semester 2-3)
Join engineering design competitions (e.g., BAJA SAEINDIA, E-Baja) or hackathons focused on manufacturing challenges. Attend specialized workshops on new technologies like AI/ML in manufacturing or advanced simulation to broaden expertise.
Tools & Resources
Competition platforms, Industry-specific training programs, Professional body memberships (e.g., SAE, ASME student chapters)
Career Connection
Develops teamwork, critical thinking, and problem-solving skills under pressure, qualities highly valued by employers in the Indian manufacturing sector.
Advanced Stage
Focus on a High-Impact Master''''s Project- (Semester 3-4)
Choose a research-intensive or industry-sponsored project for your Phase I and Phase II project work. Aim for outcomes that can be patented, published, or directly implemented in an industrial setting, leveraging advanced CAD-CAM tools.
Tools & Resources
Advanced simulation software, Experimental setups, Industry mentors, Research funding opportunities
Career Connection
Showcases deep specialization and problem-solving capability, serving as a strong differentiator for R&D or senior engineering roles and future academic pursuits.
Network with Industry Professionals and Alumni- (Semester 3-4)
Attend industry conferences, seminars, and alumni networking events organized by the institution. Connect with professionals on platforms like LinkedIn to explore career opportunities, gain insights, and build a robust professional network.
Tools & Resources
LinkedIn, Industry associations (e.g., IMTMA, FICCI), Alumni portal, Career fairs
Career Connection
Crucial for effective job searching, mentorship, and staying updated on dynamic industry trends, leading to better placement opportunities and career growth.
Prepare for Placements and Interviews Strategically- (Semester 3-4)
Refine your resume and portfolio, highlighting projects, software skills, and internship experiences. Practice technical and HR interview questions, focusing on conceptual understanding and problem-solving scenarios relevant to CAD-CAM.
Tools & Resources
University career services, Mock interviews, Online aptitude tests platforms, Technical interview preparation guides
Career Connection
Maximizes the chances of securing desirable placements in top manufacturing, automotive, and R&D companies upon graduation from the program.
Program Structure and Curriculum
Eligibility:
- B.E. / B.Tech. in Mechanical Engineering, Manufacturing Engineering, Automobile Engineering, Production Engineering, Mechatronics Engineering, Marine Engineering, Aeronautical Engineering, Aerospace Engineering, Industrial Engineering, Industrial and Production Engineering, Material Science and Engineering or equivalent with a minimum of 50% marks in the qualifying examination.
Duration: 2 years (4 semesters)
Credits: 73 Credits
Assessment: Assessment pattern not specified
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MMC5101 | Advanced Theory of Vibration | Core | 4 | Vibration fundamentals, Single degree of freedom systems, Multi-degree of freedom systems, Continuous systems, Vibration control |
| MMC5102 | Advanced Finite Element Analysis | Core | 4 | Introduction to FEA, 1-D elements and 2-D elements, Isoparametric elements, Non-linear analysis, Dynamic analysis |
| MMC5103 | Advanced CAD/CAM | Core | 4 | Geometric modeling, Surface modeling and Solid modeling, NC part programming, CAM systems, Data exchange formats |
| MMC5104 | Applied Statistics and Optimization Techniques | Core | 4 | Probability and statistics, Regression analysis, Design of experiments, Linear programming, Non-linear programming |
| MMC5105 | Advanced Manufacturing Technology | Core | 4 | Advanced machining processes, Additive manufacturing, Rapid prototyping, Micro-manufacturing, Metrology and inspection |
| MMC5106 | Finite Element Analysis Lab | Lab | 2 | FEA software usage, Static analysis, Modal analysis, Thermal analysis, Introduction to explicit dynamics |
| MMC5107 | CAD/CAM Lab | Lab | 2 | CAD software usage, Solid modeling and Surface modeling, NC programming, CAM software, Tool path generation |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MMC5108 | Engineering Materials and Metallurgy | Core | 4 | Structure of materials, Phase diagrams, Heat treatment, Mechanical properties, Advanced materials |
| MMC5109 | Integrated Product Design and Manufacturing | Core | 4 | Product life cycle, Design for manufacturing and assembly, Concurrent engineering, Value engineering, Product data management |
| MMC5110 | Industrial Robotics and Automation | Core | 4 | Robot kinematics and dynamics, Robot control, Robot programming, Robot sensing, Industrial applications of robotics |
| MMC5111 | Rapid Prototyping and Tooling | Core | 4 | Rapid prototyping processes, Stereolithography, Fused deposition modeling, Selective laser sintering, Rapid tooling |
| MMC5001 | Advanced CNC Machining | Professional Elective I | 3 | CNC machine tools, CNC programming, Machining strategies, Tooling and fixtures, Process planning |
| MMC5002 | Precision Manufacturing | Professional Elective I | 3 | Tolerances and fits, Metrology and inspection, Ultra-precision machining, Micro-machining, Surface integrity |
| MMC5003 | Composites Manufacturing | Professional Elective I | 3 | Composite materials, Manufacturing processes, Layup techniques, Curing and finishing, Quality control of composites |
| MMC5004 | Advanced Metal Forming | Professional Elective I | 3 | Bulk deformation processes, Sheet metal forming, Forging and extrusion, Rolling and drawing, Formability analysis |
| MMC5005 | Computational Fluid Dynamics | Professional Elective I | 3 | Governing equations of fluid flow, Discretization methods, Grid generation, Turbulence models, Applications in engineering |
| MMC5006 | Reverse Engineering | Professional Elective I | 3 | Digitalization techniques, Point cloud processing, Surface reconstruction, CAD modeling from scan data, Applications in design and manufacturing |
| MMC5007 | Design of Experiments | Professional Elective II | 3 | Principles of DOE, Factorial designs, Taguchi methods, Response surface methodology, Optimization techniques |
| MMC5008 | Virtual Reality in Manufacturing | Professional Elective II | 3 | VR hardware and software, Virtual prototyping, Manufacturing simulation, Human-machine interaction, Industrial applications |
| MMC5009 | Supply Chain Management | Professional Elective II | 3 | Supply chain design, Logistics and transportation, Inventory management, Supply chain optimization, Global supply chain strategies |
| MMC5010 | Total Quality Management | Professional Elective II | 3 | Quality principles, TQM tools and techniques, Statistical process control, Six Sigma methodology, Lean manufacturing |
| MMC5011 | Industry 4.0 Technologies | Professional Elective II | 3 | Internet of Things (IoT), Big Data analytics, AI in manufacturing, Cloud computing, Cyber-physical systems |
| MMC5012 | Artificial Intelligence and Machine Learning for Manufacturing | Professional Elective II | 3 | AI fundamentals, Machine learning algorithms, Predictive maintenance, Quality control applications, Process optimization |
| MMC5112 | Industrial Robotics and Automation Lab | Lab | 2 | Robot programming, Robot calibration, Gripper design, Sensor integration, Industrial robot applications |
| MMC5113 | Advanced Manufacturing Technology Lab | Lab | 2 | CNC programming, Additive manufacturing processes, Metrology equipment, Material characterization, Non-destructive testing |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MMC6101 | Project Work Phase I | Project | 6 | Literature survey, Problem identification and formulation, Methodology development, Preliminary design or experimental plan, Report writing and presentation |
| MMC6001 | Advanced Mechatronics | Professional Elective III | 3 | Mechatronic system design, Sensors and actuators, Microcontrollers and embedded systems, System integration, Control strategies |
| MMC6002 | Smart Materials and Structures | Professional Elective III | 3 | Piezoelectric materials, Shape memory alloys, Magnetorheological fluids, Smart composites, Applications in engineering |
| MMC6003 | Maintenance Engineering | Professional Elective III | 3 | Reliability engineering, Maintenance strategies, Condition monitoring, Predictive maintenance, Total Productive Maintenance (TPM) |
| MMC6004 | Additive Manufacturing Applications | Professional Elective III | 3 | Design for Additive Manufacturing (DFAM), Material selection for AM, Post-processing techniques, Applications in various industries, Case studies and trends |
| MMC6005 | Digital Manufacturing | Professional Elective IV | 3 | Digital twins, Manufacturing simulation, Cyber-physical systems, IoT in manufacturing, Data analytics for production |
| MMC6006 | Product Lifecycle Management | Professional Elective IV | 3 | PLM concepts and benefits, Product data management, Product development processes, Collaboration in PLM, PLM software tools |
| MMC6007 | Non-Destructive Testing | Professional Elective IV | 3 | Introduction to NDT methods, Ultrasonic testing, Radiography, Eddy current testing, Magnetic particle inspection |
| MMC6008 | Bio-Inspired Design and Manufacturing | Professional Elective IV | 3 | Biomimetics and nature-inspired design, Generative design, Bionic manufacturing, Self-healing materials, Applications in engineering |
| OECXXX | Open Elective I | Open Elective | 3 | Chosen from a pool of open electives from other departments based on student interest and availability. |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MMC6102 | Project Work Phase II | Project | 14 | Experimental work or advanced simulation, Data analysis and interpretation, Results discussion and conclusion, Thesis preparation and writing, Project defense and viva-voce |
