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M-TECH in Cad Cam at Jawaharlal Nehru Technological University Kakinada
Kakinada, Andhra Pradesh
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About the Specialization
What is CAD/CAM at Jawaharlal Nehru Technological University Kakinada Kakinada?
This M.Tech CAD/CAM program at Jawaharlal Nehru Technological University Kakinada focuses on integrating computer-aided design, manufacturing, and engineering analysis to create innovative product development solutions. It addresses the growing need for skilled professionals in India''''s advanced manufacturing and automation sectors, providing a comprehensive understanding of digital product realization and smart factory concepts.
Who Should Apply?
This program is ideal for mechanical, production, or automobile engineering graduates seeking entry into design, manufacturing, or R&D roles. It also suits working professionals aiming to upgrade their skills in advanced digital manufacturing tools and techniques, or career changers transitioning into the rapidly evolving automation and additive manufacturing industry in India.
Why Choose This Course?
Graduates of this program can expect to pursue rewarding careers as CAD/CAM engineers, design analysts, manufacturing specialists, or R&D professionals in Indian companies like Tata Motors, Mahindra & Mahindra, L&T, or global MNCs with Indian operations. Entry-level salaries range from INR 4-7 LPA, with significant growth potential up to INR 15+ LPA for experienced roles, aligned with industry demand for expertise in digital product realization.
Student Success Practices
Foundation Stage
Master Core Design & Analysis Software- (Semester 1-2)
Dedicate consistent time to hands-on practice with industry-standard CAD (e.g., SolidWorks, CATIA, AutoCAD) and CAE (e.g., Ansys, Abaqus) software, beyond lab hours. Focus on understanding the underlying principles of geometric modeling and finite element analysis through extensive application.
Tools & Resources
Software tutorials, Online courses (Coursera, NPTEL for CAD/CAE), YouTube channels, JNTUK computer labs
Career Connection
Proficiency in these tools is non-negotiable for design and analysis roles, directly improving employability for junior CAD/CAE engineer positions and enhancing project outcomes.
Strengthen Mathematical & Optimization Fundamentals- (Semester 1-2)
Actively engage with advanced mathematics, mechanics of solids, and optimization techniques. Solve a wide variety of problems from textbooks and online platforms to build a strong analytical foundation crucial for advanced design and manufacturing challenges and research.
Tools & Resources
NPTEL courses on Advanced Mechanics/Optimization, GATE preparation materials for engineering mathematics, Problem sets from prescribed textbooks
Career Connection
A solid theoretical base enhances problem-solving abilities, vital for R&D roles, product development, and understanding complex engineering simulations, setting a strong base for innovation.
Participate in Technical Workshops & Seminars- (Semester 1-2)
Actively seek out and attend technical workshops, guest lectures, and seminars organized by the department or professional bodies (e.g., SAE India, ISME) focusing on CAD/CAM, advanced manufacturing, and emerging technologies like AI/ML in engineering.
Tools & Resources
JNTUK Mechanical Engineering department announcements, Professional society event calendars, LinkedIn Learning
Career Connection
Exposure to latest industry trends and networking opportunities with professionals provides insights into potential career paths and helps build an early professional network for future collaborations.
Intermediate Stage
Engage in Industry-Relevant Mini Projects- (Semester 3)
Proactively identify and undertake small-scale design, analysis, or manufacturing projects, ideally in collaboration with local industries or faculty. Focus on applying learned CAD/CAM principles to solve real-world engineering problems and develop practical prototypes.
Tools & Resources
JNTUK faculty guidance, Local SMEs for internship/project opportunities, Open-source hardware projects, Online design challenges
Career Connection
Demonstrating practical problem-solving skills through projects is highly valued by recruiters, providing tangible examples for interviews and enhancing the resume for specialized roles.
Explore Elective Specializations Deeply- (Semester 2-3)
Choose elective courses strategically based on career interests (e.g., Tool Engineering, Robotics, Additive Manufacturing) and delve deeper into their practical applications. Pursue certifications or additional online courses related to chosen electives for expertise.
Tools & Resources
MOOCs (edX, Coursera), Specialized software for the chosen elective (e.g., robot simulation software), Industry reports on emerging technologies
Career Connection
Developing specialized expertise makes you a more targeted and valuable candidate for specific roles in industries adopting these advanced technologies, enhancing your competitive edge.
Develop Strong Communication & Presentation Skills- (Semester 2-3)
Actively participate in the Seminar course and project discussions. Practice presenting technical concepts clearly and concisely, both orally and in written reports. Seek feedback to improve and hone your ability to articulate complex ideas effectively.
Tools & Resources
JNTUK communication skill development workshops, Toastmasters International, Peer review groups, Practicing presentations to a general audience
Career Connection
Effective communication is crucial for technical leads, project managers, and even individual contributors to articulate ideas, present findings, and collaborate effectively in a professional setting.
Advanced Stage
Conduct High-Impact Project Work- (Semester 4)
Focus intensely on the M.Tech Project Work (Part-II), aiming for innovative solutions, publications in conferences/journals (even local/student ones), or developing a working prototype. Treat it as a comprehensive demonstration of your entire program learning.
Tools & Resources
Research labs at JNTUK, Faculty mentors, Industry contacts for real-world problems, Literature databases (Scopus, Web of Science)
Career Connection
A well-executed and impactful project is a powerful differentiator, showcasing research capabilities, problem-solving prowess, and potential for innovation, significantly boosting placement prospects.
Prepare for Placements and Professional Interviews- (Semester 3-4)
Actively engage in career counseling sessions, mock interviews, and resume building workshops. Practice technical questions related to CAD/CAM, manufacturing processes, and design principles, as well as behavioral interview questions specific to the industry.
Tools & Resources
JNTUK Placement Cell, Online interview preparation platforms (e.g., InterviewBit), Company-specific interview experiences
Career Connection
Thorough preparation increases confidence and performance in interviews, leading to successful placements in reputable companies and securing desired job roles in core engineering.
Network with Alumni and Industry Mentors- (Semester 3-4)
Leverage JNTUK''''s alumni network and participate in industry meetups, both online and offline. Seek guidance from experienced professionals in the CAD/CAM field regarding career trajectories, skill requirements, and industry insights for long-term growth.
Tools & Resources
LinkedIn, JNTUK alumni association events, Industry conferences and expos
Career Connection
Networking opens doors to hidden job opportunities, mentorship, and invaluable career advice, helping in long-term professional growth and leadership development within the engineering sector.
Program Structure and Curriculum
Eligibility:
- Admissions based on GATE/PGECET/Any other State Level Entrance Test/ by the University. (Generally, B.Tech/B.E. in Mechanical/Production/Automobile Engineering or equivalent is required).
Duration: 4 semesters / 2 years
Credits: 68 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| R20MED1S01 | Advanced Mechanics of Solids | Core | 4 | Analysis of stress and strain, Theories of failure, Unsymmetrical bending, Torsion of non-circular sections, Plastic deformation |
| R20MED1S02 | Advanced Optimization Techniques | Core | 4 | Classical optimization techniques, Linear programming, Non-linear programming, Geometric programming, Dynamic programming |
| R20MED1S03 | Computer Aided Design | Core | 4 | Geometric modeling, CAD hardware and software, Transformations, Curves and surfaces, Solid modeling |
| R20MED1S04 | Advanced Manufacturing Technology | Core | 4 | Advanced machining processes, Additive manufacturing, High speed machining, Micro machining, Green manufacturing |
| R20MED1L01 | Advanced Manufacturing Lab | Lab | 2 | CNC programming, EDM, Micro-machining, Rapid prototyping, Metrology experiments |
| R20MED1L02 | Computer Aided Design Lab | Lab | 2 | 2D/3D modeling software, Parametric design, Assembly modeling, Finite element analysis basics, Reverse engineering |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| R20MED2S01 | Computer Aided Manufacturing | Core | 4 | NC, CNC, DNC systems, Part programming, Tool path generation, FMS, Robotics in manufacturing |
| R20MED2S02 | Design for Manufacturing and Assembly | Core | 4 | DFM/DFA principles, Material selection, Process capability, Tolerance analysis, Cost reduction strategies |
| R20MED2S03 | Finite Element Method | Core | 4 | Basic concepts of FEM, Stress, strain, displacement analysis, Heat transfer analysis, Dynamic analysis, Software applications |
| R20MED2E01A | Elective-I: Tool Engineering and Design | Elective | 4 | Cutting tools, Jig and fixture design, Press tools, Die design, Tool materials |
| R20MED2E01B | Elective-I: Reverse Engineering | Elective | 4 | Digitization techniques, Point cloud processing, Surface reconstruction, Geometric data processing, Medical applications |
| R20MED2E01C | Elective-I: Artificial Intelligence and Expert Systems | Elective | 4 | AI principles, Knowledge representation, Expert systems, Machine learning basics, Neural networks |
| R20MED2E02A | Elective-II: Computer Aided Process Planning | Elective | 4 | CAPP functions, Variant and generative approaches, Process planning modules, Integration with CAD/CAM |
| R20MED2E02B | Elective-II: Robotics | Elective | 4 | Robot kinematics, Dynamics, Trajectory planning, Sensors, Robot programming |
| R20MED2E02C | Elective-II: Additive Manufacturing | Elective | 4 | Principles of AM, Processes (SLA, FDM, SLS), Materials, Design for AM, Applications |
| R20MED2L03 | Seminar | Project/Seminar | 2 | Research methodology, Literature review, Presentation skills, Technical report writing |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| R20MED3P01 | Project Work Part-I | Project | 14 | Problem identification, Literature survey, Methodology development, Experimental setup/simulation, Preliminary results |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| R20MED4P02 | Project Work Part-II | Project | 14 | Data analysis, Result interpretation, Thesis writing, Project defense, Prototype development/implementation |
