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Fees
₹12,00,000
Placement
92.0%
Avg Package
₹6,50,000
Highest Package
₹18,00,000
Fees
₹12,00,000
Placement
92.0%
Avg Package
₹6,50,000
Highest Package
₹18,00,000
Seats
240
Students
240
Seats
240
Students
240
The Tool and Die Engineering program at Phonics Group Of Institutions follows a structured academic calendar spanning eight semesters. Each semester includes core courses, departmental electives, science electives, and laboratory sessions designed to build both theoretical knowledge and practical skills.
| Semester | Course Code | Course Title | Credits (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | ENG101 | English for Engineering Communication | 3-0-0-3 | - |
| 1 | MAT101 | Calculus I | 4-0-0-4 | - |
| 1 | MAT102 | Linear Algebra and Differential Equations | 3-0-0-3 | MAT101 |
| 1 | PHY101 | Physics for Engineers | 3-0-0-3 | - |
| 1 | CHM101 | Chemistry for Engineers | 3-0-0-3 | - |
| 1 | CSE101 | Introduction to Programming | 2-0-2-3 | - |
| 1 | MAT103 | Engineering Graphics and Design | 2-0-0-2 | - |
| 1 | MAT104 | Basic Workshop Practice | 1-0-0-1 | - |
| 2 | MAT201 | Calculus II | 4-0-0-4 | MAT101 |
| 2 | MAT202 | Probability and Statistics | 3-0-0-3 | MAT101 |
| 2 | PHY201 | Thermodynamics and Heat Transfer | 3-0-0-3 | PHY101 |
| 2 | MEC201 | Mechanics of Materials | 3-0-0-3 | - |
| 2 | MEC202 | Manufacturing Processes I | 3-0-0-3 | - |
| 2 | MAT205 | Computer Aided Drafting (CAD) | 2-0-2-3 | CSE101 |
| 2 | MAT206 | Engineering Drawing | 2-0-0-2 | - |
| 3 | MAT301 | Calculus III | 4-0-0-4 | MAT201 |
| 3 | MAT302 | Numerical Methods | 3-0-0-3 | MAT201 |
| 3 | MEC301 | Machine Design I | 3-0-0-3 | MEC201 |
| 3 | MEC302 | Manufacturing Processes II | 3-0-0-3 | MEC202 |
| 3 | MAT303 | Materials Science | 3-0-0-3 | CHM101 |
| 3 | MAT304 | Strength of Materials | 3-0-0-3 | - |
| 3 | MAT305 | CAD/CAM Software Lab | 2-0-2-3 | MAT205 |
| 4 | MAT401 | Differential Equations | 3-0-0-3 | MAT201 |
| 4 | MEC401 | Machine Design II | 3-0-0-3 | MEC301 |
| 4 | MEC402 | Tool and Die Design | 3-0-0-3 | MEC301 |
| 4 | MAT402 | Fluid Mechanics | 3-0-0-3 | PHY201 |
| 4 | MAT403 | Manufacturing Systems | 3-0-0-3 | MEC202 |
| 4 | MAT404 | Industrial Engineering | 2-0-0-2 | - |
| 4 | MAT405 | CAM Lab | 2-0-2-3 | MAT305 |
| 5 | MAT501 | Advanced Mathematics | 4-0-0-4 | MAT401 |
| 5 | MEC501 | Automation in Manufacturing | 3-0-0-3 | MEC402 |
| 5 | MEC502 | Computer Numerical Control (CNC) | 3-0-0-3 | MEC401 |
| 5 | MAT502 | Welding Technology | 3-0-0-3 | - |
| 5 | MAT503 | Mold Design and Simulation | 3-0-0-3 | MEC402 |
| 5 | MAT504 | Electrical Drives and Control | 3-0-0-3 | - |
| 5 | MAT505 | CNC Programming Lab | 2-0-2-3 | MAT405 |
| 6 | MAT601 | Research Methodology | 2-0-0-2 | - |
| 6 | MEC601 | Advanced Tooling Systems | 3-0-0-3 | MEC502 |
| 6 | MEC602 | Smart Manufacturing Technologies | 3-0-0-3 | MEC501 |
| 6 | MAT602 | Advanced Materials Engineering | 3-0-0-3 | MAT303 |
| 6 | MAT603 | Quality Assurance and Metrology | 3-0-0-3 | - |
| 6 | MAT604 | Project Management | 2-0-0-2 | - |
| 6 | MAT605 | Advanced CNC and EDM Lab | 2-0-2-3 | MAT505 |
| 7 | MAT701 | Mini Project I | 4-0-0-4 | - |
| 7 | MEC701 | Industry 4.0 in Tooling | 3-0-0-3 | MEC602 |
| 7 | MEC702 | Entrepreneurship and Innovation | 2-0-0-2 | - |
| 7 | MAT702 | Digital Twin Simulation | 3-0-0-3 | MEC601 |
| 7 | MAT703 | Capstone Project Preparation | 2-0-0-2 | - |
| 7 | MAT704 | Internship Workshop | 1-0-0-1 | - |
| 8 | MAT801 | Final Year Thesis/Capstone Project | 8-0-0-8 | - |
| 8 | MEC801 | Professional Practice and Ethics | 2-0-0-2 | - |
| 8 | MAT802 | Advanced Manufacturing Research | 3-0-0-3 | MEC601 |
| 8 | MAT803 | Capstone Presentation and Viva | 2-0-0-2 | - |
These advanced courses are designed to deepen students' understanding of specialized areas within Tool and Die Engineering:
This course focuses on advanced programming techniques for complex CNC machines, including multi-axis machining, toolpath optimization, and simulation using CAM software. Students learn to create efficient programs for intricate dies and molds, ensuring maximum precision and minimal material waste.
Students study the principles of mold design, focusing on injection molding, die casting, and blow molding processes. Using advanced simulation tools like Moldflow and ANSYS, they learn to predict flow behavior, cooling rates, and potential defects in mold designs.
This course explores how IoT sensors, data analytics, and AI are integrated into manufacturing environments to enhance productivity and quality control. Students develop skills in deploying smart systems for monitoring and optimizing tooling operations.
Focused on 3D printing technologies applied to tooling design, this course teaches students how to produce prototypes and functional components using powder bed fusion, extrusion-based systems, and other additive manufacturing methods.
This elective delves into high-performance materials used in tooling applications, including superalloys, ceramics, and composites. Students gain hands-on experience with material testing, selection criteria, and application-specific design considerations.
Students learn statistical process control (SPC), calibration techniques, and metrology standards relevant to precision manufacturing. They also explore software tools for data analysis and quality reporting in industrial settings.
This course introduces automation concepts specifically tailored for tooling operations, covering robot programming, integration with CNC machines, and collaborative robotics applications in manufacturing environments.
Students examine sustainable practices in tooling design and manufacturing, including waste reduction, energy efficiency, recycling strategies, and eco-friendly material choices. This course emphasizes environmental responsibility alongside economic viability.
This advanced course explores the creation and implementation of digital twins—virtual replicas of physical tools and processes—to optimize performance, predict failures, and enhance maintenance strategies in manufacturing environments.
Focused on micro-machining, ultra-precision grinding, and surface finish optimization, this course equips students with advanced machining skills required for high-tolerance tooling applications across aerospace and electronics industries.
The department places a strong emphasis on project-based learning, encouraging students to apply theoretical concepts in real-world scenarios. The framework includes:
Project selection involves a proposal phase where students present their ideas to faculty mentors based on their interests and career aspirations. Evaluation criteria include innovation, technical execution, documentation quality, presentation skills, and impact potential.