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Pune, Maharashtra, India

Duration

3 Years

Tool and Die Engineering

Bishamber Sahai Diploma Engineering College
Duration
3 Years
Tool and Die DIPLOMA OFFLINE

Duration

3 Years

Tool and Die Engineering

Bishamber Sahai Diploma Engineering College
Duration
Apply

Fees

₹1,20,000

Placement

94.0%

Avg Package

₹4,50,000

Highest Package

₹8,00,000

OverviewAdmissionsCurriculumFeesPlacements
3 Years
Tool and Die
DIPLOMA
OFFLINE

Fees

₹1,20,000

Placement

94.0%

Avg Package

₹4,50,000

Highest Package

₹8,00,000

Seats

30

Students

120

ApplyCollege

Seats

30

Students

120

Curriculum

Comprehensive Course Structure

Semester Course Code Course Title Credit Structure (L-T-P-C) Prerequisites
I MATH101 Mathematics I 3-1-0-4 -
PHYS101 Physics I 3-1-0-4 -
CHEM101 Chemistry I 3-1-0-4 -
ENG101 English Communication 3-0-0-3 -
COMP101 Computer Programming 2-0-2-3 -
WSTK101 Workshop Technology I 0-0-4-2 -
ENG102 Engineering Graphics 3-1-0-4 -
MECH101 Applied Mechanics 3-1-0-4 -
MATH102 Mathematics II 3-1-0-4 MATH101
PHY102 Physics II 3-1-0-4 PHYS101
II MATH201 Mathematics III 3-1-0-4 MATH102
MECH201 Mechanics of Materials 3-1-0-4 MECH101
MATH202 Statistics and Probability 3-1-0-4 MATH102
COMP201 Data Structures and Algorithms 3-1-0-4 COMP101
WSTK201 Workshop Technology II 0-0-4-2 WSTK101
ENG201 Basic Electronics 3-1-0-4 -
MATL201 Materials Science 3-1-0-4 -
MECH202 Fluid Mechanics 3-1-0-4 MECH101
MATH203 Mathematics IV 3-1-0-4 MATH201
PHYS201 Thermodynamics 3-1-0-4 PHY102
III MATH301 Mathematics V 3-1-0-4 MATH203
MECH301 Manufacturing Processes I 3-1-0-4 MECH201
COMP301 Computer Aided Design 2-0-2-3 COMP201
MATL301 Mechanical Properties of Materials 3-1-0-4 MATL201
WSTK301 Advanced Workshop Technology 0-0-4-2 WSTK201
MECH302 Machine Design I 3-1-0-4 MECH201
COMP302 Computer Aided Manufacturing 2-0-2-3 COMP301
MATL302 Surface Engineering 3-1-0-4 MATL301
MECH303 Tool Design Fundamentals 3-1-0-4 MECH302
ENG301 Industrial Automation 3-1-0-4 -
IV MATH401 Mathematics VI 3-1-0-4 MATH301
MECH401 Manufacturing Processes II 3-1-0-4 MECH301
COMP401 Simulation and Modeling 2-0-2-3 COMP302
MATL401 Advanced Materials 3-1-0-4 MATL301
WSTK401 Tooling and Die Construction 0-0-4-2 WSTK301
MECH402 Machine Design II 3-1-0-4 MECH302
MATL402 Failure Analysis and Testing 3-1-0-4 MATL302
MECH403 Advanced Tool Design 3-1-0-4 MECH303
ENG401 Quality Control and Metrology 3-1-0-4 -
V MATH501 Advanced Mathematics 3-1-0-4 MATH401
MECH501 Automation in Manufacturing 3-1-0-4 ENG401
COMP501 Industrial Robotics 2-0-2-3 COMP401
MATL501 Nanomaterials and Their Applications 3-1-0-4 MATL401
WSTK501 Advanced Tooling Techniques 0-0-4-2 WSTK401
MECH502 Product Development and Innovation 3-1-0-4 MECH402
MECH503 Research Methodology 3-1-0-4 -
VI MATH601 Applied Mathematics 3-1-0-4 MATH501
MECH601 Sustainable Manufacturing 3-1-0-4 MECH501
COMP601 Machine Learning in Manufacturing 2-0-2-3 COMP501
MATL601 Advanced Surface Treatments 3-1-0-4 MATL501
WSTK601 Project Management in Tooling 0-0-4-2 WSTK501
MECH602 Capstone Project 0-0-8-4 MECH503

Detailed Departmental Elective Courses

Departmental electives play a crucial role in shaping the specialized skillset of Tool and Die engineering students. These courses are designed to provide advanced knowledge in specific areas relevant to industry needs and future research directions.

Computer Aided Design (CAD)

This course introduces students to industry-standard CAD software such as SolidWorks, AutoCAD, and CATIA. Students learn to create 3D models of tools and dies, perform parametric design, and generate technical drawings for manufacturing processes. The curriculum covers surface modeling, solid modeling, assembly design, and simulation techniques.

Computer Aided Manufacturing (CAM)

Building upon CAD skills, CAM focuses on translating digital designs into machine instructions for automated manufacturing. Students learn to program CNC machines, generate toolpaths, and optimize machining operations using software like Mastercam and Siemens NX. The course emphasizes practical implementation in real-world scenarios.

Advanced Tool Design

This advanced elective delves into the complexities of modern tool design, including stress analysis, thermal considerations, and material selection for high-performance applications. Students work on complex projects involving multi-stage manufacturing processes and evaluate design alternatives using finite element methods.

Automation in Manufacturing

Students explore automation technologies used in modern manufacturing environments, including PLC programming, sensor integration, robotic control systems, and process automation. The course integrates theoretical concepts with hands-on laboratory experiences involving real industrial equipment.

Quality Control and Metrology

This course provides comprehensive knowledge of measurement techniques, statistical process control, and quality assurance methodologies in manufacturing. Students learn to calibrate instruments, conduct inspections, and implement quality improvement strategies using tools like Six Sigma and Lean Manufacturing principles.

Sustainable Manufacturing Practices

Focusing on environmental responsibility and resource efficiency, this elective covers eco-friendly manufacturing techniques, waste minimization strategies, energy optimization, and life cycle assessment of products. Students evaluate sustainable alternatives for traditional tooling processes and propose innovative solutions.

Materials Science in Tooling

This course explores the relationship between material properties and performance in tooling applications. Topics include metallurgy fundamentals, phase diagrams, heat treatment processes, corrosion resistance, and selection criteria for various manufacturing environments.

Advanced Machining Techniques

Students gain expertise in advanced machining technologies such as EDM (Electrical Discharge Machining), laser cutting, wire EDM, and abrasive machining. The course covers process parameters, tool wear analysis, and optimization strategies for high-precision manufacturing.

Process Optimization and Simulation

This elective teaches students to model and simulate manufacturing processes using software tools like MATLAB, ANSYS, and COMSOL Multiphysics. Students learn to analyze process variables, predict outcomes, and optimize performance through computational methods.

Project Management in Tooling

Designed for students who wish to lead complex tooling projects, this course covers project planning, risk assessment, budgeting, scheduling, and stakeholder management. It includes real-world case studies and simulation exercises to build practical leadership skills.

Project-Based Learning Philosophy

The Tool and Die program at Bishamber Sahai Diploma Engineering College places significant emphasis on project-based learning as a cornerstone of student development. This pedagogical approach ensures that theoretical knowledge is applied practically, fostering innovation, teamwork, and problem-solving skills.

Mini-Projects

Throughout the program, students engage in mini-projects designed to reinforce core concepts and develop hands-on expertise. These projects typically span 2-3 weeks and are assigned at the end of each semester. Examples include designing a simple stamping die, developing a mold for a specific product, or creating an automated tooling solution.

Final-Year Thesis/Capstone Project

The final-year capstone project is a comprehensive endeavor that integrates all learned concepts and serves as a culmination of the student's academic journey. Students work in teams under faculty supervision to solve complex real-world problems related to tooling and manufacturing.

Project Selection Process

Students select their projects through a structured process involving proposal submission, faculty evaluation, and final approval. Projects are often sourced from industry partners or faculty research initiatives, ensuring relevance and practical value.

Evaluation Criteria

Projects are evaluated based on technical accuracy, innovation, presentation quality, teamwork, and adherence to deadlines. Faculty mentors provide regular feedback and guidance throughout the project lifecycle.