Program Description

This "Robotic Engineering in Industrial Automation" course dives into mechatronics, the fusion of engineering fields that drives modern manufacturing. You'll explore sensors, the silent heroes that gather data for precise machine control. From temperature sensors to vision systems, various sensors are crucial for robot and machine operation. The course then examines control systems, including open-loop and closed-loop systems, that guide machinery. Additionally, you'll delve into digital motors, electrical drives, and microcontrollers, the building blocks of automation. Finally, the course explores mechatronics system design, including the Internet of Things (IoT) and fuzzy logic for enhanced control and intelligence.

Course Objectives

  • Elaborate on the Sensor Technology and their application in Machine tools & Robots
  • Explain the various drive systems, performance characteristics, requirements and Trouble shooting
  • Explain the application orientation Robotic configurations, gripper selection and design Interface the electronic control systems with mechanical element MATLAB Simulation

Key Highlights

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Sensor Technology

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Electrical & Fluid Drive systems

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Electronic Interfacing

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Robotic configurations, Gripper Design & Applications

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Mechatronics system Design

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Fuzzy Logic

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MATLAB- Simulation

Course enrollment data

Learning Format

Online

Duration

3 units

Certified by

IITM Pravartak Technologies Foundation
Technology Innovation Hub (TIH) of IIT Madras and
L&T EduTech

Program Fee

Rs. 1900/- Inclusive of Tax

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Program Description

Education Qualification

Students pursuing Diploma/ UG /PG Programs in Mechanical Engineering

Suggested Prerequisites

Basics in Manufacturing process, Mechatronics

Teaching Hours

6

Lead Faculty

Dr. S.M. Mullaikodi & Dr. Venkatesh Radhakrishnan

Subject Matter Experts – L&T EduTech

Dr. S. M. Mullaikodi, has acquired Ph.D. in the field of Fiber Reinforced Polymer Matrix Composite Material Design and Advanced Machining from College of Engineering, Guindy, Anna University, Chennai. She has 20 years of experience in teaching & research and training industry. She is proficient in Engineering design, and conversant in several design and analysis software like CATIA, CREO, ANSYS, MATLAB, etc. Expertise Areas: Design & Analysis of Mechanical Component, Vibration Analysis, Composite Material Design & Advanced Manufacturing, Additive Manufacturing.

Dr. Venkatesh R is specialized in manufacturing Engineering, specifically in computer-integrated manufacturing.He has an Industrial experience of more than 5 years. He served the Industry as, Production & Quality Assurance Engineer. His meticulous production planning and minimizing the machine downtime, towards the increased productivity attracted appreciation. He has over 25 years of teaching experience, taken manufacturing and material science-related subjects for both undergraduate and postgraduate students. Expertise Areas: Nano Composite Materials, Metal Matrix composites, Advanced Machining, Robotics

Learning Schedule

Evolution of Mechatronics and its importance, Range of sensors from Domestic appliances to Machinery on the shop floor, Sensors in Machine tools, Sensors in Robots, Temperature & Force sensors in Machine tools & Robots, Proximity sensors, Range sensors, Ultrasonic sensors, Slip & compliance sensors in Robots, and Standards & specifications of sensors

Optical Encoders in measuring the speed of the spindle, Open & closed-loop control systems, Digital Motors, Servo Motors, Characteristics, Various electrical drives in powering different machine tools, and Troubleshooting in Electrical Drives. Interfacing sensors in a CNC Machine for Tool life monitoring, and Advanced Mechatronics systems in Machines

Robotic configurations, Robotic grippers with sensing capabilities, Selection and Design Criteria, Application-based Grippers and their design. Micro Processors, Microcontrollers, and Programmable Logic Controllers. Mechatronics system design, Utilizing IoT in Mechatronics systems, and the Role of Fuzzy logic in Manufacturing. Design of Robot link using MAT Lab Simulink and Design of RR Robot Forward Kinematics using MAT Lab Simulink



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