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MATLAB for Mechanical Engineers in Chennai

Learn about the fundamentals of MATLAB needed for mechanical engineers.

4 weeks long course | 100% Online

Learn from leading experts in the industry

Project based learning with 2 industry level projects that learners can showcase on LinkedIn.

Learn Key Tools & Technologies MATLAB

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Syllabus

This course is full of best-in-class content by leading faculty and industry experts in the form of videos and projects

Course Overview

MATLAB is a platform used to study data sets, develop models of real-world systems, create algorithms, and solve equations. Engineers use MATLAB to develop, design, simulate, and test their models before it can be developed in the real-world. In the field of mechanical engineering, MATLAB is used for solving problems related to dynamic and static systems, mechanical vibrations, control systems, statics, and more. This makes MATLAB a fundamental software tool mechanical engineers. 

By taking this course, learners will

  • Understand the basics of the MATLAB UI 
  • Write scripts to simulate forward kinematics and the air standard cycle. 
  • Solve mathematical equations and plot graphs using MATLAB
  • Get hands-on experience with writing MATLAB scripts to simulate a variety of systems and problems. 
  • Complete challenges and projects designed by experts according to industry specifications that require practical application of the concepts learned throughout the course.

Who can enroll in this course?

Students with a background in mechanical or automotive engineering can take this course.

Course Syllabus in Chennai

On a daily basis we talk to companies in the likes of Tata Elxsi and Mahindra to fine tune our curriculum.

Week 1 - Introduction to MATLAB

MATLAB has a series of commands and functions that instruct the program to perform a task. Just like any other programming language, it has a syntax that defines the rules of the symbols and characters used to write a code. It is important for learners to understand the MATLAB syntax, basic commands, and functions to write effective programs. 

This week will cover

  • MATLAB syntax and commands 
  • Methods and ways to use commands in different scenarios
  • Manipulation of calculations and comparisons
  • Use of arrays.
  • Functions (plotting, creating animations, creating figures, and more)

Week 2 - Forward Kinematics Simulator

Forward kinematics is the process of determining the position of a robot’s end-effector by using kinematic equations with known values of angular velocities and joint parameters. It is important for learners to understand how MATLAB can be used to determine the unknown values in the kinematic equations, as well as simulate the movement of the manipulator.  

This week will cover

  • Manipulator motion using ImageMagick
  • Simulation of a 2R robotic arm manipulator
  • Creating a movie clip with the spatial motions of a robotic arm
  • ‘For’ loop in programming
  • Working of the “hold on” command
  • Arrays and linspace commands

Week 3 - Air Standard Cycle Simulator

The air standard cycle considers air as the working fluid which goes through heat addition and heat rejection. This is a thermodynamic closed loop cycle in which heat energy is converted into mechanical power. By using MATLAB, the pressure and volume diagram of air standard cycles can be plotted and simulated. It is important to understand how to solve for the kinematic equations involved in the air standard cycle, and how to plot the diagram using MATLAB. 

This week will cover

  • Solving piston kinematics equation to calculate volume trace
  • PV diagrams for different operating conditions.
  • Thermodynamic relationships
  • Pressure-volume variations
  • Order of the program
  • Plots & legends used in the graphs
  • Piston kinematics

Week 4 - Vibrations and Dynamics

Vibrations and dynamics are at the core of physical systems. Most mechanical engineering systems are dynamic in nature. These systems can be represented by equations of motion that form a set of ordinary differential equations (ODEs). It is important for learners to understand how to solve these ODEs, and their application in a real-world context.

This week will cover

  • Backward difference formula (BDF) and forward difference formula (FDF) methods to solve ODEs
  • Real use of differential equations
  • How differential equations relate to real-world applications
  • Solving differential equations
  • ODE solvers, syntax of ODEs, and various supplementary commands

Week 5 - Curve Fitting and Regression

Curve fitting is used to understand the relationship between different variables by constructing a curve that fits best through a series of data points. Regression analysis identifies the strength of the relationship between two or more variables. This lets engineers understand the relationship between system input and output, as well as predict how the system will behave in the future. Curve fitting and regression can both be done using MATLAB. It is important to understand curve fitting and regression analysis when working with physical systems in MATLAB. 

This week will cover

  • Polynomials and their best fits
  • PolyFit and PolyVal commands
  • Calculating errors
  • Sum of squares regression (SSR)
  • Sum of squares error (SSE)
  • Sum of squares total (SST)

Week 6 - Genetic Algorithm

The genetic algorithm is based on Charles Darwin’s theory of natural selection in which each step identifies the ‘best’ set of parents to reproduce children. Overtime, the continuous process of doing this yields an optimal population. In the same way, the genetic algorithm can be applied to optimization problems and performed using MATLAB. It is important for learners to understand the genetic algorithm, and how it can be used as an optimization technique.  

This week will cover 

  • Optimization techniques 
  • Working of the genetic algorithm
  • Genetic algorithm syntax and finding the global maxima
  • Stalagmite functions and how it works
  • Population size, number of generations, fitness value, and termination of further generations

Our courses have been designed by industry experts to help students achieve their dream careers

Industry Projects in Chennai

Our projects are designed by experts in the industry to reflect industry standards. By working through our projects, Learners will gain a practical understanding of what they will take on at a larger-scale in the industry. In total, there are 2 Projects that are available in this program.

Extracting Data from NASA Thermo.dat File

Learners are required to write a code that can read the NASA-II polynomial file and calculate thermodynamic parameters. They will have to extract the data from the NASA Thermo.dat file, Enthalpy, Entropy, and Specific Heat plots for different species. Learners will also have to calculate the molecular mass of each species and optimize the code to make it generic.

Extracting Steam Properties using Rankine Cycle Simulator

Learners are required to use the XSteam library file to determine the properties of steam under various conditions. They will have to find the Enthalpy and Entropy at various state points and plot T-S and H-S on the Rankine cycle.

Our courses have been designed by industry experts to help students achieve their dream careers

Ratings & Reviews by Learners

Skill-Lync has received honest feedback from our learners around the globe.

Google Rating
4.6

Upskill Your Career with the MATLAB for Mechanical Engineers Course in Chennai

This course by Skill-Lync helps you learn simulation skills and the versatile MATLAB programming language. 

The MATLAB for Mechanical Engineers Course in Chennai

This four-week-long online course acquaints you with the fundamental principles of MATLAB and its diverse use cases in the mechanical engineering domain. In addition, this MATLAB online course with certification will help you better understand how to execute BDF and FDF methods to decode ODEs. Furthermore, you will gain expertise in the concepts related to regression and genetic algorithms to optimise multi-parameter methods and curve fitting using MATLAB.

This course has been curated by industry experts with seven years of experience. After the course, you can develop skills that relate to creating effective MATLAB code and getting acquainted with methods and commands in MATLAB. Likewise, you will also comprehend the extensive procedures used for creating movies and developing figures.

Skill-Lync offers this MATLAB-Simulink training course with a flexible fee structure. Additionally, since it is completely online, you will be able to learn what MATLAB is used for from the comfort of your home. 

FAQs about the MATLAB for Mechanical Engineers Course in Chennai

Q1. Why choose Skill-Lync's MATLAB for Mechanical Engineers course in Chennai?

When you register for the MATLAB Simulink training course in Chennai, you get the opportunity to become familiarised with all the relevant concepts related to MATLAB and Simulink. You also get a better understanding of pressure-volume variations and piston kinematics. 

Q2. What are the prerequisites for taking up the MATLAB for Mechanical Engineers course in Chennai?

Students from a mechanical engineering background or BE/ BTech graduates from mechanical, instrumentation, electrical, electronics, mechatronics, and automotive disciplines can opt for this online MATLAB course.

Q3. What is the program fee of Skill-Lync's MATLAB for Mechanical Engineers course?

Skill-Lync offers three options for the MATLAB course with certification in Chennai: Basic, Pro, and Premium. The Basic Plan offers 1 month's access at Rs 3000 per month for 3 months. The Pro Plan provides 2 months' access at Rs 7,000 per month for 3 months and the Premium Plan offers lifetime access at Rs 10,000 per month for 3 months. 

Q4. What are the benefits of doing a MATLAB for Mechanical Engineers course at Skill-Lync in Chennai?

Since industry experts have designed this course, you get the latest insights into the field. Additionally, the course projects give you practical work experience that you can showcase on LinkedIn. 

Q5. What are the career prospects after completing the MATLAB for Mechanical Engineers course at Skill-Lync in Chennai?

After completing this online learning course, you get an opportunity to grow your career in diverse domains. Some of the job positions you can apply for after this online MATLAB course are as follows: 

  • Scientific Graphics Developer
  • Modelling and Simulation Engineer
  • Data Analysis and Exploration Engineer

Q6. What is the expected salary range after completing the MATLAB for Mechanical Engineers course at Skill-Lync in Chennai?

The salary after completing the MATLAB course in Chennai depends upon your skills and experience. The average salary of a mechanical engineer is Rs. 3.58 lakhs per annum.

Instructors profiles

Our courses are designed by leading academicians and experienced industry professionals.

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1 industry expert

Our instructors are industry experts along with a passion to teach.

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7 years in the experience range

Instructors with 7 years extensive industry experience.

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Areas of expertise

  • CFD

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