Mechatronics Engineer

Toronto, Canada

Humphrey J

Bachelor of Engineering, Mechanical Engineering, Queen’s University, Canada

Profession

Certified academic assistant and top-rated tutor at Matlab Assignment Experts

Skills

My name is Humphrey, a passionate mechatronics engineer and a full-time academic assistant at Matlab Assignment Experts. I have vast knowledge and background in Matlab Simulink and mechanical engineering, which makes me the perfect fit for a wide range of projects involving machine design, robotics, mechanical design, product design and development, prototyping, 3D printing, and electrical/electronics design. This is my ninth year working as an academic assistant and due to my passion and commitment, I always produce the best possible deliverables that give you real success in academia.

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Mechatronics students learn Structures using MATLAB to verse themselves with the programming language's concepts applicable to their course. Topics like Matrix Operations, Array Operations, Polynomials, and others, are covered here. The concepts may be confusing, especially if the student doesn't have much time to spare for studies. Well, that's normal but dangerous. Luckily, there's a way to cover it up. You can pay to always get help from an experienced Mechatronics Structures Assignment Solver like me. I work online to help students upgrade their GPA by solving their assignments and teaching them. I'm experienced in handling assignments as a student and as a tutor. Therefore, I understand what is needed for a student to excel, and that's what I dish out.

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Solving Systems Equations

Initialization & Iterative Solvers

Published : 25-08-2019

The assignment necessitates the use of Matlab in writing a script that solves a given system using the Gauss Seidel method, Successive Over Relaxation (SOR) method, and Jacobi method. You should then solve a system of linear equations to find the unknown values in vector v using the Gauss Seidel method, Successive Over Relaxation (SOR) method, and Jacobi method.

The response of Single and Two Degree of Freedom

In this project, we will get the chance to implement some numerical techniques for computing the response of a single degree of freedom (SDOF) and the two degrees of freedom (2DOF) systems. There are many integration methods such as the Runge-Kutta method, the Simpson method, and the Gauss quadrature. In order to solve the SDOF and 2DOF, we call the builtin ode45 MATLAB function, which uses the Runge-Kutta method.

III. ConclusionComparing the obtained numerical results, in the first case of SDOF all the numerical results are the same in the three cases for v=40, 90, and 140 km/hr. In the case of 2DOF, there a small difference between the solutionand the other one , but it is no remarkable.