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Mechanics & Mechatronics Research

The aim of creating this website is to share the academic and research outcomes of us (S.A. Moezi & E. Zakeri) during our academic and research careers. We hope that the contents of the website are of the other researchers' help and assist their precious research efforts in the engineers' society.

RECENT PROJECTS

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SMAS Robotic Arm

Seyed Alireza Moezi

This six-degree-of-freedom robot was fabricated based on the AR robotic manipulator design for the Smart Materials and Adaptive Structures Lab in the second year of my Ph.D. study at Concordia University. This robot, which can carry up to 2 kg of payload and is equipped with six rotary encoders, will be used to actuate the soft magnetic robots developed for my Ph.D. research.

2021-2021

Completed

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Vibrating Sample Magnetometer

Seyed Alireza Moezi

A vibrating sample magnetometer is a scientific instrument that measures materials’ magnetic properties based on Faraday’s Law of Induction. The idea of the fabrication of the VSM machine came to my mind when I joined Concordia University for Ph.D. in Mechanical Engineering. Since the topic of my doctoral thesis is associated with magnetic soft robots, I needed this device to measure the magnetic properties of the fabricated robots for modeling and simulation purposes. Considering that the price of this machine was at least over 160,000 (CAD) and Concordia University was not equipped with this device, I fabricated it in about two to three months at the cost of about 10,000 (CAD) with high quality. This idea saved tens of thousands of dollars and helped me continue my research. The fabricated machine has the following specifications. (1) Real-Time field control system with very low noise field control, (2) High signal-to-noise-ratio, (3) High accuracy and repeatability at a constant temperature, (4) This VSM machine can reach fields up to 1.6 T, (5) Rotatable sample holder to ease magnetic properties measurements of the sample at desired angles, (6) Equipped with a high-resolution gaussmeter to measure the real magnetic field surrounding the sample, (7) Dedicated software to record the measurement data online for analysis.

2021-2021

Completed

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Diagnostic Software for Neuromuscular Diseases

Seyed Alireza Moezi

The developed software, programmed using Visual Basic (VB) language, uses data such as patient history and raw electromyography (EMG) data for the diagnosis process. Due to the wide range of these diseases on the one hand and the overlapping of EMG results, on the other hand, the diagnosis of the disease may be associated with errors. Therefore, this software can help the physician in diagnosing or identifying a list of possible illnesses. The software also records the patient’s medical records and physician’s information. In addition to the abovementioned factors, the software reports each neuromuscular disease’s prevalence among patients referred to the treatment center.

2016-2017

Completed

Our Contacts

Email (S.A. Moezi)

Email (E. Zakeri)

moezi2000@gmail.com

ehsan8631@gmail.com

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