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Date: November 27th, 29th & December 1st, 2023

Time: 9 AM to 12 PM CET

Course fees:

* (A 3% fee is applied for credit card payments). Payment will be due before the training.
Fees include 3-day training and training materials.

Number of seats: 10

To ensure a good quality of our course, the number of seats will be limited to 10. Don’t wait too long to register!

Registration Deadline: November 17th, 2023


Objective

This 9-hour training aims to provide a comprehensive understanding of JMAG and motor design workflow. It covers basic functions in JMAG Designer, optimization methods like parametric and topological optimization, and advanced topics such as efficiency maps, mechanical stability and demagnetization. Through practical exercises, participants will learn to create optimized 2D and 3D models for, using JMAG’s efficiency methods for faster calculations.


Audience

Our three-session JMAG training begins with an accessible introduction, perfect for beginners while also providing a refresher for those familiar with the tool. The subsequent sessions delve into advanced technical topics, catering to experienced participants, covering modeling, optimization, and the creation of robust parametric electromagnetic models.


Methodology

The training is divided into 3 parts with time for practical exercices:

The first session, will give new JMAG users an overview of JMAG, and then the general motor workflow using JMAG Designer. From the creation of the shape to the analysis of results with report generation, all basic functions will be explored.

The second session focuses on the optimisation methods offered by JMAG, such as parametric and topological optimisation. Starting from the CAD preparations to the optimization settings and results, all functions offered by the JMAG optimization tool will be explored. You will learn how to set up robust parametric models for radial and axial flux machines in 2D and 3D. Through practical exercises, you will explore optimisation to improve the performance of electric motors, by implementing these methods on specific machine models.

The final session will deepen your knowledge of optimisation, focusing on crucial aspects such as efficiency map combined to optimization, mechanical stability and demagnetization. You will understand how to create robust parametric electromagnetic models by defining Design variables and constraints. Through practical exercises, you will master the art of creating optimised models that meet specific criteria (operating point), while discovering the efficiency methods of JMAG to speed up the calculations by running the massive calculations through parallelism.


Program:

November 27th, 2023 | 9 am – 12 pm: Basic training

  1. JMAG Introduction

  2. Hands-on training

 

November 29th, 2023 | 9 am – 12 pm: Optimization modelling using JMAG

  1. Optimization methods in JMAG
  1. Setup of robust parametric models
  1.  

December 1st, 2023 | 9 am – 12 pm: Optimization approach & Creation of robust parametric EM-Models

  1. Optimization approach
  1. Creation of robust parametric EM-Models

 


Licensing & Computers

JMAG standard licenses will be provided for the training.


Instructor

Didier ZEFACK

Didier ZEFACK has more than 7 years of experiences as JMAG Simulation & Support Engineer at POWERSYS Solutions. He supported many companies and universities on different simulation projects. He received two Professional master’s degrees, first, in Computational Engineering for FEA simulations of phenomena governed by the fluid & solid mechanics. And secondly in Mechatronic for synergistic integration of mechanical engineering, electronics and intelligent computer control in design and manufacture of products and processes. In addition to JMAG, he works also on Multiphysics CFD tools to provide a complete solution for electric motor design and optimization.


Language

English


General conditions for the training

Please register as early as possible if you plan to attend the e-training. As soon as the minimum of participants is reached, POWERSYS will confirm the course.

 

Cancellation can be made according to POWERSYS’ General Conditions for courses:

Withdrawal from the Course:
In case you cannot attend the course after having registered, please contact us as soon as possible at marketing@powersys.fr

In case of cancellation less than three weeks before the beginning of the e-training, POWERSYS will charge the participant 50% of the e-training fees.

 

For French participants:

POWERSYS est enregistré en tant que prestataire de formation (auprès du Préfet de la Région Provence-Alpes-Côte d’Azur sous le numéro 93 13 13256 13). Une convention de formation peut être établie sur demande avant la date de formation.

 

Contact for any additional information:

Please feel free to contact us for any further information marketing@powersys.fr

 

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