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8-hour e-training

Place: Online – Time zone: CET

Date: May 18th – 25th & June 1st – 8th 2021 rom 9.00 am to 1.30 pm

Date: From 10.00 am to 12.00 pm

Fees: 400€ / participant – Education & Industrial

Number of seats: 10

Registration deadline: May 3rd, 2021

> Register Now

 

Instructors: Didier Zefack

Didier, expert of JMAG software, has more than 6 years’ experience in electric machine design using the FEA method with JMAG. He has given numerous training courses and is also daily supporting JMAG users in electric machines design and other areas.

Objective

Shape optimization is an old, classical and ubiquitous field of eMotor design & research, which has inspired deep mathematical theories as well as numerous crucial applications in industry and engineering. In recent years, topology optimization that can significantly change the geometry itself has been attempted, and novel designs heretofore not considered are being created. JMAG can obtain topology optimization results in a short time by executing topology optimization using sensitivity analysis.


This training will provide to a new and advanced JMAG users a general overview of Topology optimization features. From the decomposition of the design regions to the analysis of results, all functions will be explored. Some general application examples and exercises will be used during the training. The training will be a mix of presentations and demonstrations, the exercises will be provided to the attendees and will be checked during the next sessions. The participant can also use their own model to follow the training.

Training Information

Audience: New/advanced JMAG users
Language: French / English
JMAG Version: V20 (v19.1 can be used but it will not open the shared data)
License: Free licence file will be provided for this e-training
Number of session: 4 sessions (1 per day)
 

Program 


                    DAY 1

                    DAY 2

› 10.00 AM ⇒ 12:00 PM:

  1. Overview of Topology Optimization
    • Types & Capabilities
    • Solver Engines
    • Using Density Method
    • Using NGNET Method

  2. Modelling & Application Example:
    • Design Material & Region Variables
    • Response Data & Objective Functions
    • Optimization Solvers setting up
    • Running analysis & Postprocessing

  3. Study Cases

› 10.00 AM ⇒ 12:00 PM:

  1. Postprocessing functions for topology optimization:
    • Mesh distribution between design region/materials
    • Pareto curve

  2. Extraction of CAD data obtained from Topology optimization
    • Extraction process of CAD shape from Topology optimization
    • Parametrization of the CAD shape for Parametric optimization
    • Parametric optimization modelling & Results

 


                    DAY 3

                    DAY 4

› 10.00 AM ⇒ 12:00 PM:

  1. Multiphysics Topology optimization
    • Analysis objectives
    • Design regions and evaluation items
    • Analysis Group
  2. Combined topology optimization methods using NGnet & Density Methods:
    • Objectives of 2-Step topology optimization
    • Design regions of 2-Step topology optimization
    • Evaluation items of 2-Step topology optimization
  3. User study cases

› 10.00 AM⇒ 12:00 PM:

  1. Review of Results

  2. Comparison of methods: NGnet vs density

  3. Advantages & Limitations

  4. Conclusion

Contacts

POWERSYS Software & Services

Mr. Didier ZEFACK & Mr. Corentin JOUVET

POWERSYS Software & Services

JMAG Engineer Team

Phone: +33 (0)4 42 61 76 14

Email: d.zefack@powersys.fr | c.jouvet@powersys.fr

> Register Now

 

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