Short course/CPD
Multi-disciplinary Optimisation
Course date: Please enquire
Course overview
To enable the participants to develop a good appreciation of optimisation and modelling techniques and learn how to apply them in practical situations.
Location
International Digital Lab, Warwick University
Course fee:
2 days, excluding accommodation is £750.00.
The cost includes:
- Lunch and refreshments
- Certificate of participation
- All course material
- One month free licence of modeFRONTIER and technical support.
Accommodation fee:
Accommodation is not included in the price. Download the PDF file for details of accomodation near to the course venue.
Speakers
Dr Jörn Mehnen
Enginsoft is an engineering consulting company operating in the field of CAE, with specific expertise in Process Simulation and Optimisation. They deliver complete solutions to their customers in Europe in various industries, including software, consulting service, training and research.
How to register
Please register for the course directly with EnginSoft.
Course description
- Introduction to engineering optimisation
- Fundamental concepts in optimisation and classical techniques
- Design of Experiments theory and hands-on introduction (motivation, essential steps), simple experiment example, Theory, Regression fit, hands-on and meta models
- DOE - Identifying parameters and interaction, Effects analysis and hands on exercise
- Introduction to optimisation software tools
- Data analysis on the walkthrough
- Introduction to Genetic Algorithm, How do GA really work and hands-on manual exercise
- Multi-object optimisation, Theory and an ANSYS example
- Robust design and Six-Sigma
- Real-world case study.
On successful completion of this course the delegate will:
- Develop a good understanding of the fundamental concepts in optimisation and modelling
- Develop an insight into the potential of multi-objective optimisation and multi-disciplinary optimisation
- Gain an appreciation of how these techniques can provide a competitive edge to your organisation.
Who should attend
Engineers, Technical Managers, Designers, CAE Engineers, Academic Lecturers, Researchers, PhD students.
School of Applied Sciences
Quick navigation:
