Improve and Analyze Products with Ansys optiSLang
Process integration and optimization strategies for all Ansys products
Learn how to examine parameter influences, robustly optimize properties, process signals and integrate processes in Ansys. This training is offered as a 3-day course or alternatively as a self-paced eLearning course.
Duration
3 days
Prerequisites
Basic knowledge of simulation
Software used
Ansys optiSLang
- Learn about sensitivity studies, optimization, and robustness analyses
- Examine and match characteristic curves using measured values
- Integrate and work with any kind of processes
- Visualize scattering on structures and detect hotspots
Description
Ansys optiSLang is a powerful tool for development and computational engineers as well as designers. It enables targeted product improvement and process integration based on parameterized simulations. By systematically analyzing product variants, you gain valuable insights into the properties and correlations of your products.
This training lays the foundation for the successful use of optiSLang and provides you with both practical working techniques and background knowledge for your tasks. With stochastic analyses, you can identify hotspots on structures and analyze and optimize manufacturing processes in a targeted manner. Sensitivity studies help to identify complex cause-and-effect relationships and achieve product optimization. You can also assess scattering conditions and their effects on product performance in advance. Our methodical approach supports you in parameterizing your tasks and systematically varying them, ensuring you reach your goal even with more complex tasks. This contributes to successful product development and allows you to unlock new optimization potential through variant studies. You are invited to take part in this lively training event with questions from your own practical experience.
Get a first impression and test the first eLearning module of this training course without any obligation. No costs, no notice period.
Detailed agenda for this 3-day training
Day 1
01 Ansys optiSLang Basics
- The optiSLang concept at a glance
- Which options are available in optiSLang?
- Overview of the new license models
- Demo: optiSLang at a glance
02 The Scenery: optiSLang Workflow GUI
- Introduction to the optiSLang user interface
- Graphical programming with the modular optiSLang Scenery
- Creating your own workflows
- Creation of desired solver chains
- Exercise: Parametric workflow of a solver via batch call
03 Sensitivity study: theory, application and metamodels
- Calculation of correlations
- Illustration of correlations
- Creation of metamodels as a basis for rapid variant studies
- Identify significant parameters
- Evaluating the predictive power (CoP) of metamodels
- Exercise: Sensitivity study of a thermo-mechanical high-precision scale
04 optiSLang Postprocessing in detail
- In-depth introduction into the powerful capabilities of postprocessing
- Understanding of the interaction between individual plots and display modes
- Preparation of optimizations using parallel coordinates plot
- Incorporating graphics to visualize design variations
- Causes of low prediction capabilities and strategies to improve prediction reliability
- Exercise High Precision Balance: Pre-Check - Optimization Goal Achievable in Variation Space?
Day 2
05 Optimization of product properties
- General optimization strategies for desired physics domains: structural mechanics, electromagnetics, and flow
- Comparison of optimization algorithms and their application areas
- Understanding of single-, multi-objective (Pareto) applications and constraints
- Exercise: Optimization of a fluid pump using various strategies
06 Integrate characteristic curves into optiSLang
- Reverse engineering: Adaptation of a design to a reference solution or measurement
- What are signals in optiSLang?
- Discussion of the different possibilities in optiSLang Extraction Toolkit (ETK) to integrate vectorial quantities
- Exercise: Adapt model parameters of an electromagnetic solenoid to a desired characteristic curve
07 Signal Metamodeling (S-MoP)
- What options are there if traditional analyses are no longer sufficient?
- Visualization of the influence of parameters on different areas of a vectorial result
- Advantages of using Signal MoP and Field CoP when applying a complex characteristic curve
- Exercise frequency response fitting: Electric drive characteristic
08 What can be determined from read-in data?
- Data Exploring with optiSLang Excel Plug-In
- Rapid What-If Studies in Excel
- Further processing of external measurement tables in an optiSLang process
- Combining measurement data with sensitivity analysis/optimization
Day 3
09 The path to stochastics - considering scatter in a robustness analysis
- Managing tolerances and their effects on results
- Design for Six-Sigma
- Failure probabilities in reliability analysis
- Robust Design: Combining Optimization and Robustness Analysis
- Exercise in robustness analysis: material scatter, stress and ultimate loads
10 Introduction to Statistics on Structures
- What are scatter fields (Random Fields)?
- Advantages of visualizing scatter on a structure
- Detection of hotspots on a component
- Improving the production process through insights from statistical analysis
- Exercise: Evaluation of robustness in the deep drawing process
11 Tips for daily use and special workflows in optiSLang
- Pause, modify, and continue calculations
- Combining different results to extend an existing analysis
- Simultaneous solving of design points
- Reevaluation of existing analyses
- Exercise: Reevaluation of a sensitivity analysis with additional results
- Demo: Nested System Robust Design Optimization (RDO)
12 Outlook: Ansys Minerva and optiSLang
- Using optiSLang with Minerva in the Web Browser
- Democratization of the application
- Wrap-up & outlook
- Time for concluding discussions in the group
Your Trainers
Andreas Veiz
Daniel Soukup
Dr. sc. Jörg Helfenstein
Daniel Wenger
Placement in the CADFEM Learning Pathway
Participant data
Additional information
Commentary
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Straight after you sign up, an automatic confirmation of receipt will be sent to the email addresses you provided. Once you have successfully verified the data you provided, you will receive your personalized sign-up confirmation, containing further information on course fees, the billing address, etc., by email within two to three working days.
As soon as the minimum number of attendees has been reached, you will receive a final training confirmation containing further information. If you have booked an on-site training, we recommend that you wait until you have received this final confirmation before booking your travel and accommodation.
If the minimum number of attendees is not reached, we reserve the right to cancel the training seven days before it is due to start at the latest. We are happy to inform you on changing your booking to an alternative date. Please note that we accept no liability for hotel or travel bookings that attendees have already made.
Usually the training courses start at 9:00 am and end at 5:00 pm of the respective local time. The actual course times will be stated in the booking confirmation. Please note that, depending on the training host, there may be a possible time shift between your and the provider's local time. Therefore all local times are provided with the valid time shift to Greenwich Mean Time (GMT).
The training includes intermediate and final exercises to practice the elements covered in the training. The trainer will present the resolution of these exercises and will check the good understanding of each module of the course with the help of MCQ. A training certificate will attest to the validation of the knowledge assessment for each module and for the overall training.
To get a clear impression of our online learning format, we offer you a trial allowing you access to the starting module of an eLearning course of your choice. No costs, no cancellation period or anything similar. Moreover, with this free test access you can check all the technical requirements for a smooth learning process. You can easily request the free module from any eLearning course.
Each online course day comprises four eLearning modules. You should ideally allow 90 to 120 minutes of uninterrupted learning time for each module. This will allow you to acquire the knowledge provided by a module and to consolidate it through quiz questions and Ansys exercises. By dividing each module into micro learning units, you can also make good use of smaller time windows, such as on your commute.
Prerequisite for the use of the eLearning courses is the use of a personalized access to the CADFEM learning platform. When purchasing an eLearning course, access to the learning platform is 365 days. As a subscription user, access to the learning platform starts and ends with the start and end of the flat rate. With the start of a further learning product (Learning Subscription, training, eLearning), access to your content is extended by 365 days.