Matching Dynamic Simulations with Testing
Systematic approach to reverse engineering
Learn how to use optiSLang to determine uncertain model parameters, e.g. by comparing simulated modes with an EMA. This training is offered as a 1-day course.
Duration
1 day
Prerequisites
Basic knowledge of Ansys Mechanical, Basic knowledge in Ansys optiSLang
Software used
Ansys Mechanical, Ansys optiSLang
- Performing model calibration using an experimental modal analysis
- Identifying the influences of key calibration parameters
- Calibration of vibratory systems with the NVH toolkit
- Strategies for calibration of oscillating systems
Description
In many applications, the validation of simulation models through the matching of experimental data is a necessary prerequisite for high-quality virtual product development. The systematic identification of unknown and uncertain input parameters for the simulation of available measurement results plays a central role in this process. In this course, you will receive suggestions and many practical tips on how to combine the "best of both worlds" with testing and simulation.
You will learn the methodical implementation of typical calibration tasks for eigenmodes, and natural frequencies of oscillating systems based on common application scenarios. This will enable you to develop your own model update workflow based on experimental modal analyses.
This training course is aimed at computational engineers who want to determine unknown simulation parameters based on measurements, and who are eager to improve the accuracy of their simulation results.
Detailed agenda for this 1-day training
Day 1
01 Systematic approach to successful matching
- Fundamental aspects of reverse engineering
- Types of uncertainties in measurements and simulations
- Strategy for successful matching
- Explanation of objective functions for curve fitting
- Demo: Adjustment of an oscillator using Microsoft Excel and Ansys optiSLang
02 Experimental modal analysis (EMA)
- Test execution: dynamic excitation, vibration measurement of the frequency response
- Determination of the mode shapes and natural frequencies
- Data blocks from a universal file format (UNV, UFF)
- Workshop: Visualizing UNV data in Ansys Mechanical
03 Calibration of eigenmodes
- Correlation criteria for mode shapes (MAC: Modal Assurance Criterion)
- Import of UNV test data (format 55)
- Working with the RSTMAC command in Ansys Mechanical APDL
- EMA-FEM optimization strategy: model orientation, mode pairing, target function
- Workshop: Reverse engineering of a 3D structure using experimental data for natural frequencies and eigenmodes
04 Calibration of frequency responses
- Correlation criteria for frequency responses (FRAC: Frequency Response Assurance Criterion)
- Import of UNV test data (format 58)
- Working with the RSTMAC command for FRF correlation in Ansys Mechanical APDL
- Optimization strategies for frequency response matching: Signal Processing, Target Function
- Workshop: Frequency response fitting for a component
Your Trainers
Daniel Soukup
Dr. sc. Jörg Helfenstein
Placement in the CADFEM Learning Pathway
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