Calibrate Simulation to Test Data with Ansys optiSLang

Overview

Achieving strong agreement between simulation and physical test data is essential for accelerating product development and ensuring reliable engineering decisions. Yet, model calibration often remains time-consuming and highly manual—particularly when dealing with complex electronics, multiparameter systems, or uncertainty in materials and load conditions.

In this webinar, we will demonstrate how Ansys optiSLang automates and streamlines parameter identification, model calibration, sensitivity exploration, and robust design evaluation. You will learn how optiSLang connects directly with Ansys Mechanical, electronics workflows, and third-party tools to rapidly reveal which parameters matter most, generate accurate surrogate models, and deliver highly correlated simulation-to-test results.

Using examples such as electronics connectors, spring steel material calibration, and PCB harmonic vibration, we will show how engineering teams can reduce manual effort, understand design behavior earlier, and build high-confidence simulation models that reflect real-world performance.

What Attendees Will Learn

• Model calibration workflows for simulation vs. test
• Parameter sensitivity & identification methods
• Automated optimization & robustness evaluation
• Use of surrogate models for faster correlation
• Electronics-focused use cases (connectors, PCB vibration)

Who Should Attend

Engineers working in electronics, mechanical design, reliability, and multiphysics simulation who need to align simulation results with test measurements, accelerate design iterations, and improve prediction accuracy.

Speakers

• Kelly Morgan
• Christian Freich
• David Schneider