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Maximizing Confidence Through Multiphysics and Multi-Domain System Validation

Hydraulic Loads influence structural and electrical behavior.  Fluids affect system efficiency and control strategies depend on accurate system level models.  This applies across pumps, motors, drives, cables and power generation equipment.

This session demonstrates how to develop and integrate Multiphysics system models and how parametric analysis and VVUQ helps teams predict system level efficiency, reduce redesign loops and evaluate system performance.

Date: April 14, 2026
Time: 11 AM EDT

Venue:
Virtual

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Overview

Modern industrial products are inherently multidomain. Structural loads influence thermal behavior: fluids affect performance, and control strategies depend on accurate system level models. This applies across pumps, HVAC units, compressors, motors, power generation equipment, and any system where multiple physics interact.

This session demonstrates how how multiphysics and multi-domain VVUQ helps teams predict system-level efficiency, reduce redesign loops, and improve product metrics such as kW/CFM, CFM/Package-cost, and total package performance.

What Attendees Will Learn

  • How to plan and execute multiphysics and multidomain validation
  • How to quantify interactions across structural, thermal, fluid, electromagnetic, and control systems
  • How to combine test and simulation data for system level validation
  • How to uncover cross domain failure modes that single physics models miss
  • How multidomain VVUQ improves confidence in real-world performance

Who Should Attend

  • Director / Manager of Engineering
  • Director of Technology / New Product Development
  • Electrical Powertrain Engineers
  • Motor/Drive & Controls Engineers
  • CFD / FEA / Mechanical Simulation Engineers
  • Product Managers for Pumps, Compressors, Motors, Drives
  • Systems Engineers & Digital Engineering Leads
  • Innovation / R&D Leaders in Industrial OEMs

Speaker

  • Ryan Magargle, Sr Architect, Application Engineering
Pump and compressor system modeling