A Leading Global Industrial Manufacturer Accelerates HVAC Filter Design with AI-Driven Surrogate Modeling
30
second evaluation time per design compared to hours and days
Thousands
of design evaluations per day, compared to 5 - 10 designs per week
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About the study
A leading global industrial manufacturer aimed to improve the design of a high-performance heating, ventilation, and air conditioning (HVAC) filter to gain competitive advantage. To meet this goal, the engineering team needed to rapidly iterate on new filter (porous media) designs, which involved balancing airflow efficiency and pressure drop (ΔP), a critical KPI that directly impacts energy consumption. Using a conventional simulation workflow, the team faced several bottlenecks.
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