Joins us for an ANSYS Webinar

Reduced Order Models (ROMs) for Simulation Democratization and Digital Twins

2019년 8월 21일

11:00 AM - 12:00 PM EDT

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Venue:
Online

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CFD analysis generally takes a long time and requires significant computational resources, which makes it difficult to perform real-time monitoring or predictive maintenance. In addition, prior knowledge/experience is required to set up CFD simulations and extract meaningful results. Reduced order models (ROMs) can significantly speed up the process and make simulations easier. A ROM is a simplified version of a high-fidelity computational model that preserves essential behavior and dominant effects while reducing the solution time and computational storage capacity required. In this webinar, a series of ROMs will be shown, along with the workflow to create the ROMs. These examples will highlight how ROMs can be used by operators/non-simulation experts to perform ‘what-if’ analysis within seconds without compromising on accuracy.

Presented by: Anchal Jatale, Oil & Gas Industry Lead, ANSYS
Anchal Jatale is currently serving as North America Oil & Gas Industry lead for ANSYS. He has 10+ years of experience in CFD modeling and simulations. For the past couple years, he has been spearheading ANSYS digital twin engagements in the O&G industry. His expertise is in reduced order modeling, system modeling, reacting flow, combustion and multiphase flow. Prior to joining ANSYS, he received his doctorate in chemical engineering from the University of Utah.

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본인은 ANSYS 및 파트너로부터의 최신 정보 및 관련 정보 수신을 희망합니다. 본인은 언제든지 수신을 거부할 수 있습니다. ANSYS 개인정보처리방침