This paper is published in Volume-7, Issue-3, 2021
Area
Deep Learning, Artificial Intelligence
Author
Vishal Nandigana
Org/Univ
IITM, Chennai, Tamil Nadu, India
Pub. Date
15 May, 2021
Paper ID
V7I3-1306
Publisher
Keywords
Turbulence modeling, Sedan car simulations, Artificial Intelligence, DANN, AIDesign

Citationsacebook

IEEE
Vishal Nandigana. Deep Learning for Turbulence Modeling, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Vishal Nandigana (2021). Deep Learning for Turbulence Modeling. International Journal of Advance Research, Ideas and Innovations in Technology, 7(3) www.IJARIIT.com.

MLA
Vishal Nandigana. "Deep Learning for Turbulence Modeling." International Journal of Advance Research, Ideas and Innovations in Technology 7.3 (2021). www.IJARIIT.com.

Abstract

In this paper, we provide a new artificial intelligence based deep learning Distributed Artificial Neural Network (DANN) for turbulence modeling applications, including flow past triangle, laminar flow, flow past cylinder, turbulence dynamics modeling, and flow past a real 3D product, sedan car, of real product design geometry and dimensions. The results showed six orders of magnitute speed up in computational time and need an everyday use laptop, not necessiating high end super computer servers for turbulence dynamics simulations for 3D product design industry geometries. The accuracy of the DANN use showed 99.9% accuracy and comparable to the conventional existing engineering applications software results. The DANN use software is patented and industries approved and commercially available over https://aidesign.today for product design and analysis real world product industrial use. The software is AIDesign software.
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