This paper is published in Volume-7, Issue-3, 2021
Area
Deep Learning, Artificial Intelligence
Author
Vishal Nandigana, Ananyananda Dasari, Deepak Somasundaram, Arivoli Anbarasu
Org/Univ
Indian Institute of Technology Madras (IITM), Chennai, Tamil Nadu, India
Pub. Date
15 May, 2021
Paper ID
V7I3-1286
Publisher
Keywords
Deep Learning, Artificial Intelligence, Engineering Applications, Software

Citationsacebook

IEEE
Vishal Nandigana, Ananyananda Dasari, Deepak Somasundaram, Arivoli Anbarasu. Deep Learning for engineering applications, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Vishal Nandigana, Ananyananda Dasari, Deepak Somasundaram, Arivoli Anbarasu (2021). Deep Learning for engineering applications. International Journal of Advance Research, Ideas and Innovations in Technology, 7(3) www.IJARIIT.com.

MLA
Vishal Nandigana, Ananyananda Dasari, Deepak Somasundaram, Arivoli Anbarasu. "Deep Learning for engineering applications." International Journal of Advance Research, Ideas and Innovations in Technology 7.3 (2021). www.IJARIIT.com.

Abstract

In this paper, we formulate a new artificial intelligence based deep learning formulation to solve engineering applications in domains, heat transfer (2D,3D), strength of materials (2D,3D), design of machine elements, 3D component analysis, 3D assembly analysis, fluid dynamics (2D,3D), Kinematics/Vibrations/control (2D, 3D). Our deep learning based Distributed Artificial Neural Network (DANN) formulation showed six orders of magnitute speed up in computational time and needed an everyday use laptop, not necessiating high end super computer servers for engineering applications analysis. Further, the accuracy of the engineering solution showed 99.9% accuracy and comparable to the conventional existing engineering applications analysis results.
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