Artificial Intelligence for Visualization, Processing and Predict of Temperature and Fluid Flow Modeling

Vishal Nandigana

2024

Abstract

In this paper we propose python code written anaconda terminal run Windows OS usage for visualization and processing of big data having 4 million data points of size 36.2 MB file vector x ⃗ of 4𝑚 𝑏𝑦 4𝑚 𝑏𝑦 4𝑚 uniform meshed 100 points and solver opensource software OpenFOAM to calculate temperature profile of steel whose thermal diffusivity is 14.76 × 10−6 𝑚2/𝑠 by Laplacian partial differential equations. The software in use in AISoft visualization and processing commercial software (Sidharth and Vishal, 2022). Here we also use data driven model for predict match experiments of turbulent flow and low temperature measurements on copper core arrangements and silicon, respectively. The software in use is AISoft Windows 800 commercial software (Luke, Vishal and Jay, 2021). To compile the model train_number.csv vector measurements are uploaded in the software. The model uses RNN-LSTM method and Adam optimization minimization to calculate the learning parameters. We predict the new locations and states vector measurements. The model shows 3-order speed up in computational time compared to unclear traditional turbulence models and conduction additions to the model. Also the predicted solution shows 98% accuracy. Artificial Intelligence for big data, visualization, processing, predict models is in use for AI Agents, AI ethics, cinemas, art, electronics, calendar planner and engineering applications.

Paper Citation

in Harvard Style

Nandigana V. (2024). Artificial Intelligence for Visualization, Processing and Predict of Temperature and Fluid Flow Modeling. In Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-680-4, SciTePress, pages 58-62. DOI: 10.5220/0012270700003636

in Bibtex Style

@conference{icaart24,
author={Vishal Nandigana},
title={Artificial Intelligence for Visualization, Processing and Predict of Temperature and Fluid Flow Modeling},
booktitle={Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2024},
pages={58-62},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012270700003636},
isbn={978-989-758-680-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - Artificial Intelligence for Visualization, Processing and Predict of Temperature and Fluid Flow Modeling
SN - 978-989-758-680-4
AU - Nandigana V.
PY - 2024
SP - 58
EP - 62
DO - 10.5220/0012270700003636
PB - SciTePress