Thermodynamic properties of binary, ternary and quaternary mixtures: N‑butyl acetate- n-hexanol - n,n-dimethylacetamide-water. Modeling using regression algorithms and optimization using socially-inspired evolutionary algorithms DOI

Iuliana Bîrgăuanu,

Marius Gavrilescu, Florin Leon

et al.

Journal of the Taiwan Institute of Chemical Engineers, Journal Year: 2024, Volume and Issue: 165, P. 105796 - 105796

Published: Oct. 9, 2024

Language: Английский

Free vibration behaviour of bio-inspired helicoidal laminated composite panels of revolution under thermal conditions: Multi-output machine learning approach DOI
Aman Garg, Li Li,

Weiguang Zheng

et al.

Engineering Analysis with Boundary Elements, Journal Year: 2024, Volume and Issue: 169, P. 106024 - 106024

Published: Nov. 6, 2024

Language: Английский

Citations

6
On the Accurate Construction of Machine Learning Models to Predict Speed of sound in liquid siloxane DOI
C. Hu,

Nawfal Yousif Jamil,

Tapankumar Trivedi

et al.

Journal of the Indian Chemical Society, Journal Year: 2025, Volume and Issue: unknown, P. 101665 - 101665

Published: March 1, 2025

Language: Английский

Citations

0
Uncertainty evaluation in density and viscosity of nanofluids at different temperatures using Gaussian process regression-based Monte-Carlo simulations DOI
Aman Garg, Anshu Sharma, Li Li

et al.

Journal of Molecular Liquids, Journal Year: 2024, Volume and Issue: 411, P. 125794 - 125794

Published: Aug. 17, 2024

Language: Английский

Citations

3
Machine learning assisted buckling analysis of cantilever bio-inspired helicoidal laminated composite cylindrical shells with cutouts DOI
Aman Garg, Neeraj Kumar Shukla, Li Li

et al.

Mechanics Based Design of Structures and Machines, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 25

Published: Dec. 4, 2024

Buckling behavior of laminated composite shells changes drastically with introduction cut outs. The present work aims to predict the buckling bio-inspired helicoidal cantilever cylindrical using finite element-assisted multi-output Support Vector Machine (SVM) learning algorithm. model is trained value for non-dimensional critical load number layers, geometry shell, Equationoror {θ}={∂u0∂x ∂u0∂y ∂v0∂x ∂v0∂y ∂w0∂x ∂w0∂y ∂φx∂x ∂φx∂y ∂φy∂x ∂φy∂y ∂φz∂x ∂φz∂y ∂ϕx∂x ∂ϕx∂y ∂ϕy∂x ∂ϕy∂y ∂ϕz∂x ∂ϕz∂yu0 v0 w0 φx φy ϕx ϕy ϕz}Tor ientation and thickness each layer, dimension circular out are adopted as input parameters perfect, shell containing one square hole at center length, two length predicted. Thus, single surrogate can five cases in a rum. Two different types outs i.e., shaped studied. Influence scheme, holes on For without outs, conventional layup schemes such cross-ply quasi-isotropic found give highest values compared schemes. Fibonacci semi-circular (HS3) gives maximum loads.

Language: Английский

Citations

3
Molecular Interactions and IR Spectral Insights in [Emim][Triflate] and 2-Alkoxyethanol Mixtures: Refractive Index Predictions Using Classical Theories and Machine Learning DOI

Aarthi Sai Meghana Munnangi,

Sreenivasa Rao Aangothu,

V. B. R. Krishnan

et al.

Journal of Chemical & Engineering Data, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 24, 2025

Language: Английский

Citations

0
Thermodynamic properties of binary, ternary and quaternary mixtures: N‑butyl acetate- n-hexanol - n,n-dimethylacetamide-water. Modeling using regression algorithms and optimization using socially-inspired evolutionary algorithms DOI

Iuliana Bîrgăuanu,

Marius Gavrilescu, Florin Leon

et al.

Journal of the Taiwan Institute of Chemical Engineers, Journal Year: 2024, Volume and Issue: 165, P. 105796 - 105796

Published: Oct. 9, 2024

Language: Английский

Citations

1