Optimization of Turbulent Flow Heat Transfer in a 3D Cubic Shell Heat Exchanger using Non-Mixture Multiphase Nanofluids DOI Creative Commons

Ali Khaleel Kareem,

Athraa Hameed Turki,

Ali M. Mohsen

et al.

Journal of Engineering Research, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 1, 2024

Language: Английский

Enhancing hydropower generation Predictions: A comprehensive study of XGBoost and Support Vector Regression models with advanced optimization techniques DOI Creative Commons
Zhenya Qi,

Yu-Dong Feng,

Shanyong Wang

et al.

Ain Shams Engineering Journal, Journal Year: 2024, Volume and Issue: 16(1), P. 103206 - 103206

Published: Dec. 7, 2024

Language: Английский

Citations

10
The prognostic significance of epoxide hydrolases in colorectal cancer DOI
Lichao Cao,

Ying Ba,

Fangfang Chen

et al.

Biochemistry and Biophysics Reports, Journal Year: 2025, Volume and Issue: 41, P. 101912 - 101912

Published: Jan. 1, 2025

Language: Английский

Citations

2
Machine learning-based correlation for economic evaluation of HTSE-nuclear cogeneration plant DOI
Khashayar Sadeghi, Seyed Hadi Ghazaie, Ekaterina Sokolova

et al.

International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: 114, P. 337 - 351

Published: March 1, 2025

Language: Английский

Citations

1
Predictive modeling of the mechanical behavior of 3D-printed polylactic acid/wood composite: Comparison of GEP and ANN methods DOI Creative Commons
Abhijit Bhowmik, Raman Kumar,

M K Ranganathaswamy

et al.

AIP Advances, Journal Year: 2025, Volume and Issue: 15(4)

Published: April 1, 2025

This study introduces a novel approach for predicting the mechanical properties of 3D-printed polylactic acid wood composites using gene expression programming (GEP) and artificial neural networks (ANN) modeling methods. Addressing challenge determining optimal process parameters in fused deposition natural fiber composites, experiments were designed Taguchi’s L27 orthogonal array. Five key analyzed: layer thickness (100–300 μm), printing speed (40–90 mm/s), raster angle (0°–90°), infill density (35%–95%), nozzle temperature (200–220 °C). ANOVA results identified as most influential factor, contributing 38.36% 26% to tensile compressive strengths, respectively. Subsequently, comparative statistical analysis evaluated predictive accuracy GEP ANN. The model exhibited superior performance, achieving validation errors between 0.04% 0.82%, outperforming ANN (0.34%–5.31%). These findings provide robust framework enhancing performance sustainable enabling more efficient reliable production processes additive manufacturing.

Language: Английский

Citations

1
Intelligent visual question answering in TCM education: An innovative application of IoT and multimodal fusion DOI
Wei Bi,

Qingyu Xiong,

Xingyi Chen

et al.

Alexandria Engineering Journal, Journal Year: 2025, Volume and Issue: 118, P. 325 - 336

Published: Jan. 23, 2025

Language: Английский

Citations

0
Characterization and Optimization of Cerium Oxide Nanoparticle-Doped Cellulose Acetate Films Using the Box-Behnken Design DOI Creative Commons
Luís Oliveira, Noemi-Raquel Checca-Huaman, Sérgio Neves Monteiro

et al.

Journal of Materials Research and Technology, Journal Year: 2025, Volume and Issue: 35, P. 2736 - 2754

Published: Jan. 31, 2025

Language: Английский

Citations

0
Determination of design plastic strain limit for notched structural steel tensile specimens DOI Creative Commons
Kirill Golubiatnikov, Abhishek Ghimire, František Wald

et al.

Alexandria Engineering Journal, Journal Year: 2025, Volume and Issue: 121, P. 38 - 52

Published: Feb. 25, 2025

Language: Английский

Citations

0
Self-Lubricative Performance of Laser Processed Graphene Structures for Space Applications Via Digital Twin Approach DOI Creative Commons
Praveen Kumar Kanti, H.G. Prashantha Kumar, V. Vicki Wanatasanappan

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104467 - 104467

Published: Feb. 1, 2025

Language: Английский

Citations

0
Comparative Evaluation of Wastewater and Greywater Treatment by Algal Membrane Photobioreactor for Small Communities DOI
Md. Shafiquzzaman, Husnain Haider, Amimul Ahsan

et al.

Water Air & Soil Pollution, Journal Year: 2025, Volume and Issue: 236(4)

Published: March 11, 2025

Language: Английский

Citations

0
A comprehensive review on the viability of minimum quantity lubrication technology for machining difficult-to-cut alloys DOI Creative Commons
Abhijit Bhowmik, Raman Kumar,

T. Ramachandran

et al.

AIP Advances, Journal Year: 2025, Volume and Issue: 15(3)

Published: March 1, 2025

In recent years, sustainability has evolved profoundly and garnered significant global attention, establishing itself as a pivotal topic in contemporary research. line with this development, the present review thoroughly examines existing studies on machining processes employing minimum quantity lubrication (MQL). The growing imperative for sustainable practices driven researchers to reassess alternative techniques within operations. Although conventional lubri-cooling agents continue be widely used engineering alloys, an expanding body of research demonstrates that incorporation vegetable oils, nanofluids, nanoplatelets into MQL systems can yield superior performance compared traditional methods. presents overview developments advancements related technology provides rigorous analysis oils nanofluids metalworking fluids. This study also eco-friendly approaches flood serves meaningful resource move toward greener solutions.

Language: Английский

Citations

0