[HTML][HTML] Twisted helical Tape's impact on heat transfer and friction in zinc oxide (ZnO) nanofluids for solar water heaters: biomedical insight

M Arun, D Barik, SSR Chandran, N Govil… - Case Studies in Thermal …, 2024 - Elsevier
This study explores the influence of Zinc Oxide (ZnO) nanofluids on solar water heaters with
Dimple Tubes and Helical Twisted Tape (DTHTT) surfaces. The helical twisted tape design …

[HTML][HTML] Machinability investigation of natural fibers reinforced polymer matrix composite under drilling: Leveraging machine learning in bioengineering applications

MR Karim, SM Ashiquzzaman Nipu… - AIP Advances, 2024 - pubs.aip.org
The growing demand for fiber-reinforced polymer (FRP) in industrial applications has
prompted the exploration of natural fiber-based composites as a viable alternative to …

[HTML][HTML] Recent progress and development of vibration-assisted metal forming process

Z Xu, H Yang, W Yang, H Yu, X Guo, H Pan… - Journal of Materials …, 2025 - Elsevier
Ultrasonic vibration-assisted plastic processing technology effectively reduces the forming
force during metal processing and enhances the overall performance and processing quality …

Constitutive model and microstructure evolution of thermal deformation behavior of in situ TiB2p/Al-Zn-Mg-Cu composites with high Zn content

H Deng, Z Zheng, W Song, X Tan, X Liang, H Li… - Materials Today …, 2024 - Elsevier
The deformation behavior of in situ TiB 2 particle reinforced Al-Zn-Mg-Cu matrix composites
with high Zn content was investigated through thermal compression tests. A comparative …

Evaluation of Machine Learning Models for Predicting the Hot Deformation Flow Stress of Sintered Al–Zn–Mg Alloy

K Harikrishna, A Nithin… - Journal of …, 2025 - asmedigitalcollection.asme.org
In predicting flow stress, machine learning (ML) offers significant advantages by leveraging
data-driven approaches, enhancing material design, and accurately forecasting material …

Artificial intelligence based prediction and multi-objective RSM optimization of tectona grandis biodiesel with Elaeocarpus Ganitrus

VV Kannan, B Kanabar, J Gowrishankar, A Khatibi… - Scientific Reports, 2025 - nature.com
Meta-heuristic optimization algorithms are widely applied across various fields due to their
intelligent behavior and fast convergence, but their use in optimizing engine behavior …

[HTML][HTML] Investigation on dynamic deformation behavior of 7A75 aluminum alloy over wide strain rates and constitutive model establishment

B Wu, Y Wang, X Liu, D Zhang, S Zhou, L Deng… - Journal of Materials …, 2024 - Elsevier
The aluminum alloy components on automobile often experience high strain rate
deformation during accidents. The dynamic deformation behavior and constitutive model are …

[HTML][HTML] A dislocation-based model for the substructure evolution and flow stress of aluminum alloys during high-temperature compression

Q Yang, T Wojcik, E Kozeschnik - Journal of Materials Research and …, 2025 - Elsevier
The microstructure evolution of aluminum alloys during plastic deformation is a complex
metallurgical process controlled by interacting physical mechanisms, such as recovery …

[HTML][HTML] Microstructure and hot deformation behavior of Cu–Ti–Zr (-Mg) alloys

Z Han, M Zhou, K **g, C Chu, Y Zhang, B Tian… - Journal of Materials …, 2024 - Elsevier
In this study, the thermal deformation behavior of Cu–Ti–Zr (-Mg) alloys were investigated by
Gleeble-1500D. The two alloys were deformed at 700–900° C with 0.003–10 s− 1 strain …

Strain-compensated constitutive model and hot processing map for extruded Al-Mg-Mn-Ti alloy based on reheating deformation behavior

Q Li, J Wen, G Wang, L Jiang, Z Zhao - Materials Today Communications, 2025 - Elsevier
In contemporary industry, the escalating complexity of application environments and the
enhancement of performance requirements have necessitated more stringent criteria for the …