Results 71 to 80 of about 66,180 (242)

Recent trends on nanofluid heat transfer machine learning research applied to renewable energy

, 2020
Nanofluids have received increasing attention in research and development in the area of renewable and sustainable energy systems. The addition of a small amount of high thermal conductivity solid nanoparticles could improve the thermophysical properties
T. Ma, Zhixiong Guo, Mei Lin, Qiuwan Wang   +3 more
semanticscholar   +1 more source

Comparative Performance Analysis of Various Flat Plate Solar Collectors Incorporating Spiral and Square Arrangement of Circular Type Riser Tube

Energy Science &Engineering, EarlyView.
Three flat‐plate collectors with spiral and square coiled riser tubes were tested and it was found that the spiral type provides the best results with a thermal efficiency of 66.98% for a mass flow rate of 0.4 kg/min. Riser tube geometry is a key factor in optimizing flat‐plate collector output.
Sakhail Islam Biaz, Golam Sharoar Fahim, Md Akib Ul Islam, Nahyan Ahnaf Pratik, Md. Hasan Ali   +4 more
wiley   +1 more source

Inter‐Material Transfer Learning for Accelerated Nanofluid Heat Transfer Prediction: A Machine Learning Approach for Energy Systems

Energy Science &Engineering, EarlyView.
This study presents an inter‐material transfer learning framework for nanofluid heat transfer prediction in energy systems. By leveraging knowledge from Al2O3‐water data, the model accurately predicts hybrid Al2O3‐TiO2 nanofluid performance with only 20 simulations, achieving R2 = 0.985 and reducing computational requirements by 78. ABSTRACT This paper
Soumaya Hadj Salah, Aymen Ochi, Sonia Bezi   +2 more
wiley   +1 more source

Nanofluid heat transfer and machine learning: Insightful review of machine learning for nanofluid heat transfer enhancement in porous media and heat exchangers as sustainable and renewable energy solutions

Results in Engineering
Nanofluid, coupled with machine learning, is at the forefront of cutting-edge research in sustainable and renewable energy sector. This review paper examines the latest developments in the intersection of nanofluid and machine learning for heat transfer ...
Tri W.B. Riyadi, Safarudin G. Herawan, Andy Tirta, Yit Jing Ee, April Lia Hananto, Permana A. Paristiawan, Abdulfatah Abdu Yusuf, Harish Venu, Irianto, Ibham Veza   +9 more
doaj   +1 more source

EFFECT OF TEMPERATURE ON HEAT TRANSFER COEFFICIENT OF TITANIUM DIOXIDE IN ETHYLENE GLYCOL-BASED NANOFLUID

Journal of Mechanical Engineering and Sciences, 2015
Nanofluid as a coolant has potential for use in the heat transfer field because of its augmentation in thermal properties that offers advantages in heat transfer. Research on various working temperatures is still ongoing in the nanofluid field.
K. Abdul Hamid, W.H. Azmi, Rizalman Mamat, N.A. Usri, G. Najafi   +4 more
doaj   +1 more source

Experimental Thermal Performance Investigation of Nontracking Multiple Parabolic Trough Collector With a Single Absorber

Energy Science &Engineering, EarlyView.
With a mass flow rate of 0.3 kg/min, a direct solar radiation of 770.25 W/m2, and a global solar radiation of 915.25 W/m2, the maximum outlet water temperature was 63.3°C, the maximum instantaneous efficiency was 51.78%, and the average heat gain was found between 69.81 and 206.88 W, depending on mass flow rate and direct solar radiation.
Md. Akib Ul Islam, Golam Sharoar Fahim, Maruf Amin Sabbir, Nahyan Ahnaf Pratik, Md. Mahmodul Alam, Md. Hasan Ali   +5 more
wiley   +1 more source

Natural convection in nanofluid enclosure under magnetic field: Entropy generation and economic analysis

Propulsion and Power Research
This study investigates the unsteady natural convection and entropy generation under the effects of magnetic field and baffles inside a nanofluid filled E-shaped enclosure.
Jiang-Tao Hu, Shuo-Jun Mei
doaj   +1 more source

Solid–Liquid Triboelectric Nanogenerators as Physicochemical Encoders for Intelligent Liquid Recognition

Interdisciplinary Materials, EarlyView.
Solid–liquid triboelectric nanogenerators are conceptualized as dynamic physicochemical encoders that encode intrinsic liquid properties into distinguishable triboelectric fingerprints. This review provides a unified framework for these platforms, covering sensing mechanisms in droplet impact, continuous flow, and immersion modes.
Mingrui Wang, Yuanzhe Liang, Lining Zhang, Tian Tang, Kean C. Aw, Kai Qian, Ziyi Dai, Bingpu Zhou, Lihua Tang   +8 more
wiley   +1 more source

Accurate Sizing and Resolution of Nominal 200 nm Diameter Polystyrene Nanospheres With Charge Detection Mass Spectrometry

Small, EarlyView.
This study highlights the utility of charge detection mass spectrometry (CDMS) as a high‐throughput nanoparticle characterization tool. CDMS measurements of 200 nm polystyrene size standards are within 1% of those derived from transmission electron microscopy (TEM). Notably, a mixture of three ∼200 nm samples is readily resolved by CDMS but not by TEM,
Veena S. Avadhani, Conner C. Harper, Evan R. Williams   +2 more
wiley   +1 more source

Nanofluidics and Nanofluids [PDF]

Journal of Nanotechnology, 2019
Jianzhong Lin, Mingzhou Yu, Martin Seipenbusch, Xiaoke Ku, Yu Feng   +4 more
openaire   +2 more sources