Zobrazeno 1 - 10
of 80
pro vyhledávání: '"D.S. Adelekan"'
Publikováno v:
Heliyon, Vol 9, Iss 10, Pp e20832- (2023)
The issues of flammability associated with A3-class hydrocarbon-based refrigerants are controllable by limiting their mass charges. However, these reductions in their mass charge below certain limits deteriorate their performance efficiency. In this
Externí odkaz:
https://doaj.org/article/2eea117d5b0c4e28b6f30665b13660c8
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 8451-8466 (2022)
Artificial intelligence (AI) models for refrigeration, heat pumps, and air conditioners have emerged in recent decades. The universal approximation accuracy and prediction performances of various AI structures like feedforward neural networks, radial
Externí odkaz:
https://doaj.org/article/0c1a42d73d474d42842474ba7d3057ae
Autor:
D.S. Adelekan, O.S. Ohunakin, M.H. Oladeinde, Gill Jatinder, O.E. Atiba, M.O. Nkiko, A.A. Atayero
Publikováno v:
Heliyon, Vol 7, Iss 2, Pp e06156- (2021)
This study investigates the effect of varying test conditions including ambient temperature (19, 22, and 25 °C), mass charges of R600a refrigerant (40, 50, 60, and 70 g), and concentrations of TiO2 nanolubricant (0, 0.2 and 0.4 g/L) on the performan
Externí odkaz:
https://doaj.org/article/75aa2b872d22400ebde6e7e049ef6b66
Publikováno v:
Materials Today: Proceedings. 65:2119-2123
Akademický článek
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Autor:
O.E. Atiba, D.S Adelekan, Olayinka S. Ohunakin, Jatinder Gill, Aderemi A. Atayero, Jagdev Singh, Mojisola O. Nkiko
Publikováno v:
Energy Reports, Vol 6, Iss, Pp 1405-1417 (2020)
This work presents an adaptive neuro-fuzzy inference system (ANFIS) artificial intelligence methodology of predicting the 2nd law efficiency and total irreversibility of a refrigeration system running on LPG/TiO 2 –nano-refrigerants. For this purpo
Publikováno v:
International Journal of Advanced Trends in Computer Science and Engineering. 9:6783-6789
Machining vibration is a significant concern in the manufacturing industry, as vibration cannot be eliminated during metal to metal turning operations. It can be controlled to the minimum when a proper study is carryout before the turning process. Th
Akademický článek
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Publikováno v:
Procedia Manufacturing. 35:1054-1060
This review paper focus on the application of various machining techniques based on the phenomena of CNC operations, the study of different machining operations cannot be over emphasized due to its importance in the area of manufacturing and producti
Autor:
O.A. Aghedo, Imhade P. Okokpujie, O.E. Atiba, Olayinka S. Ohunakin, D.S Adelekan, Christian Bolu, Jatinder Gill
Publikováno v:
Procedia Manufacturing. 35:1061-1066
Increasing production quality and minimizing costs in machining process have become an important aspect for green machining. In order for this to be sustained, high concern towards human health and high environmental awareness has resulted to the min