Thermal Performance Study of Solar Air Dryers for Cashew Kernel: A Comparative Analysis and Modelling Using Response Surface Methodology (RSM) and Artificial Neural Network (ANN)

Vivekanand B. Huddar; Abdul Razak; Erdem Cuce; Sudarshana Gadwal; Mamdooh Alwetaishi; Asif Afzal; C. Ahamed Saleel; Saboor Shaik

doi:10.1155/2022/4598921

Thermal Performance Study of Solar Air Dryers for Cashew Kernel: A Comparative Analysis and Modelling Using Response Surface Methodology (RSM) and Artificial Neural Network (ANN)

Vivekanand B. Huddar^*
, Abdul Razak
, Erdem Cuce^*
, Sudarshana Gadwal
, Mamdooh Alwetaishi
, Asif Afzal^*
, C. Ahamed Saleel
, Saboor Shaik^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

27 Citations (SciVal)

Original language	English
Article number	4598921
Journal	International Journal of Photoenergy
Volume	2022
DOIs	https://doi.org/10.1155/2022/4598921
Publication status	Published (VoR) - 2022

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10.1155/2022/4598921

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Huddar, V. B., Razak, A., Cuce, E., Gadwal, S., Alwetaishi, M., Afzal, A., Saleel, C. A., & Shaik, S. (2022). Thermal Performance Study of Solar Air Dryers for Cashew Kernel: A Comparative Analysis and Modelling Using Response Surface Methodology (RSM) and Artificial Neural Network (ANN). International Journal of Photoenergy, 2022, Article 4598921. https://doi.org/10.1155/2022/4598921

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title = "Thermal Performance Study of Solar Air Dryers for Cashew Kernel: A Comparative Analysis and Modelling Using Response Surface Methodology (RSM) and Artificial Neural Network (ANN)",

author = "Huddar, \{Vivekanand B.\} and Abdul Razak and Erdem Cuce and Sudarshana Gadwal and Mamdooh Alwetaishi and Asif Afzal and Saleel, \{C. Ahamed\} and Saboor Shaik",

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year = "2022",

doi = "10.1155/2022/4598921",

language = "English",

volume = "2022",

journal = "International Journal of Photoenergy",

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Huddar, VB, Razak, A, Cuce, E, Gadwal, S, Alwetaishi, M, Afzal, A, Saleel, CA & Shaik, S 2022, 'Thermal Performance Study of Solar Air Dryers for Cashew Kernel: A Comparative Analysis and Modelling Using Response Surface Methodology (RSM) and Artificial Neural Network (ANN)', International Journal of Photoenergy, vol. 2022, 4598921. https://doi.org/10.1155/2022/4598921

Thermal Performance Study of Solar Air Dryers for Cashew Kernel: A Comparative Analysis and Modelling Using Response Surface Methodology (RSM) and Artificial Neural Network (ANN). / Huddar, Vivekanand B.; Razak, Abdul; Cuce, Erdem et al.
In: International Journal of Photoenergy, Vol. 2022, 4598921, 2022.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Thermal Performance Study of Solar Air Dryers for Cashew Kernel

T2 - A Comparative Analysis and Modelling Using Response Surface Methodology (RSM) and Artificial Neural Network (ANN)

AU - Huddar, Vivekanand B.

AU - Razak, Abdul

AU - Cuce, Erdem

AU - Gadwal, Sudarshana

AU - Alwetaishi, Mamdooh

AU - Afzal, Asif

AU - Saleel, C. Ahamed

AU - Shaik, Saboor

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SN - 1110-662X

VL - 2022

JO - International Journal of Photoenergy

JF - International Journal of Photoenergy

M1 - 4598921

ER -

Thermal Performance Study of Solar Air Dryers for Cashew Kernel: A Comparative Analysis and Modelling Using Response Surface Methodology (RSM) and Artificial Neural Network (ANN)

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