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

MVJ College of Engineering
PA Engineering College Mangalore
Recep Tayyip Erdogon University
AGPIT
Taif University
Chandigarh University
Glocal University
King Khalid University
Vellore Institute of Technology

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

29 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

PY - 2022

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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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