Research Article

Estimation of the Experimental Drying Performance Parameters Using Polynomial SVM and ANN Models

Volume: 4 Number: 3 September 20, 2020
EN

Estimation of the Experimental Drying Performance Parameters Using Polynomial SVM and ANN Models

Abstract

The utilization of solar energy in Turkey is very popular because of yearly high solar radiation compared to other countries. One of the common usage area of solar energy is food drying processes. Foods are generally dried under direct sunlight. However, the quality of the dried product exposed to solar radiation reduces. Additionally, the food product dried in outdoors is also exposed to the negative effects of the external environment and thus adversely affects the product quality. In order to overcome these problems, many studies are carried out on solar assisted drying systems. It is very important to calculate or modeling the drying parameters for the design of solar assisted drying systems. In recent years, interest on calculative intelligence methods increases due to the fact that it has high predictive power in modeling of systems. In this study, performance parameters such as solar collector efficiency (ηc), drying rate (DR) and convective heat transfer coefficient (hc) obtained from a solar energy assisted dryer for different products were estimated by Support Vector Machine (SVM) and Artificial Neural Network (ANN) models. The accuracy criteria of the predicted results for each model were determined and compared. It was shown from the results that the best converging models of DR and ηc parameters were ANN and SVMC, respectively. However, it was observed that SVML was the best convergent model for hc values obtained from apple product, and ANN model was the best convergent model for hc values obtained from other products.

Keywords

Supporting Institution

The Scientific Research Projects Unit of Osmaniye Korkut Ata University

Project Number

OKÜBAP-2014-PT3-032

Thanks

The Scientific Research Projects Unit of Osmaniye Korkut Ata University

References

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  2. Akman, H. (2017). Thermodynamic Analysis of a Solar Energy Assisted Drying System (MSc Thesis), Osmaniye Korkut Ata University, Osmaniye.
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  7. Çerçi, K. N., Süfer, Ö., Söyler, M., Hürdoğan, E., Özalp, C. (2018). Thin layer drying of zucchini in solar dryer located in Osmaniye region. Tehnički glasnik, 12(2): 79-85.
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Details

Primary Language

English

Subjects

Mechanical Engineering

Journal Section

Research Article

Publication Date

September 20, 2020

Submission Date

February 21, 2020

Acceptance Date

June 2, 2020

Published in Issue

Year 1970 Volume: 4 Number: 3

APA
Çerçi, K. N., Saydam, D. B., & Hürdoğan, E. (2020). Estimation of the Experimental Drying Performance Parameters Using Polynomial SVM and ANN Models. European Mechanical Science, 4(3), 123-130. https://doi.org/10.26701/ems.692149

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