Modeling the kinetics, energy consumption and shrinkage of avocado pear pulp during drying in a microwave assisted dryer

Abstract Drying kinetics, energy utilization (EU) and shrinkage level of avocado pear pulp during drying were investigated and modeled to determine the condition that enhances the quality of the dried product. Drying was carried out using a microwave assisted dryer with data lodger. The system was set at a constant power of 200 W, air velocity of 1.4 m/s, and temperatures of 50, 60 and 70 °C with pulp thickness being 5 mm. Fifteen thin-layer drying models, five non-linear shrinkage models and ANN methods were tested for describing the drying behaviour of avocado pulp using statistical parameters. The results revealed that drying took place in the falling rate period with the above temperatures reducing the moisture content of the pulp from 64.12 to 2.16 % wet basis within 15,360, 11,520 and 5,130 s, respectively. The drying rate and effective diffusivity increased with increase in temperature and ranged from 6.05 × 10 −3 to 1.70 × 10 −2 kg/kgs and 3.11 to 9.34 × 10 −9 m 2 /s, respectively. The activation energy of the pulp was 50.34 kJ/mol. Among the drying models tested, Page and Aghashilo models provided the best statistical parameters for describing the drying behaviour of the pulp, while ANN demonstrated great ability to predict MR and SR more accurately with high and low R 2 and RMSE. A non-linear shrinkage model developed also had the best fit qualities for describing the shrinkage behaviour of the pulp. The energy utilized (EU) , specific energy utilized (S EU ) , heat transfer coefficient (h tc ) and mass transfer coefficient (M tc ) of the pulp ranged from 7.36 to 3.19 kWh, 11.21 to 5.76 × 10 −2 Wh/kg, 0.1054 to 7.98 × 10 −7 W/mK and 2.06 to 4.28 × 10 −6 m/s respectively and were statistically (5 %) influenced by temperature. The EU model developed had the best description behaviour of the energy relationship with other factors, having high R 2 and low RMSE and SSE values.

Authors

Institutions

Publication Details

Journal
Chemical Product and Process Modeling
Published
2024-11-23
DOI
https://doi.org/10.1515/cppm-2024-0062
Citations
3
Primary Topic
Food Drying and Modeling
Type
article
Field-Weighted Citation Impact
1.05
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modeling the kinetics, energy consumption and shrinkage of avocado pear pulp during drying in a microwave assisted dryer

James Chinaka Ehiem, Ndubisi A. Aviara, A. O. Igbozulike, Okechukwu Oduma et al.
3 citations
Chemical Product and Process Modeling
Food Drying and Modeling
1.05
article

Modeling the kinetics, energy consumption and shrinkage of avocado pear pulp during drying in a microwave assisted dryer

James Chinaka Ehiem, Ndubisi A. Aviara, A. O. Igbozulike, Okechukwu Oduma, V. Raghavan
article en
3 citations

Abstract

Abstract Drying kinetics, energy utilization (EU) and shrinkage level of avocado pear pulp during drying were investigated and modeled to determine the condition that enhances the quality of the dried product. Drying was carried out using a microwave assisted dryer with data lodger. The system was set at a constant power of 200 W, air velocity of 1.4 m/s, and temperatures of 50, 60 and 70 °C with pulp thickness being 5 mm. Fifteen thin-layer drying models, five non-linear shrinkage models and ANN methods were tested for describing the drying behaviour of avocado pulp using statistical parameters. The results revealed that drying took place in the falling rate period with the above temperatures reducing the moisture content of the pulp from 64.12 to 2.16 % wet basis within 15,360, 11,520 and 5,130 s, respectively. The drying rate and effective diffusivity increased with increase in temperature and ranged from 6.05 × 10 −3 to 1.70 × 10 −2 kg/kgs and 3.11 to 9.34 × 10 −9 m 2 /s, respectively. The activation energy of the pulp was 50.34 kJ/mol. Among the drying models tested, Page and Aghashilo models provided the best statistical parameters for describing the drying behaviour of the pulp, while ANN demonstrated great ability to predict MR and SR more accurately with high and low R 2 and RMSE. A non-linear shrinkage model developed also had the best fit qualities for describing the shrinkage behaviour of the pulp. The energy utilized (EU) , specific energy utilized (S EU ) , heat transfer coefficient (h tc ) and mass transfer coefficient (M tc ) of the pulp ranged from 7.36 to 3.19 kWh, 11.21 to 5.76 × 10 −2 Wh/kg, 0.1054 to 7.98 × 10 −7 W/mK and 2.06 to 4.28 × 10 −6 m/s respectively and were statistically (5 %) influenced by temperature. The EU model developed had the best description behaviour of the energy relationship with other factors, having high R 2 and low RMSE and SSE values.

Chemical Product and Process ModelingVol. 19(6)
McGill University (CA), Michael Okpara University of Agriculture (NG)
Affordable and clean energy
Openalex Percentile: Top 22%
Food Drying and Modeling
1.05
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.