Citation
Ubaidillah U., . and Hawa L. C., . and Wibisono Y., . Proper model of thin layer drying curve for taro (Colocasia esculenta L. Schott) chips. pp. 209-216. ISSN 2231-7546
Abstract
The present work reported the determination of the most proper thin layer drying model for the understanding of taro chips drying behaviour. Taro chips with average initial moisture content of 77.28 1.7 (db) were dried in a custom laboratory scale hot-air dryer with static tray type at selected hot air temperatures (50 60 70C). The moisture content drying rate and moisture ratio during drying were measured and calculated. The calculated moisture ratio data were fitted to the 12 existed thin layer drying models. The results indicated that the drying rate depended on hot air temperature applied in which drying rate increased with increasing hot air temperature. Among the 12 proposed models the Midilli et al. (2002) model precisely represented the hot air drying behaviour of taro chips. By using the Midilli et al. (2002) model higher coefficient of determination (R2 : 0.997 0.998 0.998) lower mean square error (RMSE: 0.019 0.016 0.013) and lower mean square of deviation (2 : 4.8e-04 0.00033 2.2e-04) were obtained for 50 60 and 70C respectively.
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Abstract
The present work reported the determination of the most proper thin layer drying model for the understanding of taro chips drying behaviour. Taro chips with average initial moisture content of 77.28 1.7 (db) were dried in a custom laboratory scale hot-air dryer with static tray type at selected hot air temperatures (50 60 70C). The moisture content drying rate and moisture ratio during drying were measured and calculated. The calculated moisture ratio data were fitted to the 12 existed thin layer drying models. The results indicated that the drying rate depended on hot air temperature applied in which drying rate increased with increasing hot air temperature. Among the 12 proposed models the Midilli et al. (2002) model precisely represented the hot air drying behaviour of taro chips. By using the Midilli et al. (2002) model higher coefficient of determination (R2 : 0.997 0.998 0.998) lower mean square error (RMSE: 0.019 0.016 0.013) and lower mean square of deviation (2 : 4.8e-04 0.00033 2.2e-04) were obtained for 50 60 and 70C respectively.
Additional Metadata
| Item Type: | Article |
|---|---|
| AGROVOC Term: | Taro |
| AGROVOC Term: | Colocasia esculenta |
| AGROVOC Term: | Slicing |
| AGROVOC Term: | Drying |
| AGROVOC Term: | Air temperature |
| AGROVOC Term: | Hot air drying |
| AGROVOC Term: | Measurement |
| AGROVOC Term: | Air moisture |
| AGROVOC Term: | Moisture content |
| AGROVOC Term: | Food processing equipment |
| Depositing User: | Mr. AFANDI ABDUL MALEK |
| Last Modified: | 24 Apr 2025 00:53 |
| URI: | http://webagris.upm.edu.my/id/eprint/7779 |
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