### Abstract

The purpose of this study is to determine the optimum condition of humidity contents, drying rate and energy in the experiment of drying of lemon grass in the fluidized bed dryer with presence of inert particles. The studied drying parameters were temperature, air velocity, mass of sand and drying time. The optimization methods used in the studies were Taguchi, Pareto, ANOVA, XLSTAT and Design- Expert. Design of experiment (DOE) used in this study was three levels and three factors (3L3F) where L_{27} orthogonal array was implemented. DOE of three levels and four factors (3L4F) was applied for the optimization to observe the effect of drying time which implemented L_{81} orthogonal array. The temperatures were varied at 40°C, 50°C, 60°C; the air velocities were ranged at 0.61 m/s, 0.73 m/s, 0.85 m/s; mass of sand as an inert particle used in the experiment were 0 g, 50 g and 100g. Lastly, the drying time was conducted at 10 min, 20 min and 30 min. In optimization process, Taguchi and Pareto ANOVA are the most appropriate statistical method to optimize the data due to its simplicity and no ANOVA table involved. For DOE of 3L3F, the optimum value of humidity contents was 0.0658 g/g aq which occurred at temperature of 60°C, air velocity of 0.85 m/s and 100g of sand. The optimum value of drying rate was 0.2497 g/g min which occurred at temperature of 50°C, air velocity of 0.85 m/s and 50 g of sand. Finally the optimum value of energy occurred at temperature of 40°C, air velocity of 0.61 m/s and 100 g of sand.

Original language | English |
---|---|

Pages (from-to) | 1234-1249 |

Number of pages | 16 |

Journal | World Applied Sciences Journal |

Volume | 24 |

Issue number | 9 |

DOIs | |

Publication status | Published - 2013 |

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### Keywords

- Design expert
- Drying
- Lemon grass
- Optimization
- Pareto ANOVA
- Taguchi
- XLSTAT

### ASJC Scopus subject areas

- General

### Cite this

*World Applied Sciences Journal*,

*24*(9), 1234-1249. https://doi.org/10.5829/idosi.wasj.2013.24.09.1332

**Comparison of drying parameter optimization of lemon grass.** / Abd Rahman, Norliza; Tasirin, Siti Masrinda; Razak, A. H A; Mokhtar, M.; Muslim, S.

Research output: Contribution to journal › Article

*World Applied Sciences Journal*, vol. 24, no. 9, pp. 1234-1249. https://doi.org/10.5829/idosi.wasj.2013.24.09.1332

}

TY - JOUR

T1 - Comparison of drying parameter optimization of lemon grass

AU - Abd Rahman, Norliza

AU - Tasirin, Siti Masrinda

AU - Razak, A. H A

AU - Mokhtar, M.

AU - Muslim, S.

PY - 2013

Y1 - 2013

N2 - The purpose of this study is to determine the optimum condition of humidity contents, drying rate and energy in the experiment of drying of lemon grass in the fluidized bed dryer with presence of inert particles. The studied drying parameters were temperature, air velocity, mass of sand and drying time. The optimization methods used in the studies were Taguchi, Pareto, ANOVA, XLSTAT and Design- Expert. Design of experiment (DOE) used in this study was three levels and three factors (3L3F) where L27 orthogonal array was implemented. DOE of three levels and four factors (3L4F) was applied for the optimization to observe the effect of drying time which implemented L81 orthogonal array. The temperatures were varied at 40°C, 50°C, 60°C; the air velocities were ranged at 0.61 m/s, 0.73 m/s, 0.85 m/s; mass of sand as an inert particle used in the experiment were 0 g, 50 g and 100g. Lastly, the drying time was conducted at 10 min, 20 min and 30 min. In optimization process, Taguchi and Pareto ANOVA are the most appropriate statistical method to optimize the data due to its simplicity and no ANOVA table involved. For DOE of 3L3F, the optimum value of humidity contents was 0.0658 g/g aq which occurred at temperature of 60°C, air velocity of 0.85 m/s and 100g of sand. The optimum value of drying rate was 0.2497 g/g min which occurred at temperature of 50°C, air velocity of 0.85 m/s and 50 g of sand. Finally the optimum value of energy occurred at temperature of 40°C, air velocity of 0.61 m/s and 100 g of sand.

AB - The purpose of this study is to determine the optimum condition of humidity contents, drying rate and energy in the experiment of drying of lemon grass in the fluidized bed dryer with presence of inert particles. The studied drying parameters were temperature, air velocity, mass of sand and drying time. The optimization methods used in the studies were Taguchi, Pareto, ANOVA, XLSTAT and Design- Expert. Design of experiment (DOE) used in this study was three levels and three factors (3L3F) where L27 orthogonal array was implemented. DOE of three levels and four factors (3L4F) was applied for the optimization to observe the effect of drying time which implemented L81 orthogonal array. The temperatures were varied at 40°C, 50°C, 60°C; the air velocities were ranged at 0.61 m/s, 0.73 m/s, 0.85 m/s; mass of sand as an inert particle used in the experiment were 0 g, 50 g and 100g. Lastly, the drying time was conducted at 10 min, 20 min and 30 min. In optimization process, Taguchi and Pareto ANOVA are the most appropriate statistical method to optimize the data due to its simplicity and no ANOVA table involved. For DOE of 3L3F, the optimum value of humidity contents was 0.0658 g/g aq which occurred at temperature of 60°C, air velocity of 0.85 m/s and 100g of sand. The optimum value of drying rate was 0.2497 g/g min which occurred at temperature of 50°C, air velocity of 0.85 m/s and 50 g of sand. Finally the optimum value of energy occurred at temperature of 40°C, air velocity of 0.61 m/s and 100 g of sand.

KW - Design expert

KW - Drying

KW - Lemon grass

KW - Optimization

KW - Pareto ANOVA

KW - Taguchi

KW - XLSTAT

UR - http://www.scopus.com/inward/record.url?scp=84884259336&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84884259336&partnerID=8YFLogxK

U2 - 10.5829/idosi.wasj.2013.24.09.1332

DO - 10.5829/idosi.wasj.2013.24.09.1332

M3 - Article

AN - SCOPUS:84884259336

VL - 24

SP - 1234

EP - 1249

JO - World Applied Sciences Journal

JF - World Applied Sciences Journal

SN - 1818-4952

IS - 9

ER -