山东农业大学学报（自然科学版）2016，Vol.47Issue(5)：710-715,6.DOI:10.3969/j.issn.1000-2324.2016.05.014
基于Weibull分布函数的槟榔干燥模拟
The Simulation for Drying Areca Nut with Weibull Distribution Function
郭守志 1宋占华 1李法德 2宋华鲁 1张宁 2闫银发1
作者信息
- 1. 山东农业大学 机电学院，山东 泰安 271018
- 2. 山东省园艺机械与装备重点实验室，山东 泰安 271018
- 折叠
摘要
Abstract
Application of Weibull distribution was used in this study to describe the drying process of areca nut under different drying methods (dry-chamber drying, hot air drying) and drying temperature (60, 80 and 100 ℃), simulate and analyze the drying kinetics curves. The result indicated that Weibull distribution could provide good prediction for the moisture content. Scale parameter α decreased with the increase of drying temperature. However shape parameter β had a little impact on drying temperatures. Calculated moisture diffusion coefficient Dcal of areca nut samples was calculated, which ranged from 0.1123×10-7 to 0.4105×10-7 m2·s-1. According to Arrhenius equation, dry activation energy of dry-chamber drying and hot air drying could be calculated to be 33.19 and 32.55 kJ/mol respectively. The result provided a reference for the application of Weibull distribution on areca nut drying.关键词
干燥/Weibull分布函数/槟榔/模拟Key words
Drying/Weibull distribution function/areca nut/simulation分类
矿业与冶金引用本文复制引用
郭守志,宋占华,李法德,宋华鲁,张宁,闫银发..基于Weibull分布函数的槟榔干燥模拟[J].山东农业大学学报（自然科学版）,2016,47(5):710-715,6.
