Abstract

Moisturecontent (MC) is the most important variable in evaluating material drying performance, so the ability to predict MC in drying process is really important. This research aims to formulate the mathematic relationship between drying process variable pneumatically and moisture content of cassava flour in drying process 1 and 2 by applying dimensional analysis. In this research, there has been a design of pneumatic drying equipment and test using various treatments such as input capacity, drying air temperature, and drying air velocity. Based on the data analysis, the relationship between MC and drying process variables are as follow: Drying cycle 1: MC = (5,794287E − 22). (ρpr·Dpr3/Qi·θ)1,4085 (Tu/Tbo)-2,2504 (Vu·θ/Dpr)5,863 Drying cycle 2: MC = (2,36831E − 10). (ρprDpr3/Qi·θ)1,059 (Tu/Tbo)-4.808 (Vu·θ/Dpr)3,709 The equations have determination coefficient value 0.85, so it has big possibility to use it as alternative to predict moisture content of dried flour.

Highlights

  • Cassava flour is a starch produced by industries that commonly have applied mechanical drying system

  • Wet cassava flour is put inside a vertical dryer pipe line in certain length, and dry flour and air are separated using cyclone that is put at the end of the dryer pipe line

  • Dimensional analysis is a means to find out quantitative relationship of flour product, drying machine, and drying process

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Summary

Introduction

Cassava flour is a starch produced by industries that commonly have applied mechanical drying system. It is necessary to have some scientific information to develop drying process of cassava flour, considering that the drying process is a step which needs big and expensive energy (Desrosier, 2008)[4]. In some cassava or starch industries, pneumatic drying method has been used. Various variables of drying process operations, dryer machine, or grated material of cassava flour that has been dried are really important at determining the final quality of the flour drying result. In the material drying process, the main variable used to evaluate drying process performance is moisture content of the drying result

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