Abstract
Fuzzy sets theory allows uncertain phenomena to be treated mathematically. A fuzzy predictive model was developed to predict the breakage susceptibility of dried maize based on measurable process variables. The model is based on data acquired from nine experiments in a laboratory crossflow dryer with various initial maize moisture contents and drying temperatures. A 2-h verification experiment showed that 28 of the 36 predictions matched measured values of breakage susceptibility. The model can be used to predict maize breakage during drying.
Original language | English (US) |
---|---|
Pages (from-to) | 77-90 |
Number of pages | 14 |
Journal | Journal of Agricultural Engineering Research |
Volume | 52 |
Issue number | C |
DOIs | |
State | Published - Jan 1 1992 |
ASJC Scopus subject areas
- Aquatic Science