Secagem de resíduo de goiaba em secador convectivo de bandejas: modelagem matemática e análise do processo
Actually, Brazil is one of the larger fruit producer worldwide, with most of its production being consumed in nature way or either as juice or pulp. It is important to highlig ht in the fruit productive chain there are a lot lose due mainly to climate reasons, as well...
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| Formato: | doctoralThesis |
| Idioma: | por |
| Publicado em: |
Universidade Federal do Rio Grande do Norte
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| Assuntos: | |
| Endereço do item: | https://repositorio.ufrn.br/jspui/handle/123456789/19787 |
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| Resumo: | Actually, Brazil is one of the larger fruit producer worldwide, with most of its production
being consumed in nature way or either as juice or pulp. It is important to highlig
ht in the fruit
productive chain there are a lot lose due mainly to climate reasons, as well as storage,
transportation, season, market, etc. It is known that in the pulp and fruit processing industy a
yield of 50% (in mass) is usually obtained, with the
other part discarded as waste. However,
since most this waste has a high nutrient content it can be used to generate added
-
value
products. In this case, drying plays an important role as an alternative process in order to
improve these wastes generated by
the fruit industry. However, despite the advantage of using
this technique in order to improve such wastes, issues as a higher power demand as well as
the thermal efficiency limitation should be addressed. Therefore, the control of the main
variables in t
his drying process is quite important in order to obtain operational conditions to
produce a final product with the target specification as well as with a lower power cost.
M
athematical models can be applied to this process as a tool in order to optimize t
he best
conditions.
The main aim of this work was to evaluate the drying behaviour of a guava industrial
pulp waste using a batch system with a convective
-
tray dryer both experimentally and using
mathematical modeling. In the experimental
study
, the dryin
g carried out using a group of
trays as well as the power consume were assayed as response to the effects of operational
conditions (temperature, drying air flow
rate and solid mass). Obtained results allowed
observing the most significant variables in the
process. On the other hand, the
phenomenological mathematical model was validated and allowed to follow the moisture
profile as well as the temperature in the solid and gas phases in every tray. Simulation results
showed the most favorable procedure to o
btain the minimum processing time as well as the
lower power demand. |
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