Abstract
This paper is aimed at estimating interior temperature of an electric oven with respect to the jacket temperature. A discrete dynamic model of first order difference equation is described for the system. Kalman filtering technique is applied to the discrete dynamic model for estimation of the interior temperature. A computer program is written to simulate the system. It was observed that the estimates of the interior temperatures are directly proportional to estimates of the Jacket temperatures with proportionality constant of 0.0009. With this method it is therefore possible to obtain the interior temperature of the electric oven at any given time.
Highlights
Foods are cooked in the oven based on the interior temperature of the oven
This interior temperature of the oven is directly propositional to the jacket temperature
A methodology is presented for estimating the interior temperature of an electric oven through Kalman filter techniques which involves modelling and simulating of the system
Summary
Foods are cooked in the oven based on the interior temperature of the oven. This interior temperature of the oven is directly propositional to the jacket temperature. According to Purlis (2012), Baking and roasting are generalized cooking methods consisting in heating the food inside an oven at a uniform temperature. In these processes heat is transferred to the load mainly by means of radiation and convection. These are widely-known phenomena, complex ad combined thermal, chemical, and mass transfer processes occur within the product and change its properties during the cooking. The analysis takes into account changes of size, shape, materials, radiation surface properties and oven set point temperatures, showing discrepancies of about 1% between predicted and experimental data
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