4.7 Article

Modeling domestic pancake cooking incorporating the rheological properties of the batter. Application to seven batter recipes

Journal

JOURNAL OF FOOD ENGINEERING
Volume 291, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.jfoodeng.2020.110261

Keywords

Pan cooking; Water vaporization; Batter viscosity; Flour properties; Finite element method

Funding

  1. Spanish Ministry of Science, Innovation and Universities through the RETOS-COLABORATION 2017 program [RTC-2017-5965-6]
  2. European Union
  3. ERDF
  4. BSH Home Appliances Group
  5. Department of Industry and Innovation (Government of Aragon) [T24-17R, T07-17R]

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An axisymmetric model for transient heat and mass transfer during pancake cooking on a domestic induction hob was developed, taking into account the variable thermal contact conductance resulting from crust formation at the bottom of the batter. The model introduced a normalized relationship between batter viscosity and temperature to quantify the heat flow variation due to changes in batter structure. The model successfully predicted weight loss and average surface temperature of the batter using parameters related to rheological properties and composition.
A 2D axisymmetric model for coupled transient heat and mass transfer was developed to simulate pancake cooking on a domestic induction hob. Unlike previous models, the current model considers a variable thermal contact conductance resulting from the crust formation at the bottom of the batter. It aims to take into account the heat transfer phenomena between the pan surface and the batter influenced by the physicochemical changes that the batter undergoes during the cooking process. To quantify the variation of the heat flow that this change in the structure of the batter involves, a normalized relationship between batter viscosity and the temperature was introduced in the model. The performance of seven cereal and legume flour-based batters was evaluated in an experimental setup. The proposed model is capable of adequately predicting the weight loss and the average surface temperature of the batter using parameters related with the rheological properties of the batter and its composition.

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