Predictive Sous Vide Heating for Faster Even Cooking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional cooking methods, such as oven or stovetop cooking, have a narrow window for achieving evenly cooked food, risking over- or undercooking due to temperature gradients, whereas sous vide cooking is time-consuming due to fixed water bath temperatures.
Innovation Solution
A predictive cooking system that uses a cooking device with a heater, temperature sensor, and processor to control fluid temperature based on food item characteristics, desired temperature, and acceptable temperature gradient, optimizing heating time by adjusting set point temperatures and operation periods to ensure precise cooking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If traditional cooking methods (oven or stovetop) are used, then cooking speed is faster, but temperature control precision deteriorates causing over- or undercooking
Solution Approach 1:
The system continuously monitors fluid temperature and power delivery, using this feedback to dynamically adjust heating parameters. The processor calculates actual food temperature based on fluid temperature measurements and power delivered to the heater, then adjusts the heating cycle to maintain the desired temperature gradient, resolving the contradiction between fast cooking and precise temperature control.
Solution Approach 2:
The system transitions from static temperature control to dynamic control by continuously adjusting the heater operation period and set point temperature based on real-time measurements. The set point temperature is dynamically modified during cooking to optimize both speed and precision, allowing the system to adapt to changing thermal conditions.
2Manufacturing precision
If fixed water bath temperature is used in traditional sous vide, then temperature control precision is improved, but cooking time increases
Solution Approach 1:
The system dynamically adjusts the set point temperature and heater operation period during cooking rather than maintaining a fixed temperature. This allows the fluid temperature to be temporarily higher than the final desired temperature, accelerating heat transfer to the food core, then cooling down to achieve the target temperature, thereby reducing total cooking time while maintaining precision.
Solution Approach 2:
The system changes the temperature parameter dynamically during the cooking process. The set point temperature is adjusted based on the thermal characteristics of the food and the desired temperature gradient, allowing optimal heat transfer rates at different stages of cooking, thus reducing overall cooking time while maintaining temperature control precision.
3Speed
If higher fluid temperature is used to reduce cooking time, then cooking speed is improved, but temperature gradient control deteriorates
Solution Approach 1:
The system dynamically adjusts the set point temperature during cooking to optimize the temperature gradient. Initially, a higher set point temperature is used to accelerate heating of the food core. As cooking progresses, the set point is reduced to maintain the desired temperature gradient and prevent overheating the food surface, thus achieving both fast cooking and gradient control.
Solution Approach 2:
The heater operates in periodic cycles with varying duty cycles. The heater is activated at high power for periods to rapidly increase fluid temperature and cooking speed, then deactivated or operated at lower power to allow cooling and maintain temperature gradient control. This periodic action allows the system to achieve both objectives.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Significantly reduces cooking time by allowing hotter water to heat food faster and controlling temperature gradients, achieving evenly cooked food faster than traditional sous vide methods while maintaining food quality.
Implementation Method 1
controlling a heater for heating the fluid according to heater control information related to a set point temperature and a heater operation period
Implementation Method 2
obtaining a temperature measurement
Data Source
AI summary
Predictive cooking systems and methods. A representative system can include a cooking device submergible in a container of fluid and a memory device storing instructions for causing a processor to receive information and determine heater set point temperature and on time. The processor can receive information indicative of one or more characteristics of a food item to be cooked in the fluid and a desired food temperature. The processor can perform a control process that can include sending instructions for controlling a heater, obtaining a temperature measurement of the fluid from a temperature sensor, determining a measurement of power delivered to the heater, determining constants related to corresponding physical characteristics of the fluid and/or the container based on at least one of the temperature measurement and the measurement of power, and determining a food temperature of the food item.