Microwave Cooking Apparatus Dynamic Frequency Control
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Solution Overview
Problem
Existing microwave cooking apparatuses lack efficient control over microwave frequency and power distribution, leading to uneven heating and prolonged cooking times, especially when initial scan frequencies do not meet threshold heating efficiency values.
Innovation Solution
A microwave cooking apparatus equipped with a controller that calculates heating efficiency for various microwave frequencies and adjusts heating time and mode based on reflected microwaves, allowing for uniform power distribution and optimized cooking times by selecting frequencies with high efficiency and excluding those with low efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If microwave heating is performed using conventional fixed-frequency microwaves, then the heating process is simple, but the heating uniformity is poor and energy efficiency is low
Solution Approach 1:
The patent implements dynamic frequency selection by scanning multiple microwave frequencies (e.g., 2400-2600 MHz) and adaptively selecting the optimal frequency based on real-time heating efficiency measurements. The system dynamically adjusts operating parameters including frequency, power level, and heating time to optimize heating uniformity and energy efficiency
Solution Approach 2:
The system changes multiple operating parameters simultaneously including microwave frequency (scanning range 2400-2600 MHz), power level (adjusted based on heating efficiency), and heating time (optimized for each frequency). This multi-parameter optimization enables improved heating uniformity while maintaining manageable system complexity through integrated control
2Use of energy by moving object
If microwave heating is performed without frequency optimization, then the operation is simple, but energy consumption is high and heating efficiency is low
Solution Approach 1:
The system performs preliminary frequency scanning and heating efficiency measurement before the actual heating process. By pre-identifying the optimal frequency and adjusting power/time parameters in advance, the system avoids energy waste during heating and reduces overall processing time despite the initial scan requirement
Solution Approach 2:
The system measures heating efficiency at each scanned frequency using temperature sensors or microwave reflection detection, then uses this feedback to select the optimal frequency and adjust operating parameters. This closed-loop control ensures maximum energy efficiency by operating at the most efficient frequency while minimizing unnecessary heating time
3Manufacturing precision
If the heating time is not adjusted according to heating efficiency, then the control is simple, but the power transmission uniformity is poor
Solution Approach 1:
The system applies different heating time durations for different microwave frequencies based on their individual heating efficiencies. High-efficiency frequencies receive shorter heating times while low-efficiency frequencies receive longer heating times, ensuring uniform power transmission to the food regardless of frequency characteristics
Solution Approach 2:
The heating time is dynamically adjusted based on the measured heating efficiency of each frequency. The control system automatically optimizes the heating duration for each frequency band, transforming a static heating process into a dynamic, adaptive process that achieves uniform power distribution
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
This solution enables uniform heating of objects inside the cavity by adjusting heating times and modes according to calculated efficiencies, reducing overall cooking time and maintaining constant power without additional control devices, while effectively shortening scan times when initial frequencies do not meet threshold values.
Implementation Method 1
a microwave generator which generates a plurality of microwaves to heat an object inside a cavity
Implementation Method 2
heats food through frictional heat generated by vibrating the molecules composed of the food by two billions and five million times per second after irradiating the food with microwaves generated from the magnetron
Implementation Method 3
calculates heating efficiency with respect to each of the plurality of microwaves based on the microwaves reflected from the inside of the cavity among the outputted microwaves
Data Source
AI summary
A cooking apparatus using microwaves may include a microwave generator that generates and outputs a plurality of microwaves to heat an object in a cavity, and a controller that calculates heating efficiency of each of the plurality of microwaves based on the microwaves reflected from the cavity, and then sets heating time of each of the microwaves during a heating period of time according to the calculated heating efficiency.