Research and application of intelligent control dual-power enhanced heat dissipation technology in microwave ovens
SUN Dongguang
HAN Zhaohua
ZHENG Jian
WANG Youwei
ZHENG Lei
ZHANG Wei
Abstract:Modern micro wave ovens,in addition to basic micro wave heating,integrate multiple cooking functions such as steaming,boiling,baking and air frying,aiming to provide users with a more convenient and diverse cooking experience.During the operation of a microwave system,the magnetron generates a large amount of heat by converting electrical energy into magnetic energy.In addition,the internal electronic components(such as amplifiers)consume electrical energy and convert it into thermal energy when working.Excessively high temperatures may lead to a decline in equipment performance or even damage.Therefore,effective heat dissipation is crucial for ensuring the normal operation of microwave equipment and has become one of the important demands in the industry.To this end,by leveraging artificial intelligence solutions,an innovative intelligent control dual-power enhanced heat dissipation technology was designed.The heat dissipation system was optimized from a single air duct to a dual air duct,and a digital model of microwave working condition temperature rise was established.CAE simulation calculations were carried out to continuously verify and optimize,achieving a dynamic balance among the energy input to the microwave oven,the food absorption capacity,and the heat dissipated from the residual heat,effectively improving the working condition temperature rise.The temperature has been reduced from the original 78.49 ℃ to 68.50 ℃,improving the quality of cooked food and increasing the cooking efficiency by 21.9%.This ensures that the temperature during the combined cooking operation of the microwave oven is controlled within a reasonable range,thereby extending its service life and ensuring usage safety.
Keywords:Micro wave ovenIntelligent control dual powerEnhance heat dissipationDigitizationResearch and application
Publication Date:2025-12-09
Online Publishing Date:2026-01-06(First online date of this platform, not the publication date of the document)
Pages:7( 373-379 )
