International Journal of Science, Engineering and TechnologyAuthors: Harshal Mahajan, Manish P. Aachliya, Achal R. Gole
Abstract: This paper introduces the design and validation of a Smart Dining Table utilizing an Arduino Nano microcontroller and Low Induction Heating (LIH) technology to automatically keep food at its original serving temperature, solving inefficiencies in typical temperature preservation methods. The classic methods tend to involve manual input of temperature, resulting in human errors and power wastage. Conversely, this work presents a new closed-loop temperature control system through LM-series analog temperature sensors for sensing and maintaining the temperature at which food is first served without the intervention of the user. The system structure combines Arduino Nano with LM35 temperature sensors, low-power LIH coils, and a touch interface. After placing food, the LM35 sensor immediately detects its surface temperature, which is set by Arduino Nano as the target reference. The PID control algorithm constantly modulates the induction coils' output to keep the measured temperature at ±2°C, minimizing variance from the original serving condition. LIH coils, which have been designed to work optimally in low frequencies, achieve 89% thermal efficiency with localized heating. Experimental tests confirmed the system to maintain food temperatures with 95% accuracy during 45-minute periods, having a 35% energy reduction compared to standard warmers. Users tested the system with a satisfaction rate of 95%, highlighting the system's smooth automation and consistency. This work makes a contribution to smart appliance design by illustrating an energy-efficient, autonomous, and low-cost solution that prioritizes user convenience. Potential uses include residential kitchens, healthcare settings, and smart restaurants. Future directions will investigate multi-sensor fusion for heterogeneous food loads and edge-computing optimization.
DOI: https://doi.org/10.5281/zenodo.17974700
