Research
Research
Early detection system for thermal runaway in underground parking lots using gas pre-concentration technology
Thermal runaway in EVs poses serious risks, especially in enclosed spaces. This study develops a system to detect precursor gases before thermal runaway occurs.
Lightweight gases released in the early stages are captured and concentrated using a preconcentrator, separated in a micro-column, and analyzed by gas sensors. This multi-step approach enables early intervention, preventing escalation.
Laser-induced nanoporous rGO from SU-8 for low-cost, high-performance chemiresistive gas sensing of NO2 and H2.
SU-8, an epoxy-based negative photoresist, is transformed into nanoporous reduced graphene oxide (rGO) through CO₂ laser irradiation, creating a conductive and highly porous sensing material.
rGO-based sensor demonstrates exceptional sensitivity, detecting NO₂ and H₂ with high selectivity through SnO and Pd functionalization.
technology for complex volatile organic compound(VOC) mixture analyses in real time air monitoring, point-of-care biomedical diagnostics, homeland security, and worker exposure assessment
The micro-GC system consists of fluidically interconnected subsystems: a preconcentrator/injector, a separation column, adetector, and a pump. These subsystems are microfabricated using MEMS technology.
Optimized performance of seating surface of high-performance vehicle based on human body segmentation
The measured mechanical properties are applied to the high performance vehicle seat simulation to analyze the body pressure distribution and to present criteria for seating surface segmentation. Based on the segme-ntalized criteria, we develop a seat sensor system that can measure the body pressure in real time and experimentally explore the pressure dis-tribution on a seat due to occupants.
The development of 1-D lumped transient model of PEMFC to predict lifespan over dynamic driving cycle
PEMFC is one of the most important sources of eco-friendly automotive energy, and its lifespan is the most important factor in popularizing eco-friendly cars. The lifetime of PEMFC is affected by changes in int-ernal stress depending on the operation conditions.
In this study, a numerical analysis model of the PEMFC transient pro-cess was developed using the Lumped method. The developed num-erical analysis model can simultaneously identify changes in internal stress in real time as the operation conditions change, and can perform calculations in a fast time compared to the 3D commercial program. The developed transitional numerical analysis model is expected to help with PEMFC life study.
Smart chair with seat cushion and rubber support hydraulic system
The pressure sensor embedded in the seat recognizes the deviation if the pressure of a specific region is different from others. The chair will attempt to correct the bad posture using actuators also embedded in the chair until the pressure value returns to its original state.
The control section can be used to switch to the automatic reclining mode, and the status of the current posture can be monitored in real time through a smart mirror display. You can also receive detailed feedback on your posture using a smartphone application.
Medical chilling device
A device for keeping the temperature of the hair follicle constant during hair transplant procedure by applying a medical chilling device system using thermoelectric element. Use thermocouple sensor and PID controller to check temperature in real time and maintain target temperature using TEC thermoelectric element through continuous feedback .
A study on bowing effect of the mechanical properties of BSF layer in ultra-thin solar cells
With the recent rise in the price of silicon raw materials, much atten-tion has been paid to ultra-thin silicon solar cells. But the biggest problem in the production of ultra-thin silicon solar cells is the low yield. This is known to be due to different thermal expansion rates between the aluminium face and silicon used as Back Contact. Differences in thermal expansion rates cause bending during the manufacturing process through heating and cooling. This bending phenomenon has a great effect on the yield stress and elasticity coefficient of electrodes used in solar cells. However, no research has been conducted on BSF layers that are formed between silicon and aluminum yet.
The purpose of this study was to predict the bending phenomenon according to the thickness and mechanical material value of the BSF layer mixed with silicon and aluminum.