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- Title
Cooling Performance Prediction of Particle-Based Radiative Cooling Film Considering Particle Size Distribution.
- Authors
Lim, Jaehyun; Jung, Junbo; Rho, Jinsung; Kim, Joong Bae
- Abstract
Here, we present a novel protocol concept for quantifying the cooling performance of particle-based radiative cooling (PBRC). PBRC, known for its high flexibility and scalability, emerges as a promising method for practical applications. The cooling power, one of the cooling performance indexes, is the typical quantitative performance index, representing its cooling capability at the surface. One of the primary obstacles to predicting cooling power is the difficulty of simulating the non-uniform size and shape of micro-nanoparticles in the PBRC film. The present work aims to develop an accurate protocol for predicting the cooling power of PBRC film using image processing and regression analysis techniques. Specifically, the protocol considers the particle size distribution through circle object detection on SEM images and determines the probability density function based on a chi-square test. To validate the proposed protocol, a PBRC structure with PDMS/Al2O3 micro-nanoparticles is fabricated, and the proposed protocol precisely predicts the measured cooling power with a 7.8% error. Through this validation, the proposed protocol proves its potential and reliability for the design of PBRC.
- Subjects
COOLING; REGRESSION analysis; PROBABILITY density function; CHI-squared test; IMAGE processing; PARTICLE size distribution; HOUGH transforms
- Publication
Micromachines, 2024, Vol 15, Issue 3, p292
- ISSN
2072-666X
- Publication type
Article
- DOI
10.3390/mi15030292