TY - JOUR
T1 - Frost layer thickness measurement and calculation
T2 - 9th International Conference on Applied Energy, ICAE 2017
AU - Mengjie, Song
AU - Chaobin, Dang
AU - Shengchun, Liu
AU - Zhili, Sun
AU - Ning, Mao
N1 - Publisher Copyright:
© 2017 The Author(s).
PY - 2017
Y1 - 2017
N2 - As a common physical phenomenon, frost deposition is inevitable and always has significant negative effects in many industry fields, such as aerospace, aviation, and HVAC&R, etc. To accurately predict and control a frosting-defrosting cycle, the frost layer thickness should be firstly obtained, which is the most fundamental and important parameter. During the last several decades, frost layer thickness measurement methods and different correlations were widely reported, basing on experimental, semi-empirical, theoretical, and numerical approaches. To provide an overview of the analytical tools for scholars, researchers, product developers, and policy designers, a review and comparative analysis of frost layer thickness studies were conducted. The existing gaps in the frost research are identified and recommendations are made as authors' outlooks in final conclusions.
AB - As a common physical phenomenon, frost deposition is inevitable and always has significant negative effects in many industry fields, such as aerospace, aviation, and HVAC&R, etc. To accurately predict and control a frosting-defrosting cycle, the frost layer thickness should be firstly obtained, which is the most fundamental and important parameter. During the last several decades, frost layer thickness measurement methods and different correlations were widely reported, basing on experimental, semi-empirical, theoretical, and numerical approaches. To provide an overview of the analytical tools for scholars, researchers, product developers, and policy designers, a review and comparative analysis of frost layer thickness studies were conducted. The existing gaps in the frost research are identified and recommendations are made as authors' outlooks in final conclusions.
KW - Correlation
KW - Frost layer thickness
KW - Measurement method
KW - Modelling study
UR - http://www.scopus.com/inward/record.url?scp=85041555367&partnerID=8YFLogxK
U2 - 10.1016/j.egypro.2017.12.281
DO - 10.1016/j.egypro.2017.12.281
M3 - Conference article
AN - SCOPUS:85041555367
SN - 1876-6102
VL - 142
SP - 3812
EP - 3819
JO - Energy Procedia
JF - Energy Procedia
Y2 - 21 August 2017 through 24 August 2017
ER -