An experimental study on a novel defrosting method for cold room

Abdulla, Mahade Omran Ali; Deniz, Emrah; Karagöz, Mustafa; Gürüf, Gürşah

doi:10.1016/j.applthermaleng.2021.116573

Cited by 10 publications

(6 citation statements)

References 27 publications

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“…Traditional common deicing/frosting methods include compressor shutdown, using hot gas, hot water or electric heating, and solvent defrosting, which have low efficiency and high energy consumption and can easily cause mechanical damage. 9 Besides, frequent defrosting can cause temperature fluctuations, 10 leading to negative effects on food quality.…”

Section: Introductionmentioning

confidence: 99%

Infusing Silicone and Camellia Seed Oils into Micro-/Nanostructures for Developing Novel Anti-Icing/Frosting Surfaces for Food Freezing Applications

Zhu

Liang

Sun

2023

ACS Appl. Mater. Interfaces

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Undesired ice/frost formation and accretion often occur on food freezing facility surfaces, lowering freezing efficiency. In the current study, two slippery liquid-infused porous surfaces (SLIPS) were fabricated by spraying hexadecyltrimethoxysilane (HDTMS) and stearic acid (SA)-modified SiO 2 nanoparticles (NPs) suspensions, separately onto aluminum (Al) substrates coated with epoxy resin to obtain two superhydrophobic surfaces (SHS), and then infusing food-safe silicone and camellia seed oils into the SHS, respectively, achieving anti-frosting/icing performance. In comparison with bare Al, SLIPS not only exhibited excellent frost resistance and defrost properties but also showed ice adhesion strength much lower than that of SHS. In addition, pork and potato were frozen on SLIPS, showing an extremely low adhesion strength of <10 kPa, and after 10 icing/deicing cycles, the final ice adhesion strength of 29.07 kPa was still much lower than that of SHS (112.13 kPa). Therefore, the SLIPS showed great potential for developing into robust anti-icing/frosting materials for the freezing industry.

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Section: Introductionmentioning

confidence: 99%

Infusing Silicone and Camellia Seed Oils into Micro-/Nanostructures for Developing Novel Anti-Icing/Frosting Surfaces for Food Freezing Applications

Zhu

Liang

Sun

2023

ACS Appl. Mater. Interfaces

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“…The current defrosting methods mainly include reverse cycle defrosting method, hot gas bypass defrosting method, and electric auxiliary thermal defrosting [ 22 ]. Qu et al (2017) studied the suction and discharge pressures of the compressor during the reverse cycle defrosting.…”

Section: Introductionmentioning

confidence: 99%

Analysis on frosting of heat exchanger and numerical simulation of heat transfer characteristics using BP neural network learning algorithm

Yu¹,

Luo²,

Chu

2021

PLoS ONE

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The study is aimed at the frosting problem of the air source heat pump in the low temperature and high humidity environment, which reduces the service life of the system. First, the frosting characteristics at the evaporator side of the air source heat pump system are analyzed. Then, a new defrost technology is proposed, and dimensional theory and neural network are combined to predict the transfer performance of the new system. Finally, an adaptive network control algorithm is proposed to predict the frosting amount. This algorithm optimizes the traditional neural network algorithm control process, and it is more flexible, objective, and reliable in the selection of the hidden layer, the acquisition of the optimal function, and the selection of the corresponding learning rate. Through model performance, regression analysis, and heat transfer characteristics simulation, the effectiveness of this method is further confirmed. It is found that, the new air source heat pump defrost system can provide auxiliary heat, effectively regulating the temperature and humidity. The mean square error is 0.019827, and the heat pump can operate efficiently under frosting conditions. The defrost system is easy to operate, and facilitates manufactures designing for different regions under different conditions. This research provides reference for energy conservation, emission reduction, and sustainable economic development.

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“…Many scholars have studied the relationship between the network community of venture capital institutions and the investment portfolio. Among them, Abdulla et al (2021) implemented a structural equation model to explain the complex relationship between the social network and corporate performance by introducing the intermediary roles of trust, sales ability, and pricing ability. Then, using the empirical data of 380 SMEs in Indonesia, they found that the use of social media in the management process did not affect the growing corporate performance.…”

Section: Research Hypotheses and Datamentioning

confidence: 99%

“…Then, using the empirical data of 380 SMEs in Indonesia, they found that the use of social media in the management process did not affect the growing corporate performance. Trusted social networks enable enterprises to obtain pricing and sales capabilities, which have a positive impact on corporate performance [18]. Tatiana and Magdalena (2020) conducted nine semi-structured interviews in order to examine the role of relationships in creating and maintaining portfolios by using the four stages of the relationship marketing process model.…”

Section: Research Hypotheses and Datamentioning

confidence: 99%

The Internal Connection Analysis of Information Sharing and Investment Performance in the Venture Capital Network Community

Feng

Sun

Zhong

et al. 2021

IJERPH

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In order to explore the internal connection between information sharing and investment performance in the venture capital network community, this study took environmental-governance start-ups as the research object and used the 2009–2020 environmental-social enterprise start-up venture capital investment events as a data sample. The successful exit rate of the venture capital portfolio and the successful listing rate of investment ventures were used as the measurement criteria. Combined with regression analysis, the relationship between information sharing and investment performance in the venture capital network community was analyzed in detail. Research shows that there are differences between the ways of information sharing in the venture capital network communities. In the regression results, all coefficients are less than 0.01. There is a positive correlation between information sharing and investment performance in the venture capital network community. With the increase in enterprise characteristic variables, the degree of enterprise risk information sharing is getting higher and higher. This ultimately leads to more and more frequent corporate investment performance and a higher possibility of acquisition. Among them, the degree of information sharing in the venture capital network community is relatively high, and venture capital companies that are supported by corporate venture capital institutions will benefit even more from listed capital. Not only was the analysis of the relationship between finance and investment in the venture capital network community pointed out in this research, but also the investment development of entrepreneurial enterprises was also provided with feasible suggestions.

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An experimental study on a novel defrosting method for cold room

Cited by 10 publications

References 27 publications

Infusing Silicone and Camellia Seed Oils into Micro-/Nanostructures for Developing Novel Anti-Icing/Frosting Surfaces for Food Freezing Applications

Infusing Silicone and Camellia Seed Oils into Micro-/Nanostructures for Developing Novel Anti-Icing/Frosting Surfaces for Food Freezing Applications

Analysis on frosting of heat exchanger and numerical simulation of heat transfer characteristics using BP neural network learning algorithm

The Internal Connection Analysis of Information Sharing and Investment Performance in the Venture Capital Network Community

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