TY - GEN
T1 - Review of Recent Research on the Potential of Cellulose NanoCrystals (CNCs) in Improving Heat Transfer Processes
AU - Aqeel, Ahmad Abdul Kareem Ahmad
AU - Hajjaj, Sami Salama Hussen
AU - Mohamed, Hassan
AU - Gomaa, Mohamed R.
AU - Obeidat, Faten Saeed
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - Cellulose NanoCrystals (CNCs) are materials created by acid degradation of wood fiber, giving them unique qualities, such as low cost, excellent stability, large surface area, advantageous mechanical properties, renewability, and low toxicity. These features make CNCs ideal for the performance of cooling fluids and nanocomposites in thermal cooling systems. This article thoroughly analyzes several studies on CNCs, focusing on four primary areas: their mechanical characteristics, impact on thermal and tribological properties, performance enhancement, and their role in improving heat transfer in radiator coolants. Each section presents relevant studies and key findings. The review provides insights into CNC's mechanical properties, thermal conductivity, viscosity, tribological characteristics, and impact on fluid performance and heat transfer efficiency. According to the findings of earlier studies, CNCs machines have a high tensile strength estimated at 7.5–7.7 GPa and an elastic modulus of 140 GPa. CNC-based nanofluids improve cooling performance by four times viscosity and 11–20% thermal transfer when combined with other nanomaterials. This is great for the efficiency of the thermal system. Utilizing CNCs-based nanofluids is promising because they increase efficiency in solar energy collectors by about 5.8%, reduce wear rate in machinery lubricants by up to 69% compared to base oil, and improve engine operation efficiency in cooling automobile motors by an average of 0.69% when 0.5% of nanocellulose is added to the radiator coolant. CNCs provide a practical and eco-friendly way to improve transportation.
AB - Cellulose NanoCrystals (CNCs) are materials created by acid degradation of wood fiber, giving them unique qualities, such as low cost, excellent stability, large surface area, advantageous mechanical properties, renewability, and low toxicity. These features make CNCs ideal for the performance of cooling fluids and nanocomposites in thermal cooling systems. This article thoroughly analyzes several studies on CNCs, focusing on four primary areas: their mechanical characteristics, impact on thermal and tribological properties, performance enhancement, and their role in improving heat transfer in radiator coolants. Each section presents relevant studies and key findings. The review provides insights into CNC's mechanical properties, thermal conductivity, viscosity, tribological characteristics, and impact on fluid performance and heat transfer efficiency. According to the findings of earlier studies, CNCs machines have a high tensile strength estimated at 7.5–7.7 GPa and an elastic modulus of 140 GPa. CNC-based nanofluids improve cooling performance by four times viscosity and 11–20% thermal transfer when combined with other nanomaterials. This is great for the efficiency of the thermal system. Utilizing CNCs-based nanofluids is promising because they increase efficiency in solar energy collectors by about 5.8%, reduce wear rate in machinery lubricants by up to 69% compared to base oil, and improve engine operation efficiency in cooling automobile motors by an average of 0.69% when 0.5% of nanocellulose is added to the radiator coolant. CNCs provide a practical and eco-friendly way to improve transportation.
KW - biodegradables
KW - Cellulose
KW - Cellulose nanocrystals (CNCs)
KW - Coolants
KW - heat transfer
UR - http://www.scopus.com/inward/record.url?scp=85210806021&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-70684-4_4
DO - 10.1007/978-3-031-70684-4_4
M3 - Conference Proceeding
AN - SCOPUS:85210806021
SN - 9783031706837
T3 - Lecture Notes in Networks and Systems
SP - 43
EP - 52
BT - Robot Intelligence Technology and Applications 8 - Results from the 11th International Conference on Robot Intelligence Technology and Applications
A2 - Abdul Majeed, Anwar P.P.
A2 - Yap, Eng Hwa
A2 - Liu, Pengcheng
A2 - Huang, Xiaowei
A2 - Nguyen, Anh
A2 - Chen, Wei
A2 - Kim, Ue-Hwan
PB - Springer Science and Business Media Deutschland GmbH
T2 - 11th International Conference on Robot Intelligence Technology and Applications, RiTA 2023
Y2 - 6 December 2023 through 8 December 2023
ER -