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.


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    Titel :

    Review of Recent Research on the Potential of Cellulose NanoCrystals (CNCs) in Improving Heat Transfer Processes


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Abdul Majeed, Anwar P.P. (Herausgeber:in) / Yap, Eng Hwa (Herausgeber:in) / Liu, Pengcheng (Herausgeber:in) / Huang, Xiaowei (Herausgeber:in) / Nguyen, Anh (Herausgeber:in) / Chen, Wei (Herausgeber:in) / Kim, Ue-Hwan (Herausgeber:in) / Aqeel, Ahmad Abdul Kareem Ahmad (Autor:in) / Hajjaj, Sami Salama Hussen (Autor:in) / Mohamed, Hassan (Autor:in)

    Kongress:

    International Conference on Robot Intelligence Technology and Applications ; 2023 ; Taicang December 06, 2023 - December 08, 2023



    Erscheinungsdatum :

    22.11.2024


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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