Abstract
Nanotechnology is stated as the utility of nanomaterials for human profit. Nanomaterials contain distinct attributes because of their physical as well as chemical features at the nanoscale. Nanotechnology has a vast domain of usages and has been utilized in providing new products in the industrial section, electronic as well as energy. In this paper, the properties of fluids with nanoparticles are reviewed. Furthermore, the developed models with nanoparticle consortium are studied.
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Razvarz S, Jafari R, Yu, W, Khalili A (2017) PSO and NN modeling for photocatalytic removal of pollution in wastewater, vol 20, pp 1–6
Jafari R, Yu W (2015) Artificial neural network approach for solving strongly degenerate parabolic and burgers-fisher equations. In: 12th international conference on electrical engineering, computing science and automatic control
Jafari R, Razvarz S, Gegov A (2018) A new computational method for solving fully fuzzy nonlinear systems. In: Computational collective intelligence, ICCCI 2018. LNCS, vol 11055. Springer, Cham, pp 503–512
Razvarz S, Jafari R (2017) ICA and ANN modeling for photocatalytic removal of pollution in wastewater. Math Comput Appl 22:38–48
Razvarz S, Jafari R, Gegov A, Yu W, Paul, S (2018) Neural network approach to solving fully fuzzy nonlinear systems. In: Fuzzy modeling and control methods application and research. Nova science Publisher Inc., NewYork, pp 45–68. ISBN 978-1-53613-415-5
Razvarz S, Jafari R (2017) Intelligent techniques for photocatalytic removal of pollution in wastewater. J Electr Eng 5:321–328
Jafari R, Razvarz S (2017) Solution of fuzzy differential equations using fuzzy Sumudu transforms. In: IEEE international conference on innovations in intelligent systems and applications, pp 84–89
Jafari R, Razvarz S, Gegov A, Paul S (2018) Fuzzy modeling for uncertain nonlinear systems using fuzzy equations and Z-numbers. In: Advances in computational intelligence systems: contributions presented at the 18th UK workshop on computational intelligence, advances in intelligent systems and computing, 5–7 September 2018, Nottingham, UK, vol 840. Springer, Cham, pp 66–107
Jafari R, Razvarz S (2018) Solution of fuzzy differential equations using fuzzy Sumudu transforms. Math Comput Appl 23:1–15
Jafari R, Razvarz S, Gegov A (2019) Solving differential equations with Z-numbers by utilizing fuzzy Sumudu transform. In: Arai K, Kapoor S, Bhatia R (eds) Intelligent systems and applications, IntelliSys 2018, vol 869. Advances in intelligent systems and computing. Springer, Cham, pp 1125–1138
Yu W, Jafari R (2019) Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number. In: IEEE Press Series on Systems Science and Engineering. Wiley-IEEE Press, Wiley, Hoboken
Razvarz S, Jafari R (2018) Experimental study of Al2O3 nanofluids on the thermal efficiency of curved heat pipe at different tilt angle. J Nanomater 2018:1–7
Razvarz S, Vargas-Jarillo C, Jafari R (2019) Pipeline monitoring architecture based on observability and controllability analysis. In: IEEE international conference on mechatronics (ICM), vol 1, pp 420–423
Razvarz S, Vargas-Jarillo C, Jafari R, Gegov A (2019) Flow control of fluid in pipelines using PID controller. IEEE Access 7:25673–25680
Razvarz S, Jafari R (2016) Experimental study of Al2O3 nanofluids on the thermal efficiency of curved heat pipe at different tilt angle. In: 2nd international congress on technology engineering and science (ICONTES), Malaysia
Jafari R, Yu W, Li X (2016) Solving fuzzy differential equation with Bernstein neural networks. In: IEEE international conference on systems, man, and cybernetics, Budapest, Hungary, pp 1245–1250
Jafari R, Yu W (2017) Uncertain nonlinear system control with fuzzy differential equations and Z-numbers. In: 18th IEEE international conference on industrial technology, canada, vol 1, pp 890–895
Jafarian A, Measoomynia S, Jafari R (2012) Solving fuzzy equations using neural nets with a new learning algorithm. J Adv Comput Res 3:33–45
Jafari R, Razvarz S, Gegov, A (2019) Neural network approach to solving fuzzy nonlinear equations using Z-numbers. IEEE Trans Fuzzy Syst 1:1-12
Sekhon B (2014) Nanotechnology in agri-food production: an overview. Nanotechnol Sci Appl 7:31–35
Khan MY, Saroj BK, Roy M, Aziz I (2015) A review—emerging use of nano-based carriers in diagnosis and treatment of cancer novel approaches. Int J Adv Multidiscip Res 2(1):38–54
ISO/TR 27628:2007 (2007) Workplace atmospheres - Ultrafine, nanoparticle and nano-structured aerosols -Inhalation exposure characterization and assessment
Stone V, Nowack B, Baun A, van den Brink N, von der Kammer F (2010) Nanomaterials for environmental studies: classification, reference material issues, and strategies for physico-chemical characterization. Sci Total Environ 408:1745–1754
European Agency for Safety and Health at Work, E-fact, Nanomaterials in maintenance work (2013) occupational risks and prevention
Keshavarz Moraveji M, Razvarz S (2012) Experimental investigation of aluminum oxide nanofluid on heat pipe thermal performance. Int Commun Heat Mass Trans 39(12):1444–1448
ISO/TS 27687:2008(en) (2008) - Nanotechnologies — Terminology and definitions for nano-objects — Nanoparticle, nanofibre and nanoplate
European Commission (2012) Types and uses of nanomaterials, including safety aspects, Brussels
Santos CSC, Gabriel B, Blanchy M, Menes O, García D, Blanco M (2015) Industrial applications of nanoparticles – A prospective overview, materials today, proceedings, vol 2, pp 456 – 465
Park JW (2002) Liposome-based drug delivery in breast cancer treatment. Breast Cancer Res 4(3):95–99
Tavman T, Chirtoc T, Schuchmann HP (2008) Experimental investigation of viscosity and thermal conductivity of suspensions containing nano sized ceramic particles. Arch Mater Sci Eng 34:99–104
Pak BC, Cho YI (1998) Hydrodynamic and heat transfer study of dispersed fluids with submicron metallic oxide particles. Exp Heat Transf 11:151–170
Eastman JA, Choi SUS, Li S, Yu W, Thompson LJ (2001) Anomalously increased effective thermal conductivities of ethylene glycol-based nanofluids containing copper nanoparticles. Appl Phys Lett 78(6):718–720
Choi SUS, Wang X, Xu W (1999) Thermal conductivity of nano-particle-fluidmixture. J Thermophys Heat Transf 13(4):474–480
Choi SUS (1995) Enhancing thermal conductivity of fluids with nano-particles. ASME 231:99–105
Choi SUS (1998) Nanofluid technology: current status and future research. In: Energy, vol 26
American Society of Heating, Refrigerating and Air-Conditioning Engineers (2009): 2009 Ashrae Handbook: fundamentals. ASHRAE, Atlanta
Buongiorno J (2005) Convective transport in nanofluids. J Heat Trans 128:240–250
Nair R, Varghese SH, Nair BG, Maekawa T, Yoshida Y, Kumar DS (2010) Nanoparticulate material delivery to plants. Plant Sci 179(3):154–163
Phan TD, Debeaufort F, Voilley A (2008) Moisture barrier, wetting and mechanical properties of shellac/agar or shellac/cassava starch bilayer bio-membrane for food applications. J Membr Sci 325:277–283
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Razvarz, S., Chavez, L.F.G., Vargas-Jarillo, C. (2020). Nanotechnology Applications in Industry and Heat Transfer. In: Hernandez, E., Keshtkar, S., Valdez, S. (eds) Industrial and Robotic Systems. LASIRS 2019. Mechanisms and Machine Science, vol 86. Springer, Cham. https://doi.org/10.1007/978-3-030-45402-9_1
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DOI: https://doi.org/10.1007/978-3-030-45402-9_1
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