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Pitarch J, Vilas C, de Prada C, Palacín C, Alonso A. Optimal operation of thermal processing of canned tuna under product variability. J FOOD ENG 2021. [DOI: 10.1016/j.jfoodeng.2021.110594] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Alonso A, Pitarch J, Antelo L, Vilas C. Event-based dynamic optimization for food thermal processing: High-quality food production under raw material variability. FOOD AND BIOPRODUCTS PROCESSING 2021. [DOI: 10.1016/j.fbp.2021.02.013] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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An Investigation on the Forced Convection of Al2O3-water Nanofluid Laminar Flow in a Microchannel Under Interval Uncertainties. APPLIED SCIENCES-BASEL 2019. [DOI: 10.3390/app9030432] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Nanofluids are regarded as an effective cooling medium with tremendous potential in heat transfer enhancement. In reality, nanofluids in microchannels are at the mercy of uncertainties unavoidably due to manufacturing error, dispersion of physical properties, and inconstant operating conditions. To obtain a deeper understanding of forced convection of nanofluids in microchannels, uncertainties are suggested to be considered. This paper studies numerically the uncertain forced convection of Al2O3-water nanofluid laminar flow in a grooved microchannel. Uncertainties in material properties and geometrical parameter are considered. The uncertainties are represented by interval variables. By employing Chebyshev polynomial approximation, interval method (IM) is presented to estimate the uncertain thermal performance and flow behavior of the forced convection problem. The validation of the accuracy and effectiveness of IM are demonstrated by a comparison with the scanning method (SM). The variation of temperature, velocity, and Nusselt number are obtained under different interval uncertainties. The results show that the uncertainties have remarkable influences on the simulated thermal performance and flow behavior.
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Granular approximation of solutions of partial differential equations with fuzzy parameter. GRANULAR COMPUTING 2017. [DOI: 10.1007/s41066-017-0053-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Datta A. Toward computer-aided food engineering: Mechanistic frameworks for evolution of product, quality and safety during processing. J FOOD ENG 2016. [DOI: 10.1016/j.jfoodeng.2015.10.010] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Ho QT, Rogge S, Verboven P, Verlinden BE, Nicolaï BM. Stochastic modelling for virtual engineering of controlled atmosphere storage of fruit. J FOOD ENG 2016. [DOI: 10.1016/j.jfoodeng.2015.07.003] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Chakraverty S, Nayak S. Non probabilistic solution of uncertain neutron diffusion equation for imprecisely defined homogeneous bare reactor. ANN NUCL ENERGY 2013. [DOI: 10.1016/j.anucene.2013.06.009] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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