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    Drying Technology

    Drying Technology

    JournalISSN 0737-3937eISSN 1532-2300中科院 工程技术 3区

    年发文量

    研究主题

    论文(6580)

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    1Taguchi-Grey Relational Optimization of Spray Drying Conditions for Production of Galactooligosaccharides Rich Paneer Whey Powder
    Subodh Borkar,Sathish Kumar M.H,Manoj Kumar C.T,Laxmana Naik N,F. Magdaline Eljeeva Emerald,Priyanka Singh Rao
    2026
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    2Advances in Hybrid Solar–infrared Drying for Food Processing: Comparative Design, Energy Performance, and Quality Evaluation
    S. Murali,D.S. Aniesrani Delfiya, K.C. Neethu, P.V. Alfiya, G. Jeevarathinam, Bogala Madhu,Zhongli Pan
    2026
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    3Artificial Intelligence and Machine Learning Applications in Drying Systems: A Comprehensive Review
    Ali Etem Gürel,Gökhan Yıldız,Hüseyin Bakır
    2026
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    4Effect of Density and Drying Methods on the Spatial Variation of Moisture in Eucalyptus Sp. Wood Estimated by NIR Spectroscopy
    Clinton Horacio Alfredo Madeira,Dayane Targino de Medeiros,Adriano Reis Prazeres Mascarenhas, Evelize Aparecida Amaral Shashiki,Paulo Ricardo Gherardi Hein

    Portable near-infrared (NIR) spectroscopy enabled the nondestructive estimation of internal moisture gradients in Eucalyptus sp. wood subjected to natural and kiln drying. Freshly cut wood was processed into beams, and samples were collected radially, from the heartwood to the sapwood. NIR spectra were obtained using a portable spectrometer, while moisture content was determined gravimetrically at levels of approximately 40%, 30%, and 20%. Partial least squares regression (PLS-R) models were developed to predict the moisture distribution in the wood. The models successfully detected the spatial variation of moisture in the radial surfaces, revealing persistent internal moisture gradients in both drying methods. Wood density strongly influenced prediction performance; denser samples showed greater agreement between NIR estimates and laboratory measurements. The results demonstrate that portable NIR spectroscopy is a promising tool for the rapid, nondestructive monitoring of internal moisture distribution during wood drying, with potential applications in process control and quality assessment.

    2026
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    5Supraparticle Formation from Binary Mixtures of Nanosuspensions Via Superheated Steam Drying
    David Herbert Panduro Vela, Maria Popp,Andreas Buck

    In this study, the effect of binary mixtures of colloidal nanosilica suspensions on the supraparticle formation in superheated steam drying at 300 degrees C is investigated. It is shown that the single droplet drying kinetics and the final supraparticle morphology can be modified by the addition of smaller nanoparticles into a suspension of larger nanoparticles. It was found that the presence of smaller nanoparticles slows down the evaporation of single droplets, delays crust formation, and produces smaller supraparticles. Comparison of the average supraparticle porosity of the bidisperse structures with the porosity data of corresponding monodisperse systems shows a general decrease in porosity. Analysis of the SEM images reveals that at a volume mixing ratio of 25 vol% of small nanoparticles, stable supraparticles are obtained for all initial solids concentration, and at high initial solids concentrations (30 wt%) stable supraparticle were formed at all mixing ratios.

    2026
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    高被引作者

    作者引用发文
    Arun S Mujumdar15739515
    Min Zhang7472184
    Bhesh Bhandari404750
    Zacharias B. Maroulis370841
    Vijaya Raghavan313070
    Haydar Kucuk25472
    Adnan Midilli25472
    Magdalini Krokida244827
    Xiaodong Chen244877
    Hong-Wei Xiao241168

    高产作者

    作者引用发文
    Arun S Mujumdar15739515
    Min Zhang7472184
    Xiaodong Chen244877
    Timothy Langrish209071
    Vijaya Raghavan313070
    Hong-Wei Xiao241168
    Sakamon Devahastin148958
    Tadeusz Kudra126753
    Evangelos Tsotsas138152
    Bhesh Bhandari404750

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