Citations (19)
Keep up to date with the latest research on this topic with citation updates for this article.
Read on this site (8)
Natalya V. Menshutina, Svetlana V. Goncharova-Alves & Alexey V. Matasov. (2020) Intelligent systems for design of drying processes. Drying Technology 38:1-2, pages 147-157.
Read now
Read now
J. Bigda. (2014) CPFD Numerical Study of Impact Dryer Performance. Drying Technology 32:11, pages 1277-1288.
Read now
Read now
T. Kudra, R. Platon & P. Navarri. (2009) Excel-Based Tool to Analyze the Energy Performance of Convective Dryers∗. Drying Technology 27:12, pages 1302-1308.
Read now
Read now
B. N. Cáceres-Huambo & F. C. Menegalli. (2009) Simulation and Optimization of Semicontinuous Industrial Tunnel Dryers for Fruits. Drying Technology 27:3, pages 428-436.
Read now
Read now
Zhen-Xiang Gong & ArunS. Mujumdar. (2008) Software for Design and Analysis of Drying Systems. Drying Technology 26:7, pages 884-894.
Read now
Read now
M. Karoglou, A. Moropoulou, Z.B. Maroulis & M.K. Krokida. (2005) Drying Kinetics of Some Building Materials. Drying Technology 23:1-2, pages 305-315.
Read now
Read now
M.K. KROKIDA & C.T. KIRANOUDIS. (2000) PRODUCT QUALITY MULTI-OBJECTIVE OPTIMIZATION OF FLUIDIZED BED DRYERS. Drying Technology 18:1-2, pages 143-163.
Read now
Read now
C.T. Kiranoudis, Z.B. Maroulis & D. Marinos-Kouris. (1999) PRODUCT QUALITY MULTI-OBJECTIVE DRYER DESIGN. Drying Technology 17:10, pages 2251-2270.
Read now
Read now
Articles from other publishers (11)
C. M. Araújo, A. C. Azevedo & F. A. N. Silva. 2023. Building Pathologies: Experimental Campaigns and Numerical Procedures. Building Pathologies: Experimental Campaigns and Numerical Procedures
57
75
.
Silvia Bravo & Ángel H. Moreno. (2019) Prediction Model Based on Neural Networks for Microwave Drying Process of Amaranth Seeds. Prediction Model Based on Neural Networks for Microwave Drying Process of Amaranth Seeds.
Silvia Bravo & Angel H. Moreno. (2019) A Random Forest Approach for Predicting the Microwave Drying Process of Amaranth Seeds. A Random Forest Approach for Predicting the Microwave Drying Process of Amaranth Seeds.
João M. P. Q. Delgado, António C. Azevedo & Ana S. GuimarãesJoão M. P. Q. Delgado, António C. Azevedo & Ana S. Guimarães. 2019. Drying Kinetics in Building Materials and Components. Drying Kinetics in Building Materials and Components
33
59
.
Nikos Karagiannis, Maria Karoglou, Asterios Bakolas, Magdalini Krokida & Antonia Moropoulou. (2017) Drying kinetics of building materials capillary moisture. Construction and Building Materials 137, pages 441-449.
Crossref
Crossref
A. S. Guimar?es, J. M. P. Q. Delgado, V. P. de Freitas & A. P. Albuquerque. (2016) The Effect of Salt Solutions and Absorption Cycles in the Capillary and Drying Coefficient of Red Brick Samples with Different Joints. Advances in Materials Science and Engineering 2016, pages 1-12.
Crossref
Crossref
Hua Bo He. (2012) Computer Simulation of Drying Process in Tube Rotary Dryer. Applied Mechanics and Materials 201-202, pages 617-620.
Crossref
Crossref
C.T. Kiranoudis & N.C. Markatos. (2000) Pareto design of conveyor-belt dryers. Journal of Food Engineering 46:3, pages 145-155.
Crossref
Crossref
M.K. Krokida & C.T. Kiranoudis. (2000) Pareto design of fluidized bed dryers. Chemical Engineering Journal 79:1, pages 1-12.
Crossref
Crossref
Patrick Perré, Ian W. Turner & Joë Passard. (2004) 2‐D Solution for drying with internal vaporization of anisotropic media. AIChE Journal 45:1, pages 13-26.
Crossref
Crossref
T.A.G. Langrish. (1998) The controllability assessment of flowsheeting options involving parallel-flow dryers. Chemical Engineering Journal 70:3, pages 221-229.
Crossref
Crossref