By Evangelos Tsotsas, Arun S. Mujumdar
Chapter 1 accomplished Drying types in line with quantity Averaging: history, program and standpoint (pages 1–55): Prof. Patrick Perree, Dr. Romain Remond and Prof. Ian W. Turner
Chapter 2 Pore?Network versions: a robust software to check Drying on the Pore point and comprehend the impact of constitution on Drying Kinetics (pages 57–102): Thomas Metzger, Prof. Evangelos Tsotsas and Dr. Marc Prat
Chapter three non-stop Thermomechanical versions utilizing Volume?Averaging idea (pages 103–124): Dr. Frederic Couture, Philippe Bernada and Prof. Michel A. Roques
Chapter four non-stop Thermohydromechanical version utilizing the idea of combos (pages 125–154): Prof. Stefan J. Kowalski
Chapter five CFD in Drying know-how – Spray?Dryer Simulation (pages 155–208): Dr. Stefan Blei and Prof. Martin Sommerfeld
Chapter 6 Numerical equipment on inhabitants Balances (pages 209–260): Dr. Jitendra Kumar, Dr. Mirko Peglow, Prof. Gerald Warnecke, Jun. Prof. Stefan Heinrich, Prof. Evangelos Tsotsas, Prof. Lothar Morl, Prof. Mike Hounslow and Dr. Gavin Reynolds
Chapter 7 Process?Systems Simulation instruments (pages 261–305): Ir. Ian C. Kemp
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Content material: bankruptcy 1 finished Drying versions according to quantity Averaging: heritage, program and point of view (pages 1–55): Prof. Patrick Perree, Dr. Romain Remond and Prof. Ian W. TurnerChapter 2 Pore? community versions: a robust software to review Drying on the Pore point and comprehend the impression of constitution on Drying Kinetics (pages 57–102): Thomas Metzger, Prof.
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Extra resources for Modern Drying Technology: Computational Tools at Different Scales, Volume 1
It becomes necessary to know whether the loss in moisture content turns into volume reduction or into an increase of porosity (Perre´ and May, 2001). Coupled heat and vapor transfer occurs across the boundary layer depicted in Fig. 3. The heat ﬂux supplied by the airﬂow is used solely for transforming the liquid water into vapor. During this stage, the temperature at the surface is equal to the wetbulb temperature. Moreover, because no energy transfer occurs within the medium during this period, the product temperature remains at the wet-bulb temperature throughout the thickness.
1 The Control-volume Finite-element (CV-FE) Discretization Procedure The conservation laws (Eq. 18, Eq. 19 and Eq. 20) given above can be cast into the following conservative form @cl þ r Á Jl ¼ 0; l ¼ water; air; energy @t ð1:24Þ Throughout this section we choose to illustrate the CV-FE discretization process only for the water-conservation law where cw ¼ ewrw + egrv + rb and Jw ¼ Àrw Kg k g Kw kw rww À rv rwg À Deff rg rov À Db rrb mw mg (Eq. 18, Eq. 21 and Eq. 22). The procedure is identical for the remaining two conservation laws and a similar exposition results.
For these experiments, small airtight sensors (Fig. , 1993; Perre´ and Martin, 1994). 1 mm diameter allows temperature and pressure to be measured simultaneously and at the same point. Note that the pressure gauge placed outside the test section is at room temperature. In order to prevent condensation into this captor, which would induce local evaporation within the board, the connecting tube was ﬁlled with oil, taking care to ensure an oil/gas interface inside the test chamber. Representative experimental results are depicted in Fig.
Modern Drying Technology: Computational Tools at Different Scales, Volume 1 by Evangelos Tsotsas, Arun S. Mujumdar