Cantitate/Preț
Produs

Microchannel Phase Change Transport Phenomena

Autor Sujoy Kumar Saha
en Limba Engleză Paperback – 27 sep 2015
Microchannel Heat transfer is the cooling application of high power density microchips in the CPU system, micropower systems and many other large scale thermal systems requiring effective cooling capacity. This book offers the latest research and recommended models on the microsize cooling system which not only significantly reduces the weight load, but also enhances the capability to remove much greater amount of heat than any of large scale cooling systems.
A detailed reference in microchannel phase change (boiling and condensation) including recommended models and correlations for various requirements such as pressure loss, and heat transfer coefficient.
Researchers, engineers, designers and students will benefit from the collated, state-of-the-art of the research put together in this book and its systematic, addressing all the relevant issues and providing a good reference for solving problems of critical analysis.


  • Up-to-date information will help delineate further research direction in the microchannel heat transfer
  • The latest modeling information and recommendations will help in design method and purpose
Citește tot Restrânge

Preț: 50763 lei

Preț vechi: 55783 lei
-9% Nou

Puncte Express: 761

Preț estimativ în valută:
9714 10187$ 8100£

Carte tipărită la comandă

Livrare economică 31 decembrie 24 - 14 ianuarie 25

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9780128043189
ISBN-10: 0128043180
Pagini: 356
Dimensiuni: 152 x 229 x 20 mm
Greutate: 0.48 kg
Editura: ELSEVIER SCIENCE

Public țintă

Engineers, Researchers, Designers, Students, Could be used as a reference in graduate-level or PhD studies

Cuprins

Introduction
Scale differentiation
Flow pattern with bubble growth
Heat transfer with models
Pressure drop
Instabilities
Onset of nucleate boiling
Void fraction
Liquid film thickness
Critical heat flux
Condensation and boiling enhancement
Convective condensation
Predictive methods
Conclusion