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Title: General predictive techniques for two-phase heat transfer.
Author: Shah, Mirza Mohammed.
ISNI:       0000 0001 3395 751X
Awarding Body: University of Sunderland
Current Institution: University of Sunderland
Date of Award: 2000
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This thesis provides a commentary on the author's publications submitted herewith for the PhD degree. These publications present twelve general. predictive techniques for two-phase heat transfer developed by the author. These include those for: (a) Heat transfer during film condensation in tubes and annuli, boiling of saturated and subcooled fluids in tubes and annuli, film boiling in tubes, flow of twocomponent gas-liquid mixtures in tubes, and pool boiling of liquid metals. (b) Critical heat flux during boiling in tubes and annuli, and pool boiling of liquid metals. (c) Heat transfer to surfaces in fluidized beds. (d) Rate of evaporation from water pools The thesis consists of fourteen chapters. The first is the "Introduction. " Each of the following chapters (except the last) presents one predictive technique and has the following arrangement. The practical significance of the work is first pointed out. The predictive technique is then briefly presented. It is followed by the "Discussion" section in which the topics discussed include verification by others, recommendations in reference books, other correlations and how they compare in merit with the author's predictive technique. The chapter ends with the "Conclusion" section in which conclusion is drawn from the evidence presented in the rest of the chapter regarding the contribution of the author's work. In the final chapter, the conclusions made in the earlier chapters regarding the contributions of the author's publications are summarized. It is shown in this thesis that each of these predictive techniques is either the best or among the best available as shown by the author's own as well as other researchers' data analyses, that most of these are recommended in design reference books and are in use in practical designs and analyses as well as in research. The publications submitted for PhD which presented these predictive techniques are therefore significant, coherent, and original contributions to knowledge
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available
Keywords: Fluids