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E. Hahne

Bio: E. Hahne is an academic researcher from University of Stuttgart. The author has contributed to research in topics: Heat transfer & Heat transfer coefficient. The author has an hindex of 10, co-authored 13 publications receiving 511 citations.

Papers
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Book
01 Jan 1969

110 citations

Book
01 Jan 1977

97 citations

Journal ArticleDOI
TL;DR: In this article, a simple model was proposed to calculate the effective thermal conductivity of the zeolite powder with an accuracy of about ±30% using the transient hot-wire method.

78 citations

Journal ArticleDOI
TL;DR: In this paper, the authors present angegebenen rund 50 Formfaktoren Grundlage einer Vielzahl von geometrischen Anordnungen, denen skalare potentialfelder zugrundeliegen.

64 citations

Journal ArticleDOI
TL;DR: In this article, the authors used finned tubes with 19 and 26 fins per inch (fpi) to investigate the pool boiling heat transfer of R11 on single tubes and twin tube arrangements.

52 citations


Cited by
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Book
01 Jan 1981

2,237 citations

Journal ArticleDOI
TL;DR: Turbulence transport equations, describing the dynamics of transient flow of an incompressible fluid in arbitrary geometry, have been derived in such a manner as to incorporate the principles of invariance (tensor and Galilean) and universality as discussed by the authors.
Abstract: Turbulence transport equations, describing the dynamics of transient flow of an incompressible fluid in arbitrary geometry, have been derived in such a manner as to incorporate the principles of invariance (tensor and Galilean) and universality. The equations are described in detail and their applicability is demonstrated by comparison of solutions with experiments on turbulence distortion and on the turbulence in the flow between flat plates.

1,265 citations

Journal ArticleDOI
TL;DR: In this article, the authors present recent developments and state-of-the-art for transcritical CO2 cycle technology in various refrigeration, air-conditioning and heat pump applications, including discussion of properties and characteristics of CO2, cycle fundamentals, methods of high-side pressure control, thermodynamic losses, cycle modifications, component/system design, safety factors, and promising application areas.

656 citations

Book ChapterDOI
M.G. Cooper1
TL;DR: In this article, the authors present the experimental data with no particular theory, to search for significant effects of physical parameters, finding a reason for the fact that they are often numerically similar, despite using very different properties that leads to the improved method of analysis.
Abstract: Publisher Summary The chapter presents the experimental data with no particular theory, to search for significant effects of physical parameters. The present method gains power, scope, and speed by avoiding redundancies among the fluid properties, which otherwise lead to intolerable and unhelpful complexity of analysis and to a confusing multiplicity of correlations that look different but are often numerically rather similar. The chapter examines existing correlations, finding a reason for the fact that they are often numerically similar, despite using very different properties that leads to the improved method of analysis. It has always required a major effort of data reduction to compare experimental data with correlations that involve many properties. Comparisons between competing claims of different correlations are confused by uncertainties and indeed errors in tabulated property values, especially for uncommon fluids or old tabulations. These problems are greatly reduced by using a simpler correlation for example, in terms of reduced pressure, where the only tabulated property required for each fluid is critical pressure. The chapter concludes that taking advantage of that simplicity, correlations of a more subtle type can be considered without undue labor in data reduction.

643 citations

Journal ArticleDOI
TL;DR: In this article, a new model, based on asymptotic addition of the two boiling components, is introduced It follows the established principles of flow boiling and converges correctly to the extremes of all parameters Tested on the University of Karlsruhe data bank containing over 13,000 data points in vertical flow boiling, results superior to previous correlations are demonstrated
Abstract: In flow boiling, the nucleate and convective components are superimposed by a very complex mechanism, which so far is not well understood Two models exist in present literature, one by Chen [3] (1963), using addition of the two components with a suppression factor; and one by Shah [8] (1976), using the “greater of” the two components with a Bo-number simplified correlation Neither model presents a satisfactory solution, as attested by the numerous methods published since then, mostly based only on regression analysis-derived correction factors In this article a new model, based on asymptotic addition of the two boiling components, is introduced It follows the established principles of flow boiling and converges correctly to the extremes of all parameters Tested on the University of Karlsruhe data bank containing over 13,000 data points in vertical flow boiling, results superior to previous correlations are demonstrated

404 citations