Thermodynamic Properties of Organic compounds and their Mixtures Densities of Alcoholes vol 8 subvol G, chem
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Landolt-Börnstein
Numerical Data and Functional Relationships in Science and Technology
New Series
/ Editor in Chief: W. Martienssen
Group IV: Physical Chemistry
Volume 8
Thermodynamic Properties
of Organic Compounds
and their Mixtures
Subvolume G
Densities of Alcohols
M. Frenkel, X. Hong, R.C. Wilhoit, K.R. Hall
Edited by K.R. Hall and K.N. Marsh
12 3
ISSN 0942-7996 (Physical Chemistry)
ISBN 3-540-66233-2 Springer-Verlag Berlin Heidelberg New York
Library of Congress Cataloging in Publication Data
Zahlenwerte und Funktionen aus Naturwissenschaften und Technik, Neue Serie
Editor in Chief: W. Martienssen
Vol. IV/8G: Editors: K.R. Hall, K.N. Marsh
At head of title: Landolt-Börnstein. Added t.p.: Numerical data and functional relationships in science and technology.
Tables chiefly in English.
Intended to supersede the Physikalisch-chemische Tabellen by H. Landolt and R. Börnstein of which the 6th ed. began
publication in 1950 under title: Zahlenwerte und Funktionen aus Physik, Chemie, Astronomie, Geophysik und Technik.
Vols. published after v. 1 of group I have imprint: Berlin, New York, Springer-Verlag
Includes bibliographies.
1. Physics--Tables. 2. Chemistry--Tables. 3. Engineering--Tables.
I. Börnstein, R. (Richard), 1852-1913. II. Landolt, H. (Hans), 1831-1910.
III. Physikalisch-chemische Tabellen. IV. Title: Numerical data and functional relationships in science and technology.
QC61.23 502'.12
62-53136
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Editors
K.R. Hall
Thermodynamics Research Center
TheTexas A&M University System
College Station, Texas 77843-3111, USA
K.N. Marsh
former
Thermodynamics Research Center
TheTexas A&M University System
College Station, Texas 77843-3111, USA
now
Department of Chemical and Process Engineering
University of Canterbury
Christchurch, New Zealand
Authors
M. Frenkel
X. Hong
R.C. Wilhoit
K.R. Hall
Thermodynamics Research Center
TheTexas A&M University System
College Station, Texas 77843-3111, USA
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Preface
Critically evaluated experimental data covering the densities of organic compounds is essential for both
scientific and industrial applications. Knowledge of densities is important in many areas, including
custody transfer of materials, product specification, development of various predictive methods, and for
characterizing compounds and estimating their purity.
Various compilations of densities for organic compounds have been published. The early Landolt-
Börnstein compilation [23-ano] contained recommended values at specific temperatures. International
Critical Tables [28-ano-1] provided recommended densities at 0 °C and values of constants for either a
second or third order polynomial equation to represent densities as a function of temperature. This
compilation also gave the range of validity of the equation and the limits of uncertainty, references used
in the evaluation and those not considered. This compilation is one of the most comprehensive ever
published. Timmermans [50-tim, 65-tim], Dreisbach [55-dre, 59-dre, 61-dre] and Landolt-Börnstein
[71-ano] published additional compilations, primarily of experimental data. These compilations
contained experimental data along with reference sources but no estimates of uncertainty for the data nor
recommended values.
The Thermodynamics Research Center has published recommended values for the densities of
organic compounds since 1942 in its two loose leaf publications: TRC Thermodynamic Tables -
Hydrocarbons and Non-Hydrocarbons. These compilations are updated with four supplements per year.
References to the literature values used in the selection and those not used in the selection appear in the
references for each table. The accuracy of the values is apparent from the number of significant figures
provided. More recently, the Design Institute of Physical Property Data, Project 801 has assembled a set
of recommended equations for the densities of over 1500 compounds [89-dau/dan, 91-dau/dan,
92-dau/dan, 93-dau/dan, 94-dau/dan, 95-dau/dan, 96-daudan, 97-daudan]. Densities are represented by
an equation fit to selected values from the freezing temperature to the critical temperature. References to
sources of data used in the evaluation and those not used are given along with a quality assessment. In
many cases, the equation does not fit density values at intermediate temperatures, especially at 293.15 K
and 298.15 K, within the experimental uncertainty. Thus, the equation is not useful for purity
comparisons, custody transfer, or product specification when the highest accuracy is required. Smith and
Srivastava [86-smi/sri, 86-smi/sri-1] recently have published a compilation (in two volumes) which
contains recommended values in tabular form as well as equations with statistical information regarding
the fit. However, this compilation contains no indication of data quality or uncertainties.
The present volume contains densities for non-cyclic alcohols including monoalcohols, diols, and
triols both fully saturated and with various extents of unsaturation which have been collected from the
literature published from 1870 to early 1999. The various compilations listed above also have been
consulted for sources of original data. This volume continues our effort in evaluation of the densities of
organic compounds [see volume IV/8B [96-wil/mar] for the densities of alkanes, volume IV/8C
[96-wil/mar-1] for the densities of alkenes, alkynes and alkadienes, volume IV/8D [97-wil/hon] for the
densities of monocyclic non-aromatic hydrocarbons, volume IV/8E [98-wil/hon] for the densities of
aromatic hydrocarbons, volume IV/8F [99-wil/hon] for the densities of polycyclic hydrocarbons]. All
experimental density values have been evaluated critically and assigned numerical uncertainties
individually. These assessments have been used to derive an equation to fit the data and to obtain
recommended values with uncertainties. Detailed evaluation procedures appear in Chapter 1.
Algorithms for the automatic selection of data used in the fit and for the selection of the type of equation
and order of polynomial have been developed. The algorithms depend upon the assigned uncertainties,
the distribution of density values over the experimental temperature range, and the magnitude and
distribution of differences between observed and smoothed values. These algorithms can fit any kind of
data to a function of independent variables. We have collected data for 829 compounds, consisting of
data sets drawn from 1119 sources.
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