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Halite-sylvite thermoconsolution

机译:卤石-钾盐热固溶体

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An asymmetric binary Margules formulation for excess Gibbs energy, enthalpy, and entropy is adequate to describe the 1 bar halite-sylvite solvus in NaCl-KCl (Thompson and Waldbaum 1969). However, a binary Margules formulation is not adequate to describe excess volumes of single-phase chlorides in P-V-T-X from ambient P-T to similar to20 kbar and 700degreesC. Excess volumes across NaCl-KCl increase with temperature, decrease with pressure, and show systematic deficits in the consolute region. These patterns can be explained by the importance of a third component- vacancy defects that relieve the lattice stresses of K-Na size mismatch. New, two-phase observations in P-V-T-X allow delineation of the excess Gibbs energies to high pressures where the excess enthalpies and entropies do not depend on Tat each P, but show significant variation between 1 bar and similar to20 kbar. The volume, entropy, and enthalpy of K-Na mixing become more ideal at high pressure. But the solvus expands with pressure because entropy approaches ideality faster than enthalpy and, therefore, Gibbs energy of K-Na mixing becomes less ideal with pressure. The consolute temperature rises about 80degreesC in 17 kbar, with little change in consolute composition. The binary Margules equation of state provides a prediction of the rise of the solvus that is impressively convergent with the new observations. This convergence is especially impressive given the clear inadequacies of the binary excess volume formulation on which the prediction is based.
机译:对于多余的吉布斯能量,焓和熵的不对称二元Margules公式足以描述NaCl-KCl中的1 bar盐岩-钾盐溶液(Thompson and Waldbaum 1969)。但是,二元Margules公式不足以描述P-V-T-X中从环境P-T到20 kbar和700℃的过量单相氯化物。 NaCl-KCl上的多余体积随温度增加,随压力减小,并在固溶区显示出系统的缺陷。这些模式可以通过缓解K-Na尺寸失配的晶格应力的第三组分空位缺陷的重要性来解释。在P-V-T-X中进行了新的两阶段观测,可以将多余的吉布斯能量描绘​​为高压,其中多余的焓和熵不取决于每个P的Tat值,但显示出1 bar到20 kbar之间的显着变化。在高压下,钾钠混合的体积,熵和焓变得更理想。但是,固溶随着压力的增加而膨胀,因为熵比焓更快地达到理想状态,因此,K-Na混合的吉布斯能量在压力下变得不理想。固溶温度在17 kbar下升高约80摄氏度,固溶成分几乎没有变化。二进制的Margules状态方程提供了对固溶线上升的预测,该预测与新的观测结果非常收敛。鉴于预测所基于的二进制超量公式的明显不足,这种收敛特别令人印象深刻。

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