Diagram phases program

This instruction provides the policies and principles that govern the defense acquisition system and the phases that form the foundation for all DoD programs. It also identifies the specific statutory and regulatory reports and other information requirements for each phase and Milestone. The DoD calls the system an event-based process where a program goes thru a series of phases, milestones, and reviews from beginning to end. The phases consist of an Analysis of Alternatives AoA and Material Solution Analysis activities to include measures of effectiveness, cost estimates, schedule, the concept of operations, and risk.

At this site, the focus is on phase diagrams of aqueous solutions containing salts, amines, or sour gases that create electrolytic solutions.

The model has been documented through a number of publications in international scientific journals. The parameters of the model are based on a large amount of experimental data which enables the model to describe the phase behavior and the thermal properties of solutions containing electrolytes with great accuracy.

The experimental data include solid-liquid equilibrium data as well as experimentally measured activity and osmotic coefficients from the open literature. Also experimentally measured thermal properties such as heat of dilution, heat of solution, and apparent molal heat capacity for salt solutions were used for the determination of model parameters. These properties can therefore also be reproduced by the model.

The accuracy of the model is best illustrated by displaying calculated and experimental phase diagrams together. Examples of such phase diagrams are given on these pages. Calculated phase diagrams are plotted along with experimental data from the open literature in order to demonstrate the accuracy of the model. The main model parameters of the Extended UNIQUAC model are the binary interaction parameters, which are determined from binary and ternary experimental data. In addition to the binary interaction parameters, the model also uses size parameters that are specific to each species.

The model predicts the behavior of multi component systems based on these unary and binary parameters. Dots have been provided to show how both the position and velocity alternate between positive and negative maximum values as the system oscillates. The combined plots also illustrate the difference in phase between position and velocity. When the position is maximum the velocity is passing through zero, and vice versa. However, the combined plot is not as easy to visualize without making it an animation.

The phase-diagram plot, shown in the lower right, shows the phase relationship between velocity and position much more clearly.