Loading and testing a light scattering cell with a binary fluid mixture near its critical composition

Critical phenomena has been the subject of physics research for many years. However, only in recent years has the research effort become intense. The current intensity has caused the study of critical phenomena to be grouped into a previous older era and a present contemporary era. Turbidity cell filling with methanol cyclohexane is one of the first steps toward a further understanding of critical phenomena. Work performed during the research period is outlined. During this period, research was spent developing apparatus and techniques that will make it possible to study critical phenomena through turbidity measurements on methanol cyclohexane. Topics covered range from the orientation of turbidity cell parts for assembly to the filling apparatus and procedure used when th cell is built. The last section will briefly cover some of the observations made when viewing the cell in a controlled water bath. However, before mention is made of the specifics of the summer research, a short introduction to critical phenomena and turbidity and how they relate to this experiment is provided

BATTLESPACE/INFORMATION WAR (BAT/IW): a system-of-systems model of a strike operation

This paper presents a low-resolution, high-level modeling methodology for the analysis of the effectiveness of a Blue system of systems operating in a battlespace. The methodology enables quick turn around and efficient exploration of sensitivities of measures of Blue combat success to realistically imperfect Blue intelligence, surveillance and reconnaissance capabilities: limited and imperfect sensor surveillance and reconnaissance, particularly battle damage assessment (BDA), and finite, hence saturable, communications and weapons delivery capability. The model explicitly represents aircraft sorties, fires, sensor/shooter latencies, target losses, imperfect target type classification, imperfect weapon assignment, and BDAvarious levels of the above imperfections can be applied, facilitating tradeoff studies, The model is deterministic/ expected value in nature, although it analytically represents time-dependent stochastic features such as system saturability. Model experimentation suggests the following results. Decreasing shooter latency can result in greater attrition than correspondingly increasing the probabilities of correct BDA or weapon assignment, although at the expense of a greater number of weapons fired per target killed. Erroneous BDA returns dead targets to the shooter targeting list. These dead targets not only result in wasted weapon expenditure but also take sensor/shooter resources away from legitimate live targets. Increasing the probability of correct BDA can result in a greater number of targets killed during a time period than increasing the probability of correct weapon assignment.