Bret Van Poppel

Challenges of measuring progress in Afghanistan using violence trends: the effects of aggregation, military operations, seasonality, weather, and other causal factors

Measuring nationwide progress of counterinsurgency operations in Afghanistan using violence trends is difficult due to several factors: aggregation of data to the national level may obfuscate disparate local trends; the observed seasonality in violence makes comparisons difficult and may obscure progress; and short-term spikes or troughs – attributable to weather, military operations and tempo, or holiday periods – heavily influence simple averaging schemes. Despite these challenges, proper understanding of violence statistics is critical to estimating the effectiveness of military forces added during a surge or redeployed as part of transition. This article explores methods for analyzing observed violence trends to identify causal factors, to provide a comparable baseline, and to inform assessments at appropriate levels of aggregation. One methodology for seasonal adjustment of violence data is discussed and shown to provide a logical baseline for examining trends. An ordinary least squares regression model is developed and implemented using time-series violence data.

On the Similarity Solution for Condensation Heat Transfer

Analytical solutions for laminar film condensation on a vertical plate are integral to many heat transfer applications, and have therefore been presented in numerous refereed articles and in most heat transfer textbooks. Commonly made assumptions achieve the well known similarity solution for the Nusselt number, heat transfer coefficient, and film thickness. Yet in all of these studies, several critical assumptions are made without justifying their use. Consequently, for a given problem one cannot determine whether these restrictive assumptions are actually satisfied, and thus, how these conditions can be checked for validity of the results. This study provides a detailed solution that clarifies these points.

Upgrading the Undergraduate Gas Turbine Lab

A study of gas turbine engines is an important component of an integrated thermodynamics and fluid mechanics two-course sequence at the United States Military Academy (USMA). Owing to the ubiquity of gas turbines in military use, graduating cadets will encounter a variety of these engines throughout their military careers. Especially for this unique population, it is important for engineering students to be familiar with the operation and applications of gas turbines. Experimental analysis of a functional auxiliary power unit (APU) from an Army utility helicopter has been a key component of this block of instruction for several decades. As with all laboratory equipment, the APU has experienced intermittent maintenance issues, which occasionally render it unusable for the gas turbine laboratory in the course. Because of this, a very basic virtual laboratory was implemented which integrated video of the physical laboratory with key parameters and behind-the-screen data collection for use in engine analysis.A revitalized version of both the physical and virtual gas turbine laboratory experiences offered in the thermal-fluids course will include substantial improvements over the existing setup. The physical laboratory, which is centered on a refurbished APU from a medium-sized commercial aircraft, will continue to incorporate measurements of temperature and pressure throughout the combustion process, as well as fuel flow rate. In an improvement over the original laboratory setup, an orifice plate will be used to measure the flow rate of bleed air exiting the turbine, which had not previously been open during engine testing. Additionally, the air flow through the anti-surge valve was not metered in the original version of the physical laboratory. However, the anti-surge air flow can account for nearly 25% of the total air flow, and performance calculations in the physical laboratory will now account for this loss. The turbine output shaft will run a water-brake dynamometer. All instrumentation will be converted to digital signals and projected on a large screen outside the test area through a LabVIEW front panel. The virtual laboratory will include the same metering options as the operational APU. In addition, the virtual laboratory will include the option to alter engine operating parameters, such as inlet temperature and pressure or exhaust temperatures, and students may conduct broad parameter sweeps across ranges of possible inputs or desired outputs. These improvements will enable students to gain a deeper understanding of gas turbine operation and capabilities in practical applications. The improved laboratory will be implemented in Spring, 2014.© 2014 ASME

A Comparison of Shadowgraphy and X-Ray Computed Tomography in Liquid Spray Analysis

This work examines and compares two proven techniques for assessing key characteristics of liquid sprays for combustion applications: shadowgraphy and time-averaged X-ray computed tomography (CT). Atomization has key applications in combustion as it can improve fuel efficiency, increase heat release, and decrease pollutant emissions. To improve the design of fuel injection nozzles, the ability to conduct accurate analyses of sprays is crucial. Key characteristics of the liquid spray, such as mean particle diameter, spray-cone angle, mass distribution, and penetration length give insight into the effectiveness of a nozzle. Shadowgraphy is a relatively inexpensive method that produces a two-dimensional, instantaneous image of the spray particles or spray called a shadowgram. Shadowgrams can be used for analyzing mean particle size, spray-cone angle, and location of breakup regions. X-ray CT measures the time-averaged X-ray absorption of two-dimensional projection images of spray to produce a three-dimensional reconstruction of the spray. X-ray CT can provide valuable insight into the symmetry and mass distribution of a spray; however, X-ray absorption diminishes rapidly with increased distance from nozzles, thereby limiting analysis to the regions near the nozzle. A detailed comparison of the overall effectiveness and insights yielded by the two methods illustrates the unique uses, benefits, and shortcomings of each method. The results confirm that X-ray CT scanning proves more effective in the dense, near-nozzle spray region. Shadowgraphy effectively complements the X-ray CT analysis through particle analysis. It also allows for relatively simple spray cone analysis, though it cannot provide quantitative mass distribution analysis.Copyright

Explaining Exergy: A Cycle Approach

The exergy of a system at a given state traditionally is defined as the maximum potential useful work available from the system as it reaches equilibrium with its surroundings or a specified state (dead state). Boettner, et al. [1] demonstrate consideration of work required to restore the system to its original state is inherent in the definition of exergy. They provide a visual interpretation for the concept of exergy of a closed system whose temperature and pressure are above those of the dead state: closed system exergy corresponds to the sum of net work associated with a power cycle and a heat pump cycle with both cycles incorporating the system state and the dead state. On further investigation, the second cycle is not limited to a heat pump cycle and can be modeled as either a power cycle or a refrigeration/heat pump cycle. This paper simplifies the analysis such that one can immediately graph on a pressure-volume diagram and a temperature-entropy diagram a cycle whose enclosed area represents the exergy of a closed system at state i interacting with its surroundings (dead state). This paper also examines the case in which the closed system temperature and pressure are below those of the dead state.