Analysis of the Flow About Delta Wings with Leading Edge Separation at Supersonic Speeds

A research program was conducted to develop an improved theoretical flow model for the flow about sharp edge delta wings with leading-edge separation at supersonic speeds. The flow model incorporates a representation of the secondary separation region which occurs just inboard of the leading edge on such wings and is based on a slender-wing theory whereby the full three-dimensional problem is reduced to a quasi two-dimensional problem in the cross-flow plane. The secondary separation region was modeled by a surface distribution of singularities or a linearized type of cavity representation. The primary vortex and separation were modeled by a concentrated vortex and cut in the cross-flow potential which represents its feeding sheet. The cross-flow solutions for the cavity model were obtained, but these solutions have physical significance only in a very restricted range of angle of attack. The reasons for the failure of the flow model are discussed. The analysis is presented so that other interested researchers may critically review the work

A second order slender wing theory for wings with leading edge separation in supersonic flow

Second order slender wing theory for calculating supersonic flow over low aspect ratio wings with subsonic leading edges and leading edge separatio

ICPP Tank Farm systems analysis

During the early years (1950--1965) of Idaho Chemical Processing Plant (ICPP) operations, eleven, 300,000-gallon waste storage tanks were constructed. A project was in progress to replace these aging tanks; however, since fuel reprocessing has been curtailed at ICPP, it is not clear that the new tanks are required. The Department of Energy (DOE) requested a systems engineering evaluation to determine the need for the new tanks. Over 100 alternatives were identified during a facilitated team meeting using Value Engineering techniques. After eliminating any ideas which clearly could not meet the requirements, the remaining ideas were combined into nine basic cases with five sub cases. These fourteen cases were then carefully defined using two methods. First, each case was drawn graphically to show waste processing equipment interfaces and time constraints where they existed or were imposed. Second, each case was analyzed using a time-dependent computer simulation of ICPP waste management activities to determine schedule interactions, liquid storage requirements, and solid waste quantities. Based on the evaluation data, the team developed the following recommendations: Install and operate the high-level liquid waste evaporator; minimize liquid waste generation as much as possible within the constraints of required ICPP operational, safety, and environmental commitments; bring a Waste Immobilization Facility on line by 2008 or earlier; operate NWCF as required to alleviate the need for new tank farm capacity; maximize the concentration of Na and K in the calcine to minimize the final amount of waste requiring immobilization; avoid using Bin Set 7 for calcine storage, if possible, to reduce future calcine retrieval and D&D costs; and use WM-190 for liquid waste storage and one of the pillar and panel vaulted tanks as the spare

From Indicators to Predictive Analytics: A Conceptual Modelling Framework

Part 1: Regular PapersInternational audiencePredictive analytics provides organisations with insights about future outcomes. Despite the hype around it, not many organizations are using it. Organisations still rely on the descriptive insights provided by the traditional business intelligence (BI) solutions. The barriers to adopt predictive analytics solutions are that businesses struggle to understand how such analytics could enhance their existing BI capabilities, and also businesses lack a clear understanding of how to systematically design the predictive analytics. This paper presents a conceptual modelling framework to overcome these barriers. The framework consists of two modelling components and a set of analysis that systematically (1) justify the needs for predictive analytics within the organisational context, and (2) identify the predictive analytics design requirements. The framework is illustrated using a real case adopted from the literature