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Aviation Topic - Benefits of Blended Winglet Technology

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Question;Aviation Topic: Benefits of Blended Winglet TechnologyPO #4The student will be able to develop and/or apply current aviation and industry related researchmethods, including problem identification, hypothesis formulation, and interpretation of findingsto present as solutions in the investigation of an aviation or aerospace related topic.The research and analysis of this study will show evidence of meeting ProgramOutcome #4 by demonstrating and applying current aviation and industry relatedresearch methods, including problem identification, hypothesis formulation andinterpretation of findings to present as solutions in the investigation of an aviation /aerospace related topic. Specifically,By identifying the following problem: Boeing 737-700 aircraft without blended winglettechnology burn more fuel than the equivalent Boeing 737-700 air transport category aircraftwith blended winglet technology which consequently increases the total cost of ownershipfor the over the life of the aircraft at an airline.A quantitative study will be conducted and the results identified to accept or reject thehypothesis that there is a statistically significant (p=.05) performance gain and resultant netfuel savings between aircraft with installation of blended winglet technologies and thoseaircraft without.H1: There is a significant relationship between the realized performance benefitsof aircraft with blended winglet installations versus an aircraft without blendedwinglet installations and the operating environment in which they are flown. Thenull hypothesis is:H2: There is no significant relationship between realized performance benefits ofaircraft with blended winglet installations versus aircraft without blended winglettechnologies and the operating environment in which they are flown.FAA approved aircraft type certificates will be analyzed and compared to OEM projectedperformance benefits as provided by Boeing Commercial Aircraft Company 737-700 PilotOperating Handbook. Correlations will be drawn between the two data sets and will beanalyzed for statistical significance using Microsoft Excel tools. The independent variablewill be temperature for a given phase of flight weight limit for the Boeing 737-700 seriesaircraft as provided by Boeing Commercial Aircraft Company Performance and FlightPlanning manual for aircraft with and without Blended Winglet Technology Installation. Thedependent variable will be highly based on the phase of flight and data weight limitsevaluated as an output of the Boeing 737-700 Performance and Flight Planning Manual.Specifically, Take-Off & Climb Field and Climb Weight Limits will be evaluated along withlanding weights for Approach Climb and Landing Climb weight limits for the Landing Phaseof flight for aircraft equipped with and without blended winglet technology.Interpretation of Findings Upon completion of the statistical analysis, the results willbe reviewed and the null hypothesis either accepted or rejected. Conclusions will berecommended based on the data collected and results will be presented as findings.PO #2The student will be able to identify and apply appropriate statistical analysis, to includetechniques in data collection, review, critique, interpretation and inference in the aviation andaerospace industry.The research and analysis of this question will show evidence of meeting ProgramOutcome #2 by demonstrating application of appropriate statistical analysis, to includetechniques in data collection, review, critique, interpretation and inference in theaviation and aerospace industry. Specifically,This research will analyze Boeing Commercial Aircraft Company OEM performance datafor the Boeing 737-700 using T Test and ANOVA statistical methods. These methods willbe used primarily due the expectation of fairly large sample sizes that are also expected tobe normally distributed between the Boeing 737-700/800/900 with blended winglettechnology and the Boeing Commercial Aircraft Company supplied performance charts forthe Boeing 737-700 without blended winglet technologies. This study will focus on threespecific phases of flight where installation of blended technology user benefits aresuggested to be the most significant along with the performance benefits of each:1. Take-off Phase2. Cruise Phase3. Descent and Approach to Landing PhaseThis approach is intended to collect additional airline user data points beyond a singleOEM suggested performance gain metric for the Boeing 737-700 with no blended wingletinstallation. A resultant statistical data analysis will seek to validate if the accuracy of theBoeing OEM performance claims relative to actual airline user data from airlines thatoperate the 737-700 with blended winglet technologies.Analysis of Aerospace industry journal articles will be conducted through a statisticalquantitative data analysis to assess whether the OEM performance data received fromBoeing supports or rejects the hypothesis. Due to the expectation of fairly large sample size,which is expected to be normally distributed, this research will use T Test and ANOVAstatistical methods to analyze the data. The study will consider ex post defacto methodsfor statistical analysis by comparing the cause-and-effect relationship between aircraft flyingwith reduced fuel burn and the net effect of blended winglet installations as a direct andplausible cause of airline measured reductions in fuel consumption.The research will address data collection by documenting Boeing 737-700 series aircraftperformance data from aircraft with and without Winglet installation along with the realizedvalue benefits realized. The data collected will be reviewed and critiqued to determine ifany responses should be discounted due to reliability or lack of qualification.Interpretation of Findings - The research will address data collection by documentingBoeing 737-700 performance metrics from aircraft with and without blended wingletinstallation along with realized value benefits shown in a Pareto chart. Utilizing thispurposive sampling technique should achieve the desired result for statistical significancewhere (p=0.5). In addition, a correlation analysis through evaluation of scatterplots will bepresented based on a comparison of topics covered in the methodology section above.

 

Paper#61327 | Written in 18-Jul-2015

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