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Do Wind Turbines Affect Weather Conditions?: A Case Study In Indiana, Meghan F. Henschen, Brittany Herrholtz, Lacey Rhudy, Kathryn Demchak, Brian Doogs, Joshua Holland, Erik Larson, Johnny Martin, Matthew Rudkin Jul 2011

Do Wind Turbines Affect Weather Conditions?: A Case Study In Indiana, Meghan F. Henschen, Brittany Herrholtz, Lacey Rhudy, Kathryn Demchak, Brian Doogs, Joshua Holland, Erik Larson, Johnny Martin, Matthew Rudkin

The Journal of Purdue Undergraduate Research

Wind turbines are becoming increasingly widespread in the United States as the world looks for cleaner sources of energy. Scientists, policymakers, and citizens have strong opinions regarding the positive and negative effects of wind energy projects, and there is a great deal of misinformation about wind energy circulating on the Web and other media sources. The purpose of this study is to gain a better understanding of how the rotation of hundreds of turbines can influence local weather conditions within a wind farm and in the surrounding areas. This experiment measures temperature, atmospheric pressure, wind speed, wind direction, relative humidity, …


The Future Of Aerospace Propulsion: Visco-Elastic Non-Newtonian Liquids, Nicole Arockiam Jul 2011

The Future Of Aerospace Propulsion: Visco-Elastic Non-Newtonian Liquids, Nicole Arockiam

The Journal of Purdue Undergraduate Research

Aerospace propulsion often involves the spray and combustion of liquids. When a liquid is sprayed, large drops form first, in a process known as primary atomization. Then, each drop breaks up into smaller droplets, in a process known as secondary atomization. This determines final drop sizes, which affect the liquid’s evaporation and mixing rates and ultimately influence combustor efficiency. Little has been published concerning the secondary atomization of visco-elastic non-Newtonian liquids, such as gels. These substances have special potential as aerospace propellants, because they are safer to handle than their Newtonian liquid counterparts, such as water. Additionally, they can be …


Statistical Analysis When The Data Is An Image: Eliciting Student Thinking About Sampling And Variability., Margaret A. Hjalmarson, Tamara J. Moore, Robert Delmas May 2011

Statistical Analysis When The Data Is An Image: Eliciting Student Thinking About Sampling And Variability., Margaret A. Hjalmarson, Tamara J. Moore, Robert Delmas

School of Engineering Education Faculty Publications

Results of analysis of responses to a first-year undergraduate engineering activity are presented. Teams of students were asked to develop a procedure for quantifying the roughness of a surface at the nanoscale, which is typical of problems in Materials Engineering where qualities of a material need to be quantified. Thirty-five teams were selected from a large engineering course for analysis of their responses. The results indicate that engagement in the task naturally led teams to design a sampling plan, use or design measures of center and variability, and integrate those measures into a model to solve the stated problem. Team …


Statistical Analysis When The Data Is An Image: Eliciting Student Thinking About Sampling And Variability, Tamara J. Moore, Margret Hjalmarson, Robert Delmas Jan 2011

Statistical Analysis When The Data Is An Image: Eliciting Student Thinking About Sampling And Variability, Tamara J. Moore, Margret Hjalmarson, Robert Delmas

School of Engineering Education Faculty Publications

Within statistics education, there is a growing interest in understanding students' application of understanding about variability and sampling given the relative lack of research in either area (Shaughnessy, 2007). The task examined in this paper elicited students' knowledge of these concepts within a small-group problem solving task completed by teams of first-year engineering students. In the Nanoroughness task, teams of students designed a procedure for quantifying the roughness of a material surface using digital images generated by atomic force microscopy. The procedure required students to apply statistical methods in order to aggregate the data. The focus of this article is …


Assessing Pedagogy In Bioengineering Classrooms: Quantifying Elements Of The “How People Learn” Model Using The Vanth Observation System (Vos), Monica F. Cox, David S. Cordray Oct 2008

Assessing Pedagogy In Bioengineering Classrooms: Quantifying Elements Of The “How People Learn” Model Using The Vanth Observation System (Vos), Monica F. Cox, David S. Cordray

School of Engineering Education Faculty Publications

One goal of the VaNTH Engineering Research Center is to estimate the effects of the “value added” to bioengineering student learning as a result of “How People Learn” (HPL) framework interventions. A necessary step in that process is to assess pedagogical differences in both lecture-based and HPL-oriented courses. Data from 28 bioengineering courses, over five semesters, were analyzed using a newly developed HPL Index. This index, developed from the Classroom Interaction Observation portion of the VaNTH Observation System, reports levels of HPL-inspired pedagogy, traditional pedagogy, and classroom organization within a class using codes for different types of faculty and student …