Lake Superior State University
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Alum Success

“The material covered in LSSU's engineering program provided me a solid foundation for graduate studies. The systematic approach and communication skills needed to tackle engineering projects were taught and then practiced over and over again. In particular I appreciate the many hours spent by the faculty to develop oral presentation skills in each student. As a graduate student now, these skills have proven to be highly beneficial and, to my surprise, obviously not taught to the same extent at many other universities.”

Mark Reese, Mechanical Engineering 2005
Hawaii Natural Energy Institute
School of Ocean & Earth Science and Technology
Graduate Student, University of Hawaii at Manoa

School of Engineering

Senior Projects 2010-2011

 

PRS

Team PRS

Pioneering Race Systems

PRS web picture PRS Team picture

 

Members:

  • Steve Wilson

Faculty Advisor:

  • Mr. Jon Coullard

Company:

  • Lake Superior State University

Industrial Contact:

  • Prof. Paul Duesing

Project Description:Upgrade of SAE Mini Baja Transmission

PRS was given the task of designing and building a more robust transmission incorporating stronger chains and heavy duty sprockets, and redesigning the chain tensioning system of the SAE Mini Baja vehicle. The vehicle required greater durability for the harsh conditions of competition which includes hill climbs, mud bogs and rock crawls. The result is a transmission that requires less down time for repairs, providing a more competitive vehicle.

Links to the 2010-2011 Teams:

A Spatial Analysis of Greenhouse Gasses and Household Income

Scott Sowers

Emissions of greenhouse gases (GHG) by industries have been increasing at an exponential rate in the past century. As these emissions increase in number of sources, as well as amount of output, the impact on the environment becomes more significant. However, the United States relies heavily on industry for creation of new products, materials, and economic factors such as employment. Industries attract employment opportunities, which in return attract living accommodations. The basis of this project was to see if there is any spatial correlation between GHG emissions and income of households (within a county) of a GHG emitter. Using Geographical Information Science (GIS), we are able to search for a correlation between lower class households and amounts of GHG emissions. After processing the data, we are able to show that there is no trend in GHG emissions and the proximity to lower class households. Towards the end of the project, we were able to see an extremely slight trend of lower amounts of GHG emissions near upper class households. The project also provides the statistics, or any autocorrelation, of the data for significance testing to determine whether or not there is a probability of the relationship. The statistics provided will be the R2 value, regression, and correlation.

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