Lake Superior State University
Lake Superior State University
 
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Alum Success

"I chose to transfer to Lake Superior State University because of the personal attention I would receive. I did not want to attend a large university where I would be a number lost in the masses. The well-rounded curriculum allowed me to obtain my position at John Deere. Having a good balance of theory and hands-on knowledge is critical for my position and Lake State gave me a good foundation in these skills."

Maria DiValentin, Mechanical Engineering 2001
Field Service Representative,
John Deere Power Systems
Waterloo, IA

School of Engineering

Senior Projects 2008-2009

 

Team Dyno Logo

Team Great Lakes Dyno Systems

Members:

  • Vaughn Alexander
  • Greg Edwards
  • Jon Konieczny
  • Roger Mathes
  • Dominic Moreau
  • Dave Stiles

Faculty Advisor:

  • Prof. David McDonald

Company:

  • Lake Superior State University

Industrial Contact:

  • Dr. Robert Hildebrand

Project Description:Vehicle Dynamometer Testing System


Donors & Technical Advisors: Revolutionary Engineering, owned by LSSU Alums Dan (’92) and Allen White (’95), and engineer Matt Slaght (’07)

The main objective was to create an instructional test cell for evaluating automobile performance to be used by the vehicle systems option students. The test cell controls a dynamometer via computer to record the torque, speed and horsepower of a vehicle. Team GLDS refurbished the system and restraints, and developed the safety systems. Additional instrumentation may be interfaced with the work cell to measure the vehicle’s emissions and vibrations in a controlled environment. The dynamometer and test cell are unique to this region and can serve to benefit the community.

Links to the 2008-2009 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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