Project Title

Designing Motorcycle Helmet to Reduce Traumatic Brain Injuries

Academic department under which the project should be listed

SPCEET - Mechanical Engineering

Faculty Sponsor Name

Muhammad Salman

Additional Faculty

Muhammad Salman, Mechanical Engineering, msalman1@kennesaw.edu Santana Roberts, Mechanical Engineering, srobe157@kennesaw.edu

Abstract (300 words maximum)

Most Americans rely on driving to meet their day-to-day transportation needs. While driving on American highways is inherently dangerous, studies show that it is significantly more dangerous for motorcycle operators. The purpose of this research project is to simulate the effects of impact a motorcyclist would experience from an accident. The data collected would be used to design the most effective helmet to reduce traumatic injuries. The simulations used are performed using static and dynamic testing. Static testing is done using a linear loading at a specific point on the helmet using the MTS Insight Machine and accelerometers. Dynamic testing is done using a drop test, accelerometers, and an infrared slow-motion camera.

Disciplines

Acoustics, Dynamics, and Controls | Applied Mechanics | Computer-Aided Engineering and Design | Electro-Mechanical Systems | Manufacturing | Other Mechanical Engineering

Project Type

Oral Presentation (15-min time slots)

How will this be presented?

Yes, synchronously via Teams

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Designing Motorcycle Helmet to Reduce Traumatic Brain Injuries

Most Americans rely on driving to meet their day-to-day transportation needs. While driving on American highways is inherently dangerous, studies show that it is significantly more dangerous for motorcycle operators. The purpose of this research project is to simulate the effects of impact a motorcyclist would experience from an accident. The data collected would be used to design the most effective helmet to reduce traumatic injuries. The simulations used are performed using static and dynamic testing. Static testing is done using a linear loading at a specific point on the helmet using the MTS Insight Machine and accelerometers. Dynamic testing is done using a drop test, accelerometers, and an infrared slow-motion camera.

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