Capstone Project: Web Tracking Sensor

The students explored and demonstrated instrumentation that could detect the edge of a moving web and sense its lateral displacement to within +/- 25 microns (with a goal of achieving +/- 5 microns). The signal from the sensor would be used to control web steering in a manufacturing machine to ensure accurate web tracking through the machine.

Faculty advisor:

Dr. Paul Gendron

Team:

Jake Jaskolka (leader), Mechanical Engineering
Isaak Akins, Electrical & Computer Engineering
Justin Conor, Elecrical & Computer Engineering

Sponsor:

John Berg, Carpe Diem Technologies

Abstract:

The students explored and demonstrated instrumentation that could detect the edge of a moving web and sense its lateral displacement to within +/- 25 microns (with a goal of achieving +/- 5 microns). The signal from the sensor would be used to control web steering in a manufacturing machine to ensure accurate web tracking through the machine.

More information

Mechanical Engineering

Electrical & Computer Engineering


Category - Capstone Projects