Surface Roughness Measurement Device
Project:
Surface Roughness Measurement Device
Main role:
Team Lead
Jan. 25, 2023 - Dec. 1 2023
The project focused on creating a cost-effective surface roughness measurement device using a surface friction concept. Employing a linear actuator and load cells, the device autonomously moved a probe across a specimen of different milled sections, collecting data to quantify surface roughness.
Initial Design Concepts
Methodology

Issues with the stylus designs involve expensive costs for the stylus tool itself. A non-contact laser has a very complex setup with potential scatter error in results. Even though the friction device contains the greatest feasibility and cost effectiveness, the concept has the lowest accuracy compared to other designs.



Construction
There was a need to 3D print essential components vital
for the mounting and attachment system of the linear actuator. One of these components, the
actuator bracket with a hex hole, and its counterpart, the actuator bracket, were intended to
undergo printing with an approximate 25% infill. Additionally, the load cell actuator attachments demanded a higher
45% infill due to the inclusion of brass threaded inserts for M5 threads.


Results
The figure incorporates 8 suitable sections of the test plate with different surface roughnesses and their corresponding measured coefficients of friction. The blue and orange curves represent outer bounds of the possible coefficient of friction range for each surface, and are used to find an uncertainty range of measured surface roughnesses within the LabVIEW program.
Procedure
A linear actuator,
connected to a load cell, is strategically positioned to exert force along a test arm carrying a
predefined weight. Simultaneously, another load cell is affixed to a resin-tipped end on the test
arm. As the actuator propels forward, the resin tip comes into contact with a metal surface,
generating a frictional force that is meticulously measured by the load cell on the actuator.
Concurrently, the second load cell on the test arm records the normal force. The coefficient of
friction is then calculated by determining the quotient of these two forces. This
data is systematically processed and outputted for a mean value for further analysis.

The Friction Device, selected for its simplicity and cost-effectiveness, stood out as the optimal choice in the project's concept design. Despite challenges in load cells, surface roughness device troubleshooting, and LabVIEW intricacies, the team showcased resilience and commitment to overcoming technical obstacles. Key improvements for future iterations involve interdisciplinary collaboration with electrical engineers, familiarity with LabVIEW, advanced actuator designs, and consideration of a higher budget for enhanced reliability in surface roughness measurements.

