Characterization of surface roughness of polished propeller

This project aim is to obtain the optimal speed of the robotic arm which could achieve an accurate surface roughness value of the polished propeller by attaching an optical roughness sensor to the robotic arm. Firstly, there are several types of roughness measurement techniques that surface roughnes...

Full description

Saved in:
Bibliographic Details
Main Author: Liang, Yi Ting
Other Authors: Zhang Yi Lei
Format: Final Year Project
Language:English
Published: 2015
Subjects:
Online Access:http://hdl.handle.net/10356/64259
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
Description
Summary:This project aim is to obtain the optimal speed of the robotic arm which could achieve an accurate surface roughness value of the polished propeller by attaching an optical roughness sensor to the robotic arm. Firstly, there are several types of roughness measurement techniques that surface roughness values can be obtained from. However, non-contact measurement techniques via optical methods are chosen over contact measurement techniques as it provides a fast and efficient method in obtaining roughness results. The experiment begins by making a comparison of roughness results obtained from different types of roughness measurement equipment available and the optical roughness sensor which allows a rough gauge on the accuracy of the sensor. Distance between the measured surface of the samples and sensor is important as it would affect the roughness accuracy detected by the sensor. According to information provided online, the ideal distance to place the measured surface and sensor is 1cm apart. Experiments were conducted to justify the information and results shows how distance affects the accuracy of the roughness readings. Lastly, experiments were carried out at SIMTech to measure the removal material of the polished propellers provided by attaching the sensor to the robotic arm. Surface roughness results were produced based on the different robotic arm speed and a conclusion was made.