In-Process Surface Roughness Recognition (IPSRR) system using Acoustic Emission (AE), Part III
Monitoring surface roughness using acoustic emission is to enable faulty conditions related with surface roughness to be recognized during the process before the quality of end product is out of specification. This report contain the study effect of different cutting parameters such as spindle...
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| Main Author: | |
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| Format: | Final Year Project Report / IMRAD |
| Language: | en en en |
| Published: |
Universiti Malaysia Sarawak, (UNIMAS)
2005
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/49981/5/Samuel%20%28dsva%29.pdf http://ir.unimas.my/id/eprint/49981/6/Samuel%2024%20pgs.pdf http://ir.unimas.my/id/eprint/49981/7/Samuel%20%28ft%29.pdf http://ir.unimas.my/id/eprint/49981/ |
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| Summary: | Monitoring surface roughness using acoustic emission is to enable faulty conditions
related with surface roughness to be recognized during the process before the quality
of end product is out of specification. This report contain the study effect of different
cutting parameters such as spindle rotation speeds. cutting feed rates and depth of cut
in turning process to the surface finish of the specimen. mild steel. Comparison in
many different cutting conditions is also done to study the effects such as cutting
with sharp and wear tool, and cutting with and without coolant. The acoustic
emission generated from the cutting process is recorded and the average, peak to
peak and standard deviation value is calculated. These values is then analyze as a
source for monitoring the surface roughness by comparing it with the surface
roughness measurement in arithmetic mean value, Ra. |
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