Investigating the impact of vibration characteristics on the surface roughness using MPU6050 sensor at turning of 11SMn30 steel

Manufacturing system automation is becoming more and more important in sectors due to the growing digital revolution (Industry 4.0) and economic competitiveness. One of the key criteria for making machines entirely automatic is the installation of sensors on the machine. Industrialists have used speed, temperature, and other sensors to offer real-time data and examine faults but sensors to interpret vibration are still being developed. One of the primary impacts of vibration is on the surface roughness. Surface roughness has an impact on several factors affecting the machine, including stress concentration, frictional wear, corrosivity, and so on. To prevent such failures, this study focused on identifying a correlation between vibration and surface roughness by adjusting the feed rate and it was found 92.2 % correlation is noted in between vibration and arithmetic average surface roughness.

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Publication Details

Journal
Multidiszciplináris Tudományok
Published
2024-12-12
DOI
https://doi.org/10.35925/j.multi.2024.4.24
Citations
1
Primary Topic
Advanced machining processes and optimization
Type
article
Field-Weighted Citation Impact
0.21

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article

Investigating the impact of vibration characteristics on the surface roughness using MPU6050 sensor at turning of 11SMn30 steel

Tanuj Namboodri, Csaba Felhő
1 citations
Multidiszciplináris Tudományok
Advanced machining processes and optimization
0.21
article

Investigating the impact of vibration characteristics on the surface roughness using MPU6050 sensor at turning of 11SMn30 steel

Tanuj Namboodri, Csaba Felhő
article en
1 citations

Abstract

Manufacturing system automation is becoming more and more important in sectors due to the growing digital revolution (Industry 4.0) and economic competitiveness. One of the key criteria for making machines entirely automatic is the installation of sensors on the machine. Industrialists have used speed, temperature, and other sensors to offer real-time data and examine faults but sensors to interpret vibration are still being developed. One of the primary impacts of vibration is on the surface roughness. Surface roughness has an impact on several factors affecting the machine, including stress concentration, frictional wear, corrosivity, and so on. To prevent such failures, this study focused on identifying a correlation between vibration and surface roughness by adjusting the feed rate and it was found 92.2 % correlation is noted in between vibration and arithmetic average surface roughness.

Multidiszciplináris TudományokVol. 14(4)
University of Miskolc (HU)
Eurostars
Openalex Percentile: Top 49%
Advanced machining processes and optimization
0.21
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