L-statistical analysis of sound signal acquired from pulse mode laser welding for characterising weld geometry

Many ongoing studies have proven that statistical features extracted from the acquired sound during a laser welding process significantly yield some pictures on the weld condition, including weld geometry. However, a considerable amount of studies has underlined the use of common statistical feature...

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Main Authors: Mohd Fadhlan, Mohd Yusof, M., Ishak
Format: Article
Language:English
Published: Universiti Malaysia Pahang 2019
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/26026/
http://umpir.ump.edu.my/id/eprint/26026/
http://umpir.ump.edu.my/id/eprint/26026/
http://umpir.ump.edu.my/id/eprint/26026/1/L-statistical%20analysis%20of%20sound%20signal%20acquired%20from%20pulse.pdf
id ump-26026
recordtype eprints
spelling ump-260262019-11-21T02:55:06Z http://umpir.ump.edu.my/id/eprint/26026/ L-statistical analysis of sound signal acquired from pulse mode laser welding for characterising weld geometry Mohd Fadhlan, Mohd Yusof M., Ishak QC Physics TJ Mechanical engineering and machinery TS Manufactures Many ongoing studies have proven that statistical features extracted from the acquired sound during a laser welding process significantly yield some pictures on the weld condition, including weld geometry. However, a considerable amount of studies has underlined the use of common statistical features in which they are restricted to some limitations when dealing with non-stationary random sound signal. In the present study, the main aim is to study the correlation between the L-statistical features trend of the sound amplitude distribution with respect to the change in weld geometry during pulse mode laser welding compared to common statistical features. In an attempt to achieve this goal, a pulse mode laser welding was subjected to 22MnB5 boron steel with variations in the peak power, pulse width, and focal length. Meanwhile, the sound signal was acquired during the process, with standard deviation, interdecile range, mean absolute deviation, L-Cv (scale), and L-kurtosis extracted from the analysis. The degree of correlation between these statistical features and weld geometry was compared from the R-square value. According to the reported results, L-kurtosis yielded the strongest correlation with both weld penetration depth and bead width compared to the remaining five statistical features. This showed that the use of L-statistical features was significant to improve the correlation between sound signals and weld geometry. Universiti Malaysia Pahang 2019-10-03 Article PeerReviewed pdf en cc_by_nc_4 http://umpir.ump.edu.my/id/eprint/26026/1/L-statistical%20analysis%20of%20sound%20signal%20acquired%20from%20pulse.pdf Mohd Fadhlan, Mohd Yusof and M., Ishak (2019) L-statistical analysis of sound signal acquired from pulse mode laser welding for characterising weld geometry. International Journal of Automotive and Mechanical Engineering (IJAME), 16 (3). pp. 6987-7006. ISSN 2229-8649 (Print); 2180-1606 (Online) http://journal.ump.edu.my/ijame/article/view/832 https://doi.org/10.15282/ijame.16.3.2019.12.0524
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic QC Physics
TJ Mechanical engineering and machinery
TS Manufactures
spellingShingle QC Physics
TJ Mechanical engineering and machinery
TS Manufactures
Mohd Fadhlan, Mohd Yusof
M., Ishak
L-statistical analysis of sound signal acquired from pulse mode laser welding for characterising weld geometry
description Many ongoing studies have proven that statistical features extracted from the acquired sound during a laser welding process significantly yield some pictures on the weld condition, including weld geometry. However, a considerable amount of studies has underlined the use of common statistical features in which they are restricted to some limitations when dealing with non-stationary random sound signal. In the present study, the main aim is to study the correlation between the L-statistical features trend of the sound amplitude distribution with respect to the change in weld geometry during pulse mode laser welding compared to common statistical features. In an attempt to achieve this goal, a pulse mode laser welding was subjected to 22MnB5 boron steel with variations in the peak power, pulse width, and focal length. Meanwhile, the sound signal was acquired during the process, with standard deviation, interdecile range, mean absolute deviation, L-Cv (scale), and L-kurtosis extracted from the analysis. The degree of correlation between these statistical features and weld geometry was compared from the R-square value. According to the reported results, L-kurtosis yielded the strongest correlation with both weld penetration depth and bead width compared to the remaining five statistical features. This showed that the use of L-statistical features was significant to improve the correlation between sound signals and weld geometry.
format Article
author Mohd Fadhlan, Mohd Yusof
M., Ishak
author_facet Mohd Fadhlan, Mohd Yusof
M., Ishak
author_sort Mohd Fadhlan, Mohd Yusof
title L-statistical analysis of sound signal acquired from pulse mode laser welding for characterising weld geometry
title_short L-statistical analysis of sound signal acquired from pulse mode laser welding for characterising weld geometry
title_full L-statistical analysis of sound signal acquired from pulse mode laser welding for characterising weld geometry
title_fullStr L-statistical analysis of sound signal acquired from pulse mode laser welding for characterising weld geometry
title_full_unstemmed L-statistical analysis of sound signal acquired from pulse mode laser welding for characterising weld geometry
title_sort l-statistical analysis of sound signal acquired from pulse mode laser welding for characterising weld geometry
publisher Universiti Malaysia Pahang
publishDate 2019
url http://umpir.ump.edu.my/id/eprint/26026/
http://umpir.ump.edu.my/id/eprint/26026/
http://umpir.ump.edu.my/id/eprint/26026/
http://umpir.ump.edu.my/id/eprint/26026/1/L-statistical%20analysis%20of%20sound%20signal%20acquired%20from%20pulse.pdf
first_indexed 2023-09-18T22:40:16Z
last_indexed 2023-09-18T22:40:16Z
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