Experimental investigation of correlation between attrition wear and features of acoustic emission signals in single-grit grinding
Abstract The cutting performance of grit is controlled by its shape and geometric parameters. However, the geometry changes with the progression of attrition wear, thereby increasing grinding temperature, grinding force and decreasing grinding efficiency. It is important to monitor the cutting condi...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Yiming, Mei [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2017 |
|---|
| Schlagwörter: |
|---|
| Anmerkung: |
© Springer-Verlag London Ltd. 2017 |
|---|
| Übergeordnetes Werk: |
Enthalten in: The international journal of advanced manufacturing technology - Springer London, 1985, 93(2017), 5-8 vom: 30. Juni, Seite 2275-2287 |
|---|---|
| Übergeordnetes Werk: |
volume:93 ; year:2017 ; number:5-8 ; day:30 ; month:06 ; pages:2275-2287 |
| Links: |
|---|
| DOI / URN: |
10.1007/s00170-017-0687-1 |
|---|
| Katalog-ID: |
OLC2026109591 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | OLC2026109591 | ||
| 003 | DE-627 | ||
| 005 | 20230323141410.0 | ||
| 007 | tu | ||
| 008 | 200820s2017 xx ||||| 00| ||eng c | ||
| 024 | 7 | |a 10.1007/s00170-017-0687-1 |2 doi | |
| 035 | |a (DE-627)OLC2026109591 | ||
| 035 | |a (DE-He213)s00170-017-0687-1-p | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 670 |q VZ |
| 100 | 1 | |a Yiming, Mei |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Experimental investigation of correlation between attrition wear and features of acoustic emission signals in single-grit grinding |
| 264 | 1 | |c 2017 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
| 338 | |a Band |b nc |2 rdacarrier | ||
| 500 | |a © Springer-Verlag London Ltd. 2017 | ||
| 520 | |a Abstract The cutting performance of grit is controlled by its shape and geometric parameters. However, the geometry changes with the progression of attrition wear, thereby increasing grinding temperature, grinding force and decreasing grinding efficiency. It is important to monitor the cutting condition of grit to confirm its state of wear. Acoustic emission (AE) signals have been widely used in monitoring cutting tool conditions and have been proven effective in detecting tool wear and failure. To identify the correlation between attrition wear and AE features, comparison tests were carried out with a pair of sharp and blunt grits scratching on hardened AISI4340 workpiece and the AE signals during the scratching process were obtained. The signals were analyzed in the time, frequency, and time-frequency domain The numbers of AE counts in the time domain differed for the sharp and blunt grits. It is also found that the proportions of AE energy in the frequency band of 0–90 kHz and 90–250 kHz differed was attributed to differences in strength of the various AE sources. The AE energy was further analyzed in time-frequency domain using discredit wavelet transform (DWT). The AE energy at certain decomposition level was extracted. A validation test was carried out with a worn grit. It was suggested that features associated with AE energy are appropriate for detecting attrition wear of grit, but the number of AE counts fluctuated owing to the complex friction behavior of the worn surfaces. The results of AE energy distribution in the time-frequency domain reveal that the amplitude of the AE energy deteriorates more rapidly when the grit is worn. | ||
| 650 | 4 | |a Single grit grinding | |
| 650 | 4 | |a Attrition wear | |
| 650 | 4 | |a AE energy | |
| 650 | 4 | |a Frequency band | |
| 700 | 1 | |a Zhonghua, Yu |4 aut | |
| 700 | 1 | |a Zhensheng, Yang |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t The international journal of advanced manufacturing technology |d Springer London, 1985 |g 93(2017), 5-8 vom: 30. Juni, Seite 2275-2287 |w (DE-627)129185299 |w (DE-600)52651-4 |w (DE-576)014456192 |x 0268-3768 |7 nnns |
| 773 | 1 | 8 | |g volume:93 |g year:2017 |g number:5-8 |g day:30 |g month:06 |g pages:2275-2287 |
| 856 | 4 | 1 | |u https://doi.org/10.1007/s00170-017-0687-1 |z lizenzpflichtig |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_OLC | ||
| 912 | |a SSG-OLC-TEC | ||
| 912 | |a GBV_ILN_70 | ||
| 912 | |a GBV_ILN_2018 | ||
| 912 | |a GBV_ILN_2333 | ||
| 951 | |a AR | ||
| 952 | |d 93 |j 2017 |e 5-8 |b 30 |c 06 |h 2275-2287 | ||
| author_variant |
m y my y z yz y z yz |
|---|---|
| matchkey_str |
article:02683768:2017----::xeietlnetgtoocreaineweatiinernfaueoaosieis |
| hierarchy_sort_str |
2017 |
| publishDate |
2017 |
| allfields |
10.1007/s00170-017-0687-1 doi (DE-627)OLC2026109591 (DE-He213)s00170-017-0687-1-p DE-627 ger DE-627 rakwb eng 670 VZ Yiming, Mei verfasserin aut Experimental investigation of correlation between attrition wear and features of acoustic emission signals in single-grit grinding 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag London Ltd. 2017 Abstract The cutting performance of grit is controlled by its shape and geometric parameters. However, the geometry changes with the progression of attrition wear, thereby increasing grinding temperature, grinding force and decreasing grinding efficiency. It is important to monitor the cutting condition of grit to confirm its state of wear. Acoustic emission (AE) signals have been widely used in monitoring cutting tool conditions and have been proven effective in detecting tool wear and failure. To identify the correlation between attrition wear and AE features, comparison tests were carried out with a pair of sharp and blunt grits scratching on hardened AISI4340 workpiece and the AE signals during the scratching process were obtained. The signals were analyzed in the time, frequency, and time-frequency domain The numbers of AE counts in the time domain differed for the sharp and blunt grits. It is also found that the proportions of AE energy in the frequency band of 0–90 kHz and 90–250 kHz differed was attributed to differences in strength of the various AE sources. The AE energy was further analyzed in time-frequency domain using discredit wavelet transform (DWT). The AE energy at certain decomposition level was extracted. A validation test was carried out with a worn grit. It was suggested that features associated with AE energy are appropriate for detecting attrition wear of grit, but the number of AE counts fluctuated owing to the complex friction behavior of the worn surfaces. The results of AE energy distribution in the time-frequency domain reveal that the amplitude of the AE energy deteriorates more rapidly when the grit is worn. Single grit grinding Attrition wear AE energy Frequency band Zhonghua, Yu aut Zhensheng, Yang aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 93(2017), 5-8 vom: 30. Juni, Seite 2275-2287 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:93 year:2017 number:5-8 day:30 month:06 pages:2275-2287 https://doi.org/10.1007/s00170-017-0687-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2018 GBV_ILN_2333 AR 93 2017 5-8 30 06 2275-2287 |
| spelling |
10.1007/s00170-017-0687-1 doi (DE-627)OLC2026109591 (DE-He213)s00170-017-0687-1-p DE-627 ger DE-627 rakwb eng 670 VZ Yiming, Mei verfasserin aut Experimental investigation of correlation between attrition wear and features of acoustic emission signals in single-grit grinding 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag London Ltd. 2017 Abstract The cutting performance of grit is controlled by its shape and geometric parameters. However, the geometry changes with the progression of attrition wear, thereby increasing grinding temperature, grinding force and decreasing grinding efficiency. It is important to monitor the cutting condition of grit to confirm its state of wear. Acoustic emission (AE) signals have been widely used in monitoring cutting tool conditions and have been proven effective in detecting tool wear and failure. To identify the correlation between attrition wear and AE features, comparison tests were carried out with a pair of sharp and blunt grits scratching on hardened AISI4340 workpiece and the AE signals during the scratching process were obtained. The signals were analyzed in the time, frequency, and time-frequency domain The numbers of AE counts in the time domain differed for the sharp and blunt grits. It is also found that the proportions of AE energy in the frequency band of 0–90 kHz and 90–250 kHz differed was attributed to differences in strength of the various AE sources. The AE energy was further analyzed in time-frequency domain using discredit wavelet transform (DWT). The AE energy at certain decomposition level was extracted. A validation test was carried out with a worn grit. It was suggested that features associated with AE energy are appropriate for detecting attrition wear of grit, but the number of AE counts fluctuated owing to the complex friction behavior of the worn surfaces. The results of AE energy distribution in the time-frequency domain reveal that the amplitude of the AE energy deteriorates more rapidly when the grit is worn. Single grit grinding Attrition wear AE energy Frequency band Zhonghua, Yu aut Zhensheng, Yang aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 93(2017), 5-8 vom: 30. Juni, Seite 2275-2287 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:93 year:2017 number:5-8 day:30 month:06 pages:2275-2287 https://doi.org/10.1007/s00170-017-0687-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2018 GBV_ILN_2333 AR 93 2017 5-8 30 06 2275-2287 |
| allfields_unstemmed |
10.1007/s00170-017-0687-1 doi (DE-627)OLC2026109591 (DE-He213)s00170-017-0687-1-p DE-627 ger DE-627 rakwb eng 670 VZ Yiming, Mei verfasserin aut Experimental investigation of correlation between attrition wear and features of acoustic emission signals in single-grit grinding 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag London Ltd. 2017 Abstract The cutting performance of grit is controlled by its shape and geometric parameters. However, the geometry changes with the progression of attrition wear, thereby increasing grinding temperature, grinding force and decreasing grinding efficiency. It is important to monitor the cutting condition of grit to confirm its state of wear. Acoustic emission (AE) signals have been widely used in monitoring cutting tool conditions and have been proven effective in detecting tool wear and failure. To identify the correlation between attrition wear and AE features, comparison tests were carried out with a pair of sharp and blunt grits scratching on hardened AISI4340 workpiece and the AE signals during the scratching process were obtained. The signals were analyzed in the time, frequency, and time-frequency domain The numbers of AE counts in the time domain differed for the sharp and blunt grits. It is also found that the proportions of AE energy in the frequency band of 0–90 kHz and 90–250 kHz differed was attributed to differences in strength of the various AE sources. The AE energy was further analyzed in time-frequency domain using discredit wavelet transform (DWT). The AE energy at certain decomposition level was extracted. A validation test was carried out with a worn grit. It was suggested that features associated with AE energy are appropriate for detecting attrition wear of grit, but the number of AE counts fluctuated owing to the complex friction behavior of the worn surfaces. The results of AE energy distribution in the time-frequency domain reveal that the amplitude of the AE energy deteriorates more rapidly when the grit is worn. Single grit grinding Attrition wear AE energy Frequency band Zhonghua, Yu aut Zhensheng, Yang aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 93(2017), 5-8 vom: 30. Juni, Seite 2275-2287 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:93 year:2017 number:5-8 day:30 month:06 pages:2275-2287 https://doi.org/10.1007/s00170-017-0687-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2018 GBV_ILN_2333 AR 93 2017 5-8 30 06 2275-2287 |
| allfieldsGer |
10.1007/s00170-017-0687-1 doi (DE-627)OLC2026109591 (DE-He213)s00170-017-0687-1-p DE-627 ger DE-627 rakwb eng 670 VZ Yiming, Mei verfasserin aut Experimental investigation of correlation between attrition wear and features of acoustic emission signals in single-grit grinding 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag London Ltd. 2017 Abstract The cutting performance of grit is controlled by its shape and geometric parameters. However, the geometry changes with the progression of attrition wear, thereby increasing grinding temperature, grinding force and decreasing grinding efficiency. It is important to monitor the cutting condition of grit to confirm its state of wear. Acoustic emission (AE) signals have been widely used in monitoring cutting tool conditions and have been proven effective in detecting tool wear and failure. To identify the correlation between attrition wear and AE features, comparison tests were carried out with a pair of sharp and blunt grits scratching on hardened AISI4340 workpiece and the AE signals during the scratching process were obtained. The signals were analyzed in the time, frequency, and time-frequency domain The numbers of AE counts in the time domain differed for the sharp and blunt grits. It is also found that the proportions of AE energy in the frequency band of 0–90 kHz and 90–250 kHz differed was attributed to differences in strength of the various AE sources. The AE energy was further analyzed in time-frequency domain using discredit wavelet transform (DWT). The AE energy at certain decomposition level was extracted. A validation test was carried out with a worn grit. It was suggested that features associated with AE energy are appropriate for detecting attrition wear of grit, but the number of AE counts fluctuated owing to the complex friction behavior of the worn surfaces. The results of AE energy distribution in the time-frequency domain reveal that the amplitude of the AE energy deteriorates more rapidly when the grit is worn. Single grit grinding Attrition wear AE energy Frequency band Zhonghua, Yu aut Zhensheng, Yang aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 93(2017), 5-8 vom: 30. Juni, Seite 2275-2287 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:93 year:2017 number:5-8 day:30 month:06 pages:2275-2287 https://doi.org/10.1007/s00170-017-0687-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2018 GBV_ILN_2333 AR 93 2017 5-8 30 06 2275-2287 |
| allfieldsSound |
10.1007/s00170-017-0687-1 doi (DE-627)OLC2026109591 (DE-He213)s00170-017-0687-1-p DE-627 ger DE-627 rakwb eng 670 VZ Yiming, Mei verfasserin aut Experimental investigation of correlation between attrition wear and features of acoustic emission signals in single-grit grinding 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag London Ltd. 2017 Abstract The cutting performance of grit is controlled by its shape and geometric parameters. However, the geometry changes with the progression of attrition wear, thereby increasing grinding temperature, grinding force and decreasing grinding efficiency. It is important to monitor the cutting condition of grit to confirm its state of wear. Acoustic emission (AE) signals have been widely used in monitoring cutting tool conditions and have been proven effective in detecting tool wear and failure. To identify the correlation between attrition wear and AE features, comparison tests were carried out with a pair of sharp and blunt grits scratching on hardened AISI4340 workpiece and the AE signals during the scratching process were obtained. The signals were analyzed in the time, frequency, and time-frequency domain The numbers of AE counts in the time domain differed for the sharp and blunt grits. It is also found that the proportions of AE energy in the frequency band of 0–90 kHz and 90–250 kHz differed was attributed to differences in strength of the various AE sources. The AE energy was further analyzed in time-frequency domain using discredit wavelet transform (DWT). The AE energy at certain decomposition level was extracted. A validation test was carried out with a worn grit. It was suggested that features associated with AE energy are appropriate for detecting attrition wear of grit, but the number of AE counts fluctuated owing to the complex friction behavior of the worn surfaces. The results of AE energy distribution in the time-frequency domain reveal that the amplitude of the AE energy deteriorates more rapidly when the grit is worn. Single grit grinding Attrition wear AE energy Frequency band Zhonghua, Yu aut Zhensheng, Yang aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 93(2017), 5-8 vom: 30. Juni, Seite 2275-2287 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:93 year:2017 number:5-8 day:30 month:06 pages:2275-2287 https://doi.org/10.1007/s00170-017-0687-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2018 GBV_ILN_2333 AR 93 2017 5-8 30 06 2275-2287 |
| language |
English |
| source |
Enthalten in The international journal of advanced manufacturing technology 93(2017), 5-8 vom: 30. Juni, Seite 2275-2287 volume:93 year:2017 number:5-8 day:30 month:06 pages:2275-2287 |
| sourceStr |
Enthalten in The international journal of advanced manufacturing technology 93(2017), 5-8 vom: 30. Juni, Seite 2275-2287 volume:93 year:2017 number:5-8 day:30 month:06 pages:2275-2287 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
Single grit grinding Attrition wear AE energy Frequency band |
| dewey-raw |
670 |
| isfreeaccess_bool |
false |
| container_title |
The international journal of advanced manufacturing technology |
| authorswithroles_txt_mv |
Yiming, Mei @@aut@@ Zhonghua, Yu @@aut@@ Zhensheng, Yang @@aut@@ |
| publishDateDaySort_date |
2017-06-30T00:00:00Z |
| hierarchy_top_id |
129185299 |
| dewey-sort |
3670 |
| id |
OLC2026109591 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC2026109591</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230323141410.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200820s2017 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00170-017-0687-1</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2026109591</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s00170-017-0687-1-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">670</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Yiming, Mei</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Experimental investigation of correlation between attrition wear and features of acoustic emission signals in single-grit grinding</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2017</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer-Verlag London Ltd. 2017</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract The cutting performance of grit is controlled by its shape and geometric parameters. However, the geometry changes with the progression of attrition wear, thereby increasing grinding temperature, grinding force and decreasing grinding efficiency. It is important to monitor the cutting condition of grit to confirm its state of wear. Acoustic emission (AE) signals have been widely used in monitoring cutting tool conditions and have been proven effective in detecting tool wear and failure. To identify the correlation between attrition wear and AE features, comparison tests were carried out with a pair of sharp and blunt grits scratching on hardened AISI4340 workpiece and the AE signals during the scratching process were obtained. The signals were analyzed in the time, frequency, and time-frequency domain The numbers of AE counts in the time domain differed for the sharp and blunt grits. It is also found that the proportions of AE energy in the frequency band of 0–90 kHz and 90–250 kHz differed was attributed to differences in strength of the various AE sources. The AE energy was further analyzed in time-frequency domain using discredit wavelet transform (DWT). The AE energy at certain decomposition level was extracted. A validation test was carried out with a worn grit. It was suggested that features associated with AE energy are appropriate for detecting attrition wear of grit, but the number of AE counts fluctuated owing to the complex friction behavior of the worn surfaces. The results of AE energy distribution in the time-frequency domain reveal that the amplitude of the AE energy deteriorates more rapidly when the grit is worn.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Single grit grinding</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Attrition wear</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">AE energy</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Frequency band</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhonghua, Yu</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhensheng, Yang</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">The international journal of advanced manufacturing technology</subfield><subfield code="d">Springer London, 1985</subfield><subfield code="g">93(2017), 5-8 vom: 30. Juni, Seite 2275-2287</subfield><subfield code="w">(DE-627)129185299</subfield><subfield code="w">(DE-600)52651-4</subfield><subfield code="w">(DE-576)014456192</subfield><subfield code="x">0268-3768</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:93</subfield><subfield code="g">year:2017</subfield><subfield code="g">number:5-8</subfield><subfield code="g">day:30</subfield><subfield code="g">month:06</subfield><subfield code="g">pages:2275-2287</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s00170-017-0687-1</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-TEC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2018</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2333</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">93</subfield><subfield code="j">2017</subfield><subfield code="e">5-8</subfield><subfield code="b">30</subfield><subfield code="c">06</subfield><subfield code="h">2275-2287</subfield></datafield></record></collection>
|
| author |
Yiming, Mei |
| spellingShingle |
Yiming, Mei ddc 670 misc Single grit grinding misc Attrition wear misc AE energy misc Frequency band Experimental investigation of correlation between attrition wear and features of acoustic emission signals in single-grit grinding |
| authorStr |
Yiming, Mei |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)129185299 |
| format |
Article |
| dewey-ones |
670 - Manufacturing |
| delete_txt_mv |
keep |
| author_role |
aut aut aut |
| collection |
OLC |
| remote_str |
false |
| illustrated |
Not Illustrated |
| issn |
0268-3768 |
| topic_title |
670 VZ Experimental investigation of correlation between attrition wear and features of acoustic emission signals in single-grit grinding Single grit grinding Attrition wear AE energy Frequency band |
| topic |
ddc 670 misc Single grit grinding misc Attrition wear misc AE energy misc Frequency band |
| topic_unstemmed |
ddc 670 misc Single grit grinding misc Attrition wear misc AE energy misc Frequency band |
| topic_browse |
ddc 670 misc Single grit grinding misc Attrition wear misc AE energy misc Frequency band |
| format_facet |
Aufsätze Gedruckte Aufsätze |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
nc |
| hierarchy_parent_title |
The international journal of advanced manufacturing technology |
| hierarchy_parent_id |
129185299 |
| dewey-tens |
670 - Manufacturing |
| hierarchy_top_title |
The international journal of advanced manufacturing technology |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 |
| title |
Experimental investigation of correlation between attrition wear and features of acoustic emission signals in single-grit grinding |
| ctrlnum |
(DE-627)OLC2026109591 (DE-He213)s00170-017-0687-1-p |
| title_full |
Experimental investigation of correlation between attrition wear and features of acoustic emission signals in single-grit grinding |
| author_sort |
Yiming, Mei |
| journal |
The international journal of advanced manufacturing technology |
| journalStr |
The international journal of advanced manufacturing technology |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
600 - Technology |
| recordtype |
marc |
| publishDateSort |
2017 |
| contenttype_str_mv |
txt |
| container_start_page |
2275 |
| author_browse |
Yiming, Mei Zhonghua, Yu Zhensheng, Yang |
| container_volume |
93 |
| class |
670 VZ |
| format_se |
Aufsätze |
| author-letter |
Yiming, Mei |
| doi_str_mv |
10.1007/s00170-017-0687-1 |
| dewey-full |
670 |
| title_sort |
experimental investigation of correlation between attrition wear and features of acoustic emission signals in single-grit grinding |
| title_auth |
Experimental investigation of correlation between attrition wear and features of acoustic emission signals in single-grit grinding |
| abstract |
Abstract The cutting performance of grit is controlled by its shape and geometric parameters. However, the geometry changes with the progression of attrition wear, thereby increasing grinding temperature, grinding force and decreasing grinding efficiency. It is important to monitor the cutting condition of grit to confirm its state of wear. Acoustic emission (AE) signals have been widely used in monitoring cutting tool conditions and have been proven effective in detecting tool wear and failure. To identify the correlation between attrition wear and AE features, comparison tests were carried out with a pair of sharp and blunt grits scratching on hardened AISI4340 workpiece and the AE signals during the scratching process were obtained. The signals were analyzed in the time, frequency, and time-frequency domain The numbers of AE counts in the time domain differed for the sharp and blunt grits. It is also found that the proportions of AE energy in the frequency band of 0–90 kHz and 90–250 kHz differed was attributed to differences in strength of the various AE sources. The AE energy was further analyzed in time-frequency domain using discredit wavelet transform (DWT). The AE energy at certain decomposition level was extracted. A validation test was carried out with a worn grit. It was suggested that features associated with AE energy are appropriate for detecting attrition wear of grit, but the number of AE counts fluctuated owing to the complex friction behavior of the worn surfaces. The results of AE energy distribution in the time-frequency domain reveal that the amplitude of the AE energy deteriorates more rapidly when the grit is worn. © Springer-Verlag London Ltd. 2017 |
| abstractGer |
Abstract The cutting performance of grit is controlled by its shape and geometric parameters. However, the geometry changes with the progression of attrition wear, thereby increasing grinding temperature, grinding force and decreasing grinding efficiency. It is important to monitor the cutting condition of grit to confirm its state of wear. Acoustic emission (AE) signals have been widely used in monitoring cutting tool conditions and have been proven effective in detecting tool wear and failure. To identify the correlation between attrition wear and AE features, comparison tests were carried out with a pair of sharp and blunt grits scratching on hardened AISI4340 workpiece and the AE signals during the scratching process were obtained. The signals were analyzed in the time, frequency, and time-frequency domain The numbers of AE counts in the time domain differed for the sharp and blunt grits. It is also found that the proportions of AE energy in the frequency band of 0–90 kHz and 90–250 kHz differed was attributed to differences in strength of the various AE sources. The AE energy was further analyzed in time-frequency domain using discredit wavelet transform (DWT). The AE energy at certain decomposition level was extracted. A validation test was carried out with a worn grit. It was suggested that features associated with AE energy are appropriate for detecting attrition wear of grit, but the number of AE counts fluctuated owing to the complex friction behavior of the worn surfaces. The results of AE energy distribution in the time-frequency domain reveal that the amplitude of the AE energy deteriorates more rapidly when the grit is worn. © Springer-Verlag London Ltd. 2017 |
| abstract_unstemmed |
Abstract The cutting performance of grit is controlled by its shape and geometric parameters. However, the geometry changes with the progression of attrition wear, thereby increasing grinding temperature, grinding force and decreasing grinding efficiency. It is important to monitor the cutting condition of grit to confirm its state of wear. Acoustic emission (AE) signals have been widely used in monitoring cutting tool conditions and have been proven effective in detecting tool wear and failure. To identify the correlation between attrition wear and AE features, comparison tests were carried out with a pair of sharp and blunt grits scratching on hardened AISI4340 workpiece and the AE signals during the scratching process were obtained. The signals were analyzed in the time, frequency, and time-frequency domain The numbers of AE counts in the time domain differed for the sharp and blunt grits. It is also found that the proportions of AE energy in the frequency band of 0–90 kHz and 90–250 kHz differed was attributed to differences in strength of the various AE sources. The AE energy was further analyzed in time-frequency domain using discredit wavelet transform (DWT). The AE energy at certain decomposition level was extracted. A validation test was carried out with a worn grit. It was suggested that features associated with AE energy are appropriate for detecting attrition wear of grit, but the number of AE counts fluctuated owing to the complex friction behavior of the worn surfaces. The results of AE energy distribution in the time-frequency domain reveal that the amplitude of the AE energy deteriorates more rapidly when the grit is worn. © Springer-Verlag London Ltd. 2017 |
| collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2018 GBV_ILN_2333 |
| container_issue |
5-8 |
| title_short |
Experimental investigation of correlation between attrition wear and features of acoustic emission signals in single-grit grinding |
| url |
https://doi.org/10.1007/s00170-017-0687-1 |
| remote_bool |
false |
| author2 |
Zhonghua, Yu Zhensheng, Yang |
| author2Str |
Zhonghua, Yu Zhensheng, Yang |
| ppnlink |
129185299 |
| mediatype_str_mv |
n |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| doi_str |
10.1007/s00170-017-0687-1 |
| up_date |
2024-07-04T03:07:59.451Z |
| _version_ |
1803616234461200384 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC2026109591</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230323141410.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200820s2017 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00170-017-0687-1</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2026109591</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s00170-017-0687-1-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">670</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Yiming, Mei</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Experimental investigation of correlation between attrition wear and features of acoustic emission signals in single-grit grinding</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2017</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer-Verlag London Ltd. 2017</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract The cutting performance of grit is controlled by its shape and geometric parameters. However, the geometry changes with the progression of attrition wear, thereby increasing grinding temperature, grinding force and decreasing grinding efficiency. It is important to monitor the cutting condition of grit to confirm its state of wear. Acoustic emission (AE) signals have been widely used in monitoring cutting tool conditions and have been proven effective in detecting tool wear and failure. To identify the correlation between attrition wear and AE features, comparison tests were carried out with a pair of sharp and blunt grits scratching on hardened AISI4340 workpiece and the AE signals during the scratching process were obtained. The signals were analyzed in the time, frequency, and time-frequency domain The numbers of AE counts in the time domain differed for the sharp and blunt grits. It is also found that the proportions of AE energy in the frequency band of 0–90 kHz and 90–250 kHz differed was attributed to differences in strength of the various AE sources. The AE energy was further analyzed in time-frequency domain using discredit wavelet transform (DWT). The AE energy at certain decomposition level was extracted. A validation test was carried out with a worn grit. It was suggested that features associated with AE energy are appropriate for detecting attrition wear of grit, but the number of AE counts fluctuated owing to the complex friction behavior of the worn surfaces. The results of AE energy distribution in the time-frequency domain reveal that the amplitude of the AE energy deteriorates more rapidly when the grit is worn.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Single grit grinding</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Attrition wear</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">AE energy</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Frequency band</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhonghua, Yu</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhensheng, Yang</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">The international journal of advanced manufacturing technology</subfield><subfield code="d">Springer London, 1985</subfield><subfield code="g">93(2017), 5-8 vom: 30. Juni, Seite 2275-2287</subfield><subfield code="w">(DE-627)129185299</subfield><subfield code="w">(DE-600)52651-4</subfield><subfield code="w">(DE-576)014456192</subfield><subfield code="x">0268-3768</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:93</subfield><subfield code="g">year:2017</subfield><subfield code="g">number:5-8</subfield><subfield code="g">day:30</subfield><subfield code="g">month:06</subfield><subfield code="g">pages:2275-2287</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s00170-017-0687-1</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-TEC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2018</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2333</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">93</subfield><subfield code="j">2017</subfield><subfield code="e">5-8</subfield><subfield code="b">30</subfield><subfield code="c">06</subfield><subfield code="h">2275-2287</subfield></datafield></record></collection>
|
| score |
7.4006405 |