Study on prediction of three-dimensional surface roughness of nano-ZrO2 ceramics under two-dimensional ultrasonic-assisted grinding
Ultrasonic-assisted grinding technology can significantly improve the processing quality of hard and brittle materials, with the continuous improvement of machining accuracy, and the three-dimensional roughness characterization of ultra-precision machined surfaces has gradually become a research hot...
Gespeichert in:
Veröffentlicht in: | International journal of advanced manufacturing technology 2021-02, Vol.112 (9-10), p.2623-2638 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 2638 |
---|---|
container_issue | 9-10 |
container_start_page | 2623 |
container_title | International journal of advanced manufacturing technology |
container_volume | 112 |
creator | Yan, Yanyan Zhang, Zhaoqing Zhao, Bo Liu, Junli |
description | Ultrasonic-assisted grinding technology can significantly improve the processing quality of hard and brittle materials, with the continuous improvement of machining accuracy, and the three-dimensional roughness characterization of ultra-precision machined surfaces has gradually become a research hotspot. However, it is necessary to develop a reliable three-dimensional roughness prediction model because the experimental measurement of three-dimensional roughness is time-consuming and laborious. In this study, the probabilistic analysis of the two-dimensional ultrasonic-assisted grinding (TUAG) process of nano-ZrO2 ceramics was carried out, and the influence of the random distribution, random prominence height, and unique motion trajectory of abrasive particles on the material removal mechanism of workpiece surface was explored. On that basis, a probabilistic calculation method for the height of residual material on the surface of nano-ZrO2 ceramics under TUAG was further proposed to obtain the more accurate height value which accords with the characteristics of three-dimensional roughness sampling. According to the obtained height value, the three-dimensional roughness prediction model of nano-ZrO2 ceramic under TUAG was developed. The accuracy and reliability of the theoretical model have been verified by the simulation analysis and the TUAG experiment of nano-ZrO2 ceramics, and this study can provide a new theoretical reference to evaluate and predict the quality of the ultra-precision machined surface of hard and brittle materials. |
doi_str_mv | 10.1007/s00170-020-06426-z |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2479576735</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2479576735</sourcerecordid><originalsourceid>FETCH-LOGICAL-c319t-688118c09b24dc37126b0d0bc4d94019dd4cd300f9a6cd053c747199446d04643</originalsourceid><addsrcrecordid>eNp9kD1LBDEQhoMoeJ7-AauAdXSyySW7pYhfIFiojU3IJdkzcpecmV1EW_-40RPExmKYYXieYXgJOeRwzAH0CQJwDQyaWko2ir1vkQmXQjABfLZNJtColgmt2l2yh_hcccVVOyEfd8Po32hOdF2Cj26Idcw9HZ5KCMzHVUhYV3ZJcSy9dYGWPC6eUkD8wpJNmT2W24a6UOwqOqRj8qHQ4TX_scflUCzmFB2ziBGH4OmixORjWuyTnd4uMRz89Cl5uDi_P7tiN7eX12enN8wJ3g1MtS3nrYNu3kjvhOaNmoOHuZO-k8A776XzAqDvrHIeZsJpqXnXSak8SCXFlBxt7q5LfhkDDuY5j6V-h6aRuptppcWsUs2GciUjltCbdYkrW94MB_MVttmEbWrY5jts814lsZGwwmkRyu_pf6xP4taEuA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2479576735</pqid></control><display><type>article</type><title>Study on prediction of three-dimensional surface roughness of nano-ZrO2 ceramics under two-dimensional ultrasonic-assisted grinding</title><source>SpringerNature Journals</source><creator>Yan, Yanyan ; Zhang, Zhaoqing ; Zhao, Bo ; Liu, Junli</creator><creatorcontrib>Yan, Yanyan ; Zhang, Zhaoqing ; Zhao, Bo ; Liu, Junli</creatorcontrib><description>Ultrasonic-assisted grinding technology can significantly improve the processing quality of hard and brittle materials, with the continuous improvement of machining accuracy, and the three-dimensional roughness characterization of ultra-precision machined surfaces has gradually become a research hotspot. However, it is necessary to develop a reliable three-dimensional roughness prediction model because the experimental measurement of three-dimensional roughness is time-consuming and laborious. In this study, the probabilistic analysis of the two-dimensional ultrasonic-assisted grinding (TUAG) process of nano-ZrO2 ceramics was carried out, and the influence of the random distribution, random prominence height, and unique motion trajectory of abrasive particles on the material removal mechanism of workpiece surface was explored. On that basis, a probabilistic calculation method for the height of residual material on the surface of nano-ZrO2 ceramics under TUAG was further proposed to obtain the more accurate height value which accords with the characteristics of three-dimensional roughness sampling. According to the obtained height value, the three-dimensional roughness prediction model of nano-ZrO2 ceramic under TUAG was developed. The accuracy and reliability of the theoretical model have been verified by the simulation analysis and the TUAG experiment of nano-ZrO2 ceramics, and this study can provide a new theoretical reference to evaluate and predict the quality of the ultra-precision machined surface of hard and brittle materials.</description><identifier>ISSN: 0268-3768</identifier><identifier>EISSN: 1433-3015</identifier><identifier>DOI: 10.1007/s00170-020-06426-z</identifier><language>eng</language><publisher>London: Springer London</publisher><subject>Brittle materials ; Brittleness ; CAE) and Design ; Ceramics ; Computer-Aided Engineering (CAD ; Continuous improvement ; Engineering ; Grinding ; Industrial and Production Engineering ; Machining ; Mechanical Engineering ; Media Management ; Model accuracy ; Original Article ; Prediction models ; Probabilistic analysis ; Probability theory ; Reliability analysis ; Surface roughness ; Three dimensional models ; Two dimensional analysis ; Workpieces ; Zirconium dioxide</subject><ispartof>International journal of advanced manufacturing technology, 2021-02, Vol.112 (9-10), p.2623-2638</ispartof><rights>Springer-Verlag London Ltd., part of Springer Nature 2021</rights><rights>Springer-Verlag London Ltd., part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-688118c09b24dc37126b0d0bc4d94019dd4cd300f9a6cd053c747199446d04643</citedby><cites>FETCH-LOGICAL-c319t-688118c09b24dc37126b0d0bc4d94019dd4cd300f9a6cd053c747199446d04643</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00170-020-06426-z$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00170-020-06426-z$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Yan, Yanyan</creatorcontrib><creatorcontrib>Zhang, Zhaoqing</creatorcontrib><creatorcontrib>Zhao, Bo</creatorcontrib><creatorcontrib>Liu, Junli</creatorcontrib><title>Study on prediction of three-dimensional surface roughness of nano-ZrO2 ceramics under two-dimensional ultrasonic-assisted grinding</title><title>International journal of advanced manufacturing technology</title><addtitle>Int J Adv Manuf Technol</addtitle><description>Ultrasonic-assisted grinding technology can significantly improve the processing quality of hard and brittle materials, with the continuous improvement of machining accuracy, and the three-dimensional roughness characterization of ultra-precision machined surfaces has gradually become a research hotspot. However, it is necessary to develop a reliable three-dimensional roughness prediction model because the experimental measurement of three-dimensional roughness is time-consuming and laborious. In this study, the probabilistic analysis of the two-dimensional ultrasonic-assisted grinding (TUAG) process of nano-ZrO2 ceramics was carried out, and the influence of the random distribution, random prominence height, and unique motion trajectory of abrasive particles on the material removal mechanism of workpiece surface was explored. On that basis, a probabilistic calculation method for the height of residual material on the surface of nano-ZrO2 ceramics under TUAG was further proposed to obtain the more accurate height value which accords with the characteristics of three-dimensional roughness sampling. According to the obtained height value, the three-dimensional roughness prediction model of nano-ZrO2 ceramic under TUAG was developed. The accuracy and reliability of the theoretical model have been verified by the simulation analysis and the TUAG experiment of nano-ZrO2 ceramics, and this study can provide a new theoretical reference to evaluate and predict the quality of the ultra-precision machined surface of hard and brittle materials.</description><subject>Brittle materials</subject><subject>Brittleness</subject><subject>CAE) and Design</subject><subject>Ceramics</subject><subject>Computer-Aided Engineering (CAD</subject><subject>Continuous improvement</subject><subject>Engineering</subject><subject>Grinding</subject><subject>Industrial and Production Engineering</subject><subject>Machining</subject><subject>Mechanical Engineering</subject><subject>Media Management</subject><subject>Model accuracy</subject><subject>Original Article</subject><subject>Prediction models</subject><subject>Probabilistic analysis</subject><subject>Probability theory</subject><subject>Reliability analysis</subject><subject>Surface roughness</subject><subject>Three dimensional models</subject><subject>Two dimensional analysis</subject><subject>Workpieces</subject><subject>Zirconium dioxide</subject><issn>0268-3768</issn><issn>1433-3015</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp9kD1LBDEQhoMoeJ7-AauAdXSyySW7pYhfIFiojU3IJdkzcpecmV1EW_-40RPExmKYYXieYXgJOeRwzAH0CQJwDQyaWko2ir1vkQmXQjABfLZNJtColgmt2l2yh_hcccVVOyEfd8Po32hOdF2Cj26Idcw9HZ5KCMzHVUhYV3ZJcSy9dYGWPC6eUkD8wpJNmT2W24a6UOwqOqRj8qHQ4TX_scflUCzmFB2ziBGH4OmixORjWuyTnd4uMRz89Cl5uDi_P7tiN7eX12enN8wJ3g1MtS3nrYNu3kjvhOaNmoOHuZO-k8A776XzAqDvrHIeZsJpqXnXSak8SCXFlBxt7q5LfhkDDuY5j6V-h6aRuptppcWsUs2GciUjltCbdYkrW94MB_MVttmEbWrY5jts814lsZGwwmkRyu_pf6xP4taEuA</recordid><startdate>20210201</startdate><enddate>20210201</enddate><creator>Yan, Yanyan</creator><creator>Zhang, Zhaoqing</creator><creator>Zhao, Bo</creator><creator>Liu, Junli</creator><general>Springer London</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20210201</creationdate><title>Study on prediction of three-dimensional surface roughness of nano-ZrO2 ceramics under two-dimensional ultrasonic-assisted grinding</title><author>Yan, Yanyan ; Zhang, Zhaoqing ; Zhao, Bo ; Liu, Junli</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-688118c09b24dc37126b0d0bc4d94019dd4cd300f9a6cd053c747199446d04643</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Brittle materials</topic><topic>Brittleness</topic><topic>CAE) and Design</topic><topic>Ceramics</topic><topic>Computer-Aided Engineering (CAD</topic><topic>Continuous improvement</topic><topic>Engineering</topic><topic>Grinding</topic><topic>Industrial and Production Engineering</topic><topic>Machining</topic><topic>Mechanical Engineering</topic><topic>Media Management</topic><topic>Model accuracy</topic><topic>Original Article</topic><topic>Prediction models</topic><topic>Probabilistic analysis</topic><topic>Probability theory</topic><topic>Reliability analysis</topic><topic>Surface roughness</topic><topic>Three dimensional models</topic><topic>Two dimensional analysis</topic><topic>Workpieces</topic><topic>Zirconium dioxide</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yan, Yanyan</creatorcontrib><creatorcontrib>Zhang, Zhaoqing</creatorcontrib><creatorcontrib>Zhao, Bo</creatorcontrib><creatorcontrib>Liu, Junli</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>International journal of advanced manufacturing technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yan, Yanyan</au><au>Zhang, Zhaoqing</au><au>Zhao, Bo</au><au>Liu, Junli</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Study on prediction of three-dimensional surface roughness of nano-ZrO2 ceramics under two-dimensional ultrasonic-assisted grinding</atitle><jtitle>International journal of advanced manufacturing technology</jtitle><stitle>Int J Adv Manuf Technol</stitle><date>2021-02-01</date><risdate>2021</risdate><volume>112</volume><issue>9-10</issue><spage>2623</spage><epage>2638</epage><pages>2623-2638</pages><issn>0268-3768</issn><eissn>1433-3015</eissn><abstract>Ultrasonic-assisted grinding technology can significantly improve the processing quality of hard and brittle materials, with the continuous improvement of machining accuracy, and the three-dimensional roughness characterization of ultra-precision machined surfaces has gradually become a research hotspot. However, it is necessary to develop a reliable three-dimensional roughness prediction model because the experimental measurement of three-dimensional roughness is time-consuming and laborious. In this study, the probabilistic analysis of the two-dimensional ultrasonic-assisted grinding (TUAG) process of nano-ZrO2 ceramics was carried out, and the influence of the random distribution, random prominence height, and unique motion trajectory of abrasive particles on the material removal mechanism of workpiece surface was explored. On that basis, a probabilistic calculation method for the height of residual material on the surface of nano-ZrO2 ceramics under TUAG was further proposed to obtain the more accurate height value which accords with the characteristics of three-dimensional roughness sampling. According to the obtained height value, the three-dimensional roughness prediction model of nano-ZrO2 ceramic under TUAG was developed. The accuracy and reliability of the theoretical model have been verified by the simulation analysis and the TUAG experiment of nano-ZrO2 ceramics, and this study can provide a new theoretical reference to evaluate and predict the quality of the ultra-precision machined surface of hard and brittle materials.</abstract><cop>London</cop><pub>Springer London</pub><doi>10.1007/s00170-020-06426-z</doi><tpages>16</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0268-3768 |
ispartof | International journal of advanced manufacturing technology, 2021-02, Vol.112 (9-10), p.2623-2638 |
issn | 0268-3768 1433-3015 |
language | eng |
recordid | cdi_proquest_journals_2479576735 |
source | SpringerNature Journals |
subjects | Brittle materials Brittleness CAE) and Design Ceramics Computer-Aided Engineering (CAD Continuous improvement Engineering Grinding Industrial and Production Engineering Machining Mechanical Engineering Media Management Model accuracy Original Article Prediction models Probabilistic analysis Probability theory Reliability analysis Surface roughness Three dimensional models Two dimensional analysis Workpieces Zirconium dioxide |
title | Study on prediction of three-dimensional surface roughness of nano-ZrO2 ceramics under two-dimensional ultrasonic-assisted grinding |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T18%3A48%3A59IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Study%20on%20prediction%20of%20three-dimensional%20surface%20roughness%20of%20nano-ZrO2%20ceramics%20under%20two-dimensional%20ultrasonic-assisted%20grinding&rft.jtitle=International%20journal%20of%20advanced%20manufacturing%20technology&rft.au=Yan,%20Yanyan&rft.date=2021-02-01&rft.volume=112&rft.issue=9-10&rft.spage=2623&rft.epage=2638&rft.pages=2623-2638&rft.issn=0268-3768&rft.eissn=1433-3015&rft_id=info:doi/10.1007/s00170-020-06426-z&rft_dat=%3Cproquest_cross%3E2479576735%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2479576735&rft_id=info:pmid/&rfr_iscdi=true |