Cyclic stress-assisted surface diffusion and stress concentration of machined surface topography
•Analytical expressions to describe machined surface diffusion are derived.•The evolution of machined surface topography is characterized by three wavelengths.•A finite element approach is formulated and compared with analytical results. This paper presents an approach that allows modeling and simul...
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Veröffentlicht in: | Engineering fracture mechanics 2020-07, Vol.234, p.107087, Article 107087 |
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creator | Cheng, Zhengkun Zhang, Qing Wang, Dandan Lu, Wei |
description | •Analytical expressions to describe machined surface diffusion are derived.•The evolution of machined surface topography is characterized by three wavelengths.•A finite element approach is formulated and compared with analytical results.
This paper presents an approach that allows modeling and simulating the evolution of machined surface topography under cyclic load as a result of stress-induced surface diffusion. Both elastic strain energy and surface energy are included in the driving force. The analytical expressions of surface morphology and surface stress concentration factor are obtained by decomposing the surface morphology into Fourier series and superposing the evolution of each component. The results suggest that the evolution behavior under cyclic load is characterized by three wavelengths: the critical wavelength for growth, the critical wavelength for cusp, and the fastest growth wavelength. A finite element approach is formulated and implemented, which allows simulating conditions beyond shallow surface waviness. The comparison between analytical and numerical results confirms the applicability of our analytical solution for predicting surface topography as long as the surface waviness is relatively shallow comparing to its wavelength. The analytical form provides a powerful tool to quickly predict the growth of stress concentration factor for estimation of the service life. |
doi_str_mv | 10.1016/j.engfracmech.2020.107087 |
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This paper presents an approach that allows modeling and simulating the evolution of machined surface topography under cyclic load as a result of stress-induced surface diffusion. Both elastic strain energy and surface energy are included in the driving force. The analytical expressions of surface morphology and surface stress concentration factor are obtained by decomposing the surface morphology into Fourier series and superposing the evolution of each component. The results suggest that the evolution behavior under cyclic load is characterized by three wavelengths: the critical wavelength for growth, the critical wavelength for cusp, and the fastest growth wavelength. A finite element approach is formulated and implemented, which allows simulating conditions beyond shallow surface waviness. The comparison between analytical and numerical results confirms the applicability of our analytical solution for predicting surface topography as long as the surface waviness is relatively shallow comparing to its wavelength. The analytical form provides a powerful tool to quickly predict the growth of stress concentration factor for estimation of the service life.</description><identifier>ISSN: 0013-7944</identifier><identifier>EISSN: 1873-7315</identifier><identifier>DOI: 10.1016/j.engfracmech.2020.107087</identifier><language>eng</language><publisher>New York: Elsevier Ltd</publisher><subject>Computer simulation ; Cyclic loads ; Evolution ; Exact solutions ; Finite element approach ; Fourier series ; Machined surface topography ; Mathematical analysis ; Morphology ; Service life ; Strain ; Stress concentration ; Surface diffusion ; Surface energy ; Surface waviness ; Topography</subject><ispartof>Engineering fracture mechanics, 2020-07, Vol.234, p.107087, Article 107087</ispartof><rights>2020 Elsevier Ltd</rights><rights>Copyright Elsevier BV Jul 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c349t-365aadc247d31c9a4edca4230734ed68dc6ae4c88d1a792c3ac4d43ab7ce1d173</citedby><cites>FETCH-LOGICAL-c349t-365aadc247d31c9a4edca4230734ed68dc6ae4c88d1a792c3ac4d43ab7ce1d173</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.engfracmech.2020.107087$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3548,27923,27924,45994</link.rule.ids></links><search><creatorcontrib>Cheng, Zhengkun</creatorcontrib><creatorcontrib>Zhang, Qing</creatorcontrib><creatorcontrib>Wang, Dandan</creatorcontrib><creatorcontrib>Lu, Wei</creatorcontrib><title>Cyclic stress-assisted surface diffusion and stress concentration of machined surface topography</title><title>Engineering fracture mechanics</title><description>•Analytical expressions to describe machined surface diffusion are derived.•The evolution of machined surface topography is characterized by three wavelengths.•A finite element approach is formulated and compared with analytical results.
This paper presents an approach that allows modeling and simulating the evolution of machined surface topography under cyclic load as a result of stress-induced surface diffusion. Both elastic strain energy and surface energy are included in the driving force. The analytical expressions of surface morphology and surface stress concentration factor are obtained by decomposing the surface morphology into Fourier series and superposing the evolution of each component. The results suggest that the evolution behavior under cyclic load is characterized by three wavelengths: the critical wavelength for growth, the critical wavelength for cusp, and the fastest growth wavelength. A finite element approach is formulated and implemented, which allows simulating conditions beyond shallow surface waviness. The comparison between analytical and numerical results confirms the applicability of our analytical solution for predicting surface topography as long as the surface waviness is relatively shallow comparing to its wavelength. The analytical form provides a powerful tool to quickly predict the growth of stress concentration factor for estimation of the service life.</description><subject>Computer simulation</subject><subject>Cyclic loads</subject><subject>Evolution</subject><subject>Exact solutions</subject><subject>Finite element approach</subject><subject>Fourier series</subject><subject>Machined surface topography</subject><subject>Mathematical analysis</subject><subject>Morphology</subject><subject>Service life</subject><subject>Strain</subject><subject>Stress concentration</subject><subject>Surface diffusion</subject><subject>Surface energy</subject><subject>Surface waviness</subject><subject>Topography</subject><issn>0013-7944</issn><issn>1873-7315</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNqNkE9PwzAMxSMEEmPwHYo4dyRN1qRHVPFPmsQFzsE46ZZqa0qSIu3b06ocduTkJ_s9W_4RcsvoilFW3rcr222bAHiwuFsVtJj6kip5RhZMSZ5LztbnZEEpG3UlxCW5irGllMpS0QX5rI-4d5jFFGyMOcToYrImi0NoAG1mXNMM0fkug878uTL0HdouBUjTwDfZAXDnupNY8r3fBuh3x2ty0cA-2pu_uiQfT4_v9Uu-eXt-rR82OXJRpZyXawCDhZCGM6xAWIMgCk4lH2WpDJZgBSplGMiqQA4ojODwJdEywyRfkrt5bx_892Bj0q0fQjee1IUQTKlyXarRVc0uDD7GYBvdB3eAcNSM6gmobvUJUD0B1TPQMVvPWTu-8eNs0BGdHUkYFywmbbz7x5Zf34qHVQ</recordid><startdate>202007</startdate><enddate>202007</enddate><creator>Cheng, Zhengkun</creator><creator>Zhang, Qing</creator><creator>Wang, Dandan</creator><creator>Lu, Wei</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>7TB</scope><scope>8BQ</scope><scope>8FD</scope><scope>FR3</scope><scope>JG9</scope><scope>KR7</scope></search><sort><creationdate>202007</creationdate><title>Cyclic stress-assisted surface diffusion and stress concentration of machined surface topography</title><author>Cheng, Zhengkun ; Zhang, Qing ; Wang, Dandan ; Lu, Wei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c349t-365aadc247d31c9a4edca4230734ed68dc6ae4c88d1a792c3ac4d43ab7ce1d173</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Computer simulation</topic><topic>Cyclic loads</topic><topic>Evolution</topic><topic>Exact solutions</topic><topic>Finite element approach</topic><topic>Fourier series</topic><topic>Machined surface topography</topic><topic>Mathematical analysis</topic><topic>Morphology</topic><topic>Service life</topic><topic>Strain</topic><topic>Stress concentration</topic><topic>Surface diffusion</topic><topic>Surface energy</topic><topic>Surface waviness</topic><topic>Topography</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cheng, Zhengkun</creatorcontrib><creatorcontrib>Zhang, Qing</creatorcontrib><creatorcontrib>Wang, Dandan</creatorcontrib><creatorcontrib>Lu, Wei</creatorcontrib><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Materials Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Engineering fracture mechanics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cheng, Zhengkun</au><au>Zhang, Qing</au><au>Wang, Dandan</au><au>Lu, Wei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cyclic stress-assisted surface diffusion and stress concentration of machined surface topography</atitle><jtitle>Engineering fracture mechanics</jtitle><date>2020-07</date><risdate>2020</risdate><volume>234</volume><spage>107087</spage><pages>107087-</pages><artnum>107087</artnum><issn>0013-7944</issn><eissn>1873-7315</eissn><abstract>•Analytical expressions to describe machined surface diffusion are derived.•The evolution of machined surface topography is characterized by three wavelengths.•A finite element approach is formulated and compared with analytical results.
This paper presents an approach that allows modeling and simulating the evolution of machined surface topography under cyclic load as a result of stress-induced surface diffusion. Both elastic strain energy and surface energy are included in the driving force. The analytical expressions of surface morphology and surface stress concentration factor are obtained by decomposing the surface morphology into Fourier series and superposing the evolution of each component. The results suggest that the evolution behavior under cyclic load is characterized by three wavelengths: the critical wavelength for growth, the critical wavelength for cusp, and the fastest growth wavelength. A finite element approach is formulated and implemented, which allows simulating conditions beyond shallow surface waviness. The comparison between analytical and numerical results confirms the applicability of our analytical solution for predicting surface topography as long as the surface waviness is relatively shallow comparing to its wavelength. The analytical form provides a powerful tool to quickly predict the growth of stress concentration factor for estimation of the service life.</abstract><cop>New York</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.engfracmech.2020.107087</doi></addata></record> |
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subjects | Computer simulation Cyclic loads Evolution Exact solutions Finite element approach Fourier series Machined surface topography Mathematical analysis Morphology Service life Strain Stress concentration Surface diffusion Surface energy Surface waviness Topography |
title | Cyclic stress-assisted surface diffusion and stress concentration of machined surface topography |
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