Simulation of grinding surface topography considering wheel wear and wheel vibration

Abstract Grinding is widely used for machining high-precision parts, but grinding wheel wear and grinding wheel vibration significantly impact the surface quality of the parts in the process of machining. However, the effect of those two factors on the grinding surface has not been considered simult...
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Autor*in:	Feng, Ziqiang [verfasserIn] Yi, Huaian Shu, Aihua Tang, Liang

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Grinding process Simulation Wheel wear Wheel vibration

Anmerkung:	© The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Übergeordnetes Werk:	Enthalten in: The international journal of advanced manufacturing technology - London : Springer, 1985, 130(2023), 1-2 vom: 28. Nov., Seite 475-490
Übergeordnetes Werk:	volume:130 ; year:2023 ; number:1-2 ; day:28 ; month:11 ; pages:475-490

Links:	Volltext

DOI / URN:	10.1007/s00170-023-12675-5

Katalog-ID:	SPR05421310X

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520			\|a Abstract Grinding is widely used for machining high-precision parts, but grinding wheel wear and grinding wheel vibration significantly impact the surface quality of the parts in the process of machining. However, the effect of those two factors on the grinding surface has not been considered simultaneously in most grinding surface topography simulation studies. Hence, the paper conducts a simulation study of grinding surface topography with the consideration of the two factors. First, the actual topography of the grinding wheel surface is measured, and the surface topography of the grinding wheel is modeled accordingly. Second, the kinematic analysis of grinding is carried out and a mathematical model of grinding surface topography simulation, which involves grinding wheel wear and grinding wheel vibration, is constructed. Finally, grinding machining experiments are conducted to compare and analyze the surface topography and surface roughness of the actual and simulated grinding surfaces. The results show that the average relative errors of the four roughness parameter values between the simulated and actual grinding wheel surfaces are all below 2.5%. With the consideration of those two factors, the average relative errors of the surface roughness parameter values between the actual grinding surface and the corresponding simulated grinding surface are all less than 13.5%. This verifies the correctness and effectiveness of the method proposed in this paper. Improving the accuracy of the simulated grinding surface topography allows for better optimization of the selection of grinding machining parameters. It helps to precisely predict the surface topography and surface roughness of the grinding surface.
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allfields	10.1007/s00170-023-12675-5 doi (DE-627)SPR05421310X (SPR)s00170-023-12675-5-e DE-627 ger DE-627 rakwb eng Feng, Ziqiang verfasserin aut Simulation of grinding surface topography considering wheel wear and wheel vibration 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Grinding is widely used for machining high-precision parts, but grinding wheel wear and grinding wheel vibration significantly impact the surface quality of the parts in the process of machining. However, the effect of those two factors on the grinding surface has not been considered simultaneously in most grinding surface topography simulation studies. Hence, the paper conducts a simulation study of grinding surface topography with the consideration of the two factors. First, the actual topography of the grinding wheel surface is measured, and the surface topography of the grinding wheel is modeled accordingly. Second, the kinematic analysis of grinding is carried out and a mathematical model of grinding surface topography simulation, which involves grinding wheel wear and grinding wheel vibration, is constructed. Finally, grinding machining experiments are conducted to compare and analyze the surface topography and surface roughness of the actual and simulated grinding surfaces. The results show that the average relative errors of the four roughness parameter values between the simulated and actual grinding wheel surfaces are all below 2.5%. With the consideration of those two factors, the average relative errors of the surface roughness parameter values between the actual grinding surface and the corresponding simulated grinding surface are all less than 13.5%. This verifies the correctness and effectiveness of the method proposed in this paper. Improving the accuracy of the simulated grinding surface topography allows for better optimization of the selection of grinding machining parameters. It helps to precisely predict the surface topography and surface roughness of the grinding surface. Grinding process (dpeaa)DE-He213 Simulation (dpeaa)DE-He213 Wheel wear (dpeaa)DE-He213 Wheel vibration (dpeaa)DE-He213 Yi, Huaian aut Shu, Aihua aut Tang, Liang aut Enthalten in The international journal of advanced manufacturing technology London : Springer, 1985 130(2023), 1-2 vom: 28. Nov., Seite 475-490 (DE-627)270127712 (DE-600)1476510-X 1433-3015 nnns volume:130 year:2023 number:1-2 day:28 month:11 pages:475-490 https://dx.doi.org/10.1007/s00170-023-12675-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 130 2023 1-2 28 11 475-490
spelling	10.1007/s00170-023-12675-5 doi (DE-627)SPR05421310X (SPR)s00170-023-12675-5-e DE-627 ger DE-627 rakwb eng Feng, Ziqiang verfasserin aut Simulation of grinding surface topography considering wheel wear and wheel vibration 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Grinding is widely used for machining high-precision parts, but grinding wheel wear and grinding wheel vibration significantly impact the surface quality of the parts in the process of machining. However, the effect of those two factors on the grinding surface has not been considered simultaneously in most grinding surface topography simulation studies. Hence, the paper conducts a simulation study of grinding surface topography with the consideration of the two factors. First, the actual topography of the grinding wheel surface is measured, and the surface topography of the grinding wheel is modeled accordingly. Second, the kinematic analysis of grinding is carried out and a mathematical model of grinding surface topography simulation, which involves grinding wheel wear and grinding wheel vibration, is constructed. Finally, grinding machining experiments are conducted to compare and analyze the surface topography and surface roughness of the actual and simulated grinding surfaces. The results show that the average relative errors of the four roughness parameter values between the simulated and actual grinding wheel surfaces are all below 2.5%. With the consideration of those two factors, the average relative errors of the surface roughness parameter values between the actual grinding surface and the corresponding simulated grinding surface are all less than 13.5%. This verifies the correctness and effectiveness of the method proposed in this paper. Improving the accuracy of the simulated grinding surface topography allows for better optimization of the selection of grinding machining parameters. It helps to precisely predict the surface topography and surface roughness of the grinding surface. Grinding process (dpeaa)DE-He213 Simulation (dpeaa)DE-He213 Wheel wear (dpeaa)DE-He213 Wheel vibration (dpeaa)DE-He213 Yi, Huaian aut Shu, Aihua aut Tang, Liang aut Enthalten in The international journal of advanced manufacturing technology London : Springer, 1985 130(2023), 1-2 vom: 28. Nov., Seite 475-490 (DE-627)270127712 (DE-600)1476510-X 1433-3015 nnns volume:130 year:2023 number:1-2 day:28 month:11 pages:475-490 https://dx.doi.org/10.1007/s00170-023-12675-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 130 2023 1-2 28 11 475-490
allfields_unstemmed	10.1007/s00170-023-12675-5 doi (DE-627)SPR05421310X (SPR)s00170-023-12675-5-e DE-627 ger DE-627 rakwb eng Feng, Ziqiang verfasserin aut Simulation of grinding surface topography considering wheel wear and wheel vibration 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Grinding is widely used for machining high-precision parts, but grinding wheel wear and grinding wheel vibration significantly impact the surface quality of the parts in the process of machining. However, the effect of those two factors on the grinding surface has not been considered simultaneously in most grinding surface topography simulation studies. Hence, the paper conducts a simulation study of grinding surface topography with the consideration of the two factors. First, the actual topography of the grinding wheel surface is measured, and the surface topography of the grinding wheel is modeled accordingly. Second, the kinematic analysis of grinding is carried out and a mathematical model of grinding surface topography simulation, which involves grinding wheel wear and grinding wheel vibration, is constructed. Finally, grinding machining experiments are conducted to compare and analyze the surface topography and surface roughness of the actual and simulated grinding surfaces. The results show that the average relative errors of the four roughness parameter values between the simulated and actual grinding wheel surfaces are all below 2.5%. With the consideration of those two factors, the average relative errors of the surface roughness parameter values between the actual grinding surface and the corresponding simulated grinding surface are all less than 13.5%. This verifies the correctness and effectiveness of the method proposed in this paper. Improving the accuracy of the simulated grinding surface topography allows for better optimization of the selection of grinding machining parameters. It helps to precisely predict the surface topography and surface roughness of the grinding surface. Grinding process (dpeaa)DE-He213 Simulation (dpeaa)DE-He213 Wheel wear (dpeaa)DE-He213 Wheel vibration (dpeaa)DE-He213 Yi, Huaian aut Shu, Aihua aut Tang, Liang aut Enthalten in The international journal of advanced manufacturing technology London : Springer, 1985 130(2023), 1-2 vom: 28. Nov., Seite 475-490 (DE-627)270127712 (DE-600)1476510-X 1433-3015 nnns volume:130 year:2023 number:1-2 day:28 month:11 pages:475-490 https://dx.doi.org/10.1007/s00170-023-12675-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 130 2023 1-2 28 11 475-490
allfieldsGer	10.1007/s00170-023-12675-5 doi (DE-627)SPR05421310X (SPR)s00170-023-12675-5-e DE-627 ger DE-627 rakwb eng Feng, Ziqiang verfasserin aut Simulation of grinding surface topography considering wheel wear and wheel vibration 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Grinding is widely used for machining high-precision parts, but grinding wheel wear and grinding wheel vibration significantly impact the surface quality of the parts in the process of machining. However, the effect of those two factors on the grinding surface has not been considered simultaneously in most grinding surface topography simulation studies. Hence, the paper conducts a simulation study of grinding surface topography with the consideration of the two factors. First, the actual topography of the grinding wheel surface is measured, and the surface topography of the grinding wheel is modeled accordingly. Second, the kinematic analysis of grinding is carried out and a mathematical model of grinding surface topography simulation, which involves grinding wheel wear and grinding wheel vibration, is constructed. Finally, grinding machining experiments are conducted to compare and analyze the surface topography and surface roughness of the actual and simulated grinding surfaces. The results show that the average relative errors of the four roughness parameter values between the simulated and actual grinding wheel surfaces are all below 2.5%. With the consideration of those two factors, the average relative errors of the surface roughness parameter values between the actual grinding surface and the corresponding simulated grinding surface are all less than 13.5%. This verifies the correctness and effectiveness of the method proposed in this paper. Improving the accuracy of the simulated grinding surface topography allows for better optimization of the selection of grinding machining parameters. It helps to precisely predict the surface topography and surface roughness of the grinding surface. Grinding process (dpeaa)DE-He213 Simulation (dpeaa)DE-He213 Wheel wear (dpeaa)DE-He213 Wheel vibration (dpeaa)DE-He213 Yi, Huaian aut Shu, Aihua aut Tang, Liang aut Enthalten in The international journal of advanced manufacturing technology London : Springer, 1985 130(2023), 1-2 vom: 28. Nov., Seite 475-490 (DE-627)270127712 (DE-600)1476510-X 1433-3015 nnns volume:130 year:2023 number:1-2 day:28 month:11 pages:475-490 https://dx.doi.org/10.1007/s00170-023-12675-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 130 2023 1-2 28 11 475-490
allfieldsSound	10.1007/s00170-023-12675-5 doi (DE-627)SPR05421310X (SPR)s00170-023-12675-5-e DE-627 ger DE-627 rakwb eng Feng, Ziqiang verfasserin aut Simulation of grinding surface topography considering wheel wear and wheel vibration 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Grinding is widely used for machining high-precision parts, but grinding wheel wear and grinding wheel vibration significantly impact the surface quality of the parts in the process of machining. However, the effect of those two factors on the grinding surface has not been considered simultaneously in most grinding surface topography simulation studies. Hence, the paper conducts a simulation study of grinding surface topography with the consideration of the two factors. First, the actual topography of the grinding wheel surface is measured, and the surface topography of the grinding wheel is modeled accordingly. Second, the kinematic analysis of grinding is carried out and a mathematical model of grinding surface topography simulation, which involves grinding wheel wear and grinding wheel vibration, is constructed. Finally, grinding machining experiments are conducted to compare and analyze the surface topography and surface roughness of the actual and simulated grinding surfaces. The results show that the average relative errors of the four roughness parameter values between the simulated and actual grinding wheel surfaces are all below 2.5%. With the consideration of those two factors, the average relative errors of the surface roughness parameter values between the actual grinding surface and the corresponding simulated grinding surface are all less than 13.5%. This verifies the correctness and effectiveness of the method proposed in this paper. Improving the accuracy of the simulated grinding surface topography allows for better optimization of the selection of grinding machining parameters. It helps to precisely predict the surface topography and surface roughness of the grinding surface. Grinding process (dpeaa)DE-He213 Simulation (dpeaa)DE-He213 Wheel wear (dpeaa)DE-He213 Wheel vibration (dpeaa)DE-He213 Yi, Huaian aut Shu, Aihua aut Tang, Liang aut Enthalten in The international journal of advanced manufacturing technology London : Springer, 1985 130(2023), 1-2 vom: 28. Nov., Seite 475-490 (DE-627)270127712 (DE-600)1476510-X 1433-3015 nnns volume:130 year:2023 number:1-2 day:28 month:11 pages:475-490 https://dx.doi.org/10.1007/s00170-023-12675-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 130 2023 1-2 28 11 475-490
language	English
source	Enthalten in The international journal of advanced manufacturing technology 130(2023), 1-2 vom: 28. Nov., Seite 475-490 volume:130 year:2023 number:1-2 day:28 month:11 pages:475-490
sourceStr	Enthalten in The international journal of advanced manufacturing technology 130(2023), 1-2 vom: 28. Nov., Seite 475-490 volume:130 year:2023 number:1-2 day:28 month:11 pages:475-490
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topic_facet	Grinding process Simulation Wheel wear Wheel vibration
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authorswithroles_txt_mv	Feng, Ziqiang @@aut@@ Yi, Huaian @@aut@@ Shu, Aihua @@aut@@ Tang, Liang @@aut@@
publishDateDaySort_date	2023-11-28T00:00:00Z
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Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Grinding is widely used for machining high-precision parts, but grinding wheel wear and grinding wheel vibration significantly impact the surface quality of the parts in the process of machining. However, the effect of those two factors on the grinding surface has not been considered simultaneously in most grinding surface topography simulation studies. Hence, the paper conducts a simulation study of grinding surface topography with the consideration of the two factors. First, the actual topography of the grinding wheel surface is measured, and the surface topography of the grinding wheel is modeled accordingly. Second, the kinematic analysis of grinding is carried out and a mathematical model of grinding surface topography simulation, which involves grinding wheel wear and grinding wheel vibration, is constructed. Finally, grinding machining experiments are conducted to compare and analyze the surface topography and surface roughness of the actual and simulated grinding surfaces. The results show that the average relative errors of the four roughness parameter values between the simulated and actual grinding wheel surfaces are all below 2.5%. With the consideration of those two factors, the average relative errors of the surface roughness parameter values between the actual grinding surface and the corresponding simulated grinding surface are all less than 13.5%. This verifies the correctness and effectiveness of the method proposed in this paper. 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author	Feng, Ziqiang
spellingShingle	Feng, Ziqiang misc Grinding process misc Simulation misc Wheel wear misc Wheel vibration Simulation of grinding surface topography considering wheel wear and wheel vibration
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topic_title	Simulation of grinding surface topography considering wheel wear and wheel vibration Grinding process (dpeaa)DE-He213 Simulation (dpeaa)DE-He213 Wheel wear (dpeaa)DE-He213 Wheel vibration (dpeaa)DE-He213
topic	misc Grinding process misc Simulation misc Wheel wear misc Wheel vibration
topic_unstemmed	misc Grinding process misc Simulation misc Wheel wear misc Wheel vibration
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title	Simulation of grinding surface topography considering wheel wear and wheel vibration
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title_full	Simulation of grinding surface topography considering wheel wear and wheel vibration
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author_browse	Feng, Ziqiang Yi, Huaian Shu, Aihua Tang, Liang
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doi_str_mv	10.1007/s00170-023-12675-5
title_sort	simulation of grinding surface topography considering wheel wear and wheel vibration
title_auth	Simulation of grinding surface topography considering wheel wear and wheel vibration
abstract	Abstract Grinding is widely used for machining high-precision parts, but grinding wheel wear and grinding wheel vibration significantly impact the surface quality of the parts in the process of machining. However, the effect of those two factors on the grinding surface has not been considered simultaneously in most grinding surface topography simulation studies. Hence, the paper conducts a simulation study of grinding surface topography with the consideration of the two factors. First, the actual topography of the grinding wheel surface is measured, and the surface topography of the grinding wheel is modeled accordingly. Second, the kinematic analysis of grinding is carried out and a mathematical model of grinding surface topography simulation, which involves grinding wheel wear and grinding wheel vibration, is constructed. Finally, grinding machining experiments are conducted to compare and analyze the surface topography and surface roughness of the actual and simulated grinding surfaces. The results show that the average relative errors of the four roughness parameter values between the simulated and actual grinding wheel surfaces are all below 2.5%. With the consideration of those two factors, the average relative errors of the surface roughness parameter values between the actual grinding surface and the corresponding simulated grinding surface are all less than 13.5%. This verifies the correctness and effectiveness of the method proposed in this paper. Improving the accuracy of the simulated grinding surface topography allows for better optimization of the selection of grinding machining parameters. It helps to precisely predict the surface topography and surface roughness of the grinding surface. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
abstractGer	Abstract Grinding is widely used for machining high-precision parts, but grinding wheel wear and grinding wheel vibration significantly impact the surface quality of the parts in the process of machining. However, the effect of those two factors on the grinding surface has not been considered simultaneously in most grinding surface topography simulation studies. Hence, the paper conducts a simulation study of grinding surface topography with the consideration of the two factors. First, the actual topography of the grinding wheel surface is measured, and the surface topography of the grinding wheel is modeled accordingly. Second, the kinematic analysis of grinding is carried out and a mathematical model of grinding surface topography simulation, which involves grinding wheel wear and grinding wheel vibration, is constructed. Finally, grinding machining experiments are conducted to compare and analyze the surface topography and surface roughness of the actual and simulated grinding surfaces. The results show that the average relative errors of the four roughness parameter values between the simulated and actual grinding wheel surfaces are all below 2.5%. With the consideration of those two factors, the average relative errors of the surface roughness parameter values between the actual grinding surface and the corresponding simulated grinding surface are all less than 13.5%. This verifies the correctness and effectiveness of the method proposed in this paper. Improving the accuracy of the simulated grinding surface topography allows for better optimization of the selection of grinding machining parameters. It helps to precisely predict the surface topography and surface roughness of the grinding surface. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
abstract_unstemmed	Abstract Grinding is widely used for machining high-precision parts, but grinding wheel wear and grinding wheel vibration significantly impact the surface quality of the parts in the process of machining. However, the effect of those two factors on the grinding surface has not been considered simultaneously in most grinding surface topography simulation studies. Hence, the paper conducts a simulation study of grinding surface topography with the consideration of the two factors. First, the actual topography of the grinding wheel surface is measured, and the surface topography of the grinding wheel is modeled accordingly. Second, the kinematic analysis of grinding is carried out and a mathematical model of grinding surface topography simulation, which involves grinding wheel wear and grinding wheel vibration, is constructed. Finally, grinding machining experiments are conducted to compare and analyze the surface topography and surface roughness of the actual and simulated grinding surfaces. The results show that the average relative errors of the four roughness parameter values between the simulated and actual grinding wheel surfaces are all below 2.5%. With the consideration of those two factors, the average relative errors of the surface roughness parameter values between the actual grinding surface and the corresponding simulated grinding surface are all less than 13.5%. This verifies the correctness and effectiveness of the method proposed in this paper. Improving the accuracy of the simulated grinding surface topography allows for better optimization of the selection of grinding machining parameters. It helps to precisely predict the surface topography and surface roughness of the grinding surface. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
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title_short	Simulation of grinding surface topography considering wheel wear and wheel vibration
url	https://dx.doi.org/10.1007/s00170-023-12675-5
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author2	Yi, Huaian Shu, Aihua Tang, Liang
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up_date	2024-07-04T00:30:05.270Z
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fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">SPR05421310X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20240102064609.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">240102s2023 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00170-023-12675-5</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR05421310X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s00170-023-12675-5-e</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="100" ind1="1" ind2=" "><subfield code="a">Feng, Ziqiang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Simulation of grinding surface topography considering wheel wear and wheel vibration</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2023</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">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Grinding is widely used for machining high-precision parts, but grinding wheel wear and grinding wheel vibration significantly impact the surface quality of the parts in the process of machining. However, the effect of those two factors on the grinding surface has not been considered simultaneously in most grinding surface topography simulation studies. Hence, the paper conducts a simulation study of grinding surface topography with the consideration of the two factors. First, the actual topography of the grinding wheel surface is measured, and the surface topography of the grinding wheel is modeled accordingly. Second, the kinematic analysis of grinding is carried out and a mathematical model of grinding surface topography simulation, which involves grinding wheel wear and grinding wheel vibration, is constructed. Finally, grinding machining experiments are conducted to compare and analyze the surface topography and surface roughness of the actual and simulated grinding surfaces. The results show that the average relative errors of the four roughness parameter values between the simulated and actual grinding wheel surfaces are all below 2.5%. With the consideration of those two factors, the average relative errors of the surface roughness parameter values between the actual grinding surface and the corresponding simulated grinding surface are all less than 13.5%. This verifies the correctness and effectiveness of the method proposed in this paper. Improving the accuracy of the simulated grinding surface topography allows for better optimization of the selection of grinding machining parameters. It helps to precisely predict the surface topography and surface roughness of the grinding surface.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Grinding process</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Simulation</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Wheel wear</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Wheel vibration</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Yi, Huaian</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Shu, Aihua</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Tang, Liang</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">London : Springer, 1985</subfield><subfield code="g">130(2023), 1-2 vom: 28. 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