Development and theoretical analysis of novel surface adaptive polishing process for high-efficiency polishing of optical freeform surface
A novel surface adaptive polishing (SAP) process is initially proposed to efficiently improve the surface accuracy of optical freeform surfaces while suppressing their surface and subsurface damage. A multiscale theoretical model is developed to predict the generation of surface microtopography. Thi...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Jiannan, Zhou [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022transfer abstract |
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| Umfang: |
13 |
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| Übergeordnetes Werk: |
Enthalten in: Tilting at windmills? Electoral repercussions of wind turbine projects in Minnesota - Bayulgen, Oksan ELSEVIER, 2021, Dearborn, Mich |
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| Übergeordnetes Werk: |
volume:80 ; year:2022 ; pages:874-886 ; extent:13 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.jmapro.2022.06.038 |
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ELV05831573X |
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| 520 | |a A novel surface adaptive polishing (SAP) process is initially proposed to efficiently improve the surface accuracy of optical freeform surfaces while suppressing their surface and subsurface damage. A multiscale theoretical model is developed to predict the generation of surface microtopography. This model captures considerable fundamental physics of the SAP process, such as the variable curvature characteristics of the workpiece surface, the surface topography of pad, the brittle-ductile removal effect of materials, and the trochoidal motion trajectories of polishing tool. The feasibility and accuracy of the model were quantitatively analyzed through a series of experiments. Moreover, the influence mechanism of process parameters on surface morphology and subsurface damage was studied. The simulated results by the theoretical model agree well with the experimental data, and maximum relative errors of material removal rate (MRR) and surface roughness Sa are 3.91 % and 1.38 %, respectively. Results indicated that the SAP process can produce axisymmetric Gaussian removal functions, significantly remove the damage layer, and improve the surface quality while avoiding the generation of periodic surface textures. The increase in the tool offset changes the material removal mode from ductile to brittle mode, resulting in a higher MRR and Sa. In addition, the Taguchi simulation experiments are conducted to quantitatively evaluate the significance of the process parameters. | ||
| 520 | |a A novel surface adaptive polishing (SAP) process is initially proposed to efficiently improve the surface accuracy of optical freeform surfaces while suppressing their surface and subsurface damage. A multiscale theoretical model is developed to predict the generation of surface microtopography. This model captures considerable fundamental physics of the SAP process, such as the variable curvature characteristics of the workpiece surface, the surface topography of pad, the brittle-ductile removal effect of materials, and the trochoidal motion trajectories of polishing tool. The feasibility and accuracy of the model were quantitatively analyzed through a series of experiments. Moreover, the influence mechanism of process parameters on surface morphology and subsurface damage was studied. The simulated results by the theoretical model agree well with the experimental data, and maximum relative errors of material removal rate (MRR) and surface roughness Sa are 3.91 % and 1.38 %, respectively. Results indicated that the SAP process can produce axisymmetric Gaussian removal functions, significantly remove the damage layer, and improve the surface quality while avoiding the generation of periodic surface textures. The increase in the tool offset changes the material removal mode from ductile to brittle mode, resulting in a higher MRR and Sa. In addition, the Taguchi simulation experiments are conducted to quantitatively evaluate the significance of the process parameters. | ||
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10.1016/j.jmapro.2022.06.038 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001827.pica (DE-627)ELV05831573X (ELSEVIER)S1526-6125(22)00421-2 DE-627 ger DE-627 rakwb eng 620 VZ 83.65 bkl Jiannan, Zhou verfasserin aut Development and theoretical analysis of novel surface adaptive polishing process for high-efficiency polishing of optical freeform surface 2022transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier A novel surface adaptive polishing (SAP) process is initially proposed to efficiently improve the surface accuracy of optical freeform surfaces while suppressing their surface and subsurface damage. A multiscale theoretical model is developed to predict the generation of surface microtopography. This model captures considerable fundamental physics of the SAP process, such as the variable curvature characteristics of the workpiece surface, the surface topography of pad, the brittle-ductile removal effect of materials, and the trochoidal motion trajectories of polishing tool. The feasibility and accuracy of the model were quantitatively analyzed through a series of experiments. Moreover, the influence mechanism of process parameters on surface morphology and subsurface damage was studied. The simulated results by the theoretical model agree well with the experimental data, and maximum relative errors of material removal rate (MRR) and surface roughness Sa are 3.91 % and 1.38 %, respectively. Results indicated that the SAP process can produce axisymmetric Gaussian removal functions, significantly remove the damage layer, and improve the surface quality while avoiding the generation of periodic surface textures. The increase in the tool offset changes the material removal mode from ductile to brittle mode, resulting in a higher MRR and Sa. In addition, the Taguchi simulation experiments are conducted to quantitatively evaluate the significance of the process parameters. A novel surface adaptive polishing (SAP) process is initially proposed to efficiently improve the surface accuracy of optical freeform surfaces while suppressing their surface and subsurface damage. A multiscale theoretical model is developed to predict the generation of surface microtopography. This model captures considerable fundamental physics of the SAP process, such as the variable curvature characteristics of the workpiece surface, the surface topography of pad, the brittle-ductile removal effect of materials, and the trochoidal motion trajectories of polishing tool. The feasibility and accuracy of the model were quantitatively analyzed through a series of experiments. Moreover, the influence mechanism of process parameters on surface morphology and subsurface damage was studied. The simulated results by the theoretical model agree well with the experimental data, and maximum relative errors of material removal rate (MRR) and surface roughness Sa are 3.91 % and 1.38 %, respectively. Results indicated that the SAP process can produce axisymmetric Gaussian removal functions, significantly remove the damage layer, and improve the surface quality while avoiding the generation of periodic surface textures. The increase in the tool offset changes the material removal mode from ductile to brittle mode, resulting in a higher MRR and Sa. In addition, the Taguchi simulation experiments are conducted to quantitatively evaluate the significance of the process parameters. Zhong-Chen, Cao oth Junpeng, Zhang oth Chenyao, Zhao oth Haitao, Liu oth Enthalten in Soc Bayulgen, Oksan ELSEVIER Tilting at windmills? Electoral repercussions of wind turbine projects in Minnesota 2021 Dearborn, Mich (DE-627)ELV00685088X volume:80 year:2022 pages:874-886 extent:13 https://doi.org/10.1016/j.jmapro.2022.06.038 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 83.65 Versorgungswirtschaft VZ AR 80 2022 874-886 13 |
| spelling |
10.1016/j.jmapro.2022.06.038 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001827.pica (DE-627)ELV05831573X (ELSEVIER)S1526-6125(22)00421-2 DE-627 ger DE-627 rakwb eng 620 VZ 83.65 bkl Jiannan, Zhou verfasserin aut Development and theoretical analysis of novel surface adaptive polishing process for high-efficiency polishing of optical freeform surface 2022transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier A novel surface adaptive polishing (SAP) process is initially proposed to efficiently improve the surface accuracy of optical freeform surfaces while suppressing their surface and subsurface damage. A multiscale theoretical model is developed to predict the generation of surface microtopography. This model captures considerable fundamental physics of the SAP process, such as the variable curvature characteristics of the workpiece surface, the surface topography of pad, the brittle-ductile removal effect of materials, and the trochoidal motion trajectories of polishing tool. The feasibility and accuracy of the model were quantitatively analyzed through a series of experiments. Moreover, the influence mechanism of process parameters on surface morphology and subsurface damage was studied. The simulated results by the theoretical model agree well with the experimental data, and maximum relative errors of material removal rate (MRR) and surface roughness Sa are 3.91 % and 1.38 %, respectively. Results indicated that the SAP process can produce axisymmetric Gaussian removal functions, significantly remove the damage layer, and improve the surface quality while avoiding the generation of periodic surface textures. The increase in the tool offset changes the material removal mode from ductile to brittle mode, resulting in a higher MRR and Sa. In addition, the Taguchi simulation experiments are conducted to quantitatively evaluate the significance of the process parameters. A novel surface adaptive polishing (SAP) process is initially proposed to efficiently improve the surface accuracy of optical freeform surfaces while suppressing their surface and subsurface damage. A multiscale theoretical model is developed to predict the generation of surface microtopography. This model captures considerable fundamental physics of the SAP process, such as the variable curvature characteristics of the workpiece surface, the surface topography of pad, the brittle-ductile removal effect of materials, and the trochoidal motion trajectories of polishing tool. The feasibility and accuracy of the model were quantitatively analyzed through a series of experiments. Moreover, the influence mechanism of process parameters on surface morphology and subsurface damage was studied. The simulated results by the theoretical model agree well with the experimental data, and maximum relative errors of material removal rate (MRR) and surface roughness Sa are 3.91 % and 1.38 %, respectively. Results indicated that the SAP process can produce axisymmetric Gaussian removal functions, significantly remove the damage layer, and improve the surface quality while avoiding the generation of periodic surface textures. The increase in the tool offset changes the material removal mode from ductile to brittle mode, resulting in a higher MRR and Sa. In addition, the Taguchi simulation experiments are conducted to quantitatively evaluate the significance of the process parameters. Zhong-Chen, Cao oth Junpeng, Zhang oth Chenyao, Zhao oth Haitao, Liu oth Enthalten in Soc Bayulgen, Oksan ELSEVIER Tilting at windmills? Electoral repercussions of wind turbine projects in Minnesota 2021 Dearborn, Mich (DE-627)ELV00685088X volume:80 year:2022 pages:874-886 extent:13 https://doi.org/10.1016/j.jmapro.2022.06.038 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 83.65 Versorgungswirtschaft VZ AR 80 2022 874-886 13 |
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10.1016/j.jmapro.2022.06.038 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001827.pica (DE-627)ELV05831573X (ELSEVIER)S1526-6125(22)00421-2 DE-627 ger DE-627 rakwb eng 620 VZ 83.65 bkl Jiannan, Zhou verfasserin aut Development and theoretical analysis of novel surface adaptive polishing process for high-efficiency polishing of optical freeform surface 2022transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier A novel surface adaptive polishing (SAP) process is initially proposed to efficiently improve the surface accuracy of optical freeform surfaces while suppressing their surface and subsurface damage. A multiscale theoretical model is developed to predict the generation of surface microtopography. This model captures considerable fundamental physics of the SAP process, such as the variable curvature characteristics of the workpiece surface, the surface topography of pad, the brittle-ductile removal effect of materials, and the trochoidal motion trajectories of polishing tool. The feasibility and accuracy of the model were quantitatively analyzed through a series of experiments. Moreover, the influence mechanism of process parameters on surface morphology and subsurface damage was studied. The simulated results by the theoretical model agree well with the experimental data, and maximum relative errors of material removal rate (MRR) and surface roughness Sa are 3.91 % and 1.38 %, respectively. Results indicated that the SAP process can produce axisymmetric Gaussian removal functions, significantly remove the damage layer, and improve the surface quality while avoiding the generation of periodic surface textures. The increase in the tool offset changes the material removal mode from ductile to brittle mode, resulting in a higher MRR and Sa. In addition, the Taguchi simulation experiments are conducted to quantitatively evaluate the significance of the process parameters. A novel surface adaptive polishing (SAP) process is initially proposed to efficiently improve the surface accuracy of optical freeform surfaces while suppressing their surface and subsurface damage. A multiscale theoretical model is developed to predict the generation of surface microtopography. This model captures considerable fundamental physics of the SAP process, such as the variable curvature characteristics of the workpiece surface, the surface topography of pad, the brittle-ductile removal effect of materials, and the trochoidal motion trajectories of polishing tool. The feasibility and accuracy of the model were quantitatively analyzed through a series of experiments. Moreover, the influence mechanism of process parameters on surface morphology and subsurface damage was studied. The simulated results by the theoretical model agree well with the experimental data, and maximum relative errors of material removal rate (MRR) and surface roughness Sa are 3.91 % and 1.38 %, respectively. Results indicated that the SAP process can produce axisymmetric Gaussian removal functions, significantly remove the damage layer, and improve the surface quality while avoiding the generation of periodic surface textures. The increase in the tool offset changes the material removal mode from ductile to brittle mode, resulting in a higher MRR and Sa. In addition, the Taguchi simulation experiments are conducted to quantitatively evaluate the significance of the process parameters. Zhong-Chen, Cao oth Junpeng, Zhang oth Chenyao, Zhao oth Haitao, Liu oth Enthalten in Soc Bayulgen, Oksan ELSEVIER Tilting at windmills? Electoral repercussions of wind turbine projects in Minnesota 2021 Dearborn, Mich (DE-627)ELV00685088X volume:80 year:2022 pages:874-886 extent:13 https://doi.org/10.1016/j.jmapro.2022.06.038 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 83.65 Versorgungswirtschaft VZ AR 80 2022 874-886 13 |
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10.1016/j.jmapro.2022.06.038 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001827.pica (DE-627)ELV05831573X (ELSEVIER)S1526-6125(22)00421-2 DE-627 ger DE-627 rakwb eng 620 VZ 83.65 bkl Jiannan, Zhou verfasserin aut Development and theoretical analysis of novel surface adaptive polishing process for high-efficiency polishing of optical freeform surface 2022transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier A novel surface adaptive polishing (SAP) process is initially proposed to efficiently improve the surface accuracy of optical freeform surfaces while suppressing their surface and subsurface damage. A multiscale theoretical model is developed to predict the generation of surface microtopography. This model captures considerable fundamental physics of the SAP process, such as the variable curvature characteristics of the workpiece surface, the surface topography of pad, the brittle-ductile removal effect of materials, and the trochoidal motion trajectories of polishing tool. The feasibility and accuracy of the model were quantitatively analyzed through a series of experiments. Moreover, the influence mechanism of process parameters on surface morphology and subsurface damage was studied. The simulated results by the theoretical model agree well with the experimental data, and maximum relative errors of material removal rate (MRR) and surface roughness Sa are 3.91 % and 1.38 %, respectively. Results indicated that the SAP process can produce axisymmetric Gaussian removal functions, significantly remove the damage layer, and improve the surface quality while avoiding the generation of periodic surface textures. The increase in the tool offset changes the material removal mode from ductile to brittle mode, resulting in a higher MRR and Sa. In addition, the Taguchi simulation experiments are conducted to quantitatively evaluate the significance of the process parameters. A novel surface adaptive polishing (SAP) process is initially proposed to efficiently improve the surface accuracy of optical freeform surfaces while suppressing their surface and subsurface damage. A multiscale theoretical model is developed to predict the generation of surface microtopography. This model captures considerable fundamental physics of the SAP process, such as the variable curvature characteristics of the workpiece surface, the surface topography of pad, the brittle-ductile removal effect of materials, and the trochoidal motion trajectories of polishing tool. The feasibility and accuracy of the model were quantitatively analyzed through a series of experiments. Moreover, the influence mechanism of process parameters on surface morphology and subsurface damage was studied. The simulated results by the theoretical model agree well with the experimental data, and maximum relative errors of material removal rate (MRR) and surface roughness Sa are 3.91 % and 1.38 %, respectively. Results indicated that the SAP process can produce axisymmetric Gaussian removal functions, significantly remove the damage layer, and improve the surface quality while avoiding the generation of periodic surface textures. The increase in the tool offset changes the material removal mode from ductile to brittle mode, resulting in a higher MRR and Sa. In addition, the Taguchi simulation experiments are conducted to quantitatively evaluate the significance of the process parameters. Zhong-Chen, Cao oth Junpeng, Zhang oth Chenyao, Zhao oth Haitao, Liu oth Enthalten in Soc Bayulgen, Oksan ELSEVIER Tilting at windmills? Electoral repercussions of wind turbine projects in Minnesota 2021 Dearborn, Mich (DE-627)ELV00685088X volume:80 year:2022 pages:874-886 extent:13 https://doi.org/10.1016/j.jmapro.2022.06.038 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 83.65 Versorgungswirtschaft VZ AR 80 2022 874-886 13 |
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10.1016/j.jmapro.2022.06.038 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001827.pica (DE-627)ELV05831573X (ELSEVIER)S1526-6125(22)00421-2 DE-627 ger DE-627 rakwb eng 620 VZ 83.65 bkl Jiannan, Zhou verfasserin aut Development and theoretical analysis of novel surface adaptive polishing process for high-efficiency polishing of optical freeform surface 2022transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier A novel surface adaptive polishing (SAP) process is initially proposed to efficiently improve the surface accuracy of optical freeform surfaces while suppressing their surface and subsurface damage. A multiscale theoretical model is developed to predict the generation of surface microtopography. This model captures considerable fundamental physics of the SAP process, such as the variable curvature characteristics of the workpiece surface, the surface topography of pad, the brittle-ductile removal effect of materials, and the trochoidal motion trajectories of polishing tool. The feasibility and accuracy of the model were quantitatively analyzed through a series of experiments. Moreover, the influence mechanism of process parameters on surface morphology and subsurface damage was studied. The simulated results by the theoretical model agree well with the experimental data, and maximum relative errors of material removal rate (MRR) and surface roughness Sa are 3.91 % and 1.38 %, respectively. Results indicated that the SAP process can produce axisymmetric Gaussian removal functions, significantly remove the damage layer, and improve the surface quality while avoiding the generation of periodic surface textures. The increase in the tool offset changes the material removal mode from ductile to brittle mode, resulting in a higher MRR and Sa. In addition, the Taguchi simulation experiments are conducted to quantitatively evaluate the significance of the process parameters. A novel surface adaptive polishing (SAP) process is initially proposed to efficiently improve the surface accuracy of optical freeform surfaces while suppressing their surface and subsurface damage. A multiscale theoretical model is developed to predict the generation of surface microtopography. This model captures considerable fundamental physics of the SAP process, such as the variable curvature characteristics of the workpiece surface, the surface topography of pad, the brittle-ductile removal effect of materials, and the trochoidal motion trajectories of polishing tool. The feasibility and accuracy of the model were quantitatively analyzed through a series of experiments. Moreover, the influence mechanism of process parameters on surface morphology and subsurface damage was studied. The simulated results by the theoretical model agree well with the experimental data, and maximum relative errors of material removal rate (MRR) and surface roughness Sa are 3.91 % and 1.38 %, respectively. Results indicated that the SAP process can produce axisymmetric Gaussian removal functions, significantly remove the damage layer, and improve the surface quality while avoiding the generation of periodic surface textures. The increase in the tool offset changes the material removal mode from ductile to brittle mode, resulting in a higher MRR and Sa. In addition, the Taguchi simulation experiments are conducted to quantitatively evaluate the significance of the process parameters. Zhong-Chen, Cao oth Junpeng, Zhang oth Chenyao, Zhao oth Haitao, Liu oth Enthalten in Soc Bayulgen, Oksan ELSEVIER Tilting at windmills? Electoral repercussions of wind turbine projects in Minnesota 2021 Dearborn, Mich (DE-627)ELV00685088X volume:80 year:2022 pages:874-886 extent:13 https://doi.org/10.1016/j.jmapro.2022.06.038 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 83.65 Versorgungswirtschaft VZ AR 80 2022 874-886 13 |
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Results indicated that the SAP process can produce axisymmetric Gaussian removal functions, significantly remove the damage layer, and improve the surface quality while avoiding the generation of periodic surface textures. The increase in the tool offset changes the material removal mode from ductile to brittle mode, resulting in a higher MRR and Sa. In addition, the Taguchi simulation experiments are conducted to quantitatively evaluate the significance of the process parameters.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">A novel surface adaptive polishing (SAP) process is initially proposed to efficiently improve the surface accuracy of optical freeform surfaces while suppressing their surface and subsurface damage. A multiscale theoretical model is developed to predict the generation of surface microtopography. 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development and theoretical analysis of novel surface adaptive polishing process for high-efficiency polishing of optical freeform surface |
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Development and theoretical analysis of novel surface adaptive polishing process for high-efficiency polishing of optical freeform surface |
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A novel surface adaptive polishing (SAP) process is initially proposed to efficiently improve the surface accuracy of optical freeform surfaces while suppressing their surface and subsurface damage. A multiscale theoretical model is developed to predict the generation of surface microtopography. This model captures considerable fundamental physics of the SAP process, such as the variable curvature characteristics of the workpiece surface, the surface topography of pad, the brittle-ductile removal effect of materials, and the trochoidal motion trajectories of polishing tool. The feasibility and accuracy of the model were quantitatively analyzed through a series of experiments. Moreover, the influence mechanism of process parameters on surface morphology and subsurface damage was studied. The simulated results by the theoretical model agree well with the experimental data, and maximum relative errors of material removal rate (MRR) and surface roughness Sa are 3.91 % and 1.38 %, respectively. Results indicated that the SAP process can produce axisymmetric Gaussian removal functions, significantly remove the damage layer, and improve the surface quality while avoiding the generation of periodic surface textures. The increase in the tool offset changes the material removal mode from ductile to brittle mode, resulting in a higher MRR and Sa. In addition, the Taguchi simulation experiments are conducted to quantitatively evaluate the significance of the process parameters. |
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A novel surface adaptive polishing (SAP) process is initially proposed to efficiently improve the surface accuracy of optical freeform surfaces while suppressing their surface and subsurface damage. A multiscale theoretical model is developed to predict the generation of surface microtopography. This model captures considerable fundamental physics of the SAP process, such as the variable curvature characteristics of the workpiece surface, the surface topography of pad, the brittle-ductile removal effect of materials, and the trochoidal motion trajectories of polishing tool. The feasibility and accuracy of the model were quantitatively analyzed through a series of experiments. Moreover, the influence mechanism of process parameters on surface morphology and subsurface damage was studied. The simulated results by the theoretical model agree well with the experimental data, and maximum relative errors of material removal rate (MRR) and surface roughness Sa are 3.91 % and 1.38 %, respectively. Results indicated that the SAP process can produce axisymmetric Gaussian removal functions, significantly remove the damage layer, and improve the surface quality while avoiding the generation of periodic surface textures. The increase in the tool offset changes the material removal mode from ductile to brittle mode, resulting in a higher MRR and Sa. In addition, the Taguchi simulation experiments are conducted to quantitatively evaluate the significance of the process parameters. |
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A novel surface adaptive polishing (SAP) process is initially proposed to efficiently improve the surface accuracy of optical freeform surfaces while suppressing their surface and subsurface damage. A multiscale theoretical model is developed to predict the generation of surface microtopography. This model captures considerable fundamental physics of the SAP process, such as the variable curvature characteristics of the workpiece surface, the surface topography of pad, the brittle-ductile removal effect of materials, and the trochoidal motion trajectories of polishing tool. The feasibility and accuracy of the model were quantitatively analyzed through a series of experiments. Moreover, the influence mechanism of process parameters on surface morphology and subsurface damage was studied. The simulated results by the theoretical model agree well with the experimental data, and maximum relative errors of material removal rate (MRR) and surface roughness Sa are 3.91 % and 1.38 %, respectively. Results indicated that the SAP process can produce axisymmetric Gaussian removal functions, significantly remove the damage layer, and improve the surface quality while avoiding the generation of periodic surface textures. The increase in the tool offset changes the material removal mode from ductile to brittle mode, resulting in a higher MRR and Sa. In addition, the Taguchi simulation experiments are conducted to quantitatively evaluate the significance of the process parameters. |
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