Jin et al., 2019 - Google Patents
A unified prediction model of 3D surface topography in face milling considering multi-error sourcesJin et al., 2019
- Document ID
- 5132551550016148759
- Author
- Jin S
- Liu S
- Zhang X
- Chen K
- Publication year
- Publication venue
- The International Journal of Advanced Manufacturing Technology
External Links
Snippet
Surface topography, which represents machined surface errors in 3D space, is a comprehensive way to estimate surface quality in face milling. This paper presents a unified simulation model for the prediction of 3D machined surface topography considering multiple …
- 238000003801 milling 0 title abstract description 71
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/18—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form
- G05B19/4097—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by using design data to control NC machines, e.g. CAD/CAM
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/49—Nc machine tool, till multiple
- G05B2219/49085—CMP end point analysis, measure parameters on points to detect end of polishing process
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/35—Nc in input of data, input till input file format
- G05B2219/35303—Dry run, compare simulated output with desired finished profile, alarm, inhibit
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/50—Machine tool, machine tool null till machine tool work handling
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Jin et al. | A unified prediction model of 3D surface topography in face milling considering multi-error sources | |
Budak et al. | Analytical modeling of chatter stability in turning and boring operations: a multi-dimensional approach | |
Ismail et al. | Generation of milled surfaces including tool dynamics and wear | |
Zhenyu et al. | Influence of dynamic effects on surface roughness for face milling process | |
Zhang et al. | Modeling and on-line simulation of surface topography considering tool wear in multi-axis milling process | |
Hadad et al. | Modeling and analysis of a novel approach in machining and structuring of flat surfaces using face milling process | |
CN104759942A (en) | Online milling deformation measurement and complementation machining method for thin-walled part | |
Huang et al. | Decoupled chip thickness calculation model for cutting force prediction in five-axis ball-end milling | |
Artetxe et al. | Solid subtraction model for the surface topography prediction in flank milling of thin-walled integral blade rotors (IBRs) | |
Chen et al. | Effects of inclination angles on geometrical features of machined surface in five-axis milling | |
San Wong et al. | A novel method for determination of the subsurface damage depth in diamond turning of brittle materials | |
Cao et al. | A cutting force model considering influence of radius of curvature for sculptured surface machining | |
Guo et al. | An identification model of cutting force coefficients for five-axis ball-end milling | |
Gu et al. | A model for the prediction of surface flatness in face milling | |
Martins Crichigno Filho | Prediction of cutting forces in mill turning through process simulation using a five-axis machining center | |
Barari | Inspection of the machined surfaces using manufacturing data | |
Scippa et al. | Milled surface generation model for chip thickness detection in peripheral milling | |
Ghorbani et al. | Extraction of surface curvatures from tool path data and prediction of cutting forces in the finish milling of sculptured surfaces | |
Wu et al. | Deviation modeling of manufactured surfaces from a perspective of manufacturing errors | |
Guo et al. | 3D surface topography prediction in the five-axis milling of plexiglas and metal using cutters with non-uniform helix and pitch angles combining runout | |
Dongming et al. | An approach to modeling cutting forces in five-axis ball-end milling of curved geometries based on tool motion analysis | |
Yu et al. | Integration of tool error identification and machining accuracy prediction into machining compensation in flank milling | |
Lyu et al. | Modelling and prediction of surface topography on machined slot side wall with single-pass end milling | |
Xing et al. | On-machine measurement method and geometrical error analysis in a multi-step processing system of an ultra-precision complex spherical surface | |
Arizmendi et al. | Model for the prediction of heterogeneity bands in the topography of surfaces machined by peripheral milling considering tool runout |