Izamshah et al., 2014 - Google Patents
Cutter path strategies for shoulder milling of thin deflecting wallsIzamshah et al., 2014
View PDF- Document ID
- 558421430616645749
- Author
- Izamshah R
- Zulhairy M
- Kasim M
- Hadzley M
- Amran M
- Amri M
- Sivaraos S
- Publication year
- Publication venue
- Advanced Materials Research
External Links
Snippet
The main problem associate with the machining of thin-wall component is the wall deflection which resulting in dimensional surface error that leads to part rejection. The magnitude of wall deflection is induced by the cutting force generated during the material removal process …
- 238000003801 milling 0 title description 14
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
- 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
- G05B19/406—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 monitoring or safety
-
- 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
-
- 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
- G05B2219/45—Nc applications
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Izamshah et al. | Effects of end mill helix angle on accuracy for machining thin-rib aerospace component | |
| Wang et al. | A cutting sequence optimization algorithm to reduce the workpiece deformation in thin-wall machining | |
| Budak et al. | Maximizing chatter free material removal rate in milling through optimal selection of axial and radial depth of cut pairs | |
| Scippa et al. | FEM based cutting velocity selection for thin walled part machining | |
| Li et al. | Responsive fixture design using dynamic product inspection and monitoring technologies for the precision machining of large-scale aerospace parts | |
| CN108181877B (en) | Method for optimizing tool path using medial axis transformation | |
| Habibi et al. | Modification of tool orientation and position to compensate tool and part deflections in five-axis ball end milling operations | |
| Michalik et al. | CAM software products for creation of programs for CNC machining | |
| Izamshah et al. | Cutter path strategies for shoulder milling of thin deflecting walls | |
| Voronov et al. | Dynamics of flexible detail milling | |
| Gao et al. | Analysis of cutting stability in vibration assisted machining using ananalytical predictive force model | |
| Kashyzadeh et al. | Study of chatter analysis in turning tool and control methods–a review | |
| Yu et al. | Prediction of chatter considering the effect of axial cutting depth on cutting force coefficients in end milling | |
| Scippa et al. | Milled surface generation model for chip thickness detection in peripheral milling | |
| Fei et al. | Chatter prediction for milling of flexible pocket-structure | |
| Luo et al. | Material removal process optimization for milling of flexible workpiece considering machining stability | |
| Adamski | Manufacturing development strategies in aviation industry | |
| Sulitka et al. | Integrated force interaction simulation model for milling strategy optimization of thin-walled blisk blade machining | |
| Sims et al. | The influence of feed rate on process damping in milling: modelling and experiments | |
| Dambly et al. | Tri-dexel based cutter-workpiece engagement determination for robotic machining simulator | |
| Dotcheva et al. | Modelling and optimisation of up-and down-milling processes for a representative pocket feature | |
| Chen et al. | FEM-based prediction and control of milling deformation for a thin-wall web of Ti-6Al-4V alloy | |
| Izamshah et al. | M. Amran “", M. Amri"" and Sivarao | |
| Vukman et al. | Fundamentals of the optimization of machining process planning for the thin-walled aluminium parts | |
| El-Midany et al. | Optimal CNC plunger selection and toolpoint generation for roughing sculptured surfaces cavity |