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Hao et al., 2017 - Google Patents

Analysis of milling surface roughness prediction for thin-walled parts with curved surface

Hao et al., 2017

Document ID
8418022680449448320
Author
Hao Y
Liu Y
Publication year
Publication venue
The International Journal of Advanced Manufacturing Technology

External Links

Snippet

In manufacturing industry, parts contain curved surface are widely used to meet specific needs like better performance, beautiful appearance, and light weight. Surface roughness is an important part of machining surface topography. The milling surface roughness prediction …
Continue reading at link.springer.com (other versions)

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/18Numerical 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
    • G05B19/4097Numerical 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
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/30Nc systems
    • G05B2219/35Nc in input of data, input till input file format
    • G05B2219/35303Dry run, compare simulated output with desired finished profile, alarm, inhibit

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