Title :
Notice of Retraction
Prediction of surface roughness in CNC turning physical simulation
Author_Institution :
Art Design Sch., Shenyang Aerosp. Univ., Shenyang, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
According to the workpiece material, cutter material and shape, combined with the cutting data in the course of processing, the formation principle of surface roughness is studied in this paper. By calculating the cutting force in the turning process using the empirical formula in the actual production, analyzing the surface layer residual area in the cutter cutting process, abstracting the relationship between cutters and workpieces into a vibration model, and mapping all the changes of physical factors in the cutting process into the virtual manufacturing system, prediction of the surface roughness in the CNC turning simulation system is thus achieved. Developing application program on the VC + + platform employing C++ language, and building user interface, the results of processing can be predicted conveniently and flexibly.
Keywords :
Visual BASIC; computerised numerical control; cutting; cutting tools; digital simulation; surface roughness; turning (machining); virtual machining; C++ language; CNC turning physical simulation; VC ++ platform; cutter material; cutter shape; cutting force calculation; cutting process; surface roughness; user interface; vibration; virtual manufacturing system; workpiece material; Materials; Predictive models; Publishing; Rough surfaces; Surface roughness; Surface treatment; Turning; Virtual manufacturing; physical simulation; simulation model; surface roughness;
Conference_Titel :
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location :
Dengleng
Print_ISBN :
978-1-4577-0535-9
DOI :
10.1109/AIMSEC.2011.6010057