Title :
Notice of Retraction
Study on prediction model of surface roughness in external cylindrical grinding
Author :
Shujing Sha ; Longshan Wang ; Ning Ding
Author_Institution :
Coll. of Mech. Sci. & Eng., Jilin Univ., Changchun, 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.
Multiple linear regression is used on establishing a prediction model of surface roughness in cylindrical grinding, according to systematic analysis and testing. The nearly relationship between surface roughness and operating parameters(such as workpiece speed, wheel speed, grinding depth and vertical feed ) is more deeply revealed. It is showed that the model has simple structure and well predictive capabilities by the significant testing and examination. The model will provide a reliable basis for intelligent control and virtual manufacturing, and achieve the purpose of precise control of the grinding process.
Keywords :
grinding; intelligent control; predictive control; process control; regression analysis; surface roughness; testing; virtual manufacturing; external cylindrical grinding; grinding depth; grinding process control; intelligent control; multiple linear regression; prediction model; predictive capability; surface roughness; systematic analysis; testing; vertical feed; virtual manufacturing; wheel speed; workpiece speed; external cylindrical grinding; multiple linear regression; surface roughness;
Conference_Titel :
Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-7957-3
DOI :
10.1109/CMCE.2010.5610288
