TY - GEN
T1 - A part error model considering the machine tool positioning errors and process-induced errors
AU - Liao, Y. Y.
AU - Chiang, H. N.
AU - Wang, J. J.
AU - Hsu, F. C.
AU - Wu, C. F.
AU - Melkote, Shreyes N.
PY - 2009
Y1 - 2009
N2 - Parts geometrical and dimensional error for a machining process can be attributed to several factors, including tool wear, thermal deformation, the machine tool positioning error and force-induced process error. Although the latter two factors are often more significant, their effect on the parts accuracy is more elusive and difficult to predict due to their inherent statistical dispersion property. It is therefore the subject of this investigation to quantitatively relate the parts error to machine tool spatial error and process-induced errors. Through root mean square calculation, a part error model is established by combining the machine tool positioning error, work vibration and tool vibration. The part error model considers two ranges of surface error consisting of surface roughness and cutting depth error of a machined plate. Using milling process as an example, the part error is predicted and compared with measurement result. The validity of this model is verified through a series of milling experiments under various cutting conditions.
AB - Parts geometrical and dimensional error for a machining process can be attributed to several factors, including tool wear, thermal deformation, the machine tool positioning error and force-induced process error. Although the latter two factors are often more significant, their effect on the parts accuracy is more elusive and difficult to predict due to their inherent statistical dispersion property. It is therefore the subject of this investigation to quantitatively relate the parts error to machine tool spatial error and process-induced errors. Through root mean square calculation, a part error model is established by combining the machine tool positioning error, work vibration and tool vibration. The part error model considers two ranges of surface error consisting of surface roughness and cutting depth error of a machined plate. Using milling process as an example, the part error is predicted and compared with measurement result. The validity of this model is verified through a series of milling experiments under various cutting conditions.
UR - http://www.scopus.com/inward/record.url?scp=77953187531&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77953187531&partnerID=8YFLogxK
U2 - 10.1115/MSEC2009-84179
DO - 10.1115/MSEC2009-84179
M3 - Conference contribution
AN - SCOPUS:77953187531
SN - 9780791843628
T3 - Proceedings of the ASME International Manufacturing Science and Engineering Conference 2009, MSEC2009
SP - 67
EP - 72
BT - Proceedings of the ASME International Manufacturing Science and Engineering Conference 2009, MSEC2009
T2 - ASME International Manufacturing Science and Engineering Conference 2009, MSEC2009
Y2 - 4 October 2009 through 7 October 2009
ER -