TY - JOUR
T1 - Two degree of freedom frequency domain surface location error prediction
AU - Kiran, Kadir
AU - Rubeo, Mark
AU - Kayacan, Mehmet Cengiz
AU - Schmitz, Tony
N1 - Funding Information:
The authors gratefully acknowledge the Scientific and Technological Research Council of Turkey (TUBITAK) 2214/A International Doctoral Research Fellowship Programme for a research scholarship to the author, Kadir Kiran, in order to perform research at UNC Charlotte. The authors also acknowledge partial financial support from the National Science Foundation under Grant No. CMMI-1561221.
Publisher Copyright:
© 2016 Elsevier Inc.
PY - 2017/4/1
Y1 - 2017/4/1
N2 - This paper presents a two degree of freedom (DOF) closed-form frequency domain solution for surface location error prediction, including both the tool and workpiece flexibility. The cycloidal tool path is incorporated in the solution and the machined surface geometry is described by combining the tool path with the tool and workpiece displacements in two directions. For prediction validation, a two DOF flexure stage with tunable dynamics was constructed and milling tests were performed over a range of spindle speeds. Time domain simulations were also completed and a comparison between the closed-form frequency domain surface location error predictions, time domain predictions, and experimental results is provided.
AB - This paper presents a two degree of freedom (DOF) closed-form frequency domain solution for surface location error prediction, including both the tool and workpiece flexibility. The cycloidal tool path is incorporated in the solution and the machined surface geometry is described by combining the tool path with the tool and workpiece displacements in two directions. For prediction validation, a two DOF flexure stage with tunable dynamics was constructed and milling tests were performed over a range of spindle speeds. Time domain simulations were also completed and a comparison between the closed-form frequency domain surface location error predictions, time domain predictions, and experimental results is provided.
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U2 - 10.1016/j.precisioneng.2016.12.006
DO - 10.1016/j.precisioneng.2016.12.006
M3 - Article
AN - SCOPUS:85008455586
SN - 0141-6359
VL - 48
SP - 234
EP - 242
JO - Precision Engineering
JF - Precision Engineering
ER -