| Summary: | 碩士 === 國立屏東技術學院 === 機械工程技術研究所 === 84 === The purpose of this thesis is to investigate the maximum
metal removl rate in metal cutting process. The response
surface methodology is used to build the predictive model of
milling vibration and to select the experimental conditions in
cutting medium carbon steel. An accelerometer and a
frequency analyzer are served as the detecting and recording
instruments. Then, the vibrating signal is analyzed and the
standard deviations in time-domain and frequency-domain are
founded to represent the vibration values. Therefore, the
predictive equations are obtained in time-domain and frequency-
domain respectively by the least square method of regression
analysis. Eight experimental point by random choosing to
verify those equations are conducted , and the errors are
17.2% and 14.03% for time-domain and frequency-domain
respectively. The relationship between metal removal rate
and vibration is explored with three depths of cut, which is
related with the cutting speed and feed . The relation function
between the surface roughness and vibration is alse founded.
Under the same cutting conditions, the errors between the
predicted values and experimental results are 14.34% and 12.39%
in time-domain and frequency-domain respectively. Thus, a
calculating system for the optimum cutting conditions based on
the maximum metal removal rate has been developed from the
mathematical prediction equations of milling vibration and the
relation function between the surface roughness and vibration.
keywords:Response SurfaceMethodology,Maximum Metal Removal Rate,
Milling Vibration,Surface Roughness.
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