|Institution:||SVERI COE Pandharpur|
|Department:||Mechanical Engg. Department|
|Keywords:||Vibrations, Cutting Force, Cutting Tool, Turning, ANN, Prediction.|
|Full text PDF:||http://www.iaeme.com/MasterAdmin/UploadFolder/30120140507012/30120140507012.pdf|
In this paper the objective of this work is to develop a model to simulate the vibrational effects of rotating machine parts on the single point cutting tool and cutting force acting on single point cutting tool in turning. In this paper experimental studies were performed on turning process & vibration is measured with the help of accelerometer along with a device called as Fast Fourier Transformer (FFT) Analyzer and cutting force is measured with the help of Tool dynamometer. The vibration of single point cutting tool is sensed by accelerometer located on the tool-post of lathe machine. The accelerometer will send the sensed vibration to FFT Analyzer which can be convert the sensed data by using accelerometer shown in PC such as frequency, Amplitude, displacement & so on and cutting force is sensed by strain gauges which are compacted in tool post. The sensed force will send to dynamometer, it displays the cutting force. The obtained experimental data given to an Artificial Neural Network (ANN) in Matlab, with the help of experimental data ANN is to be trained. And by using ANN can predict the vibrations and cutting force by changing parameters of turning such as spindle speed, feed & depth of cut. This model of ANN can be predict vibrations of single point cutting tool and cutting force acting on single point cutting tool to avoid the failure of cutting tool.