Prediction of Vibrations & Cutting force of single point cutting tool in turning by using Artificial Neural Network (PDF)
(Sprache: Englisch)
Professorial Dissertation from the year 2015 in the subject Computer Sciences - Artificial Intelligence, , language: English, abstract: The objective of this work is to develop a model to simulate the vibrational effects of rotating machine parts on the...
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Professorial Dissertation from the year 2015 in the subject Computer Sciences - Artificial Intelligence, , language: English, abstract: 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. 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.
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. 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 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 to avoid the failure of cutting tool.
Transformer (FFT) Analyzer.
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. 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 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 to avoid the failure of cutting tool.
Autoren-Porträt von Matin Shaikh
I am Prof. Matin A. Shaikh working in Mechanical Engineering Department as a Assistant Professor of SVERI's College of Engineering Pandharpur, MH, India. I have Completed Master's from Design Engineering. Since 2010 I am in Academic field. My Area of working Vibration, Artificial Neural Network.
Bibliographische Angaben
- Autor: Matin Shaikh
- 2016, 1. Auflage, 95 Seiten, Englisch
- Verlag: GRIN Verlag
- ISBN-10: 3668159777
- ISBN-13: 9783668159778
- Erscheinungsdatum: 24.02.2016
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Größe: 3.97 MB
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Englisch
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