Abstract
Since the great interest of the achieved parts quality, this experimental study focuses on the modeling and the investigation of the surface roughness of hard turned AISI 52100 steel. The tool vibration was taking into consideration beside cutting speed, depth of cut, feed rate and tool nose radius. The response surface methodology (RSM) was employed for modeling process. Models reliability was established by conducting confirmation tests. Slight divergence between the experimental and their corresponding predicted values were observed. The significance of the different factors on surface roughness was established by applying analysis of variance (ANOVA). The results revealed that the best surface roughness is obtained by using small feed rate and large nose radius. Furthermore, a correlation between the surface roughness and tool vibrations was established.
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Meddour, I., Yallese, M.A., Aouici, H. (2015). Investigation and Modeling of Surface Roughness of Hard Turned AISI 52100 Steel: Tool Vibration Consideration. In: Haddar, M., et al. Multiphysics Modelling and Simulation for Systems Design and Monitoring. MMSSD 2014. Applied Condition Monitoring, vol 2. Springer, Cham. https://doi.org/10.1007/978-3-319-14532-7_43
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DOI: https://doi.org/10.1007/978-3-319-14532-7_43
Publisher Name: Springer, Cham
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