Dimensional deviation affected by cutting parameters and machine tool rigidity in dry turning of S45C steel

A Rahman, Muhamad Arfauz and Abu Bakar, Baharudin and Saptari, Adi and Hussein, Nur Izan Syahriah and Halim, Isa and Imam Fauzi, Elfi Rahayu (2013) Dimensional deviation affected by cutting parameters and machine tool rigidity in dry turning of S45C steel. Applied Mechanics And Materials, 315. pp. 749-754. ISSN 1662-7482

[img] Text
dimensional_accuracy_affected.pdf

Download (346kB)

Abstract

Performance of machining processes is assessed by dimensional and geometrical accuracy which is mentioned in this paper as dimensional deviation. A part quality does not depend solely on the depth of cut, feed rate and cutting speed. Other variable such as excessive machine tool vibration due to insufficient dynamic rigidity can be deleterious to the desired results. The focus of the present study is to find a correlation between dimensional deviation against cutting parameters and machine tool vibration in dry turning. Hence cutting parameters and vibration-based regression model can be established for predicting the part dimensional deviation. Experiments are conducted using a Computerized Numerical Control (CNC) lathe with carbide insert cutting tool. Vibration data are collected through a data acquisition system, then tested and analyzed through statistical analysis. The analysis revealed that machine tool vibration has significant effect on dimensional deviation where statistical analysis of individual regression coefficients showed p<0.05. The developed regression model has been validated through experimental tests and found to be reliable to predict dimensional deviation.

Item Type: Article
Uncontrolled Keywords: Dimensional deviation, Vibration, Dry turning, Machine tool rigidity
Subjects: T Technology > TJ Mechanical engineering and machinery
Divisions: Faculty of Manufacturing Engineering > Department of Manufacturing Management
Depositing User: Ab Rahman Mahmod
Date Deposited: 18 Apr 2013 09:39
Last Modified: 04 Jul 2023 12:25
URI: http://eprints.utem.edu.my/id/eprint/7271
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item