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Statistical Analysis of Deep Drilling Process Conditions Using Vibrations and Force Signals

Hazwan, Syafiq and A. M. N., Kamarizan and M. F., Ghazali and A. R., Yusoff (2016) Statistical Analysis of Deep Drilling Process Conditions Using Vibrations and Force Signals. In: MATEC Web of Conferences: The 3rd International Conference on Mechanical Engineering Research (ICMER 2015), 18-19 August 2015 , Zenith Hotel, Kuantan, Pahang, Malaysia. pp. 1-7., 74 (00002). ISSN 2261-236X

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Abstract

Cooling systems is a key point for hot forming process of Ultra High Strength Steels (UHSS). Normally, cooling systems is made using deep drilling technique. Although deep twist drill is better than other drilling techniques in term of higher productivity however its main problem is premature tool breakage, which affects the production quality. In this paper, analysis of deep twist drill process parameters such as cutting speed, feed rate and depth of cut by using statistical analysis to identify the tool condition is presented. The comparisons between different two tool geometries are also studied. Measured data from vibrations and force sensors are being analyzed through several statistical parameters such as root mean square (RMS), mean, kurtosis, standard deviation and skewness. Result found that kurtosis and skewness value are the most appropriate parameters to represent the deep twist drill tool conditions behaviors from vibrations and forces data. The condition of the deep twist drill process been classified according to good, blunt and fracture. It also found that the different tool geometry parameters affect the performance of the tool drill. It believe the results of this study are useful in determining the suitable analysis method to be used for developing online tool condition monitoring system to identify the tertiary tool life stage and helps to avoid mature of tool fracture during drilling process.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Cooling systems; Deep Drilling Process; statistical analysis;
Subjects: T Technology > TJ Mechanical engineering and machinery
T Technology > TS Manufactures
Faculty/Division: Faculty of Manufacturing Engineering
Faculty of Mechanical Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 05 Oct 2016 06:24
Last Modified: 11 Jan 2018 07:30
URI: http://umpir.ump.edu.my/id/eprint/14527
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