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

Cooling systems is a key point for hot forming process of Ultra High Strength Steels (UHSS). The process lies in cooling capability offered by the tools with cooling systems. For the time being, cooling systems is made using deep drilling technique. Although deep twist drill is better than other dri...

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Main Authors:	Hazwan, Syafiq, A. R., Yusoff, A. M. N., Kamarizan, M. F., Ghazali
Format:	Conference or Workshop Item
Language:	English
Published:	2015
Subjects:	TJ Mechanical engineering and machinery TS Manufactures
Online Access:	http://umpir.ump.edu.my/id/eprint/10591/ http://umpir.ump.edu.my/id/eprint/10591/1/Statistical%20Analysis%20Of%20Deep%20Drilling%20Processs%20Conditions%20Using%20Vibrations%20And%20Force%20Signals.pdf

id	ump-10591
recordtype	eprints
spelling	ump-105912018-01-12T01:16:29Z http://umpir.ump.edu.my/id/eprint/10591/ Statistical Analysis of Deep Drilling Processs Conditions Using Vibrations and Force Signals Hazwan, Syafiq A. R., Yusoff A. M. N., Kamarizan M. F., Ghazali TJ Mechanical engineering and machinery TS Manufactures Cooling systems is a key point for hot forming process of Ultra High Strength Steels (UHSS). The process lies in cooling capability offered by the tools with cooling systems. For the time being, 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. It is needed a clear understanding regarding deep twist drill phenomena is highly important. In this paper, analysis of deep twist drill process parameters such as cutting speed, feedrate 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. Based on the analysis, it was 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. 2015 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/10591/1/Statistical%20Analysis%20Of%20Deep%20Drilling%20Processs%20Conditions%20Using%20Vibrations%20And%20Force%20Signals.pdf Hazwan, Syafiq and A. R., Yusoff and A. M. N., Kamarizan and M. F., Ghazali (2015) Statistical Analysis of Deep Drilling Processs Conditions Using Vibrations and Force Signals. In: International Conference On Mechanical Engineering Research (ICMER2015), 18-19 August 2015 , Kuantan, Pahang. . (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TJ Mechanical engineering and machinery TS Manufactures
spellingShingle	TJ Mechanical engineering and machinery TS Manufactures Hazwan, Syafiq A. R., Yusoff A. M. N., Kamarizan M. F., Ghazali Statistical Analysis of Deep Drilling Processs Conditions Using Vibrations and Force Signals
description	Cooling systems is a key point for hot forming process of Ultra High Strength Steels (UHSS). The process lies in cooling capability offered by the tools with cooling systems. For the time being, 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. It is needed a clear understanding regarding deep twist drill phenomena is highly important. In this paper, analysis of deep twist drill process parameters such as cutting speed, feedrate 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. Based on the analysis, it was 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.
format	Conference or Workshop Item
author	Hazwan, Syafiq A. R., Yusoff A. M. N., Kamarizan M. F., Ghazali
author_facet	Hazwan, Syafiq A. R., Yusoff A. M. N., Kamarizan M. F., Ghazali
author_sort	Hazwan, Syafiq
title	Statistical Analysis of Deep Drilling Processs Conditions Using Vibrations and Force Signals
title_short	Statistical Analysis of Deep Drilling Processs Conditions Using Vibrations and Force Signals
title_full	Statistical Analysis of Deep Drilling Processs Conditions Using Vibrations and Force Signals
title_fullStr	Statistical Analysis of Deep Drilling Processs Conditions Using Vibrations and Force Signals
title_full_unstemmed	Statistical Analysis of Deep Drilling Processs Conditions Using Vibrations and Force Signals
title_sort	statistical analysis of deep drilling processs conditions using vibrations and force signals
publishDate	2015
url	http://umpir.ump.edu.my/id/eprint/10591/ http://umpir.ump.edu.my/id/eprint/10591/1/Statistical%20Analysis%20Of%20Deep%20Drilling%20Processs%20Conditions%20Using%20Vibrations%20And%20Force%20Signals.pdf
first_indexed	2023-09-18T22:10:22Z
last_indexed	2023-09-18T22:10:22Z
_version_	1777414986432249856

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

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