NDLI: Investigation of micro-milling process parameters for surface roughness and milling depth

Content Provider	Springer Nature Link
Author	Saklakoglu, Ibrahim Etem Kasman, Sefika
Copyright Year	2010
Abstract	The main objective of this study is to investigate the micro-milling performance of the AISI H13 with different process parameters namely laser power, scan speed, frequency, and fill spacing using 30W fiber laser marking machine and to find the optimal operation conditions for minimum surface roughness and maximum milling depth. The 108 different combinations occurred with the interaction of each level of the parameters used in this study. Therefore, the main contribution of this paper to the related literature is that it produces new evidence regarding the effects of the multi-scan times on both surface roughness and milling depth. The experimental results are showed that 0.03 mm of fill spacing, the highest scan speed (800 mm/s), lowest frequency (20 kHz), and laser power (60%) produced better surface roughness, which is 1.75 μm. The deeper cavity on the geometry is obtained under the experimental combination as 200 mm/s of scan speed, 0.02 mm of fill spacing, 60% of laser power, and 40 kHz of frequency, which is 195 μm. The regression analysis was used to develop a mathematical model and determine the effect of process parameters on the surface roughness and milling depth. The results of subsequent tests verifies regression models.
Starting Page	567
Ending Page	578
Page Count	12
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	54
Issue Number	5-8
e-ISSN	14333015
Language	English
Publisher	Springer-Verlag
Publisher Date	2010-10-12
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Laser micro-milling Surface roughness Milling depth Fiber laser Computer-Aided Engineering (CAD, CAE) and Design Industrial and Production Engineering Mechanical Engineering Production/Logistics
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software

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