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An investigation of surface roughness in micro-end-milling of metals

Content Provider	Scilit
Author	Jing, Xiubing Li, Huaizhong Wang, Jun Yuan, Yanjie Zhang, Dawei Kwok, Ngaiming Nguyen, Thai
Copyright Year	2016
Description	Journal: Australian Journal of Mechanical Engineering This paper presents an experimental study of the effects of cutting parameters of micro-end-milling process on the machined surface roughness, in order to find the optimal operation conditions for improved surface finish. Three types of metals, namely 6160 aluminium alloy, brass, and AISI 1040 steel, are used as work materials. The effect of material property on the surface roughness is investigated. It is found that under the same machining condition, the machined surface quality of aluminium alloy is the worst, while that of brass is the best. A multiple regression model for the surface roughness is developed, which includes the effects of cutting speed, feedrate, and the interaction between them. Results based on analysis of variance (ANOVA) show that the cutting speed is the most significant factor on surface roughness. The residual analysis indicates that the multiple regression model is valid and agrees with the experimental results.
Related Links	https://research-repository.griffith.edu.au/bitstream/10072/100444/1/LiPUB2292.pdf https://core.ac.uk/download/pdf/143897317.pdf
Ending Page	174
Page Count	9
Starting Page	166
ISSN	14484846
e-ISSN	22042253
DOI	10.1080/14484846.2016.1211472
Journal	Australian Journal of Mechanical Engineering
Issue Number	3
Volume Number	15
Language	English
Publisher	Informa UK Limited
Publisher Date	2017-09-02
Access Restriction	Open
Subject Keyword	Journal: Australian Journal of Mechanical Engineering Automotive Engineering Micro-end-milling Surface Roughness Cutting Parameters
Content Type	Text
Subject	Mechanical Engineering

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