dc.contributor.author | Haris, Ab. Halim | |
dc.date.accessioned | 2013-10-09T05:09:50Z | |
dc.date.available | 2013-10-09T05:09:50Z | |
dc.date.issued | 2010-05 | |
dc.identifier.uri | http://dspace.unimap.edu.my/123456789/28683 | |
dc.description | Access is limited to UniMAP community. | en_US |
dc.description.abstract | The commonly problem for milled product is quality of surface roughness.
Therefore, the important step is with choice the correct cutting parameter to get the result or
to obtain desired surface finish. This project was conducted using Taguchi method for the
purpose of obtaining the optimum cutting parameters in CNC milling. This milling process
will be carrying using CNC Milling process, Spinner (Brand), VC810 (Model). The cutting
parameters of this experiment have been chosen including type of cutting tool, cutting
speed (rpm), feed rate (mm/tooth) and depth of cut (mm). The material used in this milling
process is aluminium. The Design of Experiment (DOE) technique is used to analyze every
parameter data with using Taguchi method and have done 9 differential of cutting
parameters. This is the purpose for analyzing the cutting surface and to obtain the optimum
surface roughness. The optimum parameters were proven based on the prediction by Design
Expert software and also experimental run. The parameters were cutting tool type is high
speed steel (TiCN coated) [A2], cutting speed = 700 rpm [B1], feed rate 0.1 mm/tooth [C1]
and depth of cut 0.5 mm [D1]. In conclusion, the objectives of this project to obtain the
optimum cutting parameters for optimum surface roughness were achieved. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Universiti Malaysia Perlis (UniMAP) | en_US |
dc.subject | CNC milling process | en_US |
dc.subject | Cutting parameters | en_US |
dc.subject | Design of Experiment (DOE) | en_US |
dc.subject | Aluminium | en_US |
dc.title | A study on surface roughness of aluminium using CNC milling process | en_US |
dc.type | Learning Object | en_US |
dc.contributor.advisor | Muhamad Nasir Murad | en_US |
dc.publisher.department | School of Manufacturing Engineering | en_US |