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http://dspace.unimap.edu.my:80/xmlui/handle/123456789/30412
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DC Field | Value | Language |
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dc.contributor.author | Ismail, Mahamad Hakimi | - |
dc.date.accessioned | 2013-12-11T07:06:33Z | - |
dc.date.available | 2013-12-11T07:06:33Z | - |
dc.date.issued | 2010-05 | - |
dc.identifier.uri | http://dspace.unimap.edu.my/123456789/30412 | - |
dc.description | Access is limited to UniMAP community. | en_US |
dc.description.abstract | Surface roughness is one of the aspects that are of great significance in CNC milling process as it represents the quality of the product. Thus, in order to obtain a good surface finish, optimum cutting parameters in CNC milling must be determined. This project was conducted using Taguchi method for the purpose of obtaining the optimum cutting parameters in CNC milling. The parameters chosen in this experiment are spindle speed [rpm], feed rate [mm/tooth], depth of cut [mm] and tool material. The material used in this study is cast iron. The Taguchi method is used as a tool to identify the control factor levels for optimum surface roughness. The optimum combinations of control factor levels were identified by referring to the smallest surface roughness value which is 3.118μm. The optimum parameters were proven based on the prediction by Design Expert software and also experimental run. The parameters were tool material of High Speed Steel (TiCN coated) [A3], cutting speed = 700 rpm [B3], depth of cut = 1.0 mm [C1], and feed rate = 0.1 mm/tooth [D2 ]. 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 | Design of Experiment (DOE) | en_US |
dc.subject | Surface roughness | en_US |
dc.subject | Cast iron | en_US |
dc.title | A study on surface roughness of cast iron 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 |
Appears in Collections: | School of Manufacturing Engineering (FYP) |
Files in This Item:
File | Description | Size | Format | |
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Abstract, Acknowledgement.pdf | 98.44 kB | Adobe PDF | View/Open | |
Introduction.pdf | 41.98 kB | Adobe PDF | View/Open | |
Literature review.pdf | 456.67 kB | Adobe PDF | View/Open | |
Methodology.pdf | 172.84 kB | Adobe PDF | View/Open | |
Results and discussion.pdf | 375.44 kB | Adobe PDF | View/Open | |
Conclusion.pdf | 46.21 kB | Adobe PDF | View/Open | |
Reference and appendix.pdf | 3.78 MB | Adobe PDF | View/Open |
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