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dc.contributor.authorAtikah, Haji Awang
dc.contributor.authorRozie Nani, Ahmad
dc.contributor.authorMohd Faiz, Che-Dir
dc.date.accessioned2010-08-16T03:27:07Z
dc.date.available2010-08-16T03:27:07Z
dc.date.issued2009-06-20
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/8687
dc.descriptionMalaysian Technical Universities Conference on Engineering and Technology organized by Universiti Malaysia Pahang in collaboration with Universiti Tun Hussein Onn Malaysia, Universiti Teknikal Malaysia Melaka & Universiti Malaysia Perlis on June 20th - 22nd, 2009, at MS Garden Hotel, Kuantan, Pahang, Malaysia.en_US
dc.description.abstractPlasma arc cutting is an economical thermal machining process for nickel-based alloys due to its versatility and efficiency. Machining of these alloys is very expensive, therefore a precutting analysis is required to find the best parameter setting to achieve maximum material removal with minimum surface roughness. A series of experiments designed by means of Design of Experiment (DoE) method have been conducted to provide statistical data for plasma arc cutting on nickel-based alloys. This paper describes the use of Design Expert software to optimize the best parameter setting for plasma arc cutting of nickelbased alloys in order to achieve maximum material removal rate (MRR) with minimum surface roughness (Ra). The software uses Analysis of Variance to analyze the results and response surface method (RSM) to create 3D model graph to find these values. The result shows that material removal rate can be achieved at higher speed with the quality of surface roughness better than the nominal value.en_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Pahangen_US
dc.relation.ispartofseriesProceedings of the Malaysian Technical Universities Conference on Engineering and Technology (MUCEET) 2009en_US
dc.subjectPlasma arc cuttingen_US
dc.subjectAdvanced Materialen_US
dc.subjectDesign of Experimenten_US
dc.subjectInternational Conference in Visualization (VIZ)en_US
dc.titleApplication of response surface methodology in the optimization of cutting conditionsen_US
dc.typeWorking Paperen_US


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