000			02912nam a2200277 a 4500
001			vtls000052448
003			KUKTEM
005			20251114204443.0
008			110329t2010 my a f m 000 0 eng d
020			_aTHE0006539(Local)
039		9	_a201905141524 _bamirul _c201110040858 _dFida _c201107140041 _dVLOAD _c201103301000 _dida _y201103291310 _zida
040			_aUMP
090			_aTJ1186 .I86 2010 rs Bc.
100	0		_aIsmail Ab.llah
245	1	0	_aPerformance of coated carbide cutting tool while machining aluminium alloy and mild steel / _cIsmail Ab.llah
246	3		_aPerformance of coated carbide cutting tool while machining aluminium alloy and mild steel _h[computer file]
260			_aKuantan, Pahang : _bUMP, _c2010
300			_axii, 60 p. : _bill. (some col.) ; _c30 cm. + _e1 computer disc
502			_aProject paper (Bachelor of Mechanical Engineering) -- Universiti Malaysia Pahang - 2010
504			_aBibliography : p. 58-59
520	3		_aThis paper discuss of the performance of coated carbide cutting tools in milling by investigating through the surface roughness. Response Surface Methodology (RSM) is implemented to model the face milling process that are using four insert of coated carbide TiNC as the cutting tool and mild steel AISI1020 and aluminium alloy AA6061 as materials due to predict the resulting of surface roughness. Data is collected from HAAS CNC milling machines were run by 15 samples of experiments for each material using DOE approach that generate by Box-Behnkin method due to table design in MINITAB packages. The inputs of the model consist of feed, cutting speed and depth of cut while the output from the model is surface roughness. Predictive value of surface roughness was analyzed by the method of RSM. The model is validated through a comparison of the experimental values with their predicted counterparts. A good agreement is found where from the RSM approaches show the 81.76% accuracy for mild steel and 80.09% accuracy for aluminium alloy which reliable to be use in Ra prediction and state the feed parameter is the most significant parameter followed by depth of cut and cutting speed influence the surface roughness. For Aluminium Alloy AA6061, the performance of coated carbide cutting tool is better than Mild Steel AISI1020. This project also identified that the increasing of surface roughness, Ra is proportional to the increasing of depth of cut and feed but inversely proportional to the increasing of cutting speed for both of the Aluminum Alloy (AA6061) and Mild Steel (AISI1020). The proved technique opens the door for a new, simple and efficient approach that could be applied to the calibration of other empirical models of machining
650		0	_aCutting tools
650		0	_aSurface (Technology)
650		0	_aMetal-cutting
999			_aVIRTUA40 _c2302 _d2308
999			_aVTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5020*5040*5200*6500*6501*6502*9992