000			02844nmm a2200313 a 4500
001			vtls000098458
003			KUKTEM
005			20251117113332.0
008			161214s2016 my fq d 001 0 eng d
020			_aTHE0005121(Local)
039		9	_a201905131523 _bhanafiah _c201712191237 _dsaini _y201612141216 _zsaini
040			_aUMP
090			_aFKP .T363 2016 r Bc.
090			_aCD 10452
100	1		_aTan, Beng Hwang
245	1	0	_aAdvanced computer aided manufacturing applications for turning processes _h[electronic resource] / _cTan Beng Hwang
260			_aKuantan, Pahang : _bUMP, _c2016
300			_a1 computer disc : _bdigital data ; _c12 cm.
500			_aFaculty of Manufacturing Engineering
500			_aTheses Gred A
502			_aProject Paper (Bachelor of Engineering in Manufacturing Engineering (Hons.)) -- Universiti Malaysia Pahang – 2016
520	3		_aThe application of computer technology have influenced numerous development in turning manufacturing process. Generally, a detailed variables have to be defined including cutting parameters, process parameters and machining operations. Nevertheless, process planning needed skilled process planners, longer process planning time spent and has low level of dependability. This paper aims to develop an user interface program controller where in order to support the decision making with large volume of data and to optimise the process planning task, the integration between intelligent systems for example Computer Aided Design (CAD), Computer Aided Process Planning (CAPP) and Computer Aided Manufacturing (CAM) have strengthened the relation between design and manufacturing stages. Through the integration of these intelligent systems, application of graphical user interface (GUI) for automated process planning in turning machining is developed to provide an effective machining process. The main purpose of the developed user interface program is to assist the process planning tasks in turning machining for construct machining program with minimum time and minimalize the need of skilled user in the process. Moreover, the graphical user interface (GUI) is able to improve the process planning in turning operations by integrating decision making tools and optimize process parameters such as spindle speed, depth of cut and cutting feed rate based on operation features with minimum human intervention and embed substantial levels of automation in the planning stage.
538			_aItem in PDF format
610	2	0	_aFaculty of Manufacturing Engineering _xDissertations
650		0	_aUniversities and Colleges _xDissertations
650		0	_aTheses
856	4	0	_uhttp://ecollib.ump.edu.my/id/eprint/3935 _zAccess in library only
999			_aVIRTUA40 _c6941 _d6947
999			_aVTLSSORT0080*0200*0400*0900*0901*1000*2450*2600*3000*5000*5001*5020*5200*5380*6100*6500*6501*8560*9992