000 02550ntm a2200349 i 4500
001 vtls000103579
003 KUKTEM
005 20251117113401.0
008 180523s2018 my a f am 000 0 eng d
020 _aTHE0005387(Local)
039 9 _a201905151436
_bhanafiah
_c201805231133
_dsaini
_y201805231131
_zsaini
040 _aUMP
_beng
_cUMP
_erda
090 _aFKP .M84 2018 r Bc.
100 0 _aNurul Muhayu Ashikin Rukmi,
_eauthor.
245 1 0 _aOptimum parameter setting for potting machine on inductance products /
_cNurul Muhayu Ashikin Rukmi
264 1 _aKuantan, Pahang :
_bUMP,
_c2018
300 _axi, 50 pages :
_billustrations (some color) ;
_c30 cm. +
_e1 CD-ROM
336 _atext
_2rdacontent
337 _aunmediated
_2rdamedia
337 _acomputer
_2rdamedia
338 _avolume
_2rdacarrier
338 _acomputer disc
_2rdacarrier
347 _atext file
_bPDF
_2rda
500 _aFaculty of Manufacturing Engineering
502 _aProject Paper (Bachelor of Mechatronics Engineering (UMP-HsKA)) - (Dual Degree Programme with Karlsruhe University of Applied Sciences, HsKA, Germany) -- Universiti Malaysia Pahang – 2018
504 _aIncludes bibliographical references
520 3 _aThis thesis is about the improvement of the existing process on potting machine for inductance products in an industrial company, Vacuumschmelze Sdn. Bhd., located in Pekan, Pahang. In order to achieve the objective which is to make an improvement on the potting process, a method for optimization is conducted to investigate the best parameter that should be used on the potting machine that depends on the model of inductance. The approach in this project is based on the design of experiment of Taguchi method to determine the setting of the process parameters due to its precision, low cost and low time consuming, systematic and easy to analyze the result. Orthogonal Arrays of Taguchi, the signal and noise ratio, the analysis of variance (ANOVA) are employed to find the optimum parameter levels of factors. The results obtained from the experiment in Taguchi technique is analyzed using statistical software, Minitab. Confirmation test with the optimum level obtained is carried out to investigate the effectiveness of the experiment conducted.
610 2 0 _aFaculty of Manufacturing Engineering
_xDissertations
650 0 _aUniversities and colleges
_xDisertations
650 0 _aTheses
999 _aVIRTUA40
_c7750
_d7756
999 _aVTLSSORT0080*0200*0400*0900*1000*2450*2640*3000*3360*3370*3371*3380*3381*3470*5000*5020*5040*5200*6100*6500*6501*9992