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008 140605t2013 my a f m 000 0 eng d
020 _aTHE0005714(Local)
039 9 _a201905211500
_bhanafiah
_c201406061112
_dtraining2
_c201406060938
_dFida
_y201406051536
_ztraining2
040 _aUMP
090 _aTA413.5 .N45 2013 rs Bc.
100 1 _aNg, Jun Pin
245 1 2 _aA study of the strain signals behaviour /
_cNg Jun Pin
260 _aKuantan, Pahang :
_bUMP,
_c2013
300 _axvii, 51 p. :
_bill. (some col.) ;
_c30 cm. +
_e1 CD-ROM
502 _aProject paper (Bachelor of Mechanical Engineering) -- Universiti Malaysia Pahang - 2013
504 _aBibliography : p. 44-46
520 3 _aThis study presents the study of strain signals behavior. In this study, the strain signal of helical spring at different value of excitations is used to study the signals behavior. When a vehicle was driven on any road surfaces, the significant load is transmitted to the helical spring to absorb loads. The load values were varied according to the type of the road surfaces. The signals were analyzed by statistical analysis and frequency-time domain. Signals are classified based on the value of the statistical parameter. The signals are used to predict fatigue damage of the helical spring. From the result obtained, the unpaved road signals consist of higher peak shocks. It exhibited higher statistical value compared to the signals obtained from university road and highway. These feature increased the fatigue damage potential of the helical spring. The finite element analysis of helical spring was performed by MSC Nastran with Patran software. The finite element model was analysed using the linear elastic stress. Finally, the result obtained and signals are employed to test the fatigue damage of helical spring. Strain-life model which are Coffin-Manson, SWT and Morrow model are used to predict the fatigue damage of helical spring. The obtained result indicated that unpaved road has the highest fatigue damage followed by university road and highway.
650 0 _aStrains and stresses
_xMeasurement
999 _aVIRTUA40
_c312
_d318
999 _aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*9992