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논문 기본 정보

자료유형
학술대회자료
저자정보
이재혁 (고등기술연구원) 허덕재 (고등기술연구원) 고동신 (고등기술연구원) 이성수 (크레신)
저널정보
대한기계학회 대한기계학회 춘추학술대회 대한기계학회 창립 70주년 기념 학술대회
발행연도
2015.11
수록면
3,531 - 3,536 (6page)

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This study describes the characteristics on the electromagnetic force and the frequency bandwidth of the design parameters for upgrading the vibrator. Performance improvement is to maximize the band width at a constant acceleration. Design parameters were selected for the relevant position, height and width of the permanent magnet affecting to the excitation forces and were selected the spring stiffness and magnet weight affecting to the frequency response function. To consider the effect on electromagnetic force and band width improvement, this study was analyzed by both an independently variable and the coupled multi variables in these factors. Multi-factor analysis of the variables was applied to the full factorial experimental design, predictive model was induce the second order regression equation which include the nonlinearity of utilizes response surface methodology. In addition, performance prediction of electromagnetic force and band width for probability distribution of the physical design parameters was analyzed using Monte Carlo simulation applied to the regression model.
A significance of the independence and interaction of the factors was analyzed by F-test, and it appeared to be the effective six variables which are three independence variables and three interaction effect variables. It was able to the design target value in the analysis of confidence interval over 99.7%, and the probability distribution of electromagnetic force was obtained in a mean value of 0.0399N and standard deviation 0.006N which is increased 73.5% from the design target value, the probability distribution of band width was obtained in a mean value of 27.86㎐ and standard deviation 4.54㎐ which is increased 85.7% from the design target value. It is determined to be able to make verification the design variable on performance and a reliable verification on prediction result by statistical analysis.

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UCI(KEPA) : I410-ECN-0101-2016-550-002169702