The results of an earlier study are utilized to obtain regression model equations for predicting the variation of the fraction of the total pressure loss which is due to duct fittings for varying numbers of air inlets and lengths of extract ventilation ductwork, in a set of ventilation system configurations. The obtained second order equations give a general increase of the fraction from 0.590 to 0.667 for an increase in number of air inlets (and number of ventilated rooms) from 2 to 12 and an increase of the fraction from 0.598 to 0.667 for an increase of duct length from 2.8m to 22.4m. The correlation coefficients for a 90% confidence level are, respectively, 0.707 and 0.713 for the variations of the fitting loss fraction with number of air inlets and length of index duct run. The obtained fractions are useful for quick estimate of total pressure losses in ventilation duct systems, which are needed in determining the fan system pressure requirements.
목차
Abstract 1. Introduction 2. Calculation of Pressure Loss Components 3. Derivation of Regression Models 4. Discussion of Results 5. Conclusions References
키워드
Head loss fractionsventilation systemsregression analysis
저자
John I. Sodiki [ Department of Mechanical Engineering Rivers State University of Science and Technology P. M. B. 5080 Port Harcourt, Nigeria ]
보안공학연구지원센터(IJAST) [Science & Engineering Research Support Center, Republic of Korea(IJAST)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Advanced Science and Technology
간기
월간
pISSN
2005-4238
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Advanced Science and Technology Vol.71