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RISS 인기검색어
- 검색키워드
- 저자 : Chaisson, C. (검색결과 2 건)
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Design optimization of a wind tunnel force balance using stepwise response surface method
Thomas Chaisson,Soobum Lee,Devin E. Burns 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.6
A force balance measures the forces being applied to an object in a wind tunnel test. The force balance needs to be optimized to generate an acceptable gauge reading while guaranteeing no structural failure by the wind tunnel loadings. This paper proposes a stepwise response surface method (RSM) for design optimization of a force balance. Three sampling techniques were tried in the RSM study, and finite element simulation was used for functional evaluation. The first trial was based on broad sampling, followed by a second trial based on narrow sampling. The data from these trials was then utilized in a final regression, in which a quadratic model was generated to identify the final optimum point. The final design of the force balance provides satisfactory gauge readings with decreased stress values even though the roll moment is greatly increased.
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Association between Serum Antibodies to Oral Microorganisms and Hyperglycemia in Adults
Merchant, A.T.,Shrestha, D.,Chaisson, C.,Choi, Y.H.,Hazlett, L.J.,Zhang, J. SAGE Publications 2014 Journal of dental research Vol.93 No.8
<P>We conducted a cross-sectional analysis to evaluate the relationship between serum antibody titers against 19 selected oral microorganisms and measures of hyperglycemia in a large, nationally representative data set. The study population consisted of 7,848 participants from the National Health and Nutrition Examination Survey III (1988-1994) who were at least 40 yrs old, with complete serum IgG antibody data against 19 oral microorganisms. The 19 antibody titers were grouped into 4 categories via cluster analysis—orange-red, yellow-orange, orange-blue, and red-green—named to reflect predominant antibody titers against microorganisms in Socransky’s classification scheme for oral microbes. Linear regression models weighted for complex survey design were used in which fasting blood glucose, fasting insulin, and HbA1c were outcomes and antibody cluster scores were exposures, adjusting for potential confounders. Higher orange-red cluster scores were associated with increased hyperglycemia, while higher orange-blue cluster scores were related with decreased hyperglycemia. A 1-unit-higher orange-red cluster score was associated with 0.46 mg/dL higher fasting blood glucose (<I>p</I> = .0038), and a 1-unit-higher orange-blue cluster score was associated with 0.34% lower HbA1c (<I>p</I> = .0257). Groups of antibody titers against periodontal microorganisms were associated with hyperglycemia independent of known risk factors.</P>
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