450 resultados para Gage


Relevância:

10.00% 10.00%

Publicador:

Resumo:

"Genealogia de Cokefield": p. 144-145.

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Mode of access: Internet.

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Includes index.

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Bibliography: p. 445-452.

Relevância:

10.00% 10.00%

Publicador:

Resumo:

l-r: W. Gage Hoag, Paul Leidy, Edward Lucius (seated), Walter Glass

Relevância:

10.00% 10.00%

Publicador:

Resumo:

[l-r: J.H. Price, W. Gage Hoag, Paul A. Leidy, Frank Ayres

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Back Row: Sol Selevan, Julian (Tex) Robertson, Manley Osgood, Boyd Dennison, Ogden R. Dalrymple, John W. Dersch, Richmond S. Blake, Edwin Gage, ? Williams

Middle Row: Frank B. Fehsenfeld, Richard K. Degener, Taylor D. Drysdale, James C. Cristy, Jr., Mann, Robert J. Renner, Henry C. Kamienski

Front Row: Robert E. Lawrence, Daniel L. Diefendorf, William K. Boice, J. Derland Johnston

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Mode of access: Internet.

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Maps on lining-papers.

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Translation of the author's Allegemeine erdkunde, Berlin, 1862.

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Translation in part of Erdkunde von Asien.

Relevância:

10.00% 10.00%

Publicador:

Resumo:

The uncertainty of measurements must be quantified and considered in order to prove conformance with specifications and make other meaningful comparisons based on measurements. While there is a consistent methodology for the evaluation and expression of uncertainty within the metrology community industry frequently uses the alternative Measurement Systems Analysis methodology. This paper sets out to clarify the differences between uncertainty evaluation and MSA and presents a novel hybrid methodology for industrial measurement which enables a correct evaluation of measurement uncertainty while utilising the practical tools of MSA. In particular the use of Gage R&R ANOVA and Attribute Gage studies within a wider uncertainty evaluation framework is described. This enables in-line measurement data to be used to establish repeatability and reproducibility, without time consuming repeatability studies being carried out, while maintaining a complete consideration of all sources of uncertainty and therefore enabling conformance to be proven with a stated level of confidence. Such a rigorous approach to product verification will become increasingly important in the era of the Light Controlled Factory with metrology acting as the driving force to achieve the right first time and highly automated manufacture of high value large scale products such as aircraft, spacecraft and renewable power generation structures.