How to Reduce Errors in Test Sieving

Müller, Helmut; Kubier, Bernd; Rudolph, Lutz

doi:10.1002/ppsc.19870040115

Cited by 3 publications

(1 citation statement)

References 2 publications

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“…Muller and co-workers (01) described approaches that can be taken to reduce errors during sieving. Scott (02) discussed sample preparation and procedures for determining particle-size distribution by sieving.…”

Section: Sieves/filtrationmentioning

confidence: 99%

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Barth¹,

Sun²

1989

Anal. Chem.

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is a member of the research staff of the Analytical Division of the Central Research & Development Department at Du Pont Experimental Station. Wilmington. Delaware Before joining the Du Pont Company in 1988. he was a research scientist and group leader at Hercules Research Center. He received his B A (1969) and Ph D. (1973) in analytical chemistry from Northeastern University. He is a frequent lecturer at short courses sponsored by the ACS Polymeric Materials Science and Engineering Division. His specialties include polymer characterization, size exclusion chromatography, and high-performance liquid chromatography. He has published over 40 papers in these areas and has also edited a book. Modern Methods of Particle Size Analysis. published by Wiley. Barth was on the Instrumentation Advisory Panel of Analytical Chemistry and was Associate Editor of the Journal of Applied Polymer Science.He is cofounder of the International Symposium on Polymer Analysis and Characterization and is past Chairman of the Delaware Section of the ACS. Dr. Barth is a member of the ACS divisions of Analytical Chemistry, Polymer Chemistry, and Polymeric Materials Science and Engineering, and the ASTM. AAAS, and the Delaware Valley Chromatography Forum. He is also a Fellow of the American Institute of Chemists.Shao-Tang Sun is a senior research physicist with the Physics Division of Hercules Research Center in Wilmington. Delaware. He is project leader of the optoelectronics program He received his B.S. (1972) in physics from Tunghai University. Taiwan, and Ph D. (1978) in physics from the State University of New York at Buffalo. Before joining Hercules. Inc., in 1983. he was a postdoctoral research associate at the Center for Materials Science and Engineering. Massachusetts Institute of Technology. He is interested in applying physics concepts and methods to the understanding of polymeric and biological systems and is also interested in optical properties of materials. He is the author of more than 20 publications in light scattering, phase transition, polymer physics, and biophysics. He is a member of the American Physical Society.

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Section: Sieves/filtrationmentioning

confidence: 99%

Coatings

Barth¹,

Sun²

1989

Anal. Chem.

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Precision of the Grain Size Coefficient (K‐Coefficient) of concrete aggregates — a problem of sampling, sample division and sieve analysis

Rasemann¹,

Schmatz²

1993

Part & Part Syst Charact

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Concrete quality is influenced to a high degree by the granulometry of the aggregates used. In the construction industry, the grain size coefficient of K‐coefficient is used as a quantity for the characterization of granulometry. In practice, this quantity is determined experimentally, and it is therefore a random variable influenced by material heterogeneity and errors in sampling, sample preparation and size analysis. Depending on the final use, in concrete production often an aggregate is required, the grain size coefficient of which can be adjusted to a given value Krequ with a prescribed precision. For this reason, continuous supervision of the aggregate quality is necessary using, e. g., automatic sampling and opto‐electronic measuring equipment. In order to determine the optimum conditions for the installation of such equipment, the variances of the possible errors must be established. Further, methods for their restriction are necessary. In this paper, investigations involving hand sampling and hand sieving and on the example of a reference gravel plant are reported. The investigations reveal that, for the materials involved, primary samples of at least 1600 g were necessary, which then could be reduced to 200 g by sample splitting, in order to obtain the accuracy desired.

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Recent Advances in Particle Size Measurements: A Critical Review

Miller¹,

Lines²

1988

C R C Critical Reviews in Analytical Chemistry

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How to Reduce Errors in Test Sieving

Cited by 3 publications

References 2 publications

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Precision of the Grain Size Coefficient (K‐Coefficient) of concrete aggregates — a problem of sampling, sample division and sieve analysis

Recent Advances in Particle Size Measurements: A Critical Review

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