skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Statistical Derivation of Defect Populations in an Ensemble Build of AM Tensile Samples.

Abstract

Abstract not provided.

Authors:
; ; ; ; ; ; ;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1375096
Report Number(s):
SAND2016-7661C
646455
DOE Contract Number:
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the 2016 Annual International Solid Freeform Fabrication Symposium held August 8-10, 2016 in Austin, TX, U.S.A..
Country of Publication:
United States
Language:
English

Citation Formats

Madison, Jonathan D, Finfrock, Christopher, Swiler, Laura Painton, Underwood, Olivia De'Haven, Boyce, Brad Lee, Jared, Bradley Howell, Rodelas, Jeffrey, and Salzbrenner, Bradley. Statistical Derivation of Defect Populations in an Ensemble Build of AM Tensile Samples.. United States: N. p., 2016. Web.
Madison, Jonathan D, Finfrock, Christopher, Swiler, Laura Painton, Underwood, Olivia De'Haven, Boyce, Brad Lee, Jared, Bradley Howell, Rodelas, Jeffrey, & Salzbrenner, Bradley. Statistical Derivation of Defect Populations in an Ensemble Build of AM Tensile Samples.. United States.
Madison, Jonathan D, Finfrock, Christopher, Swiler, Laura Painton, Underwood, Olivia De'Haven, Boyce, Brad Lee, Jared, Bradley Howell, Rodelas, Jeffrey, and Salzbrenner, Bradley. 2016. "Statistical Derivation of Defect Populations in an Ensemble Build of AM Tensile Samples.". United States. doi:. https://www.osti.gov/servlets/purl/1375096.
@article{osti_1375096,
title = {Statistical Derivation of Defect Populations in an Ensemble Build of AM Tensile Samples.},
author = {Madison, Jonathan D and Finfrock, Christopher and Swiler, Laura Painton and Underwood, Olivia De'Haven and Boyce, Brad Lee and Jared, Bradley Howell and Rodelas, Jeffrey and Salzbrenner, Bradley},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2016,
month = 8
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

Save / Share:
  • Abstract not provided.
  • This Paper develops a statistical strength theory for three-dimensionally (3-D) oriented short-fiber reinforced composites. Short-fiber composites are usually reinforced with glass and ceramic short fibers and whiskers. These reinforcements are brittle and display a range of strength values, which can be statistically characterized by a Weibull distribution. This statistical nature of fiber strength needs to be taken into account in the prediction of composite strength. In this paper, the statistical nature of fiber strength is incorporated into the calculation of direct fiber strengthening, and a maximum-load composite failure criterion is adopted to calculate the composite strength. Other strengthening mechanisms suchmore » as residual thermal stress, matrix work hardening, and short-fiber dispersion hardening are also briefly discussed.« less
  • The single-hit multitarget cellular lethality model requires four to six parameters in order to simulate a complete course of fractionated radiation therapy and derives an estimate of the cellular-surviving fraction for a given treatment scheme. These parameters are the mean cellular lethal dose, the extrapolation number, the ratio of sublethal to irreparable events, the regeneration rate, and, in some instances, the repopulation limit (cell cycles), and a field-size or tumor-volume factor. If a number of different fractionation schemes yield similar reactions, the surviving fractions are presumed to be about equal in each instance. Under these circumstances, an equivalent number ofmore » simultaneous equations can be set up and the unknown parameters then derived by iterative numerical methods. A computer program was designed for this purpose and tested on available clinical and experimental data. Parameters were derived for skin tolerance and cure of epidermoid cancer in man, for radiation reactions in pig skin, rat spinal cord, various mouse tissues, and for control of mouse mammary carcinoma irradiated in situ. In some systems analogous parameters could be obtained for both X rays and neutrons, thus providing the coefficients required to calculate neutron RBE's for these tissues.« less
  • A recently proposed method, Monte Carlo simulation in the Gibbs ensemble, allows the prediction of phase equilibria from knowledge of the intermolecular forces. A single computer experiment is required per coexistence point for a system with an arbitrary number of components. The new technique has significant advantages relative to free-energy methods that have been used for phase equilibrium calculations is the past. In this work, a variation of the Gibbs method appropriate for calculations in mixtures with large differences in molecular size is developed. The method is applied for the calculation of high-pressure phase equilibria in two mixtures of simplemore » monatomic fluids, the systems argon-krypton and neon-xenon. Pairwise additive potential functions of the Lennard-Jones type are used to describe the intermolecular interactions. Agreement with experimental results is generally good over a wide range of temperatures and pressures, including the fluid-fluid immiscibility region for the neon-xenon system. Results from the Van der Waals one-fluid theory are compared with experimental data and computer simulation predictions. Agreement is excellent for the mixture with small differences in size (argon-krypton), but the theory fails to describe the coexistence curve for the highly asymmetric system neon-xenon.« less