Chemical Design of Structural Ceramics

Abstract

A major aim of this program was to establish computational techniques based on statistical methodologies for the compositional design of structural ceramics. For the purposes of this study we are focusing on silicon nitride based ceramics. The enhancement of properties in silicon nitride based ceramics has come through a combination of controlling chemistry and microstructure. Since no single ab-initio theory can address all relevant properties we had to first establish a workable database from which we could then begin to apply statistical techniques to aid in a design strategy for materials chemistry. The work to date has resulted in The establishment of a digital library and data warehousing for silicon nitride. Application of multivariate statistics tools on these data sets. Testing of these methods for their predictive capabilities. Developing a microanalytical database on grain boundary chemistry. Identification of the role of additive chemistry on the sintering and fracture toughness characteristics of silicon nitride.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2001
Accession Number
ADA418023

Entities

People

  • Krishna Rajan

Organizations

  • Rensselaer Polytechnic Institute

Tags

Communities of Interest

  • Advanced Electronics

DTIC Thesaurus Topics

  • Ceramic Materials
  • Chemistry
  • Data Mining
  • Data Science
  • Data Sets
  • Databases
  • Engineering
  • Grain Boundaries
  • Information Science
  • Materials
  • Materials Engineering
  • Materials Science
  • Mechanical Properties
  • Physical Properties
  • Structural Ceramics
  • Supervised Machine Learning
  • Technical Ceramics

Readers

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