(DURIP) DESIGN AND BUILD OF A NEW MACHINE FOR RAPID SCREENING OF METAL ALLOYS FOR DUCTILITY

Abstract

It is proposed to design and build a new machine that will allow rapid exploration and screening of the vast metal alloy chemistry and processing history spaces for targeted combinations of finite strain plastic properties (e.g., ultimate tensile strength, uniform ductility, total ductility) using very small quantities of materials, specifically in the form of thin sheets (approximately hundreds of microns in thickness). The new machine will be designed mainly using the established concept of a small punch test (SPT) that has been used extensively in the nuclear industry for the past 30 years, where there is a critical need to evaluate the degradation of mechanical properties using small volume samples. The new machine will be designed to provide consistent and highly reproducible data on parallelized tests (i.e., multiple SPTs conducted simultaneously on a given sheet of the material) and allow automation (in going from one set of SPTs to the next set of SPTs either on the same sheet or on different sheets) in order to dramatically increase the throughput of the test data. Our goal is to design the machine to allow several hundreds of SPTs in about an hour. The analyses of the raw load-displacement data acquired in the tests and the estimation of reliable and meaningful tensile stress-strain curves from the acquired datasets will be accomplished using the Bayesian analysis frameworks developed recently by the PI’s research group.

Document Details

Document Type
DoD Grant Award
Publication Date
Aug 12, 2021
Source ID
FA95502010290

Entities

People

  • Surya R. Kalidindi

Organizations

  • Air Force Office of Scientific Research
  • Georgia Tech Research Corporation
  • United States Air Force

Tags

Readers

  • Distributed Systems and Data Platform Development
  • Game Theory.
  • Mechanical Engineering/Mechanics of Materials.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Neural Networks
  • Space