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Comprehensive Studies on Hot Compaction and Vibration-Assisted Compaction Tests of Aluminum Powder

Journal Article · · Journal of Manufacturing Science and Engineering
DOI:https://doi.org/10.1115/1.4047998· OSTI ID:1848600
 [1];  [2];  [3];  [2]
  1. Department of Mechanical and Aerospace of Engineering, University of Central Florida, 4000 Central Florida Blvd., Orlando, FL 32816; OSTI
  2. Department of Mechanical and Aerospace of Engineering, University of Central Florida, 4000 Central Florida Blvd., Orlando, FL 32816
  3. Department of Mechanical and Aerospace of Engineering, University of Central Florida, 4000 Central Florida Blvd., Orlando, FL 32816,; MEMS and Nanomaterials Lab, University of Central Florida, Orlando, FL 32816

Abstract

Aluminum powder compaction was studied using both test and simulation. Cold compaction, hot compaction, and vibration-assisted (cold) compaction tests were conducted to achieve different density ratios. First, the hot compaction test (at 300 °C, compression pressure 140 MPa) improved about 6% compared with cold compaction under the same compression pressure. Second, although the relative density ratio does not obviously improve at a vibration-assisted (cold) compaction, the strength of the specimens made under vibration loading is much better than those of cold compaction. Additionally, finite element models with well-calibrated Drucker–Prager Cap (DPC) material constitutive model were built in abaqus/standard to simulate the powder compaction process. The results of the finite element model have very good correlations with test results up to the tested range, and this finite element model further predicts the loading conditions needed to achieve the higher density ratios. Two exponential equations of the predicted density ratio were obtained by combining the test data and the simulation results. A new analytical solution was developed to predict the axial pressure versus the density ratio for the powder compaction according to DPC material model. The results between the analytical solution and the simulation model have a very good match.

Research Organization:
Univ. of Central Florida, Orlando, FL (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
DOE Contract Number:
EE0007864
OSTI ID:
1848600
Journal Information:
Journal of Manufacturing Science and Engineering, Journal Name: Journal of Manufacturing Science and Engineering Journal Issue: 1 Vol. 143; ISSN 1087-1357
Publisher:
ASME
Country of Publication:
United States
Language:
English

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