Identification of Stochastic Manufacturing Defects Within Additively Manufactured Acoustic Liners

Details

• Creators:
  Windows, Joseph ; Packer, Alden ; Nelson, Eric ; Chowaniec, Jeffrey Jr ; Mendoza, Jeffrey ; Reimann, Craig ; Winkler, Julian ; Homma, Kenji ; Meisel, Nicholas
• Corporate Creators:
  United States. Department of Transportation. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment ; Pennsylvania State University
• Corporate Contributors:
  United States. Department of Transportation. Federal Aviation Administration. Office of Environment and Energy
• Subject/TRT Terms:
  Acoustics Additive Manufacturing ASCENT Aviation Manufacturing Noise Control Three Dimensional Printing
• Resource Type:
  Proceedings
• Right Statement:
  Open Access; https://creativecommons.org/licenses/by/4.0/
• Geographical Coverage:
  United States
• Corporate Publisher:
  The Minerals, Metals & Materials Society (TMS)
• Abstract:
  The exploration of novel acoustic liner designs using 3D internal lattices has become a growing topic of interest within the field of additive manufacturing (AM). However, the comparison between the acoustic liner response of computational simulation and experimental testing tends to show significant deviation. A potential cause of this deviation is the inclusion of stochastic manufacturing defects within the part. This paper establishes a pipeline for systematically identifying and quantifying manufacturing defects in the printing of acoustic liners. This approach intends to offer up significant insight into the build quality of the printed lattice structures without the cost and time investment typically required of computed tomography (CT) scanning. The core of the liner design analyzed in this paper is made up of a Schwarz P lattice. Error distributions of several design variables are found by taking manual measurements of printed liners. Additionally, liners are scored using an automated screening method to detect significantly flawed prints. The potential for error distributions to be used in stochastic simulation studies could help predict what effect manufacturing defects have on the behavior of acoustic liners.
• Format:
  PDF
• Funding:
  13-C-AJFE-PSU-113
• Collection(s):
  Federal Aviation Administration
• Main Document Checksum:
  urn:sha-512:39714018cf08c41862deaa2cc5fdcb44cc400b1495dc33a1f1c359cb7598a35ad9c5ee8bcd841a40d506b5a84acb2b6e1ebeddd8c7a68a08c8b8c96da3d6b82f
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/89750/dot_89750_DS1.pdf
• File Type:
  [PDF - 1.20 MB ]