Inference for deformation and interference in 3D printing

A. Sabbaghi, T. Dasgupta, Q. Huang, J. Zhang

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

Abstract

Additive manufacturing, or 3D printing, is a promising manufacturing technique marred by product deformation due to material solidification in the printing process. Control of printed product deformation can be achieved by a compensation plan. However, little attention has been paid to interference in compensation, which is thought to result from the inevitable discretization of a compensation plan. We investigate interference with an experiment involving the application of discretized compensation plans to cylinders. Our treatment illustrates a principled framework for detecting and modeling interference, and ultimately provides a new step toward better understanding quality control for 3D printing.

Original languageEnglish (US)
Pages (from-to)1395-1415
Number of pages21
JournalAnnals of Applied Statistics
Volume8
Issue number3
DOIs
StatePublished - Sep 1 2014
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Modeling and Simulation
  • Statistics, Probability and Uncertainty

Keywords

  • Additive manufacturing
  • Posterior predictive checks
  • Quality control
  • Rubin Causal Model
  • Stable unit-treatment value assumption

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