The Annals of Applied Statistics

Inference for deformation and interference in 3D printing

Arman Sabbaghi, Tirthankar Dasgupta, Qiang Huang, and Jizhe Zhang

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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.

Article information

Source
Ann. Appl. Stat., Volume 8, Number 3 (2014), 1395-1415.

Dates
First available in Project Euclid: 23 October 2014

Permanent link to this document
https://projecteuclid.org/euclid.aoas/1414091218

Digital Object Identifier
doi:10.1214/14-AOAS762

Mathematical Reviews number (MathSciNet)
MR3271337

Zentralblatt MATH identifier
1303.62115

Keywords
Additive manufacturing posterior predictive checks quality control Rubin Causal Model stable unit-treatment value assumption

Citation

Sabbaghi, Arman; Dasgupta, Tirthankar; Huang, Qiang; Zhang, Jizhe. Inference for deformation and interference in 3D printing. Ann. Appl. Stat. 8 (2014), no. 3, 1395--1415. doi:10.1214/14-AOAS762. https://projecteuclid.org/euclid.aoas/1414091218


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