JSM 2013 Home
Online Program Home
My Program

Abstract Details

Activity Number: 131
Type: Contributed
Date/Time: Monday, August 5, 2013 : 8:30 AM to 10:20 AM
Sponsor: Section on Physical and Engineering Sciences
Abstract - #307649
Title: Inference for Deformation and Interference in 3D Printing
Author(s): Arman Sabbaghi*+ and Tirthankar Dasgupta and Jizhe Zhang and Qiang Huang
Companies: Harvard University and Harvard University and University of Southern California and University of Southern California
Keywords: 3D printing ; additive manufacturing ; posterior predictive checks
Abstract:

Additive manufacturing, or 3D printing, is a promising manufacturing technique. Material solidification in the printing process leads to product deformation, which reduces the utility of printed products. Control of product deformations can be achieved by compensation plans. 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 compensations to cylinders. Our treatment illustrates a principled framework for detecting interference, and for addressing complications in modeling deformations under discretized compensations, which facilitates the study of printing processes. Properly defining experimental units and understanding interference are critical for quality control in complex engineering processes. Our work ultimately provides a step in that direction for 3D printing.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2013 program




2013 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

ASA Meetings Department  •  732 North Washington Street, Alexandria, VA 22314  •  (703) 684-1221  •  meetings@amstat.org
Copyright © American Statistical Association.