0
research-article

Part Build Orientation Optimization and Geometry Compensations for Additive Manufacturing Process

[+] Author and Article Information
Sushmit Chowdhury

Center for Global Design and Manufacturing, Dept. of Mechanical and Materials Engineering, University of Cincinnati, Cincinnati, OH 45220
chowdhst@mail.uc.edu

Kunal Mhapsekar

Center for Global Design and Manufacturing, Dept. of Mechanical and Materials Engineering, University of Cincinnati, Cincinnati, OH 45220
mhapsekl@mail.uc.edu

Sam Anand

Center for Global Design and Manufacturing, Dept. of Mechanical and Materials Engineering, University of Cincinnati, Cincinnati, OH 45220
sam.anand@uc.edu

1Corresponding author.

ASME doi:10.1115/1.4038293 History: Received June 03, 2017; Revised September 20, 2017

Abstract

Significant advancements in the field of additive manufacturing have increased the popularity of AM in mainstream industries. The dimensional accuracy and surface finish of parts manufactured using AM depend on the AM process and the accompanying process parameters. Part build orientation is one of the most critical process parameters, since it has a direct impact on the part quality measurement metrics such as cusp error, manufacturability concerns for geometric features such as thin regions and small openings, and support structure parameters. In conjunction with the build orientation, the cyclic heating and cooling of the material involved in the AM processes, leads to nonuniform deformations throughout the part. These factors cumulatively affect the design conformity, surface finish, and the postprocessing requirements of the manufactured parts. In this paper, a two-step part build orientation optimization and thermal compensation methodology is presented to minimize the geometric inaccuracies resulting in the part during the AM process. In the first step, a weighted optimization model is used to determine the optimal build orientation for a part with respect to the aforementioned part quality and manufacturability metrics. In the second step, a novel Artificial Neural Network based geometric compensation methodology is used on the part in its optimal orientation to make appropriate geometric modifications to counteract the thermal effects resulting from the AM process. The effectiveness of this compensation is assessed on an example part using a new point cloud to part conformity metric and shows significant improvements in the manufactured part’s geometric accuracy.

Copyright (c) 2017 by ASME
Your Session has timed out. Please sign back in to continue.

References

Figures

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In