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Personalized design of part orientation in additive manufacturing

Cong Yu (School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China)
LongFei Qie (School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China and College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing, China)
ShiKai Jing (School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China)
Yan Yan (School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China)

Rapid Prototyping Journal

ISSN: 1355-2546

Article publication date: 29 August 2019

Issue publication date: 7 November 2019

214

Abstract

Purpose

Orientation determination is an essential planning task in additive manufacturing (AM) because it directly affects the part quality, build time, geometric tolerance, fabrication cost, etc. This paper aims to propose a negative feedback decision-making (NFDM) model to realize the personalized design of part orientation in AM process.

Design/methodology/approach

NFDM model is constructed by integrating two sub-models: proportional–integral–derivative (PID) negative feedback control model and technique for order preference by similarity to an ideal solution (TOPSIS) decision-making model. With NFDM model, a desired target is first specified by the user. Then, the TOPSIS decision model calculates the “score” for the current part orientation. TOPSIS decision model is modified for ease of control. Finally, the PID controller automatically rotates the part based on the error between the user-specified target and the calculated “score”. Part orientation adjustment is completed when the error is eliminated. Five factors are considered in NFDM model, namely, surface roughness, support structure volume, geometric tolerance, build time and fabrication cost.

Findings

The case studies of turbine fan and dragon head indicate that the TOPSIS model can be perfectly integrated with the PID controller. This work extends the proposed model to different AM processes and investigates the feasibility of combining different decision-making models with PID controller and the effects of including various evaluation criteria in the integrated model.

Originality/value

The proposed model innovatively takes the TOPSIS decision-making model and the PID control model as a whole. In this way, the uncontrollable TOPSIS model becomes controllable, so the proposed model can control the TOPSIS model to achieve the user-specified targets.

Keywords

Acknowledgements

The authors gratefully acknowledge the fund support from National Key Research and Development Program of China [grant numbers 2017YFB1102804]; National High-tech R&D Program (863 Program) [grant numbers 2015AA042505]. The authors thank the anonymous reviewers for their valuable comments.

Citation

Yu, C., Qie, L., Jing, S. and Yan, Y. (2019), "Personalized design of part orientation in additive manufacturing", Rapid Prototyping Journal, Vol. 25 No. 10, pp. 1647-1660. https://doi.org/10.1108/RPJ-12-2018-0309

Publisher

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Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited

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