Simulation-guided feedforward-feedback control of melt pool temperature in directed energy deposition

Shuheng Liao; Jihoon Jeong; Rujing Zha; Tianju Xue; Jian Cao

doi:10.1016/j.cirp.2023.03.014

Simulation-guided feedforward-feedback control of melt pool temperature in directed energy deposition

Shuheng Liao, Jihoon Jeong, Rujing Zha, Tianju Xue, Jian Cao^*

^*Corresponding author for this work

Research output: Contribution to journal › Journal Article › peer-review

19 Citations (Scopus)

Abstract

High-performance closed-loop control systems are crucial to process stability and part quality in additive manufacturing processes. In this work, a simulation-guided feedforward-feedback control framework is developed for the directed energy deposition process to effectively control the melt pool temperature. The developed framework consists of two stages: offline iterative finite element simulation for feedforward control and online photodiode-based temperature monitoring for feedback control. The experimental results show that the feedforward-feedback control method can significantly improve the control performance when compared to the conventional feedback control method.

Original language	English
Pages (from-to)	157-160
Number of pages	4
Journal	CIRP Annals - Manufacturing Technology
Volume	72
Issue number	1
DOIs	https://doi.org/10.1016/j.cirp.2023.03.014
Publication status	Published - Jan 2023
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2023 CIRP

Keywords

Additive manufacturing
Finite element method
Process control
Temperature

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.cirp.2023.03.014

Cite this

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title = "Simulation-guided feedforward-feedback control of melt pool temperature in directed energy deposition",

abstract = "High-performance closed-loop control systems are crucial to process stability and part quality in additive manufacturing processes. In this work, a simulation-guided feedforward-feedback control framework is developed for the directed energy deposition process to effectively control the melt pool temperature. The developed framework consists of two stages: offline iterative finite element simulation for feedforward control and online photodiode-based temperature monitoring for feedback control. The experimental results show that the feedforward-feedback control method can significantly improve the control performance when compared to the conventional feedback control method.",

keywords = "Additive manufacturing, Finite element method, Process control, Temperature",

author = "Shuheng Liao and Jihoon Jeong and Rujing Zha and Tianju Xue and Jian Cao",

note = "Publisher Copyright: {\textcopyright} 2023 CIRP",

year = "2023",

month = jan,

doi = "10.1016/j.cirp.2023.03.014",

language = "English",

volume = "72",

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TY - JOUR

T1 - Simulation-guided feedforward-feedback control of melt pool temperature in directed energy deposition

AU - Liao, Shuheng

AU - Jeong, Jihoon

AU - Zha, Rujing

AU - Xue, Tianju

AU - Cao, Jian

PY - 2023/1

Y1 - 2023/1

N2 - High-performance closed-loop control systems are crucial to process stability and part quality in additive manufacturing processes. In this work, a simulation-guided feedforward-feedback control framework is developed for the directed energy deposition process to effectively control the melt pool temperature. The developed framework consists of two stages: offline iterative finite element simulation for feedforward control and online photodiode-based temperature monitoring for feedback control. The experimental results show that the feedforward-feedback control method can significantly improve the control performance when compared to the conventional feedback control method.

AB - High-performance closed-loop control systems are crucial to process stability and part quality in additive manufacturing processes. In this work, a simulation-guided feedforward-feedback control framework is developed for the directed energy deposition process to effectively control the melt pool temperature. The developed framework consists of two stages: offline iterative finite element simulation for feedforward control and online photodiode-based temperature monitoring for feedback control. The experimental results show that the feedforward-feedback control method can significantly improve the control performance when compared to the conventional feedback control method.

KW - Additive manufacturing

KW - Finite element method

KW - Process control

KW - Temperature

UR - https://www.webofscience.com/wos/woscc/full-record/WOS:001054540700001

UR - https://openalex.org/W4367299705

UR - https://www.scopus.com/pages/publications/85153885049

U2 - 10.1016/j.cirp.2023.03.014

DO - 10.1016/j.cirp.2023.03.014

M3 - Journal Article

SN - 0007-8506

VL - 72

SP - 157

EP - 160

JO - CIRP Annals - Manufacturing Technology

JF - CIRP Annals - Manufacturing Technology

IS - 1

ER -

Simulation-guided feedforward-feedback control of melt pool temperature in directed energy deposition

Abstract

Bibliographical note

Keywords

UN SDGs

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