A control system design for selective laser melting process: toward sustainable additive manufacturing

Additive manufacturing (AM) has been widely used in industry and academia, exhibiting advantages such as fabricating complex objects and reducing waste compared to conventional manufacturing. Considering the rapid growth of additively manufactured products in the consumer market, studying the sustainability aspects of AM is increasingly gaining attention. Therefore, this paper seeks to contribute to the sustainable manufacturing research domain in the AM processes. The focus of this study is the development of a theoretical model-based control system, which is evaluated against an existing model. To this purpose, a new control system is proposed to achieve a lower process control signal in the selective laser melting (SLM) additive manufacturing process, aiming to reduce energy consumption. The proposed controller seeks to modify the melt pool by manipulating the laser power and applying less laser power to the SLM AM system. This achievement leads to a more sustainable AM process. Also described is the performance of the proposed controller and when compared with other control systems reported in the literature, indicating its superiority in terms of laser power consumption. Furthermore, the robustness of the proposed controller is investigated under conditions of measurement noise and parameter uncertainty using worst-case scenarios and Mont Carlo simulations, indicating its efficacy in real-world scenarios. Finally, some remarks have been made regarding further developing such control systems to provide decision support in finding trade-offs, considering various AM process environmental and sustainability indicators, production time, and part quality.

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Publication Details

Journal
Procedia CIRP
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procir.2024.12.082
Citations
1
Primary Topic
Additive Manufacturing and 3D Printing Technologies
Type
article
Field-Weighted Citation Impact
0.68

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article

A control system design for selective laser melting process: toward sustainable additive manufacturing

Pezhman Ghadimi, Danial Pazoki, Denis Dowling
1 citations
Procedia CIRP
Additive Manufacturing and 3D Printing Technologies
0.68
article

A control system design for selective laser melting process: toward sustainable additive manufacturing

Pezhman Ghadimi, Danial Pazoki, Denis Dowling
article en
1 citations

Abstract

Additive manufacturing (AM) has been widely used in industry and academia, exhibiting advantages such as fabricating complex objects and reducing waste compared to conventional manufacturing. Considering the rapid growth of additively manufactured products in the consumer market, studying the sustainability aspects of AM is increasingly gaining attention. Therefore, this paper seeks to contribute to the sustainable manufacturing research domain in the AM processes. The focus of this study is the development of a theoretical model-based control system, which is evaluated against an existing model. To this purpose, a new control system is proposed to achieve a lower process control signal in the selective laser melting (SLM) additive manufacturing process, aiming to reduce energy consumption. The proposed controller seeks to modify the melt pool by manipulating the laser power and applying less laser power to the SLM AM system. This achievement leads to a more sustainable AM process. Also described is the performance of the proposed controller and when compared with other control systems reported in the literature, indicating its superiority in terms of laser power consumption. Furthermore, the robustness of the proposed controller is investigated under conditions of measurement noise and parameter uncertainty using worst-case scenarios and Mont Carlo simulations, indicating its efficacy in real-world scenarios. Finally, some remarks have been made regarding further developing such control systems to provide decision support in finding trade-offs, considering various AM process environmental and sustainability indicators, production time, and part quality.

Procedia CIRPVol. 135
University College Dublin (IE), I-Form Advanced Manufacturing Research Centre (IE)
Science Foundation Ireland
Responsible consumption and production
Openalex Percentile: Top 27%
Additive Manufacturing and 3D Printing Technologies
0.68
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