Maximizing Energy Efficiency in Additive Manufacturing: A Review and Framework for Future Research

Gokan May () and Foivos Psarommatis
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Gokan May: Department of Mechanical Engineering, University of North Florida, Jacksonville, FL 32224, USA
Foivos Psarommatis: SIRIUS, Department of Informatics, University of Oslo, Problemveien 11, 0313 Oslo, Norway

Energies, 2023, vol. 16, issue 10, 1-28

Abstract: Additive manufacturing (AM) offers unique capabilities in terms of design freedom and customization, contributing to sustainable manufacturing. However, energy efficiency remains a challenge in the widespread adoption of AM processes. In this paper, we present a comprehensive review of the current research on energy efficiency in AM, addressing challenges, opportunities, and future directions. Our analysis reveals a lack of standardization in the measurement and reporting of energy consumption, making it difficult to evaluate and compare the energy performance of various systems. We propose a holistic framework to address energy efficiency throughout the entire life cycle of the AM process, highlighting the importance of design optimization, material selection, advanced control systems, and energy management strategies. The paper also emphasizes the need for further research on the interactions between process parameters, along with the potential of integrating renewable energy sources into AM systems. This review offers valuable insights for both academics and industry professionals, calling for standardized methodologies and a focus on energy management to optimize energy efficiency in AM processes, ultimately enhancing competitiveness and sustainability in modern manufacturing.

Keywords: additive manufacturing; energy efficiency; sustainability; process optimization; renewable energy; energy management (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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