Role of additive manufacturing in developing functionally graded materials for nuclear applications

The global acceptance of additive manufacturing has evolved with time and has proven to provide promising solutions to varied critical requirements of the nuclear industry. The components of a nuclear reactor, when built using additive manufacturing techniques, offer high microstructural control, ma...

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Main Authors: Amal Sasi, Madhulika Srivastava, K. Dash
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-08-01
Series:Frontiers in Nuclear Engineering
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fnuen.2025.1603437/full
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author Amal Sasi
Madhulika Srivastava
K. Dash
author_facet Amal Sasi
Madhulika Srivastava
K. Dash
author_sort Amal Sasi
collection DOAJ
description The global acceptance of additive manufacturing has evolved with time and has proven to provide promising solutions to varied critical requirements of the nuclear industry. The components of a nuclear reactor, when built using additive manufacturing techniques, offer high microstructural control, making them versatile for a range of properties. These properties can be made easily achievable and tailorable by using functionally graded materials. The nuclear components with a wide range of properties are essential, as the environment inside and outside the reactor varies drastically. This study reviews the current progress in additive manufacturing techniques used for manufacturing functionally graded materials for nuclear applications, highlighting the gradient design methodologies and processing techniques. Additive Manufacturing techniques such as selective laser melting uses multiple powder feeders, and mechanical pre-mixing of powders along with controlled process parameters for effectively fabricating functionally graded materials. These materials possess superior mechanical properties (such as microhardness ranging up to 890 H00.5 and compressive strength up to 2040 MPa for FeCrCoNiMo0.5W0.75), thermal conductivity and thermal properties compared to monolithic counterparts. A comparative analysis of the manufacturing capabilities of the additive manufacturing techniques, along with the usage of advanced computational techniques such as AI in optimising process parameters for desirable strength and low defect generation, is also presented. The study emphasises on the need for strategies such as process parameters optimisation and data-driven design to fully utilise the potential of additively manufactured functionally graded materials in the nuclear sector.
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spelling doaj-art-bf69f4bb89f24d198ef7e9532d95c8392025-08-21T05:27:14ZengFrontiers Media S.A.Frontiers in Nuclear Engineering2813-34122025-08-01410.3389/fnuen.2025.16034371603437Role of additive manufacturing in developing functionally graded materials for nuclear applicationsAmal Sasi0Madhulika Srivastava1K. Dash2Department of Physics, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Chennai, IndiaDepartment of Mechanical Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Chennai, IndiaDepartment of Chemistry, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Chennai, IndiaThe global acceptance of additive manufacturing has evolved with time and has proven to provide promising solutions to varied critical requirements of the nuclear industry. The components of a nuclear reactor, when built using additive manufacturing techniques, offer high microstructural control, making them versatile for a range of properties. These properties can be made easily achievable and tailorable by using functionally graded materials. The nuclear components with a wide range of properties are essential, as the environment inside and outside the reactor varies drastically. This study reviews the current progress in additive manufacturing techniques used for manufacturing functionally graded materials for nuclear applications, highlighting the gradient design methodologies and processing techniques. Additive Manufacturing techniques such as selective laser melting uses multiple powder feeders, and mechanical pre-mixing of powders along with controlled process parameters for effectively fabricating functionally graded materials. These materials possess superior mechanical properties (such as microhardness ranging up to 890 H00.5 and compressive strength up to 2040 MPa for FeCrCoNiMo0.5W0.75), thermal conductivity and thermal properties compared to monolithic counterparts. A comparative analysis of the manufacturing capabilities of the additive manufacturing techniques, along with the usage of advanced computational techniques such as AI in optimising process parameters for desirable strength and low defect generation, is also presented. The study emphasises on the need for strategies such as process parameters optimisation and data-driven design to fully utilise the potential of additively manufactured functionally graded materials in the nuclear sector.https://www.frontiersin.org/articles/10.3389/fnuen.2025.1603437/fulladditive manufacturingfunctionally graded materialnuclear componentgradient microstructuremachine learning
spellingShingle Amal Sasi
Madhulika Srivastava
K. Dash
Role of additive manufacturing in developing functionally graded materials for nuclear applications
Frontiers in Nuclear Engineering
additive manufacturing
functionally graded material
nuclear component
gradient microstructure
machine learning
title Role of additive manufacturing in developing functionally graded materials for nuclear applications
title_full Role of additive manufacturing in developing functionally graded materials for nuclear applications
title_fullStr Role of additive manufacturing in developing functionally graded materials for nuclear applications
title_full_unstemmed Role of additive manufacturing in developing functionally graded materials for nuclear applications
title_short Role of additive manufacturing in developing functionally graded materials for nuclear applications
title_sort role of additive manufacturing in developing functionally graded materials for nuclear applications
topic additive manufacturing
functionally graded material
nuclear component
gradient microstructure
machine learning
url https://www.frontiersin.org/articles/10.3389/fnuen.2025.1603437/full
work_keys_str_mv AT amalsasi roleofadditivemanufacturingindevelopingfunctionallygradedmaterialsfornuclearapplications
AT madhulikasrivastava roleofadditivemanufacturingindevelopingfunctionallygradedmaterialsfornuclearapplications
AT kdash roleofadditivemanufacturingindevelopingfunctionallygradedmaterialsfornuclearapplications