Additively manufactured materials and structures: A state-of-the-art review on their mechanical characteristics and energy absorption

•AM techniques used in energy-absorbing materials and structures are reviewed.•AM materials and structures are reviewed with emphasis on energy absorption.•AM-induced defects, and methods for minimizing the effects are discussed.•Numerical approaches for AM energy-absorbing materials and structures...

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Published inInternational journal of mechanical sciences Vol. 246; p. 108102
Main Authors Wu, Yaozhong, Fang, Jianguang, Wu, Chi, Li, Cunyi, Sun, Guangyong, Li, Qing
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 15.05.2023
Subjects
Additive manufacturing
Cellular material
Defect
Energy absorption
Lattice structure
Machine learning
Mechanical property
Optimization
Mechanical property
Machine learning
Cellular material
Defect
Additive manufacturing
Energy absorption
Lattice structure
Optimization
Online AccessGet full text
ISSN0020-7403
DOI10.1016/j.ijmecsci.2023.108102

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Abstract •AM techniques used in energy-absorbing materials and structures are reviewed.•AM materials and structures are reviewed with emphasis on energy absorption.•AM-induced defects, and methods for minimizing the effects are discussed.•Numerical approaches for AM energy-absorbing materials and structures are reviewed.•Data-driven and machine learning-based techniques for DAM are reviewed. Lightweight materials and structures have been extensively studied for a wide range of applications in design and manufacturing of more environment-friendly and more sustainable products, such as less materials and lower energy consumption, while maintaining proper mechanical and energy absorption characteristics. Additive manufacturing (AM) or 3D printing techniques offer more freedom to realize some new designs of novel lightweight materials and structures in an efficient way. However, the rational design for desired mechanical properties of these materials and structures remains a demanding topic. This paper provides a comprehensive review on the recent advances in additively manufactured materials and structures as well as their mechanical properties with an emphasis on energy absorption applications. First, the additive manufacturing techniques used for fabricating various materials and structures are briefly reviewed. Then, a variety of lightweight AM materials and structures are discussed, together with their mechanical properties and energy-absorption characteristics. Next, the AM-induced defects, their impacts on mechanical properties and energy absorption, as well as the methods for minimizing the effects are discussed. After that, numerical modeling approaches for AM materials and structures are outlined. Furthermore, design optimization techniques are reviewed, including parametric optimization, topology optimization, and nondeterministic optimization with fabrication-induced uncertainties. Notably, data-driven and machine learning-based techniques exhibit compelling potential in design for additive manufacturing, process-property relations, and in-situ monitoring. Finally, significant challenges and future directions in this area are highlighted. This review is anticipated to provide a deep understanding of the state-of-the-art additively manufactured materials and structures, aiming to improve the future design for desired mechanical properties and energy absorption. [Display omitted]
AbstractList •AM techniques used in energy-absorbing materials and structures are reviewed.•AM materials and structures are reviewed with emphasis on energy absorption.•AM-induced defects, and methods for minimizing the effects are discussed.•Numerical approaches for AM energy-absorbing materials and structures are reviewed.•Data-driven and machine learning-based techniques for DAM are reviewed. Lightweight materials and structures have been extensively studied for a wide range of applications in design and manufacturing of more environment-friendly and more sustainable products, such as less materials and lower energy consumption, while maintaining proper mechanical and energy absorption characteristics. Additive manufacturing (AM) or 3D printing techniques offer more freedom to realize some new designs of novel lightweight materials and structures in an efficient way. However, the rational design for desired mechanical properties of these materials and structures remains a demanding topic. This paper provides a comprehensive review on the recent advances in additively manufactured materials and structures as well as their mechanical properties with an emphasis on energy absorption applications. First, the additive manufacturing techniques used for fabricating various materials and structures are briefly reviewed. Then, a variety of lightweight AM materials and structures are discussed, together with their mechanical properties and energy-absorption characteristics. Next, the AM-induced defects, their impacts on mechanical properties and energy absorption, as well as the methods for minimizing the effects are discussed. After that, numerical modeling approaches for AM materials and structures are outlined. Furthermore, design optimization techniques are reviewed, including parametric optimization, topology optimization, and nondeterministic optimization with fabrication-induced uncertainties. Notably, data-driven and machine learning-based techniques exhibit compelling potential in design for additive manufacturing, process-property relations, and in-situ monitoring. Finally, significant challenges and future directions in this area are highlighted. This review is anticipated to provide a deep understanding of the state-of-the-art additively manufactured materials and structures, aiming to improve the future design for desired mechanical properties and energy absorption. [Display omitted]
ArticleNumber 108102
Author Wu, Chi
Fang, Jianguang
Li, Cunyi
Li, Qing
Wu, Yaozhong
Sun, Guangyong
Author_xml – sequence: 1
  givenname: Yaozhong
  surname: Wu
  fullname: Wu, Yaozhong
  organization: School of Automobile and Traffic Engineering, Wuhan University of Science and Technology, Wuhan 430081, China
– sequence: 2
  givenname: Jianguang
  orcidid: 0000-0003-0119-6108
  surname: Fang
  fullname: Fang, Jianguang
  email: Jianguang.Fang@uts.edu.au
  organization: School of Civil and Environmental Engineering, University of Technology Sydney, Sydney, NSW 2007, Australia
– sequence: 3
  givenname: Chi
  surname: Wu
  fullname: Wu, Chi
  organization: School of Aerospace, Mechanical and Mechatronic Engineering, The University of Sydney, Sydney, NSW 2006, Australia
– sequence: 4
  givenname: Cunyi
  surname: Li
  fullname: Li, Cunyi
  organization: School of Civil and Environmental Engineering, University of Technology Sydney, Sydney, NSW 2007, Australia
– sequence: 5
  givenname: Guangyong
  surname: Sun
  fullname: Sun, Guangyong
  organization: State Key Laboratory of Advanced Design and Manufacture for Vehicle Body, Hunan University, Changsha, 410082, China
– sequence: 6
  givenname: Qing
  surname: Li
  fullname: Li, Qing
  organization: School of Aerospace, Mechanical and Mechatronic Engineering, The University of Sydney, Sydney, NSW 2006, Australia
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Cellular material
Defect
Additive manufacturing
Energy absorption
Lattice structure
Optimization
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c312t-f1aade785eb0691448eb62ebb1b3dec1e27055d69f1b36a57a245dfbac1094c13
ORCID 0000-0003-0119-6108
ParticipantIDs crossref_primary_10_1016_j_ijmecsci_2023_108102
crossref_citationtrail_10_1016_j_ijmecsci_2023_108102
elsevier_sciencedirect_doi_10_1016_j_ijmecsci_2023_108102
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2023-05-15
PublicationDateYYYYMMDD 2023-05-15
PublicationDate_xml – month: 05
  year: 2023
  text: 2023-05-15
  day: 15
PublicationDecade 2020
PublicationTitle International journal of mechanical sciences
PublicationYear 2023
Publisher Elsevier Ltd
Publisher_xml – name: Elsevier Ltd
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Snippet •AM techniques used in energy-absorbing materials and structures are reviewed.•AM materials and structures are reviewed with emphasis on energy...
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StartPage 108102
SubjectTerms Additive manufacturing
Cellular material
Defect
Energy absorption
Lattice structure
Machine learning
Mechanical property
Optimization
Title Additively manufactured materials and structures: A state-of-the-art review on their mechanical characteristics and energy absorption
URI https://dx.doi.org/10.1016/j.ijmecsci.2023.108102
Volume 246
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