Review on computational modeling for the property, process, product and performance (PPPP) characteristics of additively manufactured porous magnesium implants

<p>Recently, magnesium (Mg) and its alloys are gaining the attention of researchers as these materials can provide mechanical properties comparable to natural bone. Additive manufacturing (AM) techniques have also evolved in the biomedical sector owing to their precision in fabricating desired...

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Main Author: Ramsha Imran (12431698) (author)
Other Authors: Ans Al Rashid (14777050) (author), Muammer Koç (8350053) (author)
Published: 2022
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author Ramsha Imran (12431698)
author2 Ans Al Rashid (14777050)
Muammer Koç (8350053)
author2_role author
author
author_facet Ramsha Imran (12431698)
Ans Al Rashid (14777050)
Muammer Koç (8350053)
author_role author
dc.creator.none.fl_str_mv Ramsha Imran (12431698)
Ans Al Rashid (14777050)
Muammer Koç (8350053)
dc.date.none.fl_str_mv 2022-12-01T00:00:00Z
dc.identifier.none.fl_str_mv 10.1016/j.bprint.2022.e00236
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/Review_on_computational_modeling_for_the_property_process_product_and_performance_PPPP_characteristics_of_additively_manufactured_porous_magnesium_implants/24717720
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Engineering
Biomedical engineering
Materials engineering
Environmental sciences
Environmental biotechnology
Additive manufacturing
3D printing
Biomaterials
Biodegradable implants
Computational modeling
dc.title.none.fl_str_mv Review on computational modeling for the property, process, product and performance (PPPP) characteristics of additively manufactured porous magnesium implants
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <p>Recently, magnesium (Mg) and its alloys are gaining the attention of researchers as these materials can provide mechanical properties comparable to natural bone. Additive manufacturing (AM) techniques have also evolved in the biomedical sector owing to their precision in fabricating desired parts with varying shapes, intricacy, and porosity required for implant functionality. With increasing interest in AM of Mg-based biomedical implants, there is a pressing need to understand existing accomplishments, state-of-the-art materials, and fabrication technology and to identify remaining research gaps through a comprehensive literature review existing in this field and highlight hindrances and challenges associated. In this review study, a particular focus is placed on understanding computational modeling techniques employed for the design, manufacturing, and performance analysis of AM porous scaffolds. Therefore, progress in material synthesis and associated challenges are reviewed in this study, and conclusions and future research recommendations are drawn based on reviewed literature. This review study concludes that there is an unmet need to develop accurate, fast, and inexpensive computational modeling for AM of Mg-based implants to increase predictability capacity and capabilities of material synthesis, fabrication, and resulting product property and performance.</p><h2>Other Information</h2> <p> Published in: Bioprinting<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.bprint.2022.e00236" target="_blank">https://dx.doi.org/10.1016/j.bprint.2022.e00236</a></p>
eu_rights_str_mv openAccess
id Manara2_a9419bd841f7cc38eaece2bbe0d12bfd
identifier_str_mv 10.1016/j.bprint.2022.e00236
network_acronym_str Manara2
network_name_str Manara2
oai_identifier_str oai:figshare.com:article/24717720
publishDate 2022
repository.mail.fl_str_mv
repository.name.fl_str_mv
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rights_invalid_str_mv CC BY 4.0
spelling Review on computational modeling for the property, process, product and performance (PPPP) characteristics of additively manufactured porous magnesium implantsRamsha Imran (12431698)Ans Al Rashid (14777050)Muammer Koç (8350053)EngineeringBiomedical engineeringMaterials engineeringEnvironmental sciencesEnvironmental biotechnologyAdditive manufacturing3D printingBiomaterialsBiodegradable implantsComputational modeling<p>Recently, magnesium (Mg) and its alloys are gaining the attention of researchers as these materials can provide mechanical properties comparable to natural bone. Additive manufacturing (AM) techniques have also evolved in the biomedical sector owing to their precision in fabricating desired parts with varying shapes, intricacy, and porosity required for implant functionality. With increasing interest in AM of Mg-based biomedical implants, there is a pressing need to understand existing accomplishments, state-of-the-art materials, and fabrication technology and to identify remaining research gaps through a comprehensive literature review existing in this field and highlight hindrances and challenges associated. In this review study, a particular focus is placed on understanding computational modeling techniques employed for the design, manufacturing, and performance analysis of AM porous scaffolds. Therefore, progress in material synthesis and associated challenges are reviewed in this study, and conclusions and future research recommendations are drawn based on reviewed literature. This review study concludes that there is an unmet need to develop accurate, fast, and inexpensive computational modeling for AM of Mg-based implants to increase predictability capacity and capabilities of material synthesis, fabrication, and resulting product property and performance.</p><h2>Other Information</h2> <p> Published in: Bioprinting<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.bprint.2022.e00236" target="_blank">https://dx.doi.org/10.1016/j.bprint.2022.e00236</a></p>2022-12-01T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1016/j.bprint.2022.e00236https://figshare.com/articles/journal_contribution/Review_on_computational_modeling_for_the_property_process_product_and_performance_PPPP_characteristics_of_additively_manufactured_porous_magnesium_implants/24717720CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/247177202022-12-01T00:00:00Z
spellingShingle Review on computational modeling for the property, process, product and performance (PPPP) characteristics of additively manufactured porous magnesium implants
Ramsha Imran (12431698)
Engineering
Biomedical engineering
Materials engineering
Environmental sciences
Environmental biotechnology
Additive manufacturing
3D printing
Biomaterials
Biodegradable implants
Computational modeling
status_str publishedVersion
title Review on computational modeling for the property, process, product and performance (PPPP) characteristics of additively manufactured porous magnesium implants
title_full Review on computational modeling for the property, process, product and performance (PPPP) characteristics of additively manufactured porous magnesium implants
title_fullStr Review on computational modeling for the property, process, product and performance (PPPP) characteristics of additively manufactured porous magnesium implants
title_full_unstemmed Review on computational modeling for the property, process, product and performance (PPPP) characteristics of additively manufactured porous magnesium implants
title_short Review on computational modeling for the property, process, product and performance (PPPP) characteristics of additively manufactured porous magnesium implants
title_sort Review on computational modeling for the property, process, product and performance (PPPP) characteristics of additively manufactured porous magnesium implants
topic Engineering
Biomedical engineering
Materials engineering
Environmental sciences
Environmental biotechnology
Additive manufacturing
3D printing
Biomaterials
Biodegradable implants
Computational modeling