Life Cycle Assessment of PEEK for Additive Manufacturing

Bibliographic Details
Main Author: Bernardino, Jorge Miguel Agostinho
Publication Date: 2022
Format: Master thesis
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/158617
Summary: The lifecycle assessment process (LCA) is a method that allows one to determine the environ- mental impact and gives the information needed to improve the environmental performance of processes which allows for reducing the human footprint in the environment. This dissertation consists of a lifecycle assessment of the production of polyetheretherketone (PEEK) in both the additive manufacturing and injection molding processes with the aim of selecting the most environmentally friendly process. This assessment is made considering a cradle-to-grave approach from when the natural resources are extracted until the final piece is discarded. This analysis is supported using LCA databases and real experimental data collected at NOVA School of Science and Technology. This data will allow for a more conscious choice in selecting one manufacturing process over the other. OpenLCA was the selected software to perform the life cycle assessment with Delft's University of Technologies' IDEMAT database. It was determined that the additive manufacturing production of PEEK is the manufacturing method that contains the least environmental impact mainly because of the reduction of travel distances that are associated with more local production. This compensates for the slight in- crease in energy consumption of additive manufacturing compared to the injection molding process.
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spelling Life Cycle Assessment of PEEK for Additive ManufacturingPEEKLCASustainabilityAdditive Manufacturing3D PrintingDomínio/Área Científica::Engenharia e Tecnologia::Engenharia dos MateriaisThe lifecycle assessment process (LCA) is a method that allows one to determine the environ- mental impact and gives the information needed to improve the environmental performance of processes which allows for reducing the human footprint in the environment. This dissertation consists of a lifecycle assessment of the production of polyetheretherketone (PEEK) in both the additive manufacturing and injection molding processes with the aim of selecting the most environmentally friendly process. This assessment is made considering a cradle-to-grave approach from when the natural resources are extracted until the final piece is discarded. This analysis is supported using LCA databases and real experimental data collected at NOVA School of Science and Technology. This data will allow for a more conscious choice in selecting one manufacturing process over the other. OpenLCA was the selected software to perform the life cycle assessment with Delft's University of Technologies' IDEMAT database. It was determined that the additive manufacturing production of PEEK is the manufacturing method that contains the least environmental impact mainly because of the reduction of travel distances that are associated with more local production. This compensates for the slight in- crease in energy consumption of additive manufacturing compared to the injection molding process.O processo de avaliação do ciclo de vida (ACV) é um método que permite determinar o im- pacto ambiental e dá a informação necessária para melhorar o desempenho ambiental dos processos o que permite reduzir a pegada humana no ambiente. Esta dissertação consiste numa avaliação do ciclo de vida da produção da polieteretercetona (PEEK) tanto nos processos de fabrico aditivo como na moldagem por injeção, com o objetivo de selecionar o processo com o menor impacte ambiental. Esta avaliação é efetuada tendo em conta uma abordagem cradle-to-grave que compreende os processos desde a extração dos recursos naturais até que a peça final seja descartada. Esta análise é suportada através de bases de dados de ACV e dados experimentais reais reco- lhidos na NOVA School of Science and Technology. Estes dados permitirão uma escolha mais consciente na seleção de um processo de fabrico em detrimento do outro. O OpenLCA foi o software selecionado para realizar a avaliação do ciclo de vida com o suporte da base de dados IDEMAT produzida pela Universidade de Tecnologias de Delft. Considerou-se que a produção em fabrico aditivo do PEEK é o método de fabrico que contém o menor impacte ambiental, principalmente devido à redução das distâncias de viagem que estão associadas a uma produção local. Este fator compensa o ligeiro aumento do consumo de energia do fabrico aditivo em comparação com o processo de moldagem por injeção.Soares, BrunoRUNBernardino, Jorge Miguel Agostinho2023-10-03T15:43:37Z2022-122022-12-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/158617enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T18:14:29Zoai:run.unl.pt:10362/158617Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:45:04.835318Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Life Cycle Assessment of PEEK for Additive Manufacturing
title Life Cycle Assessment of PEEK for Additive Manufacturing
spellingShingle Life Cycle Assessment of PEEK for Additive Manufacturing
Bernardino, Jorge Miguel Agostinho
PEEK
LCA
Sustainability
Additive Manufacturing
3D Printing
Domínio/Área Científica::Engenharia e Tecnologia::Engenharia dos Materiais
title_short Life Cycle Assessment of PEEK for Additive Manufacturing
title_full Life Cycle Assessment of PEEK for Additive Manufacturing
title_fullStr Life Cycle Assessment of PEEK for Additive Manufacturing
title_full_unstemmed Life Cycle Assessment of PEEK for Additive Manufacturing
title_sort Life Cycle Assessment of PEEK for Additive Manufacturing
author Bernardino, Jorge Miguel Agostinho
author_facet Bernardino, Jorge Miguel Agostinho
author_role author
dc.contributor.none.fl_str_mv Soares, Bruno
RUN
dc.contributor.author.fl_str_mv Bernardino, Jorge Miguel Agostinho
dc.subject.por.fl_str_mv PEEK
LCA
Sustainability
Additive Manufacturing
3D Printing
Domínio/Área Científica::Engenharia e Tecnologia::Engenharia dos Materiais
topic PEEK
LCA
Sustainability
Additive Manufacturing
3D Printing
Domínio/Área Científica::Engenharia e Tecnologia::Engenharia dos Materiais
description The lifecycle assessment process (LCA) is a method that allows one to determine the environ- mental impact and gives the information needed to improve the environmental performance of processes which allows for reducing the human footprint in the environment. This dissertation consists of a lifecycle assessment of the production of polyetheretherketone (PEEK) in both the additive manufacturing and injection molding processes with the aim of selecting the most environmentally friendly process. This assessment is made considering a cradle-to-grave approach from when the natural resources are extracted until the final piece is discarded. This analysis is supported using LCA databases and real experimental data collected at NOVA School of Science and Technology. This data will allow for a more conscious choice in selecting one manufacturing process over the other. OpenLCA was the selected software to perform the life cycle assessment with Delft's University of Technologies' IDEMAT database. It was determined that the additive manufacturing production of PEEK is the manufacturing method that contains the least environmental impact mainly because of the reduction of travel distances that are associated with more local production. This compensates for the slight in- crease in energy consumption of additive manufacturing compared to the injection molding process.
publishDate 2022
dc.date.none.fl_str_mv 2022-12
2022-12-01T00:00:00Z
2023-10-03T15:43:37Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
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url http://hdl.handle.net/10362/158617
dc.language.iso.fl_str_mv eng
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