Resource analysis model and validation for selective laser melting, constituting the potential of lightweight design for material efficiency
Selective Laser Melting (SLM) offers significant potential for a sustainable way of production. Raw material in form of metallic powder can directly be reused and the selective nature of the process offers new potential for resource economization. We introduce a mathematical model, which allows conc...
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Veröffentlicht in: | Sustainable production and consumption 2020-01, Vol.21, p.182-191 |
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creator | Pfaff, Aron Bierdel, Marius Hoschke, Klaus Wickert, Matthias Riedel, Werner Hiermaier, Stefan |
description | Selective Laser Melting (SLM) offers significant potential for a sustainable way of production. Raw material in form of metallic powder can directly be reused and the selective nature of the process offers new potential for resource economization. We introduce a mathematical model, which allows conclusions about the influence of parameters like part volume (influenced by lightweight design) and exposure parameters onto the resource consumption in an SLM process. For this purpose, time and energy consumption are classified in process shares as a function of volume and process parameters. The introduced approach is validated by experimental methods under the consideration of part volume, exposure parameters and batch size. While the approach shall be independent of the manufactured material, the experiments are executed for the aluminum alloy AlSi10Mg. The measurements quantify the impact of the part volume and process parameters on the resource consumption and provide recommendations for improvements regarding an increased material efficiency. Additionally, the established model can be used to analyze manufacturing costs for single parts or series productions. The results illustrate the importance of lightweight design methods for an efficient and sustainable production by powder bed fusion methods like SLM.
[Display omitted]
•Design optimization combined with Additive Manufacturing provides resource efficiency.•Machine and part independent resource model was developed for Selective Laser Melting.•The resource analysis model enables a forecast of resource consumption (time, energy).•Validation of resource analysis model by illustrative small batch production. |
doi_str_mv | 10.1016/j.spc.2019.12.004 |
format | Article |
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[Display omitted]
•Design optimization combined with Additive Manufacturing provides resource efficiency.•Machine and part independent resource model was developed for Selective Laser Melting.•The resource analysis model enables a forecast of resource consumption (time, energy).•Validation of resource analysis model by illustrative small batch production.</description><identifier>ISSN: 2352-5509</identifier><identifier>EISSN: 2352-5509</identifier><identifier>DOI: 10.1016/j.spc.2019.12.004</identifier><language>eng</language><publisher>AMSTERDAM: Elsevier B.V</publisher><subject><![CDATA[Energy consumption ; Environmental Sciences & Ecology ; Environmental Studies ; Green & Sustainable Science & Technology ; Life Sciences & Biomedicine ; Resource efficiency ; Science & Technology ; Science & Technology - Other Topics ; Selective laser melting ; Small batch production ; Structure lightweight design ; Sustainability]]></subject><ispartof>Sustainable production and consumption, 2020-01, Vol.21, p.182-191</ispartof><rights>2019 Institution of Chemical Engineers</rights><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>8</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000529312000014</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c340t-59640a094962e2cf123b941532edf5902cc65ce4729b13407522ef3bd494a2fb3</citedby><cites>FETCH-LOGICAL-c340t-59640a094962e2cf123b941532edf5902cc65ce4729b13407522ef3bd494a2fb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,27929,27930,28253,28254</link.rule.ids></links><search><creatorcontrib>Pfaff, Aron</creatorcontrib><creatorcontrib>Bierdel, Marius</creatorcontrib><creatorcontrib>Hoschke, Klaus</creatorcontrib><creatorcontrib>Wickert, Matthias</creatorcontrib><creatorcontrib>Riedel, Werner</creatorcontrib><creatorcontrib>Hiermaier, Stefan</creatorcontrib><title>Resource analysis model and validation for selective laser melting, constituting the potential of lightweight design for material efficiency</title><title>Sustainable production and consumption</title><addtitle>SUSTAIN PROD CONSUMP</addtitle><description>Selective Laser Melting (SLM) offers significant potential for a sustainable way of production. Raw material in form of metallic powder can directly be reused and the selective nature of the process offers new potential for resource economization. We introduce a mathematical model, which allows conclusions about the influence of parameters like part volume (influenced by lightweight design) and exposure parameters onto the resource consumption in an SLM process. For this purpose, time and energy consumption are classified in process shares as a function of volume and process parameters. The introduced approach is validated by experimental methods under the consideration of part volume, exposure parameters and batch size. While the approach shall be independent of the manufactured material, the experiments are executed for the aluminum alloy AlSi10Mg. The measurements quantify the impact of the part volume and process parameters on the resource consumption and provide recommendations for improvements regarding an increased material efficiency. Additionally, the established model can be used to analyze manufacturing costs for single parts or series productions. The results illustrate the importance of lightweight design methods for an efficient and sustainable production by powder bed fusion methods like SLM.
[Display omitted]
•Design optimization combined with Additive Manufacturing provides resource efficiency.•Machine and part independent resource model was developed for Selective Laser Melting.•The resource analysis model enables a forecast of resource consumption (time, energy).•Validation of resource analysis model by illustrative small batch production.</description><subject>Energy consumption</subject><subject>Environmental Sciences & Ecology</subject><subject>Environmental Studies</subject><subject>Green & Sustainable Science & Technology</subject><subject>Life Sciences & Biomedicine</subject><subject>Resource efficiency</subject><subject>Science & Technology</subject><subject>Science & Technology - Other Topics</subject><subject>Selective laser melting</subject><subject>Small batch production</subject><subject>Structure lightweight design</subject><subject>Sustainability</subject><issn>2352-5509</issn><issn>2352-5509</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>AOWDO</sourceid><sourceid>ARHDP</sourceid><recordid>eNqNkMtKAzEUhgdRUNQHcJe9dkzOJLXBlRRvIAii65DJnNSUdFKStNJ38KHNtCKuxM25wP8dDl9VnTFaM8rGl_M6LU0NlMmaQU0p36uOoBEwEoLK_V_zYXWa0pxSCmLCOZ0cVZ8vmMIqGiS6136TXCKL0KEva0fW2rtOZxd6YkMkCT2a7NZIvE4YyQJ9dv3sgpjQp-zyathIfkeyDBn77LQnwRLvZu_5A4dKOkxutru20BnjEEFrnXHYm81JdWC1T3j63Y-rt7vb1-nD6On5_nF68zQyDad5JOSYU00ll2NAMJZB00rORAPYWSEpGDMWBvkVyJYV4koAoG3ajkuuwbbNccV2d00MKUW0ahndQseNYlQNRtVcFaNqMKoYqGK0MJMd84FtsGn7MP5wRakA2TAoA2V86vJW2zSs-lzQ8_-jJX29S2MxsHYY1TfRuVj0qy64P978AvkqoiU</recordid><startdate>202001</startdate><enddate>202001</enddate><creator>Pfaff, Aron</creator><creator>Bierdel, Marius</creator><creator>Hoschke, Klaus</creator><creator>Wickert, Matthias</creator><creator>Riedel, Werner</creator><creator>Hiermaier, Stefan</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>17B</scope><scope>AOWDO</scope><scope>ARHDP</scope><scope>BLEPL</scope><scope>DTL</scope><scope>DVR</scope><scope>EGQ</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>202001</creationdate><title>Resource analysis model and validation for selective laser melting, constituting the potential of lightweight design for material efficiency</title><author>Pfaff, Aron ; Bierdel, Marius ; Hoschke, Klaus ; Wickert, Matthias ; Riedel, Werner ; Hiermaier, Stefan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c340t-59640a094962e2cf123b941532edf5902cc65ce4729b13407522ef3bd494a2fb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Energy consumption</topic><topic>Environmental Sciences & Ecology</topic><topic>Environmental Studies</topic><topic>Green & Sustainable Science & Technology</topic><topic>Life Sciences & Biomedicine</topic><topic>Resource efficiency</topic><topic>Science & Technology</topic><topic>Science & Technology - Other Topics</topic><topic>Selective laser melting</topic><topic>Small batch production</topic><topic>Structure lightweight design</topic><topic>Sustainability</topic><toplevel>online_resources</toplevel><creatorcontrib>Pfaff, Aron</creatorcontrib><creatorcontrib>Bierdel, Marius</creatorcontrib><creatorcontrib>Hoschke, Klaus</creatorcontrib><creatorcontrib>Wickert, Matthias</creatorcontrib><creatorcontrib>Riedel, Werner</creatorcontrib><creatorcontrib>Hiermaier, Stefan</creatorcontrib><collection>Web of Knowledge</collection><collection>Web of Science - Science Citation Index Expanded - 2020</collection><collection>Web of Science - Social Sciences Citation Index – 2020</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Social Sciences Citation Index</collection><collection>Web of Science Primary (SCIE, SSCI & AHCI)</collection><collection>CrossRef</collection><jtitle>Sustainable production and consumption</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pfaff, Aron</au><au>Bierdel, Marius</au><au>Hoschke, Klaus</au><au>Wickert, Matthias</au><au>Riedel, Werner</au><au>Hiermaier, Stefan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Resource analysis model and validation for selective laser melting, constituting the potential of lightweight design for material efficiency</atitle><jtitle>Sustainable production and consumption</jtitle><stitle>SUSTAIN PROD CONSUMP</stitle><date>2020-01</date><risdate>2020</risdate><volume>21</volume><spage>182</spage><epage>191</epage><pages>182-191</pages><issn>2352-5509</issn><eissn>2352-5509</eissn><abstract>Selective Laser Melting (SLM) offers significant potential for a sustainable way of production. Raw material in form of metallic powder can directly be reused and the selective nature of the process offers new potential for resource economization. We introduce a mathematical model, which allows conclusions about the influence of parameters like part volume (influenced by lightweight design) and exposure parameters onto the resource consumption in an SLM process. For this purpose, time and energy consumption are classified in process shares as a function of volume and process parameters. The introduced approach is validated by experimental methods under the consideration of part volume, exposure parameters and batch size. While the approach shall be independent of the manufactured material, the experiments are executed for the aluminum alloy AlSi10Mg. The measurements quantify the impact of the part volume and process parameters on the resource consumption and provide recommendations for improvements regarding an increased material efficiency. Additionally, the established model can be used to analyze manufacturing costs for single parts or series productions. The results illustrate the importance of lightweight design methods for an efficient and sustainable production by powder bed fusion methods like SLM.
[Display omitted]
•Design optimization combined with Additive Manufacturing provides resource efficiency.•Machine and part independent resource model was developed for Selective Laser Melting.•The resource analysis model enables a forecast of resource consumption (time, energy).•Validation of resource analysis model by illustrative small batch production.</abstract><cop>AMSTERDAM</cop><pub>Elsevier B.V</pub><doi>10.1016/j.spc.2019.12.004</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Energy consumption Environmental Sciences & Ecology Environmental Studies Green & Sustainable Science & Technology Life Sciences & Biomedicine Resource efficiency Science & Technology Science & Technology - Other Topics Selective laser melting Small batch production Structure lightweight design Sustainability |
title | Resource analysis model and validation for selective laser melting, constituting the potential of lightweight design for material efficiency |
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