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Orthogonal slicing for additive manufacturing
Most additive manufacturing technologies work by layering, i.e. slicing the shape and then generating each slice independently. This introduces an anisotropy into the process, often as different accuracies in the tangential and normal directions, but also in terms of other parameters such as build s...
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Published in: | Computers & graphics 2013-10, Vol.37 (6), p.669-675 |
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container_title | Computers & graphics |
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creator | Hildebrand, Kristian Bickel, Bernd Alexa, Marc |
description | Most additive manufacturing technologies work by layering, i.e. slicing the shape and then generating each slice independently. This introduces an anisotropy into the process, often as different accuracies in the tangential and normal directions, but also in terms of other parameters such as build speed or tensile strength and strain. We model this as an anisotropic cubic element. Our approach then finds a compromise between modeling each part of the shape individually in the best possible direction and using one direction for the whole shape part. In particular, we compute an orthogonal basis and consider only the three basis vectors as slice normals (i.e. fabrication directions). Then we optimize a decomposition of the shape along this basis so that each part can be consistently sliced along one of the basis vectors. In simulation, we show that this approach is superior to slicing the whole shape in one direction, only. It also has clear benefits if the shape is larger than the build volume of the available equipment.
[Display omitted]
•We propose an accuracy optimization algorithm for additive manufacturing methods.•We decompose 3D shapes into parts that are fabricated along an optimal direction.•Benefits of our method show for objects that do not fit the fabrication space. |
doi_str_mv | 10.1016/j.cag.2013.05.011 |
format | article |
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[Display omitted]
•We propose an accuracy optimization algorithm for additive manufacturing methods.•We decompose 3D shapes into parts that are fabricated along an optimal direction.•Benefits of our method show for objects that do not fit the fabrication space.</description><identifier>ISSN: 0097-8493</identifier><identifier>EISSN: 1873-7684</identifier><identifier>DOI: 10.1016/j.cag.2013.05.011</identifier><identifier>CODEN: COGRD2</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Additives ; Anisotropy ; Applied sciences ; Construction ; Construction equipment ; Digital manufacturing ; Exact sciences and technology ; Fracture mechanics (crack, fatigue, damage...) ; Fundamental areas of phenomenology (including applications) ; Mathematical analysis ; Mechanical engineering. Machine design ; Physics ; Shape analysis ; Slicing ; Solid mechanics ; Structural and continuum mechanics ; Tensile strength ; Vectors (mathematics)</subject><ispartof>Computers & graphics, 2013-10, Vol.37 (6), p.669-675</ispartof><rights>2013 Elsevier Ltd</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c393t-fb24568f5bb5f37736f9c2d5119ac02bc20f1a68a45b2b9032e1847cc9cea42f3</citedby><cites>FETCH-LOGICAL-c393t-fb24568f5bb5f37736f9c2d5119ac02bc20f1a68a45b2b9032e1847cc9cea42f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>309,310,314,776,780,785,786,23906,23907,25115,27898,27899</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=27728337$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Hildebrand, Kristian</creatorcontrib><creatorcontrib>Bickel, Bernd</creatorcontrib><creatorcontrib>Alexa, Marc</creatorcontrib><title>Orthogonal slicing for additive manufacturing</title><title>Computers & graphics</title><description>Most additive manufacturing technologies work by layering, i.e. slicing the shape and then generating each slice independently. This introduces an anisotropy into the process, often as different accuracies in the tangential and normal directions, but also in terms of other parameters such as build speed or tensile strength and strain. We model this as an anisotropic cubic element. Our approach then finds a compromise between modeling each part of the shape individually in the best possible direction and using one direction for the whole shape part. In particular, we compute an orthogonal basis and consider only the three basis vectors as slice normals (i.e. fabrication directions). Then we optimize a decomposition of the shape along this basis so that each part can be consistently sliced along one of the basis vectors. In simulation, we show that this approach is superior to slicing the whole shape in one direction, only. It also has clear benefits if the shape is larger than the build volume of the available equipment.
[Display omitted]
•We propose an accuracy optimization algorithm for additive manufacturing methods.•We decompose 3D shapes into parts that are fabricated along an optimal direction.•Benefits of our method show for objects that do not fit the fabrication space.</description><subject>Additives</subject><subject>Anisotropy</subject><subject>Applied sciences</subject><subject>Construction</subject><subject>Construction equipment</subject><subject>Digital manufacturing</subject><subject>Exact sciences and technology</subject><subject>Fracture mechanics (crack, fatigue, damage...)</subject><subject>Fundamental areas of phenomenology (including applications)</subject><subject>Mathematical analysis</subject><subject>Mechanical engineering. Machine design</subject><subject>Physics</subject><subject>Shape analysis</subject><subject>Slicing</subject><subject>Solid mechanics</subject><subject>Structural and continuum mechanics</subject><subject>Tensile strength</subject><subject>Vectors (mathematics)</subject><issn>0097-8493</issn><issn>1873-7684</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNqFkDtPwzAUhS0EEuXxA9iyILEk-PoRJ2JCFS-pUheYLefGLq7SpNhJJf49rloxwnSH851zpY-QG6AFUCjv1wWaVcEo8ILKggKckBlUiueqrMQpmVFaq7wSNT8nFzGuKaWMlWJG8mUYP4fV0Jsui51H368yN4TMtK0f_c5mG9NPzuA4hRRdkTNnumivj_eSfDw_vc9f88Xy5W3-uMiR13zMXcOELCsnm0Y6rhQvXY2slQC1QcoaZNSBKSsjZMOamnJmoRIKsUZrBHP8ktwddrdh-JpsHPXGR7RdZ3o7TFGDBC4YMMr-R4WoFFOCVQmFA4phiDFYp7fBb0z41kD13qJe62RR7y1qKnWymDq3x3kT0XQumB59_C0ypdIwV4l7OHA2adl5G3REb3u0rQ8WR90O_o8vPy3GhaU</recordid><startdate>20131001</startdate><enddate>20131001</enddate><creator>Hildebrand, Kristian</creator><creator>Bickel, Bernd</creator><creator>Alexa, Marc</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20131001</creationdate><title>Orthogonal slicing for additive manufacturing</title><author>Hildebrand, Kristian ; Bickel, Bernd ; Alexa, Marc</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c393t-fb24568f5bb5f37736f9c2d5119ac02bc20f1a68a45b2b9032e1847cc9cea42f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Additives</topic><topic>Anisotropy</topic><topic>Applied sciences</topic><topic>Construction</topic><topic>Construction equipment</topic><topic>Digital manufacturing</topic><topic>Exact sciences and technology</topic><topic>Fracture mechanics (crack, fatigue, damage...)</topic><topic>Fundamental areas of phenomenology (including applications)</topic><topic>Mathematical analysis</topic><topic>Mechanical engineering. Machine design</topic><topic>Physics</topic><topic>Shape analysis</topic><topic>Slicing</topic><topic>Solid mechanics</topic><topic>Structural and continuum mechanics</topic><topic>Tensile strength</topic><topic>Vectors (mathematics)</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hildebrand, Kristian</creatorcontrib><creatorcontrib>Bickel, Bernd</creatorcontrib><creatorcontrib>Alexa, Marc</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Computers & graphics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hildebrand, Kristian</au><au>Bickel, Bernd</au><au>Alexa, Marc</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Orthogonal slicing for additive manufacturing</atitle><jtitle>Computers & graphics</jtitle><date>2013-10-01</date><risdate>2013</risdate><volume>37</volume><issue>6</issue><spage>669</spage><epage>675</epage><pages>669-675</pages><issn>0097-8493</issn><eissn>1873-7684</eissn><coden>COGRD2</coden><abstract>Most additive manufacturing technologies work by layering, i.e. slicing the shape and then generating each slice independently. This introduces an anisotropy into the process, often as different accuracies in the tangential and normal directions, but also in terms of other parameters such as build speed or tensile strength and strain. We model this as an anisotropic cubic element. Our approach then finds a compromise between modeling each part of the shape individually in the best possible direction and using one direction for the whole shape part. In particular, we compute an orthogonal basis and consider only the three basis vectors as slice normals (i.e. fabrication directions). Then we optimize a decomposition of the shape along this basis so that each part can be consistently sliced along one of the basis vectors. In simulation, we show that this approach is superior to slicing the whole shape in one direction, only. It also has clear benefits if the shape is larger than the build volume of the available equipment.
[Display omitted]
•We propose an accuracy optimization algorithm for additive manufacturing methods.•We decompose 3D shapes into parts that are fabricated along an optimal direction.•Benefits of our method show for objects that do not fit the fabrication space.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.cag.2013.05.011</doi><tpages>7</tpages></addata></record> |
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source | ScienceDirect Journals |
subjects | Additives Anisotropy Applied sciences Construction Construction equipment Digital manufacturing Exact sciences and technology Fracture mechanics (crack, fatigue, damage...) Fundamental areas of phenomenology (including applications) Mathematical analysis Mechanical engineering. Machine design Physics Shape analysis Slicing Solid mechanics Structural and continuum mechanics Tensile strength Vectors (mathematics) |
title | Orthogonal slicing for additive manufacturing |
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