Pareto-Based Optimization of Part Orientation in Stereolithography
This paper presents a Pareto-based optimization algorithm to determine a series of best part orientations in stereolithography systems. Previous methods could apply limit objective functions (OFs). Moreover, methods with multiple OFs had abstracted them into a single fitness function. A single fitne...
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| Veröffentlicht in: | Proceedings of the Institution of Mechanical Engineers. Part B, Journal of engineering manufacture Journal of engineering manufacture, 2010-10, Vol.224 (10), p.1591-1598 |
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| container_title | Proceedings of the Institution of Mechanical Engineers. Part B, Journal of engineering manufacture |
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| creator | Nezhad, A Sanati Barazandeh, F Rahimi, A R Vatani, M |
| description | This paper presents a Pareto-based optimization algorithm to determine a series of best part orientations in stereolithography systems. Previous methods could apply limit objective functions (OFs). Moreover, methods with multiple OFs had abstracted them into a single fitness function. A single fitness function never reflects the characteristics of individual OFs properly. The method proposed here handles several OFs individually. The objective functions are the build time and support volume under a desired surface finish. The optimization was performed using the multi-objective genetic algorithm (MOGA). At each genetic algorithm step, the surface finish was achieved by applying the adaptive layer thickness method. Pareto-based optimization finds a series of best part orientations with minimum build time and volume support. It is a multi-objective optimization that handles complex CAD files. The algorithm was developed using MATLAB. The codes were run for some case studies and the results were very promising. |
| doi_str_mv | 10.1243/09544054JEM1842 |
| format | Article |
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Previous methods could apply limit objective functions (OFs). Moreover, methods with multiple OFs had abstracted them into a single fitness function. A single fitness function never reflects the characteristics of individual OFs properly. The method proposed here handles several OFs individually. The objective functions are the build time and support volume under a desired surface finish. The optimization was performed using the multi-objective genetic algorithm (MOGA). At each genetic algorithm step, the surface finish was achieved by applying the adaptive layer thickness method. Pareto-based optimization finds a series of best part orientations with minimum build time and volume support. It is a multi-objective optimization that handles complex CAD files. The algorithm was developed using MATLAB. 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Part B, Journal of engineering manufacture</title><description>This paper presents a Pareto-based optimization algorithm to determine a series of best part orientations in stereolithography systems. Previous methods could apply limit objective functions (OFs). Moreover, methods with multiple OFs had abstracted them into a single fitness function. A single fitness function never reflects the characteristics of individual OFs properly. The method proposed here handles several OFs individually. The objective functions are the build time and support volume under a desired surface finish. The optimization was performed using the multi-objective genetic algorithm (MOGA). At each genetic algorithm step, the surface finish was achieved by applying the adaptive layer thickness method. Pareto-based optimization finds a series of best part orientations with minimum build time and volume support. It is a multi-objective optimization that handles complex CAD files. 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Machine design</subject><subject>Multiple objective analysis</subject><subject>Optimization</subject><subject>Optimization algorithms</subject><subject>Orientation</subject><subject>Pareto optimum</subject><subject>Rapid prototyping</subject><subject>Series (mathematics)</subject><subject>Surface finish</subject><subject>Surface roughness</subject><subject>Thickness</subject><subject>Volumetric analysis</subject><issn>0954-4054</issn><issn>2041-2975</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp1kM1Lw0AQxRdRsFbPXoPizdj9SjZ7tKV-UamgnsNssmm3tNm4uz3Uv96EFBGh7zIw7_fewCB0SfAdoZyNsEw4xwl_mb6SjNMjNKCYk5hKkRyjQefGnX2Kzrxf4VaCsQEav4HTwcZj8LqM5k0wG_MNwdg6slXUmiGaO6Pr0O9MHb0H7bRdm7C0CwfNcneOTipYe32xn0P0-TD9mDzFs_nj8-R-FhcsZSFWCkqeljJRiRQVzRROATTnSjMgggtGVVpmBSklLhgFIRLFiRBUAVOUY8mG6KrvbZz92mof8pXduro9mWeCCCkoSVro-hBEJM5k1gq31KinCme9d7rKG2c24HY5wXn3zfzfN9vEzb4XfAHrykFdGP8bo4xTLNOu-bbnPCz0n9sHan8Anj5_xA</recordid><startdate>20101001</startdate><enddate>20101001</enddate><creator>Nezhad, A Sanati</creator><creator>Barazandeh, F</creator><creator>Rahimi, A R</creator><creator>Vatani, M</creator><general>SAGE Publications</general><general>Sage Publications</general><general>SAGE PUBLICATIONS, INC</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>3V.</scope><scope>7XB</scope><scope>88I</scope><scope>8AF</scope><scope>8AO</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M2P</scope><scope>M7S</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PKEHL</scope><scope>PQEST</scope><scope>PQGLB</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>Q9U</scope></search><sort><creationdate>20101001</creationdate><title>Pareto-Based Optimization of Part Orientation in Stereolithography</title><author>Nezhad, A Sanati ; Barazandeh, F ; Rahimi, A R ; Vatani, M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c363t-bbad46d95b597f28b06aae44be3a174732b6d8c1d90c32a775b41772ba3b24093</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Adaptive algorithms</topic><topic>Applied sciences</topic><topic>CAD</topic><topic>Computer aided design</topic><topic>Exact sciences and technology</topic><topic>Expert systems</topic><topic>Fitness</topic><topic>Genetic algorithms</topic><topic>Lithography</topic><topic>Matlab</topic><topic>Mechanical engineering. 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| subjects | Adaptive algorithms Applied sciences CAD Computer aided design Exact sciences and technology Expert systems Fitness Genetic algorithms Lithography Matlab Mechanical engineering. Machine design Multiple objective analysis Optimization Optimization algorithms Orientation Pareto optimum Rapid prototyping Series (mathematics) Surface finish Surface roughness Thickness Volumetric analysis |
| title | Pareto-Based Optimization of Part Orientation in Stereolithography |
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