Systems, methods, and media for artificial intelligence process control in additive manufacturing
Systems, methods, and media for additive manufacturing are provided. In some embodiments, an additive manufacturing system comprises: a hardware processor that is configured to: receive a captured image; apply a trained failure classifier to a low-resolution version of the captured image; determine...
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| creator | Pinskiy, Vadim Nirmaleswaran, Aswin Raghav Limoge, Damas Putman, Matthew C |
| description | Systems, methods, and media for additive manufacturing are provided. In some embodiments, an additive manufacturing system comprises: a hardware processor that is configured to: receive a captured image; apply a trained failure classifier to a low-resolution version of the captured image; determine that a non-recoverable failure is not present in the printed layer of the object; generate a cropped version of the low-resolution version of the captured image; apply a trained binary error classifier to the cropped version of the low-resolution version of the captured image; determine that an error is present in the printed layer of the object; apply a trained extrusion classifier to the captured image, wherein the trained extrusion classifier generates an extrusion quality score; and adjust a value of a parameter of the print head based on the extrusion quality score to print a subsequent layer of the printed object. |
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In some embodiments, an additive manufacturing system comprises: a hardware processor that is configured to: receive a captured image; apply a trained failure classifier to a low-resolution version of the captured image; determine that a non-recoverable failure is not present in the printed layer of the object; generate a cropped version of the low-resolution version of the captured image; apply a trained binary error classifier to the cropped version of the low-resolution version of the captured image; determine that an error is present in the printed layer of the object; apply a trained extrusion classifier to the captured image, wherein the trained extrusion classifier generates an extrusion quality score; and adjust a value of a parameter of the print head based on the extrusion quality score to print a subsequent layer of the printed object.</description><language>eng</language><subject>ADDITIVE MANUFACTURING TECHNOLOGY ; ADDITIVE MANUFACTURING, i.e. MANUFACTURING OFTHREE-DIMENSIONAL [3-D] OBJECTS BY ADDITIVE DEPOSITION, ADDITIVEAGGLOMERATION OR ADDITIVE LAYERING, e.g. BY 3-D PRINTING,STEREOLITHOGRAPHY OR SELECTIVE LASER SINTERING ; AFTER-TREATMENT OF THE SHAPED PRODUCTS, e.g. REPAIRING ; CALCULATING ; CASTING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; MAKING METALLIC POWDER ; MANUFACTURE OF ARTICLES FROM METALLIC POWDER ; PERFORMING OPERATIONS ; PHYSICS ; POWDER METALLURGY ; SHAPING OF MATERIAL IN A PLASTIC STATE, NOT OTHERWISE PROVIDEDFOR ; SHAPING OR JOINING OF PLASTICS ; TRANSPORTING ; WORKING METALLIC POWDER ; WORKING OF PLASTICS ; WORKING OF SUBSTANCES IN A PLASTIC STATE, IN GENERAL</subject><creationdate>2023</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230822&DB=EPODOC&CC=US&NR=11731368B2$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230822&DB=EPODOC&CC=US&NR=11731368B2$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Pinskiy, Vadim</creatorcontrib><creatorcontrib>Nirmaleswaran, Aswin Raghav</creatorcontrib><creatorcontrib>Limoge, Damas</creatorcontrib><creatorcontrib>Putman, Matthew C</creatorcontrib><title>Systems, methods, and media for artificial intelligence process control in additive manufacturing</title><description>Systems, methods, and media for additive manufacturing are provided. In some embodiments, an additive manufacturing system comprises: a hardware processor that is configured to: receive a captured image; apply a trained failure classifier to a low-resolution version of the captured image; determine that a non-recoverable failure is not present in the printed layer of the object; generate a cropped version of the low-resolution version of the captured image; apply a trained binary error classifier to the cropped version of the low-resolution version of the captured image; determine that an error is present in the printed layer of the object; apply a trained extrusion classifier to the captured image, wherein the trained extrusion classifier generates an extrusion quality score; and adjust a value of a parameter of the print head based on the extrusion quality score to print a subsequent layer of the printed object.</description><subject>ADDITIVE MANUFACTURING TECHNOLOGY</subject><subject>ADDITIVE MANUFACTURING, i.e. MANUFACTURING OFTHREE-DIMENSIONAL [3-D] OBJECTS BY ADDITIVE DEPOSITION, ADDITIVEAGGLOMERATION OR ADDITIVE LAYERING, e.g. BY 3-D PRINTING,STEREOLITHOGRAPHY OR SELECTIVE LASER SINTERING</subject><subject>AFTER-TREATMENT OF THE SHAPED PRODUCTS, e.g. REPAIRING</subject><subject>CALCULATING</subject><subject>CASTING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>MAKING METALLIC POWDER</subject><subject>MANUFACTURE OF ARTICLES FROM METALLIC POWDER</subject><subject>PERFORMING OPERATIONS</subject><subject>PHYSICS</subject><subject>POWDER METALLURGY</subject><subject>SHAPING OF MATERIAL IN A PLASTIC STATE, NOT OTHERWISE PROVIDEDFOR</subject><subject>SHAPING OR JOINING OF PLASTICS</subject><subject>TRANSPORTING</subject><subject>WORKING METALLIC POWDER</subject><subject>WORKING OF PLASTICS</subject><subject>WORKING OF SUBSTANCES IN A PLASTIC STATE, IN GENERAL</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNijEKAjEQRbexEPUOY69FXFBrRbFfrZchmawDySQks4K3dwUPYPXf4_15g927KsW6gUj6TG4CFDeJYwSfCmBR9mwZA7AohcADiSXIJVmqFWwSLekbAZ1j5RdBRBk9Wh0Ly7BsZh5DpdVvF836ermfb1vKqaea0ZKQ9o_OmENr2v3xtGv_-XwAId0-Ng</recordid><startdate>20230822</startdate><enddate>20230822</enddate><creator>Pinskiy, Vadim</creator><creator>Nirmaleswaran, Aswin Raghav</creator><creator>Limoge, Damas</creator><creator>Putman, Matthew C</creator><scope>EVB</scope></search><sort><creationdate>20230822</creationdate><title>Systems, methods, and media for artificial intelligence process control in additive manufacturing</title><author>Pinskiy, Vadim ; Nirmaleswaran, Aswin Raghav ; Limoge, Damas ; Putman, Matthew C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US11731368B23</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2023</creationdate><topic>ADDITIVE MANUFACTURING TECHNOLOGY</topic><topic>ADDITIVE MANUFACTURING, i.e. MANUFACTURING OFTHREE-DIMENSIONAL [3-D] OBJECTS BY ADDITIVE DEPOSITION, ADDITIVEAGGLOMERATION OR ADDITIVE LAYERING, e.g. BY 3-D PRINTING,STEREOLITHOGRAPHY OR SELECTIVE LASER SINTERING</topic><topic>AFTER-TREATMENT OF THE SHAPED PRODUCTS, e.g. REPAIRING</topic><topic>CALCULATING</topic><topic>CASTING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>MAKING METALLIC POWDER</topic><topic>MANUFACTURE OF ARTICLES FROM METALLIC POWDER</topic><topic>PERFORMING OPERATIONS</topic><topic>PHYSICS</topic><topic>POWDER METALLURGY</topic><topic>SHAPING OF MATERIAL IN A PLASTIC STATE, NOT OTHERWISE PROVIDEDFOR</topic><topic>SHAPING OR JOINING OF PLASTICS</topic><topic>TRANSPORTING</topic><topic>WORKING METALLIC POWDER</topic><topic>WORKING OF PLASTICS</topic><topic>WORKING OF SUBSTANCES IN A PLASTIC STATE, IN GENERAL</topic><toplevel>online_resources</toplevel><creatorcontrib>Pinskiy, Vadim</creatorcontrib><creatorcontrib>Nirmaleswaran, Aswin Raghav</creatorcontrib><creatorcontrib>Limoge, Damas</creatorcontrib><creatorcontrib>Putman, Matthew C</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Pinskiy, Vadim</au><au>Nirmaleswaran, Aswin Raghav</au><au>Limoge, Damas</au><au>Putman, Matthew C</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Systems, methods, and media for artificial intelligence process control in additive manufacturing</title><date>2023-08-22</date><risdate>2023</risdate><abstract>Systems, methods, and media for additive manufacturing are provided. In some embodiments, an additive manufacturing system comprises: a hardware processor that is configured to: receive a captured image; apply a trained failure classifier to a low-resolution version of the captured image; determine that a non-recoverable failure is not present in the printed layer of the object; generate a cropped version of the low-resolution version of the captured image; apply a trained binary error classifier to the cropped version of the low-resolution version of the captured image; determine that an error is present in the printed layer of the object; apply a trained extrusion classifier to the captured image, wherein the trained extrusion classifier generates an extrusion quality score; and adjust a value of a parameter of the print head based on the extrusion quality score to print a subsequent layer of the printed object.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | ADDITIVE MANUFACTURING TECHNOLOGY ADDITIVE MANUFACTURING, i.e. MANUFACTURING OFTHREE-DIMENSIONAL [3-D] OBJECTS BY ADDITIVE DEPOSITION, ADDITIVEAGGLOMERATION OR ADDITIVE LAYERING, e.g. BY 3-D PRINTING,STEREOLITHOGRAPHY OR SELECTIVE LASER SINTERING AFTER-TREATMENT OF THE SHAPED PRODUCTS, e.g. REPAIRING CALCULATING CASTING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING MAKING METALLIC POWDER MANUFACTURE OF ARTICLES FROM METALLIC POWDER PERFORMING OPERATIONS PHYSICS POWDER METALLURGY SHAPING OF MATERIAL IN A PLASTIC STATE, NOT OTHERWISE PROVIDEDFOR SHAPING OR JOINING OF PLASTICS TRANSPORTING WORKING METALLIC POWDER WORKING OF PLASTICS WORKING OF SUBSTANCES IN A PLASTIC STATE, IN GENERAL |
| title | Systems, methods, and media for artificial intelligence process control in additive manufacturing |
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