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Conference Paper: Development of a pilot manufacturing cyberinfrastructure with an information rich mechanical cad 3D model repository

TitleDevelopment of a pilot manufacturing cyberinfrastructure with an information rich mechanical cad 3D model repository
Authors
KeywordsCAD Model Repository
Data Management
Digital Thread
Machine Learning CAD
Manufacturing Cyber Infrastructure
Issue Date2019
Citation
ASME 2019 14th International Manufacturing Science and Engineering Conference, MSEC 2019, 2019, v. 1 How to Cite?
AbstractData driven advanced manufacturing research is dependenton access to large datasets made available from across theproduct lifecycle-from the concept design phase all the waydown to end use and disposal. Despite such data being generatedat a rapid pace, most product design data is archived ininaccessible silos. This is particularly acute in academic researchlaboratories and with data generated during product design andmanufacturing courses. This project seeks to create aninfrastructure that allow users (academia and the general public)to easily upload project data and related meta-data. Currentmanufacturing research must shift from siloed repositories ofproduct manufacturing data to a federated, decentralized, openand inter-operable approach. In this regard, we build 'FabWave'a cyber-infrastructure tool designed to capture manufacturingdata. In its first pilot implementation, we focused our attentionto gathering information rich 3D Mechanical CAD data andrelated meta-data associated with them, with the intent to makeit easier for users to upload and access product design data. Wedescribe workflows that we have initially tested out within thetwo academic universities and under two different coursestructures. We have also developed automated workflows togather license appropriate CAD assemblies from commercialrepositories. Our intent is to create the only known largestavailable CAD model set within academia for enabling researchin data-driven computational research in digital design,fabrication and quality control.
Persistent Identifierhttp://hdl.handle.net/10722/341521

 

DC FieldValueLanguage
dc.contributor.authorBharadwaj, Akshay-
dc.contributor.authorXu, Yang-
dc.contributor.authorAngrish, Atin-
dc.contributor.authorChen, Yong-
dc.contributor.authorStarly, Binil-
dc.date.accessioned2024-03-13T08:43:27Z-
dc.date.available2024-03-13T08:43:27Z-
dc.date.issued2019-
dc.identifier.citationASME 2019 14th International Manufacturing Science and Engineering Conference, MSEC 2019, 2019, v. 1-
dc.identifier.urihttp://hdl.handle.net/10722/341521-
dc.description.abstractData driven advanced manufacturing research is dependenton access to large datasets made available from across theproduct lifecycle-from the concept design phase all the waydown to end use and disposal. Despite such data being generatedat a rapid pace, most product design data is archived ininaccessible silos. This is particularly acute in academic researchlaboratories and with data generated during product design andmanufacturing courses. This project seeks to create aninfrastructure that allow users (academia and the general public)to easily upload project data and related meta-data. Currentmanufacturing research must shift from siloed repositories ofproduct manufacturing data to a federated, decentralized, openand inter-operable approach. In this regard, we build 'FabWave'a cyber-infrastructure tool designed to capture manufacturingdata. In its first pilot implementation, we focused our attentionto gathering information rich 3D Mechanical CAD data andrelated meta-data associated with them, with the intent to makeit easier for users to upload and access product design data. Wedescribe workflows that we have initially tested out within thetwo academic universities and under two different coursestructures. We have also developed automated workflows togather license appropriate CAD assemblies from commercialrepositories. Our intent is to create the only known largestavailable CAD model set within academia for enabling researchin data-driven computational research in digital design,fabrication and quality control.-
dc.languageeng-
dc.relation.ispartofASME 2019 14th International Manufacturing Science and Engineering Conference, MSEC 2019-
dc.subjectCAD Model Repository-
dc.subjectData Management-
dc.subjectDigital Thread-
dc.subjectMachine Learning CAD-
dc.subjectManufacturing Cyber Infrastructure-
dc.titleDevelopment of a pilot manufacturing cyberinfrastructure with an information rich mechanical cad 3D model repository-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1115/MSEC2019-2882-
dc.identifier.scopuseid_2-s2.0-85076519904-
dc.identifier.volume1-

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