Contract Notice Miscellaneous Special Purpose MachineryFuture Automated Aerospace Assembly Demonstrator Phase 2 Fa3d2 ConceptDescription The Minimum Requirements Of 3D Modelling And Simulation To Enable Virtual Commissioning Are As Follows A All Automation Tooling And Associated Control Equipment Must Be Modelled In 3D In The Desired Cad Package Or Supplied In The Required Format As Set By Uon As A Minimum The Supplied Solution Must Be Able To Accept Cad Models In Catia V5 R2017 As An Input And Be Able To Output To A Compatible Format This Requirement Does Not Constrain The Format Used Internally For The Digital Twin And Suppliers Are Free To Recommend Their Preferred Modelling And Simulation Package For That Purpose B The Cad Model Must Be Supplied With Embedded Forward And Inverse Kinematics To Enable Simulation And Verification Of The Fa3d2 And Its Associated Processes C All Acceleration And Speed Parameters Must Be Set In The Kinematics Assemblies Within The Model To Enable Real Time Simulation And Motion Visualisation D Process Positions Must Be Set Within The Kinematics For Process Specific Positions Such As Home Or Closed For Tooling Clamps Etc E Smart Devices Must Be Generated To Simulate Actual Device Behaviour And Enable Plc Off Line Programming F A Post Processor Must Be Supplied To Enable Realistic Simulation And Off Line Programming Of The Fa3d2 And Its Automated Processes G A Full Process And Method Along With Suitable Training Data Where Possible Must Be Supplied To Enable Uon Users To Generate Off Line Programmes For The Automated Processes Including Plc Code Generation And Verification H The Supplier Must Demonstrate Their 3D Simulation And Virtual Commission Capabilities And Any Previous Implemented Solutions Within Their Tender Submission I The Installed System Must Be In Accordance With The Framework And Requirements Set Out In Work Package 2 Smart Manufacturing And In Collaboration With The Successful Tenderers Of Wp2 2 Iot Network Infrastructure Wp2 3 Digital Twin And Wp2 4 Data Analytics And Machine Learning Time Limit For Receipt Of Tenders Or Requests To Participate Date 18 10 2019 Local Time 12 00
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