QIF for Integrated Information and Improved Quality by Dr. Toby Maw, Manufacturing Technology Centre
Highlighting technology capabilities that support Model-Based Definition and the Digital Thread using QIF.
The digitalization of manufacturing means that data is being produced at every stage of the process chain, providing the opportunity to make improved decisions for process improvement. Reliable, traceable and accurate data is the key to the success of these decisions. Measurement is, therefore, becoming integrated into production processes as a trusted source of data. In-line, in-process, and end of line inspection can assist engineering, and potentially feedback to design and manufacturing.
The traditional method of product definition via 2D engineering drawings, is not conducive to traceable multi-stage measurement processes, resulting in significant duplication of effort downstream. Model-Based Definition (MBD) and the concept of the digital thread provides a more appropriate scenario. It allows machine readable design requirements to be re-used downstream through measurement planning, which leads to inspection results that link directly to design characteristics in the model. Using the same design characteristics, manufacturing process parameters can also be mapped to the model, and subsequently be linked to final part quality information. This unlocks a host of benefits to manufacturing organizations, where inspection results can help identify process improvements throughout manufacturing and highlight development opportunities in component designs.
This presentation will discuss the ‘Integrated Information for Improved Quality Demonstrators (IIIQ-D)’ core research project at the MTC, involving a large consortium of manufacturing primes and technology providers. The project objective was to create a manufacturing system and production cycle to demonstrate a range of benefits derived from the integration of design, manufacturing and quality data. Commercially available technologies were integrated into a manufacturing system through development of a digital thread, using the Quality Information Framework (QIF). An explanation will be provided of how the technologies within the system interacted with product definition data throughout the entire process chain, demonstrating data traceability for root cause analysis, and data driven decision support for process improvement.
Dr. Toby Maw
Senior Research Engineer and Core Research Programme Coordinator in Metrology & NDT
Manufacturing Technology Centre
Toby Maw is a Senior Research Engineer in Metrology & NDT and Core Research Programme Coordinator in digital engineering at the Manufacturing Technology Centre (MTC). His research background stemmed from a PhD in experimental physics from Loughborough University in the field of the characterisation of novel materials. He has over 7 years metrology experience having worked at Nikon Metrology for 3 years in the coordinate measurement machine software development team before joining the MTC, where he now leads the Computer Aided Inspection and Quality research area. Toby has managed and technically led projects across multiple sectors, specialising in the area of digital measurement integration.
3D Collaboration & Interoperability Congress
The 3D Collaboration & Interoperability Congress (3D CIC) focuses on 3D CAD collaboration and interoperability for the entire product lifecycle. The 2019 theme of Trust Digital showcasing organizations that have evolved to trusting digital: tracking their product’s condition digitally at each stage of the product lifecycle. 3D CIC 2019 will be held October 7-11, 2019 at the Buffalo Rose Events Center in Golden, Colorado. Find out more and register at 3dcic.com.