John Horst
Metrology Interoperability Project Leader
National Institute of Standards and Technology (NIST)
Interoperability successes in the CAD world include: 1) the use of ISO STEP AP203 for persistent representation and CAD-to-CAD transfer of part geometry and 2) the utility of CAD-to-CAD translation, a very challenging task given the rich semantic complexity of 3D geometry, GD&T, associativity, and PMI. Interoperability problems include 1) missing or corrupted data due to format translation, which situation seems to be causing a retreat to native formats for data transfer, and 2) lack of implementations of standard formats for downstream CAD, e.g., ISO STEP AP238 standard for CAD-to-CAM (Computer-Aided Manufacturing). This is to say, there are currently no interoperability successes to speak of for downstream CAD to manufacturing, even though there are many proprietary solutions and a few standards-based solutions. Looking at this situation as an opportunity, this talk will examine the interoperability solutions being invested in for CAD-to-CAQ (Computer-Aided Quality). In particular, an effort called eQuiPP (Exchange of Quality Measurement Process Plans), driven by the DMSC (Dimensional Metrology Standards Consortium), will be described, as well as other related interoperability investments being made worldwide.
Speaker bio:
John Horst has been working with the manufacturing sector for 20 years. He leads a project team of NIST researchers who enable traceability to information exchange standards in the manufacturing quality domain. NIST generates software conformance test utilities which provide the traceability and ultimately enable interoperability for end users. Working within industry-led standards organizations, NIST facilitates correct and complete interface standards, enables public interoperability testing events, and helps define certification programs, all with a goal to realize savings for both suppliers and end users.
Horst has published research on topics such as an open architecture motion controller for a coordinate measuring machine, a hash table-based algorithm for object pose estimation from a single monocular vision sensor, a spatial/temporal algorithm for computing the distance to objects from a sequence of images, an algorithm for on-line, efficient data reduction of curves in n-dimensional space, an algorithm that generates a smooth trajectory for an autonomous, on-road vehicle, and a new quantitative metric for machine intelligence. He received a masters in electrical engineering from the University of Maryland in 1991.
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