About the presentation
Additive manufacturing (AM) and advanced materials continue to dominate the conversation about transforming industrial production. The need to inspect and evaluate internal and external integrity of additive parts and composite materials has driven a parallel evolution in non-destructive testing (NDT), robotics, metrology, and inspection software. For more than 20 years, industrial robots have been used to automate the use of NDT in factories, along with sophisticated hardware and software systems supported by highly skilled automation engineers. The level of complexity and associated costs involved are limiting factors in proliferation, in addition to the diversity of the commercial and custom software components required. This session presents a new approach to semi-manual and robotized NDT based on a new-generation integrated software workflow. The latest advances in robotics, as well as position encoding and 3D metrology technologies, enable this transformative progress. A flexible software architecture is revealed, and a new workflow is demonstrated for aerospace composite testing and automotive resistance spot weld applications.
Powered by AMT and managed by GIE Media, The IMTS 2022 Conference features 69 different sessions you won’t want to miss so register today. Focused on a range of topics that include process innovation, plant operations, quality/inspection, and automation, The IMTS 2022 Conference addresses improving productivity; improving part quality; and developing a stable, competent workforce to lower the cost of manufacturing in the United States and create new levels of market demand.
Meet your presenter
François Mainguy worked at R/D Tech from 1995 to 1998 as their first applied physics technician working with phased array and EMAT ultrasound technologies. He left to eventually found HARFANG Microtechniques in August 2001. He introduced the first portable ultrasound phased array system for nondestructive evaluation in June 2002. In 2005, he sold his company to The Sonatest Group (Milton Keynes, UK), where he spearheaded the development of next-generation instruments and probes. In June 2008, he founded UNGAVA in Québec City to offer design, engineering, prototyping, and OEM production for industrial customers involved in instrumentation. In 2013, he started his third start-up named PRAGMA, specialized in the design, manufacturing, and selling of portable instruments and systems for nondestructive testing (NDT). Mainguy has technical training in applied physics engineering (Cégep La Pocatière), an electrical engineering degree from École de Technologie Supérieure (Montréal), and a specialization in microelectronics at École d’Ingénieurs du Canton de Neuchâtel (Switzerland).
Scott Everling drives the creation of new measurement solutions through integration and automation of Hexagon Manufacturing Intelligence’s core products. This portfolio includes coordinate measurement machine (CMM) technology, laser tracker, and white light (WLS) solutions that integrate with machine tools, robots, and within other automated environments. Everling has worked in the metrology industry for more than two decades, solving precision manufacturing measurement problems in a wide variety of industries. His background includes several years chasing precision at Stanford Linear Accelerator Center, as well as operating a measurement consulting and programming firm concentrating on automotive and aerospace powertrain applications. He holds a mechanical engineering degree from Cornell University.
About the company
Hexagon works with digital reality solutions, combining sensor, software, and autonomous technologies. We’re putting data to work to boost efficiency, productivity, quality, and safety across industrial, manufacturing, infrastructure, public sector, and mobility applications. Our technologies are shaping production and people-related ecosystems to become increasingly connected and autonomous – ensuring a scalable, sustainable future. Hexagon’s manufacturing intelligence division provides solutions that use data from design and engineering, production, and metrology to make manufacturing smarter.