About the presentation
Additive manufacturing (AM) and advanced materials continue to dominate the conversation about transforming industrial manufacturing. The need to inspect and evaluate the internal and external integrity of additive parts and composite materials has led to a parallel evolution in non-destructive testing (NDT), robotics, metrology and inspection software. For over 20 years, industrial robots have been used to automate the use of NDT in factories, along with advanced hardware and software systems supported by highly skilled automation engineers. In addition to the diversity of commercial and custom software components required, complexity and associated cost are limiting factors in proliferation. This session presents a new approach to semi-manual and robotic NDT based on a new generation integrated software workflow. The latest advances in robotics, as well as position coding technology and 3D metrology, enable these transformative advances. A flexible software architecture is unveiled and a new workflow is demonstrated for testing composites in aerospace and spot welding applications for automotive resistors.
Powered by AMT and managed by GIE Media, The IMTS 2022 conference contains 69 different sessions that you don’t want to miss, so Register today. Focused on a range of topics including process innovation, plant operations, quality/inspection and automation, The IMTS 2022 Conference focuses on improving productivity; improving the quality of parts; and developing a stable, skilled workforce to reduce manufacturing costs 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 engineer working with phased array and EMAT ultrasound technologies. He left to eventually found HARFANG Microtechniques in August 2001. In June 2002, he introduced the first portable ultrasonic phased array system for non-destructive evaluation. In 2005, he sold his company to The Sonatest Group (Milton Keynes, UK), where he led the development of the next generation of instruments and probes. In June 2008, he founded UNGAVA in Québec City to offer design, engineering, prototyping and OEM manufacturing to industrial customers involved in instrumentation. In 2013, he started his third start-up called PRAGMA, specializing in the design, manufacture and sale of portable instruments and systems for non-destructive testing (NDT). Mainguy has a technical education in applied physics (Cégep La Pocatière), a degree in electrical engineering from the École de Technologie Supérieure (Montréal) and a specialization in microelectronics from the École d’Ingénieurs du Canton de Neuchâtel (Switzerland).
Scott Everling drives the creation of new measurement solutions by integrating and automating Hexagon Manufacturing Intelligence core products. This portfolio includes coordinate measuring machine technology (CMM), laser tracker and white light solutions (WLS) that integrate with machine tools, robots and 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 hunting for precision at Stanford Linear Accelerator Center, as well as running a measurement consulting and programming company focused on automotive and aerospace powertrain applications. He has a degree in mechanical engineering from Cornell University.
About the company
Hexagon works with digital reality solutions, combining sensor, software and autonomous technologies. We put data to work to improve efficiency, productivity, quality and safety in industrial, manufacturing, infrastructure, public sector and mobility applications. Our technologies are shaping production and people-related ecosystems to become increasingly connected and autonomous, enabling a scalable, sustainable future. Hexagon’s manufacturing intelligence division provides solutions that use data from design and engineering, manufacturing and metrology to make manufacturing smarter.