Datanomix, Flexxbotics partner to automate production monitoring - Today's Medical Developments

2022-07-31 10:09:57 By : Mr. Please Contact Evin Wong

Precision manufacturers can now monitor Universal Robots workspaces in real time and throughout time to maximize return on investment (ROI) and realize continuous improvement.

By partnering with Flexxbotics, Datanomix extends its automated production intelligence coverage to Universal Robot cells, helping power lights-out and automated operations at precision manufacturers. As part of the technology partnership with Flexxbotics, Datanomix gains access to real-time operational data for Universal Robots from Flexxbotics via their FlexxConnect platform. Advanced utilization and performance data for Universal Robots is collected and displayed in the Datanomix platform, offering insights into both cobot and CNC machine cycle time, part counts, run time, and machine/robot status so precision manufacturers can make better-informed decisions around automating their factory. In addition, FlexxConnect provides centralized and revision controlled cobot and CNC program management capabilities, and guided workflows for both cobot operators and CNC operators.

“Datanomix customers are investing heavily in automation, and robotics are a key success factor in the automation movement,” says Greg McHale, co-founder and CTO of Datanomix. “Our job is to provide manufacturers with the data and insights they need to help optimize their factory operations. Partnering with Flexxbotics delivers a turnkey integration with Universal Robots that offers deep insights into robot performance, cycle time, utilization, and capacity, satisfying pent-up demand from our customers. And this is just the start of our collaboration to help automate more of our combined customers’ operations.”

With this initial integration, existing Flexxbotics customers can add Datanomix to their deployments, and similarly, Datanomix customers can add the Flexxbotics management platform to Universal Robot installations. Using Flexxbotics’ underlying technology, the Datanomix platform receives performance information directly from Universal Robots, visualizing it alongside the performance data from the CNC machines the robots empower.

“The partnership between Datanomix and Flexxbotics was a natural fit,” says Tyler Bouchard, CEO of Flexxbotics. “In addition to sharing several customers, more importantly, we share a common philosophy of delivering advanced functionality through a simple, intuitive user experience that complements manufacturing workflows instead of working against them. Customers who love Flexxbotics love Datanomix and vice versa, and the enthusiasm for the partnership has been overwhelming.”

The Datanomix Platform automates the collection and analysis of manufacturing data and delivers deep insights into production performance, both in real-time and over-time. Designed for growth-oriented precision manufacturers, the Datanomix platform delivers industry-leading innovation of manufacturing productivity with no operator input required, and without burdening the end user with cumbersome analysis or data crunching. The Flexxbotics platform significantly increases cobot tended CNC utilization and productivity through a suite of robot redeployment, robot monitoring, robot to CNC connectivity, guided workflow, and robot/CNC program management solutions.

Discover the uses to industrial automation within manufacturing.

About the presentation Modern manufacturing deployed robots and other automation to reduce the need for manual operations and increase throughput. Driven by shortages of skilled labor and competitive pressures, it’s no longer enough to only automate manual tasks. Intelligent industrial automation provides real-time decision making that’ll drive productivity, profitability, and manufacturing flexibility. Renishaw explores the current state of advanced manufacturing and explains technologies that can drive intelligent automation. Learn practical steps to:

• Establish a stable automated process • Obtain accurate, actionable data throughout the manufacturing process (Industry 4.0) • Deploy real time process control (smart manufacturing) • Ensure quality through integrated metrology tools

Meet your presenter Dan Skulan helps companies increase production throughput, maximize flexibility, and ensure optimal part quality in precision metal manufacturing using computer numerical control (CNC) and additive technologies. Backed by a global team of industrial metrologists, he works consultatively with companies that wish to achieve higher levels of productivity while reducing cost. Skulan holds degrees in electronics technology, industrial manufacturing, and marketing. He has more than 35 years of experience with manufacturing process evaluation, design, and automated process control.

About the company Renishaw develops technology supporting the manufacturing process control. The company’s products advance its customers’ operational performance – from improving manufacturing efficiencies and raising product quality, to maximizing research capabilities and improving the efficacy of medical procedures. A world leader in metrology systems, Renishaw also offers a range of calibration, measurement, positioning, and inspection solutions. Specified by leading OEMs around the world, Renishaw encoders, calibration, and measurement systems enable superior process control. Renishaw products are used for applications such as machine tool automation, coordinate measurement, additive manufacturing, gaging, Raman spectroscopy, machine calibration, position feedback, CAD/CAM, dentistry, shape memory alloys, large-scale surveying, stereotactic neurosurgery, and medical diagnostics. Renishaw aims to be a long-term partner in these areas, offering products that meet customers’ needs backed up by expert technical and commercial support.

Learn the latest in design and manufacture trends of additive manufacturing.

Join us on August 3, 2022, at 12PM ET for our look at how additive manufacturing is accelerating innovative design and manufacturing roundtable. Experts from ISCAR, DMG MORI , and Exact Metrology will be on hand to answer your questions.

When you register for this free webinar, you will hear from industry experts about how:

Don’t delay, make sure to join us for this insightful webinar. Registration is free and once registered, you will receive a link post-event to watch on-demand.

Learn how new-generation software impacts automation and metrology.

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.

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.

The paper discusses the causes of ESC and how to combat them.