Denise Ebenhoech, Regional Head of Advanced Robotic Applications at KUKA, will present the “Safety Considerations of Mobile Robot Systems Implementations in a Collaborative Environment” session. As the demand for personalized and varied products grows, manufacturers are turning to more flexible solutions like collaborative and mobile robots to meet production needs. The speaking session will discuss the safety considerations that manufacturers must take into account when adopting mobile and collaborative robots, as well as share strategies for protecting workers.
Safety Considerations of Mobile Robot Systems Implementations in a Collaborative Environment
With the evolution of manufacturing processes and technologies, the idea of utilizing mechanized system to perform repetitive tasks has been paramount. From the automation concepts of Henry Ford to the current lights-out lean manufacturing and working towards a Tony Stark-like autonomous industrial environment, we have been able to expand the use of robots.
This presentation is a journey into automation and integration. It includes the “why” and “how,” with case studies from successful companies entering automation and integration. ROI, the areas for the why, and how you can go from dreaming about it to being successful at it will be discussed.
The introduction of deep learning within the machine vision industry has allowed significantly more vision applications to be successfully deployed than in the past. Its real strength comes from its ability to handle more variability from part to part that is common in manufacturing but has been an issue for traditional machine vision. Its can not only identify defects much more reliably but, just as important, reduce false rejects caused by slight part variation.
This presentation will show a real-world application that was considered extremely challenging, if not impossible, with traditional vision applications.
In today’s world, delivering quality products to end users is absolutely critical. Social media and the internet have made knowledge instantaneous and pervasive, and a misstep or flaw can cause catastrophic damage to a company; reputations which have taken years to build can come crashing down in days, if not hours.
The challenge is that maintaining quality is not easy — there are too many variables at play, even in the cleanest of environments. And conditions can change almost instantaneously. The trick, then, is to be adaptable, and emerging technologies (such as big data and blockchain) are being adopted and harnessed to dynamically (and automatically) alter quality.
Drawing upon some real-world examples from different industries, this session will explore the future of quality.
Many artificial intelligence applications today are effectively black boxes lacking the ability to explain the reasoning behind their decisions. As AI expands into areas with a large impact on people, such as healthcare, autonomous vehicles and automated machines, it will be critical to subject the technology to greater human scrutiny. Explainable AI won’t replace human workers; rather, it will complement and support people, so they can make better, safer, faster, more accurate decisions.
Use cases for explainable AI to be discussed include detecting abnormal financial transactions, assessing driving style, and analyzing root-cause of product quality issues.
With the new era of Industrial Internet of Things (IIoT), manufacturers and machine builders are struggling to understand how it helps them with their businesses, automation, production and where to begin IIoT or Industry 4.0 implementations.
This interactive presentation provides insights for machine builders as to which machine or system capabilities they can unleash to gain the competitive advantage when implementing IIoT-ready controls architectures with IO-Link while ensuring improvements to their production abilities and bottom line. For end users of automation, this presentation provides insightful information on what benefits they can reap with IO-Link-based IIoT implementations while ensuring continuity of production.
Typically, loading a machine center (CNC) has been performed by an operator as a manual process. This task can be inefficient and possibly dangerous if heavy loads are involved. The efficiency of the CNC is dependent on the operator to initiate machine start. Many factors play into how frequently the machine cycles. Many uncontrolled variables influence this frequency. Robotic systems are available to streamline the complete process.
Global competition requires manufacturers to utilize technology to improve machine yield and optimize machine run times. If the labour force is not available or operators are not willing to work shifts, many shops are forced to close the doors which leave valuable hours of each day underutilized. Robotic machine tending systems can be tailored to operate during “lights out,” increasing machine yield and decreasing operator dependency.
With the steady decline of skilled trades in Canada, manufacturers must utilize turnkey technology that can be programmed to perform repeatable load/unload, quality control and cycle time management. Introducing robot technology can bridge the gap lost to working hours, dangerous environments and improved cycle times. Automation component technology is available for multi-task operations that are typically done by skilled labour.
When operators interact with robots during the manufacturing process, the robots are able to sense an operator’s presence thru haptic feedback or environmental (envelope) monitoring. Robots can be slowed to prevent operator injury without requiring time-wasting cycle restart. In cases where delicate parts (pharma) or high-value components (aerospace) are monitored during loading and nesting, human intervention during robot/gripper motion of parts enables these parts to be safely positioned and handled, reducing the potential for damage and process error.
Bonding, coating, painting, printing and sealing operations are commonly deployed in modern manufacturing. The surface preparation processes (e.g. cleaning, abrading, activating, and passivating) performed prior to these operations alter the chemical composition of the surface and are crucial to the adhesion performance of the final products. Inspecting the surface chemical composition is critical for monitoring and controlling the efficacy of the surface preparation process, but inspections have traditionally been performed using dyne subjective and destructive methods (e.g. dyne ink and water break tests) which are inappropriate for an automated manufacturing environment.
Machine vision systems are commonly used in manufacturing to assess the dimensional analysis, printing alignment, finish/luster, and colorimetry of surfaces but, to date, have not been leveraged for the inspection of surface chemistry. This presentation introduces a technology that combines machine vision systems with ballistic drop-water, contact-angle analysis resulting in a surface chemistry inspection technique tailored for the production environment. A fully automated contact-angle measurement system brings a novel and precise technique from the laboratory onto the manufacturing line that can be easily integrated with articulated robotics systems and can be controlled through modern industrial communication protocols.
Attendees will develop an appreciation of surface preparation processes and learn about the impacts of surface chemical composition on interfacial adhesion product performance. They will become familiar with surface cleanliness characterization techniques and be more able to identify the critical control points within their manufacturing processes for automated surface quality control.
This presentation focuses on the next-generation, single-aisle aircraft (late 2020s) expected to adopt advanced manufacturing robotic applications (cobots, mobots), automated fiber placement, additive manufacturing, and thermoplastic composites airframe structures. The aircraft’s clean-sheet designs will integrate advancing robotic technologies with transforming the assembly process by eliminating traditional monument-style production equipment and tooling. The next single-aisle aircraft design will standardize the practices of additive manufacturing components (3D printing) which obsoletes many traditional machining technologies.
Many of today’s CNCs include specialized features and programs that make complex machining easier and more efficient, while maintaining the tight tolerances and repeatability required in the industry. This presentation will cover the benefits of using part-centric workflow, where programmers simply program the geometry of the desired part and then use the workpiece coordinate system offsets, tool length and radius geometry offsets to run the program. We will also discuss CNC technology, features, and enhancements to aid in the manufacturing of complex aerospace and propulsion parts.
Industrial robots are the heart of lean manufacturing and are vital to the current vibrant manufacturing economy in North America. This presentation is an introduction to the industrial robotics or flexible automation industry. We will explore robot-based automation systems to include how the industry functions, why to choose robot-based automation, principles of system integration, general principles of robot technology, the business case for automating and calculating ROI, plus the common mistakes made in robot integration. The attendee will learn through discussion and evaluating system photos and videos illustrating various robotic-based flexible automation systems.