Manufacturing Technology

Epson launches N6 compact 6-Axis robot and hollow force sensor

Epson has launched the new N6 compact 6-axis (vertically articulated) industrial robot and the SH250LH, a new force sensor with a hollow design. Epson’s N series of compact 6-axis robots perform tasks in tight spaces more efficiently than other robots because of a uniquely engineered “folding” arm. The N6 has a longer arm (1,000 mm) and can handle higher payloads (6 kg) than Epson’s previously released N2 and is ideal for loading/unloading small electronic products and automotive parts into/from test equipment. It is also perfect for shelving/unshelving medical products and much more and has a smaller installation footprint than earlier 6-axis robots and can reach a wider range of places, from the top shelf to the bottom. These features increase productivity and the efficiency with which factory space is used. N6 Features The unique arm structure and arm length give the N6 a small installation footprint while allowing it to reach high places. Taking advantage of the N series’ folding arm design and a long (1,000 mm) arm, the N6 can access locations that are higher than those that can be reached by the N2 and by Epson’s 900-mm class 6-axis robots (the C4L and C8L). Users can exploit these features by laying out factory shelves and equipment vertically instead of horizontally to enable the N6 to use previously wasted vertical space. Even with an arm length of 1,000 mm, the N6 can reach objects at the same height as the C8XL, Epson’s 1,400-mm class 6-axis robot. Moreover, because the N6 can be installed closer to shelves and equipment than a 1,400-mm arm, the installation space can be reduced*2 by about 75%. In addition to installing the N6 in narrow spaces and inside equipment where robots previously would not fit, users have the freedom to consider more compact factory layouts. 2. Hollow arm provides storage space for cables and hoses A hollow arm design is employed to allow cables and hoses to be routed through the centre of the arm at joints […]

Robot see, Robot do: Bots learn by watching human behaviour

Robots following coded instructions to complete a task? Old school. Robots learning to do things by watching how humans do it? That’s the future. Stanford’s Animesh Garg and Marynel Vázquez shared their research in a talk on “Generalisable Autonomy for Robotic Mobility and Manipulation” at the GPU Technology Conference recently. In lay terms, generalisable autonomy is the idea that a robot can observe human behaviour and learn to imitate it in a way that’s applicable to a variety of tasks and situations. What kinds of situations? Learning to cook by watching YouTube videos, for one. And figuring out how to cross a crowded room for another. Cooking 101 Garg, a postdoctoral researcher at the Stanford Vision and Learning Lab (CVGL), likes to cook. He also likes robots. But what he’s not so keen on is a future full of robots who can only cook one recipe each. While the present is increasingly full of robots that excel at single tasks, Garg is working toward what he calls “the dream of general-purpose robots.” The path to the dream may lie in neural task programming (NTP), a new approach to meta-learning. NTP leverages hierarchy and learns to program with a modular robot API to perform unseen tasks working from only a single test example. For instance, a robot chef would take a cooking video as input and use a hierarchical neural program to break the video data down into what Garg calls a structured representation of the task based on visual cues as well as temporal sequence. Instead of learning a single recipe that’s only good for making spaghetti with meatballs, the robot understands all the subroutines, or components, that make up the task. From there, the budding mechanical chef can apply skills like boiling water, frying meatballs and simmering sauce to other situations. Solving […]

Three game-changers for the manufacturing industry in 2018

Antony Bourne IoT being built into the product design, manufacturers adopting a more service-centric business model, and 3D-printing reaching the tipping point of realizing business benefits on a large scale. These are the three game-changing predictions that Antony Bourne, IFS Global Industry Director of Industrial and High-tech Manufacturing outlines for 2018. 1) By the end of 2018, over 50 percent of manufacturers will be building IoT technology into the design phase of their products. In 2018, IoT will take a decisive step forward in its evolution. If we once thought of IoT as a product’s nervous system, this year will see it grow from picking up signals at the periphery to being the brain of the product, constantly sending, receiving, growing and gathering information, from the center of the product throughout its lifetime, and in the process enabling new services and revenue streams. Manufacturing is undoubtedly heavily impacted by IoT today. According to Global Market Insights, IoT in the manufacturing market was valued at over US$ 20 billion in 2016 and will grow at more than 20 percent up to 2024. Current IoT investments that are unique to the manufacturing environment are taking place in three major initiatives: Smart manufacturing to increase production output, product quality, or operations and workforce safety as well as lower resource consumption Connected products to impact product performance, including collecting detailed information on products in the field, remote diagnostics and remote maintenance Connected supply chains to increase visibility and coordination in the supply chain, tracking assets or inventory for more efficient supply chain execution We will see IoT included as a part of the design process in all three of these IoT initiatives. Manufacturers are realizing that by engineering IoT technology into products and equipment already in the design process, you can monitor not only […]

BuildIT Construction can be fully integrated with 3D data

. Spokesperson: CHEW Beow Kwan, Product Marketing Associate Manager, Asia Pacific, FARO Technologies Please tell us what BuildIT Construction is all about? The BuildIT Construction software leverages on FARO’s cutting-edge 3D metrology capability. FARO is to first to offer this fully integrated building lifecycle Quality Assurance (QA) and Quality Control (QC) management tool empowering construction professionals to continuously evaluate projects with real time comparisons against CAD designs using 3D scan data. The software from FARO uniquely enables laser scanner users to perform immediate, real-time build and verify analysis throughout the entire project, and facilitates a new level of cost management and operational efficiency. BuildIT Construction can be fully integrated with 3D data collected from FARO Focus Laser Scanners, optimised for the FARO TracerM Laser Projector for placement and layout of structural components and is compatible with the FARO Laser Tracker for prefabricated modular positioning. It can also be used seamlessly with other third-party hardware. Where do you see this software being used most? Application areas that will benefit most from the BuildIT Construction software include Architecture, Civil Engineering/Surveying, Construction, Facility Management, Historical Preservation, and Mechanical, Electrical and Plumbing (MEP). AEC professionals will find the software useful for: Verifying accuracy of scan data to design models Detecting incorrect placement or missing features such as walls, columns, beams, pipes, etc. Performing important measurements accurately and quickly Inspecting construction for adherence to building standards Verifying shifts and movements within structural performance over time with 4D analysis Performing real time monitoring of adjacent structures throughout the project lifecycle Is there a lot of construction underway across ASEAN? Prospects for construction in the ASEAN region is generally bright. According to the Global Construction 2030 Report[1], the ASEAN construction market is expected to exceed US$1 trillion by 2030, with growth predominantly driven […]

Industrial Software Platform delivers maximum return

Schneider Electric has announced increasing momentum surrounding customer adoption of the company’s Asset Performance Management (APM) solutions, an integral component of the Industrial Software Platform. Through investments in the cloud, advanced machine learning and augmented reality (AR), coupled with new partnerships, the company empowers customers to maximise their return on capital investment and to improve profitability. “Defining and executing an asset performance strategy is a critical component to improving productivity while safeguarding business continuity,” said Kim Custeau, Asset Performance Management Business Lead at Schneider Electric. “We have been delivering proven, industry leading asset performance solutions for nearly 30 years, and continue to invest in a long-term strategy to drive innovation in this area. “Our focus is to provide real value to our customers by empowering them to maximise return on capital investment and improve profitability. We are proud to see our customer results speak for themselves with significant reported savings. “Industrial IoT (IIoT) and Industry 4.0 provide new opportunities to improve overall business performance, particularly for APM. For owner-operators, this includes operational improvements largely involving improved asset reliability,” said Ralph Rio, Vice President Enterprise Software at ARC Advisory Group. “Users have reported that moving from preventive maintenance to predictive or prescriptive approaches provided a 50 percent savings in maintenance labour and MRO materials. With predictive and prescriptive maintenance, near-zero unplanned downtime for critical equipment can be achieved.” Machine Learning and Prescriptive Analytics Machine learning and advanced pattern recognition play a central role within Schneider Electric’s asset performance solutions, enabling customers to more accurately predict – and proactively resolve – issues before they impact their business. This increases reliability, reduces costs and improves safety. Duke Energy prevented an estimated $35 million cost from early warning detection of a steam turbine problem. Ascend Performance Materials now responds faster to alerts with actionable […]

Low-height skidding system moves heavy loads in the tightest of spaces

Enerpac’s new Low-Heigh t Skidding System is ideal for transformer maintenance. Global hydraulics and heavy lifting technology specialists Enerpac are introducing to Australasia a new Low-Height Skidding System – which stands at just 92mm with the track – for the accurate positioning of heavy loads in tight and awkward spaces. The Enerpac LH-Series Low-Height Skidding System is a modular track system that can jack and slide heavy loads, such as transformers, generators, motors or drives, over a pre-constructed track. Skidding systems are ideally suited to tight spaces where cranes can’t access the load effectively. The new low-height system takes this one step further by using a rigid, durable design that can access even tighter spaces, while still providing high lifting capacities. Skidding systems are typically 200-600mm high, which is still an enormous advantage when cranes can’t access a lift site, but the Low-Height system, at just 92mm, opens possibilities in even tighter, more compact applications. The Low-Height Skidding System is comprised of a series of skid beams moved by hydraulic push-pull units, travelling over a pre-constructed track. A series of special PTFE-coated pads are placed on the skid tracks to reduce friction. The push-pull units are powered by a standard Enerpac Split Flow Pump to ensure each skid beam travels synchronously. When using two skidding units together, the maximum capacity is 3,560 kN of force, which can lift 400 tons, utilising 700 bar (10,000 PSI) hydraulic pressure. The Low-Height Skidding System has a push-pull stroke of 600 mm and is designed to easily change skidding direction, using Enerpac’s globally proven hydraulic pumps and cylinders. Customised solutions can be implemented for complex projects, such as utilising optional track support and connecting both power units together to provide synchronous travel of the load. Such a configuration would be used in applications like […]

Leading Vietnam ceramics manufacturer going from strength to strength

Ian Trousdell, Director, Flowform International Ltd on site with some of the products made for his company by Doan Potters Ltd including Matatiki models. Hung Tran, Senior Merchandiser Doan Potters Ltd is on the right. Doan Potters Ltd., Tan Binh District, Ho Chi Minh City, Vietnam Doan is one of Vietnam’s leading manufacturers of ceramics. With more than 24 years in the business, they provide a good customer experience through their design, quality and reasonable pricing. Established in 1994, Doan Potters Ltd had a turnover in 2017 of $12.5M. The company operates from a 280,000 square feet factory and has production capacity of 200,000 pieces per month and 2,400,000 pieces per year. Their products are mainly shipped to the US market and have the advantage of being manufactured handmade, with special and unique charms. The company has a highly skilled workforce. They conduct in house laboratory testing -lead test, frost resistant test and transit test. Including for consistency of color for mass production, new development test, i.e.: new color, new clay, new technique. Major customers include Lowes, USA; London Drugs, Canada; Home goods, USA; Westelm, USA ad Pier 1, USA. Products shipped for these clients include indoor and outdoor planters, lanterns, candle holders, stools, basket wares and other indoor home accessories. Ian Trousdell, Director of Flowform International and Design for Life Ltd – www.flowform.net – ian.trousdell@flowform.net – currently expanding into China, experienced technical difficulty making figure […]

Revolutionary new beam welding technology to fast-track large manufacturing projects

A new technology could improve the efficiency of large-scale manufacturing projects by enabling firms to perform electron beam welding without a vacuum chamber. EBFLOW, which features a local coarse vacuum that can be transported to and operated on site, has been developed by Cambridge Vacuum Engineering and was launched on 1st January 2018. The technology is designed to simplify the process of thick section welding in the manufacture of a wide range of large structures including ships, pressure vessels, wind farms and towers, nuclear plants, and many of the structures involved in oil and gas exploration and civil engineering projects. To date it’s only been possible to perform electron beam welding – a key technology in the fabrication of large, heavy wall structures – at sites equipped with a vacuum chamber large enough to house the structures under manufacture. But EBFLOW’s coarse vacuum can be mounted on tracks and operated locally. The technology can be used in any plant where large components are welded. In tests, EBFLOW has been shown to be 20 to 30 times faster than conventional arc welding, offering transformational gains in productivity. At the same time, it uses less power than conventional arc processes, lowering a plant’s carbon footprint. Among the myriad of other benefits are the ability to perform low-heat input welds that result in reduced distortion – ensuring quality – and the option to perform NDT testing immediately after welding, fast-tracking the manufacturing process and driving down costs. Speaking ahead of the launch Bob Nicolson, Managing Director at Cambridge Vacuum Engineering said: “This technology will transform the productivity of fabrication processes throughout the world of heavy engineering. In many cases the speed of welding can be 30 times faster than current methods. “The technology has been fully developed and pioneered in Britain and we are […]

Machine learning and Big Data offer massive potential

Marianne Culver, President of RS Components, looks at the short- medium- and long-term impacts of Big Data and how it can be exploited for machine learning and Artificial Intelligence. Just a few decades back, the defence industry was quick to exploit the potential of intelligent machines and systems that could use in-the-field data in order to ‘think for themselves’; primarily to make simple, fact-based decisions that removed the workload from human operatives. This concept of data-based machine learning and Artificial Intelligence (AI) is now seeing much wider deployment in civilian applications too – with many of us not actually realising that we are the information sources creating the data upon which these systems base their decisions. Leading tech firms, such as Google and Netflix, regularly leverage huge amounts of on-tap user-specific data to feed algorithms that ultimately help them streamline and enhance their customer offerings. Replace the term ‘user-specific data’ with ‘machine-specific data’ and it quickly becomes clear that Big Data and machine learning have the potential to revolutionise the manufacturing, process and, indeed, any other networked or machine-based industries. In fact AI-driven procedures are already making a difference across a number of industries, with companies such as Presenso and Predikto already providing AI-based analytical solutions for maintenance operations. Predictive maintenance is a perfect illustration for AI-based systems, as it can leverage a relatively small number of simple but incredibly informative data sets and then use them to predict and provide remedial actions. With the advent of the Industrial Internet of Things (IIoT) and, as a result, Big Data, coupled to an almost exponential expansion in the number of data-providing end points or nodes, this type of capability will become more prevalent, powerful, informative and effective. However, even a single simple manufacturing cell can generate in excess of 50 […]

Innovative Visual Inspect for inspection and design

FARO, for 3D measurement and imaging solutions for factory metrology, construction BIM/CIM, product design, public safety forensics, and 3D solutions applications, announces the availability of the FARO Visual Inspect product family. This innovative platform enables large, complex 3D CAD (computer-aided design) data to be transferred to an iPad and then used for mobile visualisation and comparison to real world conditions. This enables real time, actionable manufacturing insight through earlier stage error detection in the production, construction or design processes. Visual Inspect is a true next generation solution as it moves 3D CAD viewing away from the traditional desktop PC to a mobile “in hand, on demand” solution. 3D CAD data is stored locally on the iPad through an innovative, compressed, mobile format which provides an exceptional degree of flexibility and mobility that together drive increased productivity. The end user is able to document problems and errors with text and images and then easily export both into a Microsoft Excel office document. The Visual Inspect product family offers two exceptional value options:  Visual Inspect: enables intuitive mobile viewing, verification and documentation of complex 3D data  Visual Inspect AR: enables complex 3D data to be overlaid and compared to actual data in real time The integrated iPad camera supports Visual Inspect AR as a more cost-effective alternative to other Augmented Reality (AR) products that require expensive cameras. The Visual Inspect product family can be ready for use via a simple three step process that includes first downloading the iPad application from the Apple Apps store, calibrating the iPad and then activating the application with the calibration file.

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