Bosch, SAP team up for Industry 4.0
Peter Gutierrez for IoT Hub: Bosch and SAP will combine their expertise on cloud technologies and software solutions to make inroads into the Internet of Things and Industry 4.0 markets.
Customers will be able to use SAP’s HANA database platform within Bosch’s IoT Cloud, which the companies hope will enable large-scale data processing for IoT applications in real-time.
Bosch’s IoT microservices will also be made available in SAP’s HANA cloud platform, providing multiple device and component connectivity. Cont'd...
A Personal History of Fieldbuses: From Seriplex to EtherCAT
EtherCAT is similar, in some ways, to the old bit-buses like Seriplex. Each device has its time slot to talk, very deterministic, easy and cheap.
Big Picture Processes Impact Efficient Lineside Delivery
The self-driving vehicle (SDV) using an autonomous guidance system breaks free of magnetic strips and pre-programmed routes.
New modular AM 'smart factory' from Concept Laser decouples pre-production and production
Benedict for 3Ders.org: German metal 3D printing specialist Concept Laser has unveiled its new "smart factory" approach to additive manufacturing. The idea behind the Industry 4.0 "smart factory" is to decouple process stages, allowing tasks to be carried out in parallel and physically separate from one another.
The AM Factory of Tomorrow, Concept Lasers modular additive manufacturing factory-building kit, has been designed to allow manufacturers to seamlessly incorporate additive manufacturing technologies into existing production lines or to develop new and efficient AM production spaces. The Lichtenfels-based company has now revealed new aspects of its advanced manufacturing concept, detailing how a move from the sequential to the parallel could maximize production speed, cost-efficiency, and scalability. Cont'd...
Selecting Pneumatic Linear Slides for Automated Assembly Equipment
Rather than sizing up to a slide model with very large diameter guideshafts, you may be able to use a smaller model with the addition of the optional center support.
Industry 4.0 - Interview with Red Lion Controls
While much of the IIoT is focused on end-customer benefits, manufacturers need to recognize that they can also benefit from these emerging technologies and change their businesses if desired.
Comparing Three Different Types of WirelessHART Adapters
Transmitting small amounts of data over long distances is one of the challenges in process plants.
Peugeot Teams Up With 3D Printing Startup for Parts and Possibly Full Cars
Daniel Bentley for Fortune: French carmaker PSA said on Thursday a partnership with a U.S. 3D printing startup would lead to cheaper production of whole vehicle structures as well as parts for its models.
The maker of Peugeot, Citroen and DS cars said it had agreed with Los Angeles-based Divergent 3D to develop metal printing processes for PSA production lines.
Carlos Tavares, PSA’s chief executive, said this could “dramatically scale down the size and scope of our manufacturing footprint” and yield lighter, more profitable vehicles. The carmaker did not quantify any impact on production jobs.
Industries from aerospace to healthcare use 3D printing for the production of metal and plastic components, while elaborate assemblies with moving parts often prove more difficult. Ford is among other carmakers exploring the technology. Cont'd...
Intrusion Detection for the IIot: How Do We Detect Threats on the Factory Floor
Attackers are becoming more sophisticated over time. They are learning about new vulnerabilities and developing automated attack tools to exploit those vulnerabilities.
Industry 4.0: Cloud driving the rise of machines
From BizCommunity: The technologies defining the 'Fourth Industrial Revolution', more commonly referred to as Industry 4.0, are being powered by cloud infrastructures. The Oracle Cloud: Opening up the Road to Industry 4.0 report has found that from robotics to artificial intelligence, businesses view the cloud as a blank canvas upon which to build their innovation strategies.
[Industry 4.0: Cloud driving the rise of machines] The research investigated how companies in EMEA are managing the transition to Industry 4.0 and sheds light on which technologies they are investing in to continue succeeding in the data-driven age.
The majority of businesses are currently implementing, or plan to implement new innovation strategies:
• 62% have or plan to implement robotics technology
• 60% have or plan to work with artificial Intelligence
Most companies also recognise a cloud infrastructure is required to bring these technologies to life – 60% believe an enterprise cloud platform provides the opportunity for organisations to capitalise on innovation such as robotics and artificial intelligence. Cont'd...
Safety solutions for intelligent human-robot collaboration
Fanny Platbrood for SafeToWork: Human-robot collaboration (HRC) describes a work scenario in which humans and automated machines share and work in the same workspace at the same time. Driven by Industry 4.0, this model of collaboration promises highly flexible workflows, maximum system throughput and productivity, as well as economic efficiency. However, ensuring that HRC is actually able to live up to this promise requires exactly the right safety technology for the application in question.
One of the major issues associated with Industry 4.0 is making work processes flexible. At the extreme end of the spectrum, this may involve manufacturing products in batch size 1 under industrial mass-production conditions – that is, manufacturing unique items on a conveyor belt. Cont'd...
Automatic Lubrication Systems That Stand Up to Corrosive, Caustic Environments
The latest in automated lubrication systems ensure optimum equipment performance, even in harsh plant environments, and reduce unscheduled maintenance. Corrosive plant environments are among the most serious threats to many industries today, contributing to extensive production downtime and exorbitant maintenance costs.
IIoT and Industry 4.0 to Create Growth in Telerobotics in Manufacturing
Kagan Pittman for Engineering.com: By now, we’re all be familiar with industrial robotics—but you might not have heard of telerobotics. Telerobotics is all about the control of semi-autonomous robots from a distance, hence the prefix “tele-,” meaning “to or at a distance.”
Telerobotics and teleoperation are playing an increasingly meaningful role in industrial automation and the rapidly evolving industrial Internet of Things (IIoT) arena, according to industry researchers at Mind Commerce Publishing.
It’s also worth noting that there are various other supporting technologies that promise to accelerate the adoption of industrial robotics and improve process controlling and monitoring in IIoT environments. These technologies include hardware, such as sensors, activators and dynamic control interfaces such as exoskeleton gloves, as well as software, such as Big Data analytics and artificial intelligence (AI). Cont'd...
3D printed designs easily stolen by nearby smartphone
Jack Loughran for E&T: 3D printers have been shown to be vulnerable to attack by smartphones that can steal designs by being within close proximity during the printing process.
A study from the University at Buffalo, USA explored security vulnerabilities in 3D printing, also called additive manufacturing, which analysts say will become a multibillion-dollar industry employed to build everything from rocket engines to heart valves.
"Many companies are betting on 3D printing to revolutionise their businesses, but there are still security unknowns associated with these machines that leave intellectual property vulnerable," said assistant professor Wenyao Xu, who worked on the project. Cont'd...
Special News Report for International Manufacturing Technology Show 2016
New product announcements and news from IMTS 2016. Post your company news or read about what others are doing at the show.
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Using AI to Collect & Leverage Data
Data is the foundation of Industry 4.0. While skilled workers will always be essential, data is reshaping the manufacturing landscape, enabling automation of repetitive tasks, empowering smarter decision-making with AI assistance, and reducing defects and downtime. This shift allows small and medium-sized manufacturers (SMMs) to compete more effectively on quality, speed, and cost. While AI and machine learning systems typically require around two years to collect enough data to reach their full potential, manufacturers can start seeing benefits almost immediately with basic analysis tools and dashboards. Our MEP National NetworkTM expert explains how in this Manufacturing Tomorrow article.
