IOT & SMART MANUFACTURING
FEATURE
sensors with unique properties that enhance sensitivity, accuracy and functionality, ultimately moving the needle in a number of important research areas, which then translate into meaningful, real-world differences. “As part of the QSens initiative, we also
collaborate with the University Hospital in Tübingen, where the additively manufactured quantum devices that our team has developed here, in-house, will actually be used live on patients,” explains Professor Anders. By integrating AME into quantum sensor
properties. This flexibility not only enhances the performance of MRI systems but also reduces development time and costs, making advanced MRI technology more accessible to research institutions. Similarly, neural sensors are another
application area where AME is already changing the game for researchers at the university – and undoubtedly for the wider market in the future. Where wider market access has traditionally been restricted by the large device size and cost, heterogeneous integration with AME presents a very promising avenue to improve sensor size, scalability, and costs. This is paving the way towards the implementation of quantum sensors in entirely new avenues, with researchers at QSens already exploring possibilities around neural-controlled prosthetics and other dynamic and rapidly-evolving application areas. “My work is related to flexible sensors, including pressure sensors and strain sensors, which are central to research with robotics on prosthetic limbs,” explains Jasmin Atta, part of the Academic team at the Institute of Smart Sensors, University of Stuttgart. “Historically,
flexible sensors have been extremely difficult to produce. Now, with the help of these 3D printers, we are able to achieve any kind of pattern, any kind of design.” This level of flexibility is proving pivotal in
the team’s research efforts, with the capabilities of the Dragonfly IV also providing a host of process efficiencies and performance benefits that are helping to drive a seamless transition to the adoption of AME.
EMPOWERING RESEARCH For universities and research labs, the ability to produce sophisticated electronic components in-house represents a significant shift. This accessibility empowers researchers to innovate rapidly, iterate designs, and conduct experiments without the constraints imposed by traditional manufacturing methods. The versatility of AME also allows researchers
to experiment with novel designs and materials, tailored to specific research needs, that would be difficult or impossible to achieve with conventional methods. For quantum sensor development, this means the ability to design
ADVANCED EDGE GATEWAY SOLUTION PROCESSES INFORMATION AT THE MACHINE
Smart machines today are generating more data than ever, but according to Rockwell’s latest State of Smart Manufacturing Report, only 44% of data is being used effectively. Not only do many companies face challenges that prevent them from utilising a vast amount of their data, but it is traditionally sent to distant cloud servers to be processed, which can be expensive and inefficient. To help, the company has launched OptixEdge, an Edge
gateway solution that can process information where it’s created – at the machine, in real time. This connects to the user’s control system through Rockwell’s
FactoryTalk Optix software to collect, analyse and send data to the cloud, enabling users to monitor and analyse machine or system data from multiple locations. “OptixEdge empowers customers to take control of their
data like never before, providing powerful Edge computing capabilities with flexibility, security, and ease of use,”
commented Jessica Morell, software product manager at Rockwell Automation. “By processing data at its source, OptixEdge enables customers to unlock valuable insights, improve efficiency, and drive innovation across their operations.”
Rockwell Automation
www.rockwellautomation.com/
en-gb.html
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research, the University of Stuttgart and QSens have set the stage for a paradigm shift in sensor development. The adoption of additive manufacturing has not only made advanced quantum sensors more accessible but has also empowered smaller research institutions to compete on the global stage. The success of this collaboration positions Germany as a leader in quantum sensor technology and fosters a regional ecosystem for the development and industrial production of quantum devices. According to Anders, working at the very
forefront of innovation with industry-leading AM technology has given the University of Stuttgart and QSens an important edge.“Because scalable quantum sensors require the most cutting-edge, novel technologies and devices, the current market is still developing and fairly small. However, this also means that, at the moment, our work and our technologies are garnering interest from literally all of the companies in our network,” he says. As AME continues to evolve, the technology will undoubtedly play an increasingly crucial role in democratising quantum research, enabling researchers to innovate faster, reduce costs, and bring advanced quantum sensor technology to market more efficiently, with a promising real-world impact.
Nano Dimension
www.nano-di.com
PARTNERSHIP DELIVERS IOT-DRIVEN INSIGHTS FOR PLM
Aras, a leader in product lifecycle management (PLM) and digital thread solutions, and BellaDati PTE, a provider of IoT and analytics platforms, have announced a partnership that brings real-time IoT and analytics into the digital thread, allowing manufacturers to connect design, production and maintenance through continuous, real-time visibility across the product lifecycle. This unified approach strengthens traceability, supports higher product quality, and enables more informed, responsive decision-making across teams. “Partnering with BellaDati enhances the power of the
Aras platform by bringing real-time IoT and analytics into the digital thread,” said Roque Martin, CEO of Aras. “This collaboration enables our customers to deepen visibility across the product lifecycle, elevate service operations, and accelerate data-driven decision-making – all within a unified PLM environment.”
BellaDati PTE Aras
https://corp.belladati.com
www.aras.com
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