For Additive Manufacturing to mature as an industrial production process, believe Tommaso Tamarozzi (Oqton) and Juan Carlos Flores (Baker Hughes), it needs to be faster, simpler, and more reliable. This article reports on a step toward this goal through the development of an end-to-end AM workflow for the serial production of a Variable Resistance Trim (VRT) component. Built on a fully digital framework, it includes simulation, real-time process monitoring, anomaly analysis, and data preparation automation, thus laying the foundation for an AM workflow that delivers consistent quality and the documentation necessary for certification.
... Read more »
The frenzy of media attention surrounding Artificial Intelligence (AI) dwarfs the past hype surrounding Additive Manufacturing (AM). Whether you look to the future with fear or excitement, there is no escaping the wave of change that is coming. Whilst we once again hear words like ‘revolution’ being used – to which so many have become immune – Dr Omar Fergani believes that we are now at a crucial point of convergence for AM and AI. Here, he explains why AM is in an especially strong position to leverage the potential of AI, with the power to transform many areas of our industry, from part design to machine operation, quality management and beyond.
... Read more »
In the digital world of Additive Manufacturing, just how cybersecure are your operations and your customers’ critical parts? A survey of AM producers has suggested that the answer is probably not secure enough. In this article, Auburn University’s Prof Mark Yampolskiy, and industry analyst Joseph Kowen, present a high-altitude overview of the security threats facing those in the AM community. Cybersecurity, they suggest, should be considered as no less important than metallurgy or ‘Design for AM’ and, with the development of AM-specific standards and third-party security solutions, it need not be an overwhelming task.
... Read more »
While metal Additive Manufacturing is revolutionising industries from aerospace to healthcare, the need for efficient process development and the acquisition of validated material data is becoming increasingly important. In this context, a groundbreaking solution emerges – that of the platform-based exploitation of metal AM data assets to accelerate industrialisation and unlock new revenue streams. Here, Rosswag GmbH’s Philipp Schwarz and Gregor Graf delve into the significance of this concept and how it fits as a crucial piece in the AM industrialisation puzzle.
... Read more »
France’s ADAXIS is tackling two of the most complex advanced industrial manufacturing disciplines head on — Robotics and Additive Manufacturing. Its solution aims to make robotic Additive Manufacturing more accessible to any company that wants it, including for metal processes, irrespective of background or industry sector. Rachel Park spoke with Henri Bernard and Emil Johansson, two of ADAXIS’ co-founders, as well as project partners, to discover their story and ambitions.
... Read more »
The growth of metal Additive Manufacturing has been held back, believes Oqton’s Dr Ben Schrauwen, by a specific set of challenges: repeatability, cost, and the need for a high level of expertise. This article considers how next-generation software solutions that leverage Artificial Intelligence, cloud computing, and hybrid modelling are improving metal AM workflows. By addressing all three challenges, Schrauwen believes that metal AM can achieve faster and deeper adoption, leading to a more efficient and innovative future.
... Read more »
Thanks to a new generation of compact metal Additive Manufacturing machines optimised for dental laboratories, combined with software improvements and optimised workflows, AM technology is now being more widely implemented in medium- to large-sized dental laboratories. In this article, Stijn Hanssen, Director, Dental Applications & Business Development, 3D Systems, reports on the application of metal AM technology for digital dentistry, reducing labour costs, maximising productivity and providing faster outcomes for patients.
... Read more »
In the race to optimise AM technologies for the creation of both breakthrough designs and direct part replacements, it is more necessary than ever that companies have access to the deep insights and data needed to advance part designs and processing at every phase of product development. Thanks to its ability to provide these insights non-destructively and in great detail, CT analysis provides an invaluable tool for the advancement of AM processes and their adoption. Philip Sperling, Product Manager AM at Volume Graphics, explains how CT analysis can advance the development and adoption of metal Binder Jetting (BJT).
... Read more »
Is it possible to actively monitor the huge volumes of data from a Laser Beam Powder Bed Fusion (PBF-LB) machine to identify, through machine learning (ML), build errors as they happen? To answer this question, Renishaw and Altair played a unique game of hide and seek. In this innovative experiment, an error was deliberately hidden in a build for an artificial intelligence (AI)-based solution to find. The hope? True ‘on the fly’ quality assurance for Additive Manufacturing processes for accelerated product development, and dramatically reduced post-production quality checks. [First published in Metal AM Vol. 8 No. 1, Spring 2022]
... Read more »
A technical session at the Euro PM2021 Virtual Congress, organised by the European Powder Metallurgy Association (EPMA) and held October 18–22, 2021, was devoted to the consideration of process developments and numerical simulation approaches for Powder Bed Fusion (PBF) Additive Manufacturing technologies. In this report, Dr David Whittaker reviews four of the papers presented on this topic, looking at process parameter optimisation, increasing quality for Ti6Al4V medical parts, techniques to improve the AM of hot-work tool steels, and powder spreading improvements for stainless steel. [First published in Metal AM Vol. 7 No. 4, Winter 2021]
... Read more »
They each have similar two-letter acronyms, and, for both technologies, it can be hard to separate hype from reality. But Artificial Intelligence (AI) and Additive Manufacturing also overlap in interesting and beneficial ways. In this article, Stephen Warde of Intellegens considers how AI methods such as Machine Learning (ML) could help AM to deliver against expectations – and at the very least, to meet more realistic and commercially essential objectives, such as consistently delivering lighter, stronger components and supporting on-demand manufacturing. [First published in Metal AM Vol. 7 No. 4, Winter 2021]
... Read more »
In the early days of metal Additive Manufacturing process development, automation was off the radar of machine manufacturers. Technologies created for rapid prototyping simply had no need for it and, until the last decade, few truly anticipated the pace at which Laser Beam Powder Bed Fusion and Binder Jetting have evolved in the race towards the series production of metal parts. In this article, Joseph Kowen reports on how the industry has addressed the challenges of automation so far, and what developments we can expect in the near future. [First published in Metal AM Vol. 6 No. 4, Winter 2020]
... Read more »
Join 40,000+ other AM professionals – follow us online