Description of the project
SAMUEL is an ITEA3 project, involving 3 partners from Belgium and 5 partners from Canada.
Additive manufacturing (AM) is becoming more mainstream for prototyping, tooling and production. There is an increased interest across many different industries in 3D printed parts, pushing the expectations towards certified manufacturing with a higher final quality of parts, while the small series manufacturing pushes the expectations towards reduced cost of additive manufacturing. AM processes should be improved more than marginally in order to satisfy these increased expectations. This major improvement step will require the application of new techniques such as artificial intelligence, and more specifically machine learning for 3D printing data that was collected during the past 25+ years.
The major goals of the SAMUEL project are to:
- improve AM processes: improve the quality of the printed parts and/or reduce the cost of manufacturing.
- improve the AM workflow: increase the automation and improve the repeatability of steps in the workflow and extend the knowledge on AM processes, resulting in higher adoption rate of AM by lowering the threshold for users.
- improve machine learning (ML) methods for use in AM (and in the manufacturing industry in general): extend the applicability of ML to a) complex and rich real-world industrial datasets, consisting of heterogeneous data types (e.g. large amounts of sensor data, images, detailed digital representations of 3D objects), and b) the AM-specific processes in an industrial environment.
The major innovation in the SAMUEL project will be a unique set of tools and processes allowing various users such as designers, process engineers, supply chain experts to identify, understand and validate suitable design rules, adequate materials, equipment or manufacturers, process parameters, etc to ensure the satisfaction of the design constraints through in-process validations and at the end of the manufacturing process. The toolset will consist of innovative data mining and machine learning modules which take into account feedback from printed 3D parts, new material definitions, equipment parameters, etc.
The tools, processes, modules and techniques developed within the SAMUEL project will be tested and demonstrated in 4-5 use cases provided by the project partners.
Partners of the project
3DSemantix is a Canadian company created in 2010 with expertise in geometry data mining. It has developed a geometrical search engine, 3DPartFinder, that can support engineers designing parts via 3D models and using a computer-aided design system (CAD) look for similar parts and their 3D models. This search engine finds and displays based on a user’s inquiry, suitable matches and ranks them according to their similarities for further analysis.
CRIQ is a Canadian public research center. Its mission is to make the private and public industry of Quebec more competitive and boost its growth by supporting innovation, productivity and exports. The research center relies on more than 40 years of experience and is active in almost every sector (aerospace, agri-food, composite and plastic materials, energy, ICT, transportation…) in Québec.
Cr3do is a Belgian SME that specializes in generating unique and personalized solutions for its clients (especially SMEs) by using modern & smart manufacturing techniques, such as additive manufacturing (3D modelling, 3D visualizations and 3D printing) and laser cutting. Most of its customers are active in the architectural and residential development sector, for which Cr3do creates high-end 3D models and 3D visualizations.
Fusia Impression 3D metal Inc. is a Canadian SME specialized in additive manufacturing of metallic components. Via FusiA Groupe and its subsidiaries, FusiA gathers more than 50 years of expertise in advanced manufacturing, that allows it to offer services from R&D and design to production according aerospace requirements. Thanks to its expertise in additive manufacturing, FusiA can produce prototypes, pre-serial and serial components of complex geometry, certified for flight. Our international network of clients led us to produce thousands of parts for commercial aircraft engines and over a hundred part for spacecrafts.
FZ engineering Inc. is a Canadian SME, operating in the field of additive manufacturing, most currently known as 3D printing. The company’s offer includes a design service, a 3D printing manufacturing service for common or exotic plastic and metallic parts, as well as a complete cleaning and surface finishing service. The main objective of the company is to offer a turnkey product to its customers; and to become a robust one stop shop for development, design, manufacturing and finishing of a product.
Materialise incorporates 30 years of 3D printing experience into a range of software solutions and 3D printing services, which together form the backbone of the 3D printing industry. Materialise’s open and flexible solutions enable players in a wide variety of industries, including health care, automotive, aerospace, art and design, and consumer goods, to build innovative 3D printing applications that aim to make the world a better and healthier place. Headquartered in Belgium, with branches worldwide, Materialise combines the largest group of software developers in the industry with one of the largest and most complete 3D printing facilities in the world.
Sirris is a Belgian private collective research center with around 2.500 member companies (95 % SMEs). Its mission is to support large and smaller companies in the Belgian technology industry make the right technological choices and implement them, in order to achieve sustainable economic growth. Sirris helps companies to bring new technological innovations to the market.
TEKNA Plasma System is a Canadian SME, active in the advanced materials industry. The company develops, sells and services turnkey plasma solutions and utilizes this knowledge to manufacture and supply industrial grade materials and services.
April 2019 – November 2022
With the support of