TECMADIVA - Digitalised material deposition technologies for automated manufacturing and repair of high added-value parts
Participants:
ARCELORMITTAL (Coordinador)
GRUPO DGH
ZYLK
LEADING METAL MECHANIC SOLUTIONS
MELTIO
PLASTUCC
Programme:
Sectors:
Steel mills and foundries
Automation
Components and capital goods
Digitalisation
Oil&Gas
Technologies:
Data analysis
Control and Robotics
DED-LB
Digital platforms
Scope
The main objective of TECMADIVA is industrial research and design of innovative solutions for metal additive manufacturing through direct deposition processes (DED), focused on the design of new metal alloys, developing multi-material manufacturing processes, advanced robotics and digitalisation. These are applicable not only to the entire process value chain but also to different demonstrators and end use cases in a specific way. The TECMADIVA project is divided into 6 activities, encompassing lines of work ranging from the analysis of specifications and requirements for use cases in different sectors (Steel, Oil & Gas and Moulds and plastic injection); designing new alloys and advanced multi-material manufacturing solutions; cooperation and assistance systems in DED processes based on AI applied to additive manufacturing cells with industrial robots; process digitalisation and data analysis; and demonstration in different end scenarios. This is a multidisciplinary project that has required a highly qualified consortium made up of five companies from different sectors that complement each other and collaborate with leading research centres.
Solution
LORTEK is actively involved in four lines of work:
- Material specification and selection, development of multi-material manufacturing process (SS316L + SAF2507) using the DED-LB (LMD) process, and parametrisation, test plan and characterisation of materials obtained by AM for the LEADING use case.
- Industrial research with the DGH group on direct and indirect sensor systems in the LMD process; assurance of digital traceability; development of HMI interface for flexible LMD cell; AI-based process control system and development of a monitoring module with warning alarm.
- Collaboration with ZYLK to develop and implement hybrid platforms for data acquisition in metal additive manufacturing production chain; communication with industrial devices (PLC4X), development and implementation of machine learning techniques and multivariable real-time correlations for the LMD process; and with research into the data value chain, interoperability, privacy and data security.
- In the industrial demonstration background, optimisation of design for additive manufacturing by DED and parametrisation of multi-material process in real component with LEADING; in the validation of the cooperation and assistance system in robotic cells with DGH; and data and digital computing platform validation with ZYLK and ArcelorMittal.
