📋 Tender Overview
Lasers For Accelerated Net-Zero Transition
Laser Material Processing Training For Net-Zero Transitionelectric Vehicle Manufacturing Contributes To Approximately 30 % Of Vehicle Emissions Due To Inefficient Material Use, Low Process Efficiency, Product Defects, And Waste. Laser Material Processing Holds The Potential To Address These Issues. Advances In Laser Technology And New Scanning Optics Can Facilitate Efficient Use Of Materials, Enhance Process Efficiency, And Elevate Product Quality, Ultimately Leading To A Reduction In Co2 Emissions. The Msca-Funded Lasers4Netzero Project Aims To Address These Challenges By Training Phd Candidates With A Focus On Laser Material Processing, Ai For Quality Control, And Advanced Process Simulation. The Programme Will Integrate Scientific And Transferable Training Activities To Minimise Waste And Defects, While Simultaneously Enhancing Process Efficiency And Product Quality. With The Collaboration Of Academic And Industrial Partners, Lasers4Netzero Ensures That The Final Solutions Developed Are Market Ready.
Funded Under
Marie Sklodowska-Curie Actions (Msca)
Total Cost
€ 0,00
Eu Contribution
€ 2 595 232,80
Coordinated By
Alma Mater Studiorum - Universita Di Bologna
Italy
Start Date
1 January 2024
End Date
31 December 2027
Objective
Approximate 30% of the emissions of e-vehicles comes from the manufacturing processes, due to un-optimised material utilisation, low process efficiency, product defects and waste.
Current state-of-the-art identifies laser material processing technologies the heart of e-vehicles manufacturing. Advances in laser technologies and new generation scanning optics in fuel cell and battery manufacturing have the potential to offer enhanced utilisation of materials, improved process efficiency and product quality, allowing significant reduction in CO2 equivalent. Lasers4NetZero will establish an innovative training programme that aims at coaching a new generation of creative, entrepreneurial and innovative doctoral candidates (PhDs) focused on laser material processing, artificial intelligence for quality control, advanced process simulation and predictive lifecycle and sustainability analysis for e-vehicles manufacturing. This novel programme will contain both scientific and transferable training activities and will benefit from training across the network (e.g. secondments). In total, 10 PhDs will be enrolled, developing individual research projects within the project. Individual PhD projects will integrate novel methods and approaches for laser material processing (cutting and welding) aided by laser beam shaping and ultra-fast scanning technologies with the ultimate goal to enhance utilisation of materials, improve process efficiency and product quality and reduce defects and waste.
The consortium involves 6 Academic partners and 8 Industrial partners guaranteeing that final solutions will be close to the market. The close cooperation among multidisciplinary partne
