The DILAPRO project aligns with the EU's vision for a digital, circular, climate-neutral, and sustainable economy. Addressing key challenges in manufacturing, it aims to drive decarbonization and the Green and Digital Transitions through two innovative software tools. DILAFACT focuses on sustainable laser process planning, enabling manufacturers to integrate sustainability into production, reducing raw material consumption and waste production.

DILACERT addresses certification and standardization hurdles in laser and additive manufacturing, streamlining data processing and paving the way for remote, automated digital certification. Developed on specific materials and laser technologies, these tools aim for long-term impact, fostering community contributions and ensuring sustainability in European high-precision manufacturing. DILAPRO offers durable, scalable solutions with detailed plans for IP management and post-project exploitation, contributing to the transformation of the manufacturing industry for the long term.

DILAPRO aims to enhance fusion algorithms, computing efficiency, and big data processing for laser-based manufacturing. It prioritizes cybersecurity and physical security through standardized protocols. Employing Digital Twin (DT) technology, it integrates knowledge from various industries using artificial neural networks, optimization, and technological components. Advanced automation, Big Data processing, and Machine Learning (ML) are utilized for data collection from sensors, calibrated by physical simulation.

DILAPRO develops a modular knowledge repository model, shared across industries, integrated into DILAFACT software. Sensor usage focuses on in-process part certification, especially for additive manufacturing, addressing challenges like integration, algorithms, and software. The project proposes a common methodology for physical simulation, covering the entire additive manufacturing cycle and laser surface treatment. DILAPRO addresses digital certification preparation, machine learning on parts and machines, aiming to contribute to future standards and policies in collaboration with industry and international groups. The project's innovative approach targets quality control challenges in laser processes, emphasizing consistency, reproducibility, and efficiency in laser-based manufacturing.