DAOUD, Mohamed Amine (Department of mechanical engineering, Faculty of Sciences and Te), Bekkay Haouari, Khadija (Department of mechanical engineering, Faculty of Sciences and Te), Hayani Mechkouri, Meriem (FST de Tanger), Ennawaoui, Amine (Mohammed VI Polytechnic University, Benguerir, Morocco), REKLAOUI, Kamal (National School of Applied Sciences of Tetouan)

Enhancing Additive Manufacturing: Integrating Model-Based Systems Engineering for Advanced Design and Production

Scheduled for presentation during the Regular Session "Intelligent systems" (WeBD), Wednesday, June 11, 2025, 14:00−14:20, Room C

33rd Mediterranean Conference on Control and Automation, June 10-13, 2025, Tangier, Morocco

This information is tentative and subject to change. Compiled on May 9, 2025

Abstract

Additive Manufacturing (AM) is revolutionizing production by enabling complex designs with minimal waste and reduced production times. This paper introduces a Model-Based Systems Engineering (MBSE) approach to enhance AM processes through the Advisor System for Additive Manufacturing (ASAM). Utilizing the CESAM architecture and SysML, ASAM creates integrated multi-architecture models to improve design validation, flaw detection, and process optimization. The framework aims to include real-time optimization and predictive analytics in future versions. Initial results from aerospace, healthcare, and education demonstrate ASAM's effectiveness in standardizing AM workflows, suggesting significant potential for increasing efficiency and scalability. This version keeps the focus on the key innovations and intended future developments of your research while preserving the academic integrity and reference structure.