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

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.