Utilizing Artificial Intelligence for Aluminum Alloy Surface Modification Technology: Enhancing Precision and Efficiency in Materials Engineering

Abstract

Surface modification technologies are pivotal in enhancing material performance and extending component life in various engineering applications. Recent advancements in Artificial Intelligence (AI) have provided new methodologies to further improve precision, efficiency, and adaptability in surface modification processes. This research explores the integration of AI in surface modification technologies, specifically focusing on its contributions to improving quality control, predictive capabilities, and process optimization. By leveraging machine learning algorithms, enhanced data analysis, and real-time process adjustments, the integration of AI has the potential to revolutionize material engineering and surface enhancement techniques. This paper aims to evaluate the effectiveness of AI-driven surface modification through various methodologies, discussing their advantages, limitations, and the pathways towards a sustainable materials future.