Aug 2026· SPE Nigeria Annual International Conference and Exhibition· 0 citations· 33 references
TL;DR
This study highlights how AI-driven CAM optimizes toolpaths, improves predictive maintenance, and enhances machining accuracy and structural integrity through a synthesis of recent literature and theoretical analysis.
Abstract
Artificial Intelligence (AI)–enhanced Computer-Aided Manufacturing (CAM) is transforming advanced manufacturing, including aerospace and energy sectors, by enabling precise, efficient, and reliable production of complex components. Through a synthesis of recent literature and theoretical analysis, this study highlights how AI-driven CAM optimizes toolpaths, improves predictive maintenance, and enhances machining accuracy and structural integrity. Key advances from 2020–2025, such as digital twins, adaptive toolpath strategies, hybrid additive-subtractive processes, and smart machining environments, demonstrate reduced errors, faster production cycles, and improved integration between design and manufacturing teams. Challenges remain in data availability, implementation costs, workforce readiness, cybersecurity, and process integration. The paper contributes by providing updated insights into AI-CAM synergy and strategies for practical industrial adoption.
Unlike some major regions in the world, the sub-Saharan African manufacturing sector performs poorly. This is primarily due to the lack of implementation of modern manufacturing techniques and technologies, and the insufficient skills of the workforce. Sub-Saharan African manufacturers must integrate advanced technolog...
Sabinus Odimgbe, Bashir Sambo, Yusuf Oladigbolu et al.· Nile Journal of Engineering...· 0 citations
This review examines recent advances in the integration of Artificial Intelligence with Autonomous Mobile Robots (AMRs) for real-time material flow optimization in EV manufacturing ecosystems to identify key performance improvements in throughput, operational efficiency, and cost reduction attributed to AI-AMR integrat...
Olasubomi Akanbi· International Journal of Eng...· 0 citations
Modern product design leverages computational software and intelligent systems to create high-performance and cost-effective products. In aerospace, materials must be continually made lighter and resistant to ensure structural integrity and safety. Traditional material selection processes rely heavily on expert knowled...
The results show that AI can greatly decrease the time spent on design iterations, increase the accuracy of predictions of process parameters, and allow in-situ defect detection with high accuracy.
The development of AI-enabled advisory systems for casting processes are presented, integrating singular value decomposition (SVD)-based reduced-order models with a Variational Autoencoder with Arbitrary Conditioning (AC-VAE) and hybrid simulation frameworks to support real-time process prediction and optimization.
Sofija Milicic, A. Horr, S. Elgeti et al.· Processes· 0 citations
High-volume production of mechanical components requires manufacturing systems that can consistently achieve high productivity, dimensional accuracy, quality and cost efficiency while minimizing material, energy, time and operational waste. Conventional production systems frequently experience losses arising from machi...
