Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
Artificial Intelligence and the Future of Surface Engineering: From Process Optimization to Intelligent Materials Design. |
| Συγγραφείς: |
Gopal, Lakshmi1 (AUTHOR), Sudarshan, Tirumalai1 (AUTHOR) sudarshan@matmod.com |
| Πηγή: |
Surface Engineering. Jun2026, Vol. 42 Issue 6, p597-604. 8p. |
| Θεματικοί όροι: |
*Artificial intelligence, *Surfaces (Technology), *Deep learning, *Process optimization, *Digital twin, *Reinforcement learning, *Machine learning, *Computer vision |
| Περίληψη: |
The article focuses on the transformative impact of artificial intelligence (AI) on surface engineering, highlighting its shift from empirical methods to data-driven, predictive, and autonomous approaches for designing and controlling surface processes. It details the widespread adoption of AI techniques such as machine learning (ML), deep learning, computer vision, and reinforcement learning across applications including process optimization, quality assurance, surface design, and formulation development. The integration of AI with advanced robotics and regulatory monitoring is also discussed, alongside challenges like data limitations, organizational resistance, and the need for human oversight. Looking ahead, the article emphasizes the potential of emerging AI-driven technologies—such as digital twins and autonomous experimentation—to create interconnected, adaptive surface engineering systems that enhance innovation and sustainability. [Extracted from the article] |
| Βάση Δεδομένων: |
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