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Optimization with artificial intelligence in additive manufacturing: a ...
...Through a detailed discussion, it emerges that AI might increase the efficiency of the procedures associated with AM, from simulation optimization to in-process monitoring....
https://www.researchgate.net/publication/370750297_Optimization_with_artificial_intelligence_in_additive_manufacturing_a_systematic_review/fulltext/645fecdb434e26474fe4b308/Optimization-with-artificial-intelligence-in-additive-manufacturing-a-systematic-review.pdf
Smart additive manufacturing: Current artificial intelligence-enabled ...
...Additive manufacturing (AM) has been increasingly used in production. Because of its rapid growth, the efficiency and robustness of AM-based product development processes should be improved. Artificial intelligence (AI) is a powerful tool that has outperformed humans in numerous complex tasks. AI-enabled intelligent agents can reduce the workforce required to scale up AM production and achieve ......
https://link.springer.com/article/10.1007/s11431-020-1581-2
Artificial Intelligence for Control in Laser-Based Additive ...
...Laser-based additive manufacturing (LAM) offers the ability to produce near-net-shape metal parts with unparalleled energy efficiency and flexibility in both geometry and material selection. Despite advantages, these processes are inherently, as they are characterized by multiphysics interactions, multiscale phenomena, and highly dynamic behaviors, making their modeling and optimization ......
https://ieeexplore.ieee.org/document/10869457
QLAMMP: A Q-Learning Agent for Optimizing Fees on Automated Market ...
...We propose an RL framework to optimize the fees collected on an AMM protocol. In particular, we develop a Q-Learning Agent for Market Making Protocols (QLAMMP) that learns the optimal fee rates and leverage coefficients for a given AMM protocol and maximizes the expected fee collected under a range of different market conditions....
https://arxiv.org/pdf/2211.14977
Design Optimization Method Based on Artificial Intelligence (Hybrid ...
...It also focuses on the methods of design optimization of this restoration process by adopting the AI technique, including using the hybrid method. It also explores and identifies all the means and possibilities that lead to maximum benefits of design optimization-based AI in AM applications by analyzing previous research in this field....
https://www.mdpi.com/2075-4701/13/3/490
Artificial Intelligence-Augmented Additive Manufacturing: Insights on ...
...This review investigates closed-loop artificial intelligence-augmented additive manufacturing (AI2AM) technology that integrates AI-based monitoring, automation, and optimization of printing parameters and processes. AI2AM uses AI to improve defect detection and prevention, improving additive manufacturing quality and efficiency....
https://advanced.onlinelibrary.wiley.com/doi/10.1002/aisy.202400102
Calculus and Artificial Intelligence | by Rupika Nimbalkar - Medium
...Calculus and Artificial Intelligence Understanding calculus and working with Machine learning and AI. Calculus is a branch of mathematics that analyzes every small little thing and that?s why it ?...
https://medium.com/appengine-ai/calculus-and-artificial-intelligence-25dfee6502f8
Exploration of Machine Learning Techniques in AI-Driven Automation ...
...This article explores the application of machine learning algorithms in automating process optimization. The study covers three main types of algorithms: supervised learning, unsupervised learning, and reinforcement learning. Supervised learning algorithms, such as decision trees, random forests, and SVMs, excel in predictive maintenance and quality control. Unsupervised learning algorithms ......
https://ieeexplore.ieee.org/document/10827935
AI and AM: A Powerful Synergy - Design and Development Today
...An opportunity to transform designs for additive manufacturing This AM-nozzle-optimization example exemplifies the potential synergy between AI design optimization and 3D printing in a number of ways. No advanced-technology development can happen these days without computer simulation playing a role....
https://www.designdevelopmenttoday.com/industries/manufacturing/article/22870953/ai-and-am-a-powerful-synergy
Machine Learning in Additive Manufacturing: A Review - JOM
...In this review article, the latest applications of machine learning (ML) in the additive manufacturing (AM) field are reviewed. These applications, such as parameter optimization and anomaly detection, are classified into different types of ML tasks, including regression, classification, and clustering. The performance of various ML algorithms in these types of AM tasks are compared and ......
https://link.springer.com/article/10.1007/s11837-020-04155-y
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