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Found 3 papers, 1 papers with code
Wheel Impact Test by Deep Learning: Prediction of Location and Magnitude of Maximum Stress
The proposed model can replace the impact test in the early wheel-development stage by predicting the impact performance in real-time and can be used without domain knowledge.
Explainable Artificial Intelligence for Manufacturing Cost Estimation and Machining Feature Visualization
Using the proposed process, we can provide a design guidance to engineering designers in reducing manufacturing costs during the conceptual design phase.
Generative Design by Reinforcement Learning: Enhancing the Diversity of Topology Optimization Designs
To reduce the heavy computational burden of the wheel topology optimization process required by our RL formulation, we approximate the optimization process with neural networks.
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