selective laser melting
PulseAugur coverage of selective laser melting — every cluster mentioning selective laser melting across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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Indian startup Othisis test-fires 3D-printed cryogenic rocket engine
Indian startup Othisis has successfully test-fired a 3D-printed, fully cryogenic rocket engine. The engine utilizes liquid oxygen (LOX) and methane as propellants, offering a stronger burn and reduced residue compared t…
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Neuro-symbolic control architecture enhances laser powder bed fusion quality
Researchers have developed a novel neuro-symbolic closed-loop control architecture for laser powder bed fusion (LPBF) additive manufacturing. This system integrates symbolic reasoning with statistical learning, using an…
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AI and Quantum Computing Enhance Additive Manufacturing Monitoring
Two new research papers explore the application of AI and quantum computing in additive manufacturing. The first paper details a hybrid approach using machine learning, specifically a combination of EfficientNetB0 and R…
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New AI method optimizes additive manufacturing with attention-based RL
Researchers have developed a novel approach to optimize additive manufacturing processes by integrating a multi-head attention mechanism with the Soft Actor-Critic (SAC) algorithm. This method addresses limitations in t…
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FEA-PINN accelerates melt pool simulation with comparable accuracy
Researchers have developed a novel framework called FEA-Regulated Physics-Informed Neural Network (FEA-PINN) to accelerate simulations of melt pool dynamics in Laser Powder Bed Fusion (LPBF). This new approach integrate…
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LLM system aids explainable defect analysis in laser powder bed fusion
Researchers have developed a new decision-support system that combines structured knowledge about defects with large language models (LLMs) to analyze and guide mitigation strategies in laser powder bed fusion (LPBF) ma…
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New graph-augmented segmentation enhances in situ inspection for 3D printing
Researchers have developed a novel graph-augmented segmentation method to improve in situ inspection of complex shapes in Laser Powder Bed Fusion (L-PBF) additive manufacturing. This approach utilizes a Graph Neural Net…