首页|Researcher from Rutgers University - The State University of New Jersey Reports Details of New Studies and Findings in the Area of Machine Learning (Physics-Inf ormed Machine Learning of Argon Gas-Driven Melt Pool Dynamics)
Researcher from Rutgers University - The State University of New Jersey Reports Details of New Studies and Findings in the Area of Machine Learning (Physics-Inf ormed Machine Learning of Argon Gas-Driven Melt Pool Dynamics)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news originating from Rutgers Univer sity - The State University of New Jersey by NewsRx correspondents, research sta ted, “Melt pool dynamics in metal additive manufacturing (AM) is critical to pro cess stability, microstructure formation, and final properties of the printed ma terials.” Funders for this research include Division of Civil, Mechanical And Manufacturin g Innovation. Our news journalists obtained a quote from the research from Rutgers University - The State University of New Jersey: “Physics-based simulation, including compu tational fluid dynamics (CFD), is the dominant approach to predict melt pool dyn amics. However, the physics-based simulation approaches suffer from the inherent issue of very high computational cost. This paper provides a physics-informed m achine learning method by integrating the conventional neural networks with the governing physical laws to predict the melt pool dynamics, such as temperature, velocity, and pressure, without using any training data on velocity and pressure . This approach avoids solving the nonlinear Navier-Stokes equation numerically, which significantly reduces the computational cost (if including the cost of ve locity data generation). The difficult-to-determine parameters’ values of the go verning equations can also be inferred through data-driven discovery.”
Rutgers University - The State Universit y of New JerseyCyborgsEmerging TechnologiesMachine Learning
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