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In order to study the evolution laws of the temperature field, flow field, and macroscopic morphology of the molten pool during laser cladding process, this paper focuses on the changes in the morphology and flow field distribution of the molten pool temperature field caused by corresponding parameter changes during laser cladding process. First, a multi-physics field coupling model for laser cladding was established by combining light powder interaction, phase transition, heat transfer, and fluid dynamics, and the temperature and flow fields of the molten pool were analyzed. Then, the influence of process parameters such as laser power, scanning speed, and powder feeding rate on the temperature and flow field of the molten pool was studied. Finally, the influence of Marangoni convection induced by surface tension temperature coefficient on the macroscopic morphology, internal temperature field, and flow field distribution of the molten pool was investigated. ....
3D Printing Webinar and Event Roundup: October 29, 2023 - 3DPrint.com | The Voice of 3D Printing / Additive Manufacturing 3dprint.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from 3dprint.com Daily Mail and Mail on Sunday newspapers.
The advancements in materials science and engineering, combined with a deeper understanding of atomic structures, have laid the foundation for the emergence of advanced materials. ....
The continuous energy input can lead to heat accumulation in the multi-pass lap laser cladding, which results in a progressive increase in the dilution rate and deteriorates the quality of laser cladding. Precisely controlling the stability of the dilution in the multi-pass laser cladding is still challenging. In this study, we proposed a deep-learning driven method for precisely controlling the dilution rate in the multi-pass laser cladding. Initially, the relationship between the dilution rate and power energy is retracted via the experiment-based finite element simulation. Subsequently, the convolution neural network deep learning is applied to optimize and improve the accuracy of the dilution rates in the cladding layer. The experiment verifies that the high stability of dilution rate in each pass, i.e., average errors of less than 10.88%, is achieved via in-situ adjusting of the power energy using the prediction obtained from the proposed method. We also attempted to provide insig ....
Cladding (Metalworking) Service Market Provided Industry Outlook And Growth 2023-2030 menafn.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from menafn.com Daily Mail and Mail on Sunday newspapers.