首页|Reports Outline Machine Learning Study Results from Symbiosis Institute of Techn ology (Assessing the Process-property Relationship In Laser Powder Bed Fusion of Alsi10mg Using Kalman Filter-based Machine Learning Algorithms)
Reports Outline Machine Learning Study Results from Symbiosis Institute of Techn ology (Assessing the Process-property Relationship In Laser Powder Bed Fusion of Alsi10mg Using Kalman Filter-based Machine Learning Algorithms)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Machine Learning have be en published.According to news reporting originating in Maharashtra, India, by NewsRx journalists, research stated, “Laser powder bed fusion (LPBF) allows for the fabrication of complicated shapes in metals such as AlSi10Mg.However, durin g processing, complex physics have unpredictable consequences on the final perfo rmance properties.”Financial support for this research came from Symbiosis International (Deemed Un iversity), Pune, India.
MaharashtraIndiaAsiaAlgorithmsCy borgsEmerging TechnologiesMachine LearningSymbiosis Institute of Technolog y
NETL
NSTL
