首页|Studies from University of Stuttgart Add New Findings in the Area of Machine Lea rning (Towards Efficient Powder Quality Control In Additive Manufacturing Via an In Situ Capable Device and Methodology Leveraging Multispectral Machine Learnin g)
Studies from University of Stuttgart Add New Findings in the Area of Machine Lea rning (Towards Efficient Powder Quality Control In Additive Manufacturing Via an In Situ Capable Device and Methodology Leveraging Multispectral Machine Learnin g)
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 Daily News-Current study results on Machine Learn ing have been published. According to news reporting out of Stuttgart, Germany, by NewsRx editors, research stated, "Additive manufacturing (AM) processes enabl es the fabrication of highly complex parts that cannot be manufactured using con ventional manufacturing methods. Constant and specified material properties are of crucial importance for these highly optimized components." Financial support for this research came from German Federal Ministry for Econom ic Affairs and Energy - University of Stuttgart in a technology transfer project fund.
StuttgartGermanyEuropeCyborgsEme rging TechnologiesMachine LearningUniversity of Stuttgart
NETL
NSTL
