Combining digital twin and machine learning for the fused filament fabrication process

HIGHLIGHTS

• who: Javaid Butt and Vahaj Mohaghegh from the Faculty of Science and Engineering, Anglia Ruskin University, Chelmsford , SQ, UK have published the research: Combining Digital Twin and Machine Learning for the Fused Filament Fabrication Process, in the Journal: Metals 2022, 12, x FOR PEER REVIEW of /2022/
• what: FFF is a commonly used AM method and requires optimisation of its process parameters to achieve the desired results.
• how: In this work the feasibility of applying a combined with machine learning algorithms (convolutional neural network and random forest classifier) to predict the performance of . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.