Generating toolpaths plays a key role in additive manufacturing processes. In the case of 3-Dimensional (3D) printing, these toolpaths are the paths the printhead will follow to fabricate a part in a layer-by-layer fashion. Most toolpath generators use nearest neighbor (NN), branch-and-bound, or linear programming algorithms to produce valid toolpaths. These algorithms often produce sub-optimal results or cannot handle large sets of traveling points. In this paper, the researchers at Oak Ridge National Laboratory’s (ORNL) Manufacturing Demonstration Facility (MDF) propose using a machine learning (ML) approach called reinforcement learning (RL) to produce toolpaths for a print. RL is the process of two agents, the actor and the critic, learning how to maximize a score based upon the actions of the actor in a defined state space. In the context of 3D printing, the actor will learn how to find the optimal toolpath that reduces printhead lifts and global print time. ; Mechanical Engineering


    Access

    Download


    Export, share and cite



    Title :

    Reinforcement Learning for Generating Toolpaths in Additive Manufacturing


    Contributors:

    Publication date :

    2018-01-01



    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629



    Influence of milling toolpaths in machining of the turbine blade

    Jarolmasjed, Seyedamin / Davoodi, Behnam / Pourebrahim Alamdari, Babak | Emerald Group Publishing | 2019


    Modeling and Analysis of NC Toolpaths via Physics-Based Methods

    Eto, H. / Ohnishi, Y. / Miyaguchi, T. et al. | British Library Conference Proceedings | 2011


    PILLAR REINFORCEMENT USING ADDITIVE MANUFACTURING

    FREEMAN MICHAEL J | European Patent Office | 2022

    Free access

    VEHICLE PILLAR REINFORCEMENT USING ADDITIVE MANUFACTURING

    FREEMAN MIKE JAMES | European Patent Office | 2022

    Free access

    VEHICLE PILLAR REINFORCEMENT USING ADDITIVE MANUFACTURING

    FREEMAN MIKE JAMES | European Patent Office | 2023

    Free access