Abstract-3D printing is rapidly becoming a commodity. However, the quality of the printed parts is not always even nor predictable. Feedback control is demonstrated during the printing of a plastic object using additive manufacturing as a means to improve macroscopic mechanical properties of the object. The printed object is a leaf spring made of several parts of different infill density values, which are the control variables in this problem. In order to achieve a desired objective stiffness, measurements are taken after each part is completed and the infill density is adjusted accordingly in a closed-loop framework. With feedback control, the absolute error of the measured part stiffness is reduced from 11.63% to 1.34% relative to the specified stiffness. This experiment is therefore a proof of concept to show the relevance of using feedback control in additive manufacturing. By considering the printing process and the measurements as stochastic processes, we show how stochastic optimal control and Kalman filtering can be used to improve the quality of objects manufactured with rudimentary printers.
In REF , a leaf spring is manufactured using AM, validating the hypothesis that by introducing a high level feedback control loop during the 3D printing of an object, its mechanical properties can be improved.
3D Printing of a Leaf Spring: A Demonstration of Closed-Loop Control in Additive Manufacturing
2018 IEEE Conference on Control Technology and Applications (CCTA)
2018 IEEE Conference on Control Technology and Applications (CCTA)
Computer Science Mathematics