Fuzzy Logic Approach for Warping Problem In 3D Printing

Abstract

The most common problem encountered during 3D printing –especially working with ABS material- is the warping problem, starting from the corners which caused by cooling of the printed object and resulting the faulty production of the model. One method to solve this problem is making the production on a heating surface. While the production continues on the heated bed, PID (Proportional Integrated Derivative) control keeps temperature of heated bed steady. one of many methods to fight this problem is covering the entire printer in a closed box and making the environmental temperature steady during the production. Some other methods and researches exist on this problem. Purpose of this paper is to find an alternate solution with fuzzy logic to the problem mentioned before. Current environment and produced part’s temperature used as input, and the temperature of heating bed controlled as output parameters. A PIC 18F45K22 used as control unit, heater connections of a Prusa i3 printer were disabled and connected to the control unit. To read the input values an infrared heat sensor was used. In this way both the temperatures of environment and the printing part were been able to read by the same sensor. The warping amounts of both classic way (PID) and fuzzy logic-controlled prints were compared.