Fuzzy Logic Approach for Warping Problem In 3D Printing

Year 2020, Volume: 6 Issue: 1, 75 - 77, 31.03.2020

Abdullah Burak Keşkekçi , Ramazan Şenol , Hilmi Cenk Bayrakcı

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.

Keywords

Fuzzy Logic, 3d printing, FDM, ABS warping, Additive Manufacturing

References

• Stansbury, J. W. & Idacavage, M. J. (2016). 3D printing with polymers: Challenges among expanding options and opportunities. Dental Materials, 32(1), 54–64. https://doi.org/10.1016/j.dental.2015.09.018
• Tumbleston, J. R., Shirvanyants, D., Ermoshkin, N., Janusziewicz, R., Johnson, A. R., Kelly, D. DeSimone, J. M. (2015). Continuous liquid interface production of 3D objects. Science, 347(6228), 1349–1352. https://doi.org/10.1126/science.aaa2397
• Weng, Z., Wang, J., Senthil, T., & Wu, L. (2016). Mechanical and thermal properties of ABS/montmorillonite nanocomposites for fused deposition modeling 3D printing. Materials & Design, 102, 276–283. https://doi.org/10.1016/j.matdes.2016.04.045
• Wang, S., Hu, Y., Song, L., Wang, Z., Chen, Z., & Fan, W. (2002). Preparation and thermal properties of ABS/montmorillonite nanocomposite. Polymer Degradation and Stability, 77(3), 423–426. https://doi.org/10.1016/S0141-3910(02)00098-8
• Guerrero-De-Mier, A., Espinosa, M. M., & Domínguez, M. (2015). Bricking: A New Slicing Method to Reduce Warping. Procedia Engineering, 132, 126–131. https://doi.org/10.1016/j.proeng.2015.12.488
• Rictor, A., & Riley, B. (2016) Optimization of a Heated Platform Based on Statistical Annealing of Critical Design Parameters in a 3D Printing Application. Procedia Computer Science, 83(Ant), 712–716. https://doi.org/10.1016/j.procs.2016.04.157
• Mehmet Nuri ÖDÜK. Ph. D. Thesis (2010). Konya –Selçuk University Graduate School of Natural and Applied Sciences SELÇUK ÜNİVERSİTESİ.
• Derrouazin, A., Aillerie, M., Mekkakia-Maaza, N., & Charles, J. P. (2017) Multi input-output fuzzy logic smart controller for a residential hybrid solar-wind-storage energy system. Energy Conversion and Management, 148, 238–250. https://doi.org/10.1016/j.enconman.2017.05.046