3D Print Parameter Optimization: A Literature Review


  • Tri Wibawa Universitas Pembangunan Nasional Veteran Yogyakarta
  • Hasan Mastrisiswadi Universitas Pembangunan Nasional Veteran Yogyakarta
  • Ismianti Ismianti Universitas Pembangunan Nasional Veteran Yogyakarta




3D Print, FDM, Parameter, Optimization


3D printing technology is developing very fast. One of the technologies that are often encountered is Fused Deposition Modeling (FDM). FDM technology has many advantages, such as easy maintenance, not easily damaged, easy to operate, relatively safer, and relatively cheaper. Much researches on the optimization of the FDM process have been carried out. There is a need to map research results regarding process optimization and the results of FDM technology so that it can provide research opportunities for other researchers to develop this technology. For this reason, this study aims to map the results of research that has been carried out regarding the optimization of the 3D printing process, especially FDM technology. This study uses a qualitative method, namely, a literature review. According to technology and year of publication, some literature is selected to provide relevant and up-to-date results. Based on the literature review that has been done, some process parameters are used along with the desired response variables.


Camposeco-Negrete, C. (2020) 'Optimization of FDM parameters for improving part quality, productivity, and sustainability of the process using Taguchi methodology and desirability approach,' Progress in Additive Manufacturing. DOI: 10.1007/s40964-020-00115-9.

Chohan, J. S., and Singh, R. (2017) 'Pre and post-processing techniques to improve surface characteristics of FDM parts: A state of the art review and future applications,' Rapid Prototyping Journal. DOI: 10.1108/RPJ-05-2015-0059.

Dey, A., Hoffman, D., and Yodo, N. (2020) 'Optimizing multiple process parameters in fused deposition modeling with particle swarm optimization,' International Journal on Interactive Design and Manufacturing. DOI: 10.1007/s12008-019-00637-9.

Nancharaiah, T. et al. (2010) 'An experimental investigation on surface quality and dimensional accuracy of FDM components,' International Journal on Emerging Technologies.

Petrovic, V. et al. (2011) 'Additive layered manufacturing: Sectors of industrial application shown through case studies,' International Journal of Production Research. DOI: 10.1080/00207540903479786.

Radhwan, H. et al. (2019) ‘Optimization parameter effects on the quality surface finish of the three-dimensional printing (3D-printing) fused deposition modeling (FDM) using RSM’, in AIP Conference Proceedings. DOI: 10.1063/1.5118163.

Rinanto, A. et al. (2018) 'Simultaneous Optimization of tensile strength, Energy Consumption and Processing Time on FDM Process Using Taguchi and PCR-TOPSIS,' in Proceedings - 2018 4th International Conference on Science and Technology, ICST 2018. DOI: 10.1109/ICSTC.2018.8528667.

Saad, M. S. et al. (2019) ‘Optimization of surface roughness in FDM 3D printer using response surface methodology, particle swarm optimization, and symbiotic organism search algorithms’, International Journal of Advanced Manufacturing Technology. DOI: 10.1007/s00170-019-04568-3.

Sharma, M., Sharma, V. and Kala, P. (2019) 'Optimization of process variables to improve the mechanical properties of FDM structures,' in Journal of Physics: Conference Series. Doi: 10.1088/1742-6596/1240/1/012061.

Wankhede, V. et al. (2019) 'Experimental investigation of FDM process parameters using Taguchi analysis,' in Materials Today: Proceedings. DOI: 10.1016/j.matpr.2019.09.078.

Yadav, D. et al. (2020) ‘Optimization of FDM 3D printing process parameters for multi-material using artificial neural network’, in Materials Today: Proceedings. DOI: 10.1016/j.matpr.2019.11.225.

Yang, L. et al. (2019) ‘Experimental Investigations for Optimizing the Extrusion Parameters on FDM PLA Printed Parts’, Journal of Materials Engineering and Performance. DOI: 10.1007/s11665-018-3784-x.

Zaman, U. K. uz et al. (2019) 'Impact of fused deposition modeling (FDM) process parameters on the strength of built parts using Taguchi's design of experiments,' International Journal of Advanced Manufacturing Technology. DOI: 10.1007/s00170-018-3014-6.