An optimisation of 3D printing parameters of nanocomposites based on improved particle swarm optimisation algorithm Online publication date: Fri, 20-Jan-2023
by Jianing Zhang; Yanhong Yang
International Journal of Microstructure and Materials Properties (IJMMP), Vol. 16, No. 4, 2023
Abstract: In order to overcome the problems of low accuracy, long optimisation time and high printing error of traditional 3D printing parameter optimisation methods, a optimisation method of 3D printing parameters of nanocomposites based on improved particle swarm optimisation (PSO) algorithm was proposed. The 3D mechanism model of nanocomposites 3D printer was constructed, the kinematics of the model was solved, and the calculation results of 3D printing parameters were obtained. The fundamental PSO algorithm is improved by introducing potential drop and contraction expansion factor. The objective function of 3D printing parameter optimisation was constructed, and the improved PSO algorithm was used to solve the function to realise 3D printing parameter optimisation. The test results show that the calculation accuracy of 3D printing parameters of nanocomposites is always higher than 92%, the average optimisation time is 0.72 s, and the maximum 3D printing error is 0.2 mm.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Microstructure and Materials Properties (IJMMP):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook