Multivariable Regression Analysis for Optimised Mass Calculation of MEX 3D Printed Parts

Doicin, Cristian-Vasile and Ulmeanu, Mihaela-Elena and Rennie, Allan and Lupeanu, Elena (2019) Multivariable Regression Analysis for Optimised Mass Calculation of MEX 3D Printed Parts. In: 16th Rapid Design, Prototyping & Manufacturing Conference (RDPM2019) :. UNSPECIFIED, GBR. ISBN 9781527251649

Text (RDPM_Paper_V3)
RDPM_Paper_V3.pdf - Accepted Version
Available under License Creative Commons Attribution-NonCommercial.
Download (649kB)

Abstract

Since its introduction in the early 1990s Material Extrusion (MEX) has become the most popular additive manufacturing technology for a variety of applications. One of the reasons of its popularity amongst users is the affordability of the equipment, materials and the open source software. Given the large variety of combinations optimisation of MEX process parameters can be quite elaborate. The paper provides a method for optimisation of mass calculation using multivariable regression analysis. Layer thickness, printing temperature and printing speed were considered the independent variables for a two level factorial experimental program. DOE was used to plan 12 sets of programs, out of which four were found to have significant models. The four models were validated through measured and calculated responses.