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Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
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TY - GEN
T1 - Multivariable Regression Analysis for Optimised Mass Calculation of MEX 3D Printed Parts
AU - Doicin, Cristian-Vasile
AU - Ulmeanu, Mihaela-Elena
AU - Rennie, Allan
AU - Lupeanu, Elena
PY - 2019/4/5
Y1 - 2019/4/5
N2 - 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.
AB - 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.
KW - Optimised Mass Calculation
KW - Regression Analysis
KW - Material Extrusion
KW - Design Of Experiments
M3 - Conference contribution/Paper
SN - 9781527251649
BT - 16th Rapid Design, Prototyping & Manufacturing Conference (RDPM2019)
A2 - Rennie, Allan
A2 - Pei, Eujin
A2 - Hackney, Philip
T2 - 16th Rapid Design, Prototyping & Manufacturing Conference
Y2 - 4 April 2019 through 5 April 2019
ER -