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Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Mass optimisation of 3D-printed specimens using multivariable regression analysis
AU - Doicin, Cristian-Vasile
AU - Ulmeanu, Mihaela-Elena
AU - Rennie, Allan
AU - Lupeanu, Elena
PY - 2021/12/31
Y1 - 2021/12/31
N2 - Fused deposition modelling popularity is attributed to equipment affordability, materials availability and open-source software. Given the variety of optimisation combinations, process parameters can be elaborate. This paper provides methods for optimisation of mass calculation using multivariable regression analysis. Layer thickness, extrusion temperature and speed were considered independent variables for a two-level factorial experiment. DOE was used for 12 sets of programs and analysis (two stages) undertaken using Design-Expert® V11 Software. In stage-1, four models were found to be significant. Stage-2 involved redesigning the remaining eight models, iteratively increasing the number of replicates and blocks. Adequacy of models was analysed, demonstrating that: model is significant, F-value is large, p < 0.05; lack of fit is insignificant; adequate precision >4.00; residuals are well behaved; R^2 is as close as possible to 1.00 or for models with multiple replicates, the adjusted R^2 and predicted R^2 differential <0.2. All models were validated through measured, calculated responses.
AB - Fused deposition modelling popularity is attributed to equipment affordability, materials availability and open-source software. Given the variety of optimisation combinations, process parameters can be elaborate. This paper provides methods for optimisation of mass calculation using multivariable regression analysis. Layer thickness, extrusion temperature and speed were considered independent variables for a two-level factorial experiment. DOE was used for 12 sets of programs and analysis (two stages) undertaken using Design-Expert® V11 Software. In stage-1, four models were found to be significant. Stage-2 involved redesigning the remaining eight models, iteratively increasing the number of replicates and blocks. Adequacy of models was analysed, demonstrating that: model is significant, F-value is large, p < 0.05; lack of fit is insignificant; adequate precision >4.00; residuals are well behaved; R^2 is as close as possible to 1.00 or for models with multiple replicates, the adjusted R^2 and predicted R^2 differential <0.2. All models were validated through measured, calculated responses.
KW - optimised mass calculation
KW - material extrusion
KW - design of experiments
KW - DOE
KW - multivariable regression analysis
KW - MRA
U2 - 10.1504/IJRAPIDM.2021.10043705
DO - 10.1504/IJRAPIDM.2021.10043705
M3 - Journal article
VL - 10
SP - 1
EP - 22
JO - International Journal of Rapid Manufacturing
JF - International Journal of Rapid Manufacturing
SN - 1757-8817
IS - 1
ER -