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An analysis of key process parameters for hybrid manufacturing by material extrusion and CNC machining
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Rubén Paz, Javier Santamarta, Mario D. Monzón, Joshua García, Eujin Pei. An analysis of key process parameters for hybrid manufacturing by material extrusion and CNC machining[J]. Journal of Zhejiang University Science D, 2018, 1(4): 237-244.
@article{title="An analysis of key process parameters for hybrid manufacturing by material extrusion and CNC machining",
author="Rubén Paz, Javier Santamarta, Mario D. Monzón, Joshua García, Eujin Pei",
journal="Journal of Zhejiang University Science D",
volume="1",
number="4",
pages="237-244",
year="2018",
publisher="Zhejiang University Press & Springer",
doi="10.1007/s42242-018-0023-0"
}
%0 Journal Article
%T An analysis of key process parameters for hybrid manufacturing by material extrusion and CNC machining
%A Rubén Paz
%A Javier Santamarta
%A Mario D. Monzón
%A Joshua García
%A Eujin Pei
%J Journal of Zhejiang University SCIENCE D
%V 1
%N 4
%P 237-244
%@ 1869-1951
%D 2018
%I Zhejiang University Press & Springer
%DOI 10.1007/s42242-018-0023-0
TY - JOUR
T1 - An analysis of key process parameters for hybrid manufacturing by material extrusion and CNC machining
A1 - Rubén Paz
A1 - Javier Santamarta
A1 - Mario D. Monzón
A1 - Joshua García
A1 - Eujin Pei
J0 - Journal of Zhejiang University Science D
VL - 1
IS - 4
SP - 237
EP - 244
%@ 1869-1951
Y1 - 2018
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1007/s42242-018-0023-0
Abstract: HybridManufacturingcombinestheadvantagesofAdditiveManufacturing(AM)andSubtractiveManufacturingonasingle machine. Although previous research has provided a good background of the manufacturing parameters, the analysis is often carriedoutseparatelyandthereisalackofcombinedknowledge.Thepurposeofthisresearchistoexaminetheinfluenceofthe main manufacturing parameters involved in AM and subtractive processes using different variables. Particularly, the study is focusedontheMaterialExtrusionprocessconcerningthelayerheight,fillangleandfilldensity;aswellastwofactorsrelated to machining, including stepover and pass direction. The parameters that were examined include the dimension, hardness, flatness, weight and roughness. A multifactorial Design of Experiments was proposed with a total of 64 samples. Next, a statistical analysis was carried out to assess the influence of the different groups on the response variables. Finally, a decision table presented and facilitated the selection of parameters depending on the desired objectives, leading to a framework that wasappliedtoacasestudyforvalidation.Thisdecisionguidecouldenabledesignersandengineerstoselectthebeststrategy for a specific application, leading to a more efficient approach for manufacturing.
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