CLC number:
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2019-03-14
Cited: 0
Clicked: 2410
Rubn Paz, Javier Santamarta, Mario D. Monzn, Joshua Garca, 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="Rubn Paz, Javier Santamarta, Mario D. Monzn, Joshua Garca, 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 Rubn Paz
%A Javier Santamarta
%A Mario D. Monzn
%A Joshua Garca
%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 - Rubn Paz
A1 - Javier Santamarta
A1 - Mario D. Monzn
A1 - Joshua Garca
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.Thepurposeofthisresearchistoexaminethein?uenceofthe main manufacturing parameters involved in AM and subtractive processes using different variables. Particularly, the study is focusedontheMaterialExtrusionprocessconcerningthelayerheight,?llangleand?lldensity;aswellastwofactorsrelated to machining, including stepover and pass direction. The parameters that were examined include the dimension, hardness, ?atness, 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 in?uence 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 speci?c application, leading to a more ef?cient approach for manufacturing.
Open peer comments: Debate/Discuss/Question/Opinion
<1>