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

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published
  • Cristian-Vasile Doicin
  • Mihaela-Elena Ulmeanu
  • Allan Rennie
  • Elena Lupeanu
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Publication date5/04/2019
Host publication16th Rapid Design, Prototyping & Manufacturing Conference (RDPM2019)
EditorsAllan Rennie, Eujin Pei, Philip Hackney
Number of pages7
<mark>Original language</mark>English
Event16th Rapid Design, Prototyping & Manufacturing Conference - Brunel University London, Uxbridge, United Kingdom
Duration: 4/04/20195/04/2019
http://www.rdpmconference.co.uk

Conference

Conference16th Rapid Design, Prototyping & Manufacturing Conference
Abbreviated titleRDPM 2019
Country/TerritoryUnited Kingdom
CityUxbridge
Period4/04/195/04/19
Internet address

Conference

Conference16th Rapid Design, Prototyping & Manufacturing Conference
Abbreviated titleRDPM 2019
Country/TerritoryUnited Kingdom
CityUxbridge
Period4/04/195/04/19
Internet address

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.