Mathematical modeling and FDM process parameters optimization using response surface methodology based on Q-optimal design
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journal contribution
posted on 2016-12-01, 00:00 authored by O A Mohamed, S H Masood, J L Bhowmik© 2016 Fused deposition modeling (FDM) is a growing 3D printing technique widely practiced around the world in various industrial applications because of its ability to create complex 3D objects and geometries. Reduction of build time and feedstock material consumption without compromising the mechanical performance is the major concern in most industrial applications affecting the cost and the functionality of the manufactured part. One of the key issues of FDM process is how to select the correct parameters to reduce the build time and to reduce feedstock material consumption while maintaining high dynamic mechanical properties. In this study, influence of critical FDM parameters—layer thickness, air gap, raster angle, build orientation, road width, and number of contours—are studied using Q-optimal response surface methodology. Their effects on build time, feedstock material consumption and dynamic flexural modulus are critically examined. Mathematical models have been formulated to develop a functional relationship between the processing conditions and the process quality characteristics. Analysis of variance (ANOVA) technique was employed to check the adequacy and significance of mathematical models. Moreover, the optimal setting of process parameters was determined. A confirmation test was also conducted in order to verify the developed models and the optimal settings. The results show that Q-optimal design is a very promising method in FDM process parameter optimization. The results also confirm the adequacy of the developed models.
History
Journal
Applied mathematical modellingVolume
40Issue
23-24Pagination
10052 - 10073Publisher
ElsevierLocation
Amsterdam, The NetherlandsPublisher DOI
Link to full text
ISSN
0307-904XLanguage
engPublication classification
C1.1 Refereed article in a scholarly journalCopyright notice
2016, ElsevierUsage metrics
Keywords
Science & TechnologyTechnologyPhysical SciencesEngineering, MultidisciplinaryMathematics, Interdisciplinary ApplicationsMechanicsEngineeringMathematicsFused deposition modeling (FDM)Q-optimal designOptimizationProcess parametersBuild timeFeedstock material consumptionDynamic flexural modulusArtificial Intelligence and Image Processing
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