articleTop 1% cited
Fused deposition modelling (FDM) process parameter prediction and optimization using group method for data handling (GMDH) and differential evolution (DE)
The International Journal of Advanced Manufacturing Technology · 2014 · Vol. 73(1-4) · pp. 509–519
Farzad Rayegani✉(Sheridan College)Godfrey C. Onwubolu(Sheridan College)
Additive Manufacturing and 3D Printing TechnologiesManufacturing Process and OptimizationAdditive Manufacturing Materials and ProcessesRaster graphicsUltimate tensile strengthProcess (computing)Orientation (vector space)Process variableDifferential evolutionResponse surface methodologyAir gap (plumbing)Design of experimentsGroup method of data handling
Citations
339
FWCI
16.96
field-weighted impact
References
29
Percentile
99%
vs. same field & year
Citations per year
Cited by
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References
Measurement of anisotropic compressive strength of rapid prototyping parts
Journal of Materials Processing Technology · 2007 · 454 citations
Optimization of rapid prototyping parameters for production of flexible ABS object
Journal of Materials Processing Technology · 2005 · 548 citations
A model research for prototype warp deformation in the FDM process
The International Journal of Advanced Manufacturing Technology · 2006 · 315 citations
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Fused deposition modelling (FDM) process parameter prediction and optimization using group method for data handling (GMDH) and differential evolution (DE)
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