Physics Procedia · 2015 · 57 citations · 23 references
EngineeringIndustrial EngineeringManufacturing EngineeringAdditive ManufacturingManufacturing ProcessesManufacturing Systems3D PrintingDesign For ManufacturingMachiningManufacturing ConstraintsManufacturing TechnologyTaguchi MethodsDesign For Manufacturability In Additive ManufacturingLaser Additive ManufacturingManufacturing Process IntegrationProcess ParametersProcess Parameters OptimizationStatistical Process OptimizationStereolithographyTaguchi Designs
Additive manufacturing (AM) is expanding the manufacturing capabilities. However, quality of AM produced parts is dependent on a number of machine, geometry and process parameters. The variability of these parameters affects the manufacturing drastically and therefore standardized processes and harmonized methodologies need to be developed to characterize the technology for end use applications and enable the technology for manufacturing. This research proposes a composite methodology integrating Taguchi Design of Experiments, multi-objective optimization and statistical process control, to optimize the manufacturing process and fulfil multiple requirements imposed to an arbitrary geometry. The proposed methodology aims to characterize AM technology depending upon manufacturing process variables as well as to perform a comparative assessment of three AM technologies (Selective Laser Sintering, Laser Stereolithography and Polyjet). Results indicate that only one machine, laser-based Stereolithography, was feasible to fulfil simultaneously macro and micro level geometrical requirements but mechanical properties were not at required level. Future research will study a single AM system at the time to characterize AM machine technical capabilities and stimulate pre-normative initiatives of the technology for end use applications.
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Quality Engineering Using Robust Design
Tom Menten, M. S. Phadke · Technometrics · 1991 · 3.5K citations
Nonlinear Multiobjective Optimization
S. Mardle, K. M. Miettinen · Journal of the Operational Research Society · 2000 · 3.1K citations