International Journal of Production Research · 2008 · 47 citations · 23 references
EngineeringManufacturing EngineeringMaterials EngineeringDesign OptimizationManufacturing ProcessesOptimizationBuild OrientationManufacturing Process PlanningProcess OptimizationRapid PrototypingSurface MetrologyBuild Time OptimizationFabrication OptimizationManufacturing OptimizationMulti-objective Orientation OptimizationPart OrientationPart Orientation PlanningSurface Roughness ModelingSurface Roughness Optimization
Abstract In the present work an attempt has been made to achieve minimum average part surface roughness (best overall surface quality), minimum build time and support structure for stereolithography (SL) and selective laser sintering (SLS) processed parts by determining optimum part deposition orientation. A conventional optimisation algorithm based on a trust region method (available with MATLAB-7 optimisation tool box) has been used to solve the multi-objective optimisation problem. It is observed that the problem is highly multi-modal in nature and a suitable initial guess, which is used as an input to execute the optimisation module, is important to achieve a global optimum. A simple methodology has been proposed to find out the initial guess so that global minimum is obtained. Finally the surface roughness simulation is carried out with optimum part deposition orientation to have an idea of surface roughness variation over the entire part's surface before depositing the part. Case studies are presented to demonstrate the capabilities of the developed system. The major achievements of this work are consideration of multiple objectives for the two rapid prototyping processes, successful use of conventional optimisation algorithm available with MATLAB to handle multiple objectives and development of graphical user interface-based system. Keywords: stereolithography (SL)selective laser sintering (SLS)part deposition orientationsurface roughnessoptimisation Acknowledgements The financial assistance provided by Council of Scientific and Industrial Research, New Delhi for carrying out this work is gratefully acknowledged.
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Progress in Additive Manufacturing and Rapid Prototyping
J.-P. Kruth, M.C. Leu, Takeo Nakagawa · CIRP Annals · 1998 · 1.3K citations · Full text
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Rapid Prototyping, Principles and Applications
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