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Influence of building orientation on the flexural strength of laminated object manufacturing specimens

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Abstract

This study aims to define the best building orientation for components produced via the Laminated object manufacturing (LOM) technique to enhance their flexural performance. Results of previous research show that components produced via LOM are capable of with-standing higher deflections than components produced through other layer manufacturing techniques. However, the relation between the building orientation and flexural strength of components has not yet been assessed. Four types of specimens have been manufactured using different building orientations for each type. The specimens have been tested in a machine with four loading points to evaluate their failure mode and identify the best building orientation toward flexural loading. The best building orientation in terms of maximum load before failure is 45°. Furthermore, a repetitive failure pattern is found for each tested condition. Building orientation is confirmed to be a relevant parameter in LOM manufacturing by influencing the mechanical properties of components.

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Correspondence to R. Jerez-Mesa.

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Recommended by Associate Editor Vikas Tomar

Djamila Olivier holds a master’s degree in Materials Engineering. She is currently a Ph.D. candidate and an expert in 3D Printing Materials. Her field of expertise focuses on the Development and Validation of new Polymeric Materials, and the Applications of 3D Printing and Additive Manufacturing Systems.

Ramón Jerez Mesa is an Industrial Engineer and a Ph.D. candidate at the Mechanical Engineering Department of the Polytechnic University of Catalonia. His research activity focuses on Ultrasonic Finishing Processes, the Characterization of Rapid Manufacturing, and 3D Printing via Laminated Object Manufacturing and Fused Deposition Modeling.

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Olivier, D., Travieso-Rodriguez, J.A., Borros, S. et al. Influence of building orientation on the flexural strength of laminated object manufacturing specimens. J Mech Sci Technol 31, 133–139 (2017). https://doi.org/10.1007/s12206-016-1212-4

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  • DOI: https://doi.org/10.1007/s12206-016-1212-4

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