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http://dx.doi.org/10.3795/KSME-A.2017.41.7.607

Identification and Optimization of Dominant Process Parameters Affecting Mechanical Properties of FDM 3D Printed Parts  

Kim, Jung Sub (Dept. of Mechanical Engineering, Sungkyunkwan Univ.)
Jo, Nanhyeon (Service Design Institute, Sungkyunkwan Univ.)
Nam, Jung Soo (Dept. of Mechanical Engineering, Sungkyunkwan Univ.)
Lee, Sang Won (Dept. of Mechanical Engineering, Sungkyunkwan Univ.)
Publication Information
Transactions of the Korean Society of Mechanical Engineers A / v.41, no.7, 2017 , pp. 607-612 More about this Journal
Abstract
Recently, additive manufacturing (AM) technology, also known as 3D printing technology, has attracted attention as an innovative production method to fabricate functional components having complex shapes with saving materials. In particular, a fabrication of poly lactic acid (PLA) parts through a fused deposition modeling (FDM) technique has attracted much attention in the medical field. In this paper, an experimental study on the identification of dominant process parameters influencing mechanical properties of PLA parts fabricated by the FDM process is conducted, and their optimal values for maximizing the mechanical properties are obtained. Three process parameters are considered in this research, namely, layer thickness, a part orientation and in-fill. It is known that thin layer thickness, part orientation diagonal to the tension direction, and full in-fill are optimal conditions to maximize the mechanical properties.
Keywords
Additive Manufacturing; Fused Deposition Modeling; Mechanical Property; Dominant Process Parameter;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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