Understanding the Anisotropic Characteristics of 3D Printed Parts

Richard Joseph Williams; Mehmet Emre Bahadir

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Conference: 2022 ASEE Gulf Southwest Annual Conference
Location: Prairie View, Texas
Publication Date: March 16, 2022
Start Date: March 16, 2022
End Date: March 18, 2022
Tagged Topic: Diversity
Page Count: 6
DOI: 10.18260/1-2--39218
Permanent URL: https://peer.asee.org/39218
Download Count: 696

Paper Authors

biography

Richard Joseph Williams Jr. Southeastern Louisiana University

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My name is Richard Williams Jr, and I am currently a Senior Mechanical Engineering Technology major at Southeastern Louisiana University. I am from New Orleans, LA. My research interests include electric utility manufacturing as well as additive manufacturing technology. I can be reached at
richard.williams-6@selu.edu

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biography

Mehmet Emre Bahadir Southeastern Louisiana University

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Mehmet Emre Bahadir is an Assistant Professor at Southeastern Louisiana University, Department of Industrial and Engineering Technology. His teaching and research interests are in the field of additive manufacturing, product design, and sustainable manufacturing.

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Abstract

Engineers use various scientific and engineering tools and methods to define, design, and analyze their solutions or products. One of the latest engineering design tools that is capable of generating solutions to design problems is "Generative Design" (GD) technology. Generative Design software is an advanced engineering design simulation that can produce multiple design alternatives/solutions based on a set of functions, specifications, and constraints defined by the design engineers. The major difference between GD and the other engineering tools, such as Finite Element Analysis (FEA), is that GD optimizes the shape of the design solution based on the manufacturing process selected by the design engineer. So, the design and shape solution recommended by GD for five-axis machining will be different from a solution developed for the casting process. In order to use the power of GD to the full extend, one specific area that requires more investigation is additive manufacturing. Additive manufacturing (AM), also known as 3D printing, is a fabrication method that creates parts layer-by-layer based on the shape information provided as a CAD file. Currently, there are numerous 3D printing technologies and compatible 3D printing materials available to create products for various purposes ranging from prototyping to end-use. Additive manufacturing is particularly important for Generative Design because any 3D CAD model designed using a CAD software program or any design recommended by a GD software program can be 3D printed regardless of how complex the shape is. However, current GD software programs do not consider the printing orientation of the parts, which directly affects the printed part's mechanical characteristics due to the anisotropic behavior of the 3D printed components. The aim of this study is to identify the mechanical characteristics of selected 3D printing materials for the selected 3D printing technologies through mechanical testing of 3D printed parts. The results of this study will be used to identify the issues related to the anisotropic characteristics of the materials. It will help design engineers and researchers to be able to employ appropriate 3D printing technologies for the materials selected and be able to determine a better product shape and printing orientation among the designs recommended by the GD software program. The research will focus on four 3D printing technologies: Fused Deposition Modeling (FDM), Continuous Fiber Reinforcement (CFR), Polyjet, and Stereolithography (SLA) 3D printing technologies. 3D printed parts will be evaluated through tensile testing, compression testing, and fracture testing.

Citation
Format

Williams, R. J., & Bahadir, M. E. (2022, March), Understanding the Anisotropic Characteristics of 3D Printed Parts Paper presented at 2022 ASEE Gulf Southwest Annual Conference, Prairie View, Texas. 10.18260/1-2--39218

TY - CPAPER
AB - Engineers use various scientific and engineering tools and methods to define, design, and analyze their solutions or products. One of the latest engineering design tools that is capable of generating solutions to design problems is &quot;Generative Design&quot; (GD) technology. Generative Design software is an advanced engineering design simulation that can produce multiple design alternatives/solutions based on a set of functions, specifications, and constraints defined by the design engineers. The major difference between GD and the other engineering tools, such as Finite Element Analysis (FEA), is that GD optimizes the shape of the design solution based on the manufacturing process selected by the design engineer. So, the design and shape solution recommended by GD for five-axis machining will be different from a solution developed for the casting process. In order to use the power of GD to the full extend, one specific area that requires more investigation is additive manufacturing. Additive manufacturing (AM), also known as 3D printing, is a fabrication method that creates parts layer-by-layer based on the shape information provided as a CAD file. Currently, there are numerous 3D printing technologies and compatible 3D printing materials available to create products for various purposes ranging from prototyping to end-use.
Additive manufacturing is particularly important for Generative Design because any 3D CAD model designed using a CAD software program or any design recommended by a GD software program can be 3D printed regardless of how complex the shape is. However, current GD software programs do not consider the printing orientation of the parts, which directly affects the printed part&#39;s mechanical characteristics due to the anisotropic behavior of the 3D printed components. The aim of this study is to identify the mechanical characteristics of selected 3D printing materials for the selected 3D printing technologies through mechanical testing of 3D printed parts. The results of this study will be used to identify the issues related to the anisotropic characteristics of the materials. It will help design engineers and researchers to be able to employ appropriate 3D printing technologies for the materials selected and be able to determine a better product shape and printing orientation among the designs recommended by the GD software program. The research will focus on four 3D printing technologies: Fused Deposition Modeling (FDM), Continuous Fiber Reinforcement (CFR), Polyjet, and Stereolithography (SLA) 3D printing technologies. 3D printed parts will be evaluated through tensile testing, compression testing, and fracture testing.
AU - Richard Joseph Williams Jr.
AU - Mehmet Emre Bahadir
CY - Prairie View, Texas
DA - 2022/03/16
PB - ASEE Conferences
TI - Understanding the Anisotropic Characteristics of 3D Printed Parts
UR - https://peer.asee.org/39218
DO - 10.18260/1-2--39218
ER -