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Impact of Design Variations and Infill Density in 3D-Printed PLA Components
Pradeep Raja1, Karthik Babu2, Elif Kaynak3
1School of Marine Engineering and Technology, Indian Maritime University, Kolkata Campus, P - 19, Taratalla Road, Kolkata 700 088, India.
Polymers
|December 31, 2025
Summary
This study analyzed 3D-printed polylactic acid (PLA) structures, finding Design M3 offers superior stiffness. Geometric design significantly impacts load-bearing performance, with simulations aiding in selecting optimal structural profiles.
Area of Science:
- Materials Science
- Mechanical Engineering
- Additive Manufacturing
Background:
- 3D printing enables customized lightweight structures with precise infill and geometry.
- Polylactic acid (PLA) is a common material for 3D-printed components.
- Understanding the mechanical behavior of these structures under various loads is crucial for engineering applications.
Purpose of the Study:
- To investigate the mechanical performance of four different 3D-printed PLA structural designs (M1-M4) at 10% infill density.
- To compare the results of finite element simulations with experimental three-point flexural tests.
- To evaluate the influence of different boundary conditions (roller vs. nodal) on structural response.
Main Methods:
- Finite element analysis (FEA) using ANSYS software was performed on four designs (M1-M4) under varying loads (10-25 N).
- Experimental three-point flexural tests were conducted on the 3D-printed PLA specimens.
- Deformation, stress, and strain responses were analyzed under roller and nodal boundary conditions.
Main Results:
- Design M3 demonstrated the highest stiffness and most consistent mechanical behavior across simulations and experiments.
- Design M4 exhibited greater deformation and lower bending resistance compared to other designs.
- Roller supports generally reduced deformation, while nodal supports enhanced local stiffness in specific designs.
Conclusions:
- Geometric design is a critical factor in the load-bearing capacity of 3D-printed structures.
- FEA simulations provide a reliable method for comparing and selecting optimal designs prior to 3D printing.
- The study validates the use of numerical modeling for predicting the mechanical performance of 3D-printed structural components.

