Fused Deposition Modeling (FDM) has emerged as one of the most widely used additive manufacturing technologies due to its cost-effectiveness, material versatility, and ease of operation. The mechanical performance of FDM printed parts is strongly influenced by process parameters such as infill density, infill pattern, raster angle, layer thickness, printing orientation, and post-processing conditions. This review paper presents a comprehensive analysis of recent studies focusing on the tensile, flexural, compressive, and fatigue behavior of commonly used thermoplastic materials including PLA, PETG, ASA, and carbon-fiber reinforced PETG. The review emphasizes the influence of infill geometry, layer height, and material combinations on anisotropy, strength, and structural integrity of printed components. Comparative findings from experimental investigations and finite element simulations are summarized to identify optimal process conditions for enhanced mechanical performance. The paper also highlights current research gaps and future directions in multi-material printing, reinforcement strategies, and parameter optimization.
Introduction
The study reviews the application of Fused Deposition Modeling (FDM) in additive manufacturing, focusing on PETG and ASA materials and the influence of printing parameters on their mechanical performance. FDM is widely used because of its affordability, rapid prototyping capability, low material waste, and ability to produce complex geometries. PETG offers high impact strength, flexibility, chemical resistance, and excellent layer adhesion, making it suitable for functional and engineering components. ASA provides superior UV resistance, thermal stability, weather durability, and impact resistance, making it ideal for outdoor and high-temperature applications. As these materials become increasingly popular in engineering, optimizing FDM process parameters is essential to achieve reliable mechanical properties and dimensional accuracy.
The review highlights that key printing parameters—including infill density, infill pattern, layer thickness, raster angle, build orientation, nozzle temperature, and print speed—significantly affect tensile strength, hardness, surface finish, impact resistance, and structural integrity. Higher infill densities improve strength, stiffness, fatigue resistance, and dimensional stability by reducing internal voids, although they increase printing time and material consumption. Different infill patterns also influence stress distribution, with gyroid, honeycomb, concentric, hexagonal, and cubic structures offering varying advantages in strength, stiffness, and weight reduction. Lower layer thickness improves interlayer bonding, tensile strength, and surface quality but requires longer printing times. Similarly, optimized raster angles and build orientations enhance load distribution, reduce crack propagation, and improve isotropic mechanical behavior.
The review also emphasizes the growing use of statistical optimization techniques, such as Taguchi analysis and Response Surface Methodology (RSM), to determine optimal combinations of process parameters while minimizing experimental effort. Additionally, Finite Element Modeling (FEM) has emerged as an effective tool for predicting the mechanical behavior and deformation of FDM-printed PETG and ASA components, reducing the need for extensive experimental testing. Overall, the study concludes that careful optimization of material selection and printing parameters is essential for producing high-performance, lightweight, and durable FDM components, while FEM provides an efficient approach for design validation and process optimization in engineering applications.
Conclusion
The mechanical properties of FDM printed components are strongly dependent on process parameters such as infill density, infill pattern, raster angle, layer thickness, and printing orientation. Higher infill density generally improves strength and stiffness but increases printing time and material usage. Honeycomb, gyroid, and concentric infill structures demonstrate superior stress distribution and mechanical efficiency. Lower layer thickness enhances interlayer adhesion and tensile strength.
Among the reviewed materials, PETG offers balanced mechanical performance and printability, while ASA provides superior environmental resistance. Carbon-fiber reinforced PETG significantly improves stiffness and structural stability for engineering applications.
Finite element analysis has emerged as an effective tool for predicting anisotropic behavior and optimizing FDM structures. Future work should focus on multi-material printing, fatigue analysis, machine learning-based optimization, and sustainable composite development to further improve the performance of FDM printed components.
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