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Comparative Study of Surface Finish and Dimensional Accuracy in FDM 3D Printed Parts

Authors

Vikas Sharma

Department of Computer Applications, SRM Institute of Science and Technology, Delhi NCR Campus, Ghaziabad, U.P. India (IN)

Imran Khan

School of Engineering & Technology, Shri Venkateshwara University, Gajraula, U.P. India (IN)

Sharad Kumar

School of Engineering & Technology, Shri Venkateshwara University, Gajraula, U.P. India (IN)

Ashutosh Singh

School of Engineering & Technology, Shri Venkateshwara University, Gajraula, U.P. India (IN)

Article Information

DOI: 10.51583/IJLTEMAS.2025.1412000105

Subject Category: Fused Deposition Modeling (FDM)

Volume/Issue: 14/12 | Page No: 1193-1201

Publication Timeline

Submitted: 2026-01-11

Published: 2026-01-10

Abstract

Fused Deposition Modeling (FDM) has emerged as one of the most widely adopted additive manufacturing technologies due to its cost-effectiveness, design flexibility, and ease of operation. However, the quality of FDM-fabricated components is often limited by issues related to surface finish and dimensional accuracy, which are critical parameters for functional and end-use applications. This paper presents a comparative study on the influence of key FDM process parameters on surface roughness and dimensional deviation of 3D printed parts. Standard test specimens were fabricated using commonly used thermoplastic materials under varying printing conditions, including layer thickness, print speed, build orientation, and infill density. Surface finish was evaluated using surface roughness measurements, while dimensional accuracy was assessed through precise dimensional inspection and deviation analysis. The experimental results reveal that layer thickness and build orientation have a significant impact on surface quality, whereas print speed and infill density play a crucial role in dimensional stability. A comparative analysis is carried out to identify optimal parameter combinations that achieve improved surface finish without compromising dimensional accuracy. 

Keywords

Fused Deposition Modeling (FDM), Additive Manufacturing, Surface Roughness, Dimensional Accuracy, Process Parameters, 3D Printing

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