STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Polymer & Composites Original Research Special issue

Enhancing Dimensional Accuracy of Affordable 3D-Printed Objects Via Solid Model Tuning For Industrial Manufacturing

  1. Naser A. Alsaleh Department of Industrial Engineering, College of Engineering, Imam Mohammad Ibn Saud Islamic University (IMSIU)

Abstract

In the industrial applications of 3D printing (3DP) technologies, achieving precise dimensional accuracy and precision as well as improving surface quality are essential goals. With a focus on cost-effective engineering applications, this experimental research examines how solid model geometry tuning improves the internal and exterior dimensional accuracy of inexpensive 3DP technologies. Dimensional errors in the X, Y, and Z directions were meticulously measured on 3D parts made using Material Extrusion/Fused Filament Fabrication (FFF) and Stereolithography (SLA)/Digital Light Processing (DLP), and these measurements were utilized for 3D model error correction by tuning. These measurements guided the refinement of subsequent solid models, resulting in significant improvements in the dimensional accuracy of low-cost SLA and FFF 3D-printed polymer material parts, making them suitable for use as direct products, dies, and patterns. A recently developed novel and simple error-tuning mathematical model is experimentally validated in this study and addresses internal and external dimensions based on measured linear directional errors (ei, ej, and ek). This approach provides a flexible approach for achieving higher dimensional accuracy across various 3D printing processes. This work addresses crucial challenges in low-cost SLA and FFF processes, offering new insights and solutions for improving accuracy in future engineering applications of these technologies.

Keywords

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