In this comprehensive exploration, the study explores the relationship between shape and the di-mensional accuracy of components manufactured through additive manufacturing processes. The methodology involves the adept utilization of Autodesk Inventor Software, strategically embossing capital letters from A to O onto a rectangular plate. The resulting models are exported in STL for-mat, laying the foundation for rapid prototyping. The investigation unfolds with the application of a Prusa İ3 desktop 3D printer, where specific settings, including layer height (ranging from 90 to 300 microns), 20% infill density, and a heated bed temperature of 60 ºC, are scrupulously chosen. Three different embossing methods are examined in this study to see how each affects dimensional cor-rectness. These methods are join, cut half, and cut through. Through a meticulous comparative analysis, facilitated by high-resolution image acquisition and advanced processing techniques like binarizing and edge detection, the study discerns that embossing with join yields shapes character-ized by higher dimensional accuracy, a conclusion substantiated by correlation coefficient analysis. This research stands as a significant contribution, offering valuable insights into optimizing additive manufacturing processes and elevating dimensional precision in 3D printed components.
Additive Manufacturing Shape Effects Image Processing Edge Detection Dimensional Accuracy STL Format.
In this comprehensive exploration, the study explores the relationship between shape and the di-mensional accuracy of components manufactured through additive manufacturing processes. The methodology involves the adept utilization of Autodesk Inventor Software, strategically embossing capital letters from A to O onto a rectangular plate. The resulting models are exported in STL for-mat, laying the foundation for rapid prototyping. The investigation unfolds with the application of a Prusa İ3 desktop 3D printer, where specific settings, including layer height (ranging from 90 to 300 microns), 20% infill density, and a heated bed temperature of 60 ºC, are scrupulously chosen. Three different embossing methods are examined in this study to see how each affects dimensional cor-rectness. These methods are join, cut half, and cut through. Through a meticulous comparative analysis, facilitated by high-resolution image acquisition and advanced processing techniques like binarizing and edge detection, the study discerns that embossing with join yields shapes character-ized by higher dimensional accuracy, a conclusion substantiated by correlation coefficient analysis. This research stands as a significant contribution, offering valuable insights into optimizing additive manufacturing processes and elevating dimensional precision in 3D printed components.
Additive Manufacturing Shape Effects Image Processing Edge Detection Dimensional Accuracy STL Format.
Primary Language | English |
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Subjects | Optimization Techniques in Mechanical Engineering |
Journal Section | Research Article |
Authors | |
Publication Date | April 30, 2025 |
Submission Date | January 9, 2024 |
Acceptance Date | April 16, 2024 |
Published in Issue | Year 2025 Volume: 9 Issue: 1 |
International Journal of 3D Printing Technologies and Digital Industry is lisenced under Creative Commons Atıf-GayriTicari 4.0 Uluslararası Lisansı