A methodology for evaluation of the dimensional quality of 3D printed parts

Abstract

In this study, the dimensional variation defect between the CAD designed model and a 3D printed model using material extrusion technique was investigated by a software algorithm developed. This software analyses the CAD and sliced model to scans for dimensional data, which can be used as a reference to check dimensional deviations during the actual 3D printing operation. It is worthy of note that despite the wide adoption of 3D printing technology in various industries, defects such as dimensional variations hinder its mass production potential. There has been a spike in the adoption of 3D printing technology across various industries due to increased industrial research and development. However, not quite a lot has been done regarding the dimensional accuracy of printed components as this affects the usage of printed components across its various areas of application. In lieu of this, a software algorithm was developed for this study which investigates the dimensional deviations of the printed model through the utilization of computer vision algorithm. This solution will be applicable to a wide range of three dimensional geometries to be printed and hence will anticipate dimensional variance, which could lead to a failed printing, thereby saving economic and human resources in additive manufacturing.