| Author | Sutipong Kiatpanichgij |
| Note | A dissertation submitted in partial fulfillment of the requirements for the
degree of Doctoral of Engineering in
Mechatronics, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Abstract | The recent growth of industrial computed tomography (CT) scanning systems facilitates volumetric data acquisition for a complete industrial component in a non-destructive manner. One of potential applications of this technology is reverse engineering. Reverse engineering is a process to reconstruct a computer-aided design (CAD) model from the scanned data of an object. However, reconstructing a CAD model from industrial CT-scanned data involves many problems. (1) A stack of CT images from industrial CT scanning systems is very dense (2) The industrial CT image is very noisy (3) The surface topology of a scanned industrial component is unknown. Moreover, a reconstructed CAD model should be compatible with the industrial application.
This dissertation presents a CAD model reconstruction method from industrial CT-scanned data for reverse engineering purposes. We focus mainly on solving the problem to reconstruct a CAD model from industrial CT-scanned data. This problem can be separated into two main problems. The first problem is to generate the point cloud and feature point from industrial CT-scanned data. For this problem, we proposed the method to generate the point cloud and feature points without a polygon meshes model generation. The point cloud is generated by interpolating the coordinates of surface voxels with CT values. For the feature point generation, the 3D mask convolution is applied to detect the feature voxels. The second problem is to reconstruct surfaces from the generated point cloud and feature points. As the intention of advanced product design and modification, the primitive shape parameters need to be recovered. For this reason, two integrated solutions, namely surface feature-based strategy and geometric primitive feature-based strategy, are applied to reconstruct the surfaces. Finally, modeling operations such as surface trimming and surface deformation were performed to generate the final model.
A variety of industrial components were tested to demonstrate the applicability of our proposed method. We also conducted an experiment to evaluate the accuracy of our method. The experiment result indicates that the proposed method can recover the primitive shape parameter with the error less than 1.0 × 10–2 mm. This result is very useful for the redesign or modification application in the CAD manufacturing. |
| Year | 2014 |
| Type | Dissertation |
| School | School of Engineering and Technology (SET) |
| Department | Department of Industrial Systems Engineering (DISE) |
| Academic Program/FoS | Microelectronics (ME) |
| Chairperson(s) | Afzulpurkar, Nitin V.; |
| Examination Committee(s) | Manukid Parnichkun;Nagai, Masahiko;Kanai, Satoshi; |
| Scholarship Donor(s) | Royal Thai Government (RTG);Asian Institute of Technology Fellowship |