CAD Software Tools Employed in a Reverse Engineering Application: a Fan Propeller Model Reconstruction

Author(s):  
Mizael S. Falheiro ◽  
Laurivan S. Diniz ◽  
Jose C. Lima ◽  
Hossein R. Najafabadi ◽  
Tiago G. Goto ◽  
...  
Author(s):  
Jai Menon ◽  
Ranjit Desai ◽  
Jay Buckey

Abstract This paper extends the “cross-sectional” approach for reverse engineering, used abundantly in biomedical applications, to the mechanical domain. We propose a combination of “projective” and cross-sectional algorithms for handling physical artifacts with complex topology and geometry. In addition, the paper introduces the concept of constraint-based reverse engineering, where the constraint parameters could include one or more of the following: time, storage (memory, disk-space), network bandwidth, Quality of Service (output-resolution), and so forth. We describe a specific reverse-engineering application which uses ultrasound (tilt-echo) imaging to reverse engineer spatial enumeration (volume) representations from cross-sectional data. The constraint here is time, and we summarize how our implementation can satisfy real-time reconstruction for distribution of the volume data on the internet. We present results that show volume representations computed from static objects. Since the algorithms are tuned to satisfy time constraints, this method is extendable to reverse engineer temporally-varying (elastic) objects. The current reverse engineering processing time is constrained by the data-acquisition (tilt-echo imaging) process, and the entire reverse engineering pipeline has been optimized to compute incremental volume representations in the order of 3 seconds on a network of four processors.


Author(s):  
Tongming TANG ◽  
Zheng ZHANG ◽  
Hongjun NI ◽  
Jiawen DENG ◽  
Mingyu HUANG

2015 ◽  
Vol 741 ◽  
pp. 199-203
Author(s):  
Xiang Li ◽  
Jun Min Huang

This work introduces the workings of reverse engineering, its characteristics and application methods and proposes a data acquisition system applicable to industrial design, namely, three dimensional sensing system (3DSS). This work also gives a detailed account of 3DSS data acquisition methods and issues that deserve special attention in operation. A car model reconstruction case is provided as an example to study the performance of 3DSS in reverse engineering. Results have confirmed the significant role of this data acquisition method in reverse engineering.


2015 ◽  
Vol 4 (2) ◽  
pp. 48-57
Author(s):  
Naci Yastikli ◽  
Zehra Erisir ◽  
Pelin Altintas ◽  
Tugba Cak

The reverse engineering applications has gained great momentum in industrial production with developments in the fields of computer vision and computer-aided design (CAD). The reproduction of an existing product or a spare part, reproduction of an existing surface, elimination of the defect or improvement of the available product are the goals of industrial reverse engineering applications. The first and the most important step in reverse engineering applications is the generation of the three dimensional (3D) metric model of an existing product in computer environment. After this stage, many operations such as the preparation of molds for mass production, the performance testing, the comparison of the existing product with other products and prototypes which are available on the market are performed by using the generated 3D models. In reverse engineering applications, the laser scanner system or digital terrestrial photogrammetry methods, also called contactless method, are preferred for the generation of the 3D models. In particular, terrestrial photogrammetry has become a popular method since require only photographs for the 3-dimensional drawing, the generation of the dense point cloud using the image matching algorithms and the orthoimage generation as well as its low cost. In this paper, an industrial application of 3D information modelling is presented which concerns the measurement and 3D metric modelling of the ship model. The possible usage of terrestrial photogrammetry in reverse engineering application is investigated based on low cost photogrammetric system. The main aim was the generation of the dense point cloud and 3D line drawing of the ship model by using terrestrial photogrammetry, for the production of the ship in real size as a reverse engineering application. For this purpose, the images were recorded with digital SLR camera and orientations have been performed. Then 3D line drawing operations, point cloud and orthoimage generations have been accomplished by using PhotoModeler software. As a result of the proposed terrestrial photogrammetric steps, 0.5 mm spaced dense point cloud and orthoimage have been generated. The obtained results from experimental study were discussed and possible use of proposed methods was evaluated for reverse engineering application.


2012 ◽  
Vol 251 ◽  
pp. 257-265
Author(s):  
Dong Qiang Gao ◽  
Jiang Miao Yi ◽  
Lin Hu ◽  
Huan Lin

It takes the mouse surface for example and introduces the general process of reverse engineering combining with the advantage of Pro/E and Mastercam,including using CMM for the data acquisition, using Pro/E for data preprocessing and model reconstruction, using Mastercam for processing the cavity and arranging actual processing on CNC with wax model to achieve the End-entity. Thereby, it provides a practical approach on reverse engineering for complicated product.


2012 ◽  
Vol 63 (4) ◽  
pp. 1189-1200 ◽  
Author(s):  
Jun Wang ◽  
Dongxiao Gu ◽  
Zeyun Yu ◽  
Changbai Tan ◽  
Laishui Zhou

2002 ◽  
Vol 2 (3) ◽  
pp. 160-170 ◽  
Author(s):  
Jianbing Huang ◽  
Chia-Hsiang Menq

In this paper, a systematic scheme is proposed and novel technologies are developed to automatically reconstruct a CAD model from a set of point clouds scanned from the boundary surface of an existing object. The proposed scheme is composed of three major steps. In the first step, multiple input point clouds are incrementally integrated into a watertight triangle mesh to recover the object shape. In the second step, mesh segmentation is applied to the triangle mesh to extract individual geometric feature surfaces. Finally, the manifold topology describing the connectivity information between different geometric surfaces is automatically extracted and the mathematical description of each geometric feature is computed. The computed topology and geometry information represented in ACIS modeling kernel form a CAD model that may be used for various downstream applications. Compared with prior work, the proposed approach has the unique advantage that the processes of recognizing geometric features and of reconstructing CAD models are fully automated. Integrated with state of the art scanning devices, the developed model reconstruction method can be used to support reverse engineering of high precision mechanical components. It has potential applications to many engineering problems with a major impact on rapid design and prototyping, shape analysis, and virtual reality.


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