Knowledge Based Reverse Engineering Methodology

Author(s):  
Sébastien Remy ◽  
Florent Laroche ◽  
Alexandre Durupt ◽  
Alain Bernard

In Reverse Engineering, commercial solutions such as Geomagic™ or RapidForm™ or CAD software such as CATIA™ provide very efficient toolboxes that enable to rebuild geometry. Moreover, some of them provide segmentation algorithms, sketchers and/or many other facilities rebuilding tools in order to help to recover the original surface. Those software’s enable to rebuild the geometry of a technical object as a set of functions (protrusion, revolution, sweep…), they enable to add colours and textures, and they enable realistic kinematical animation and many other things. Unfortunately, all those toolboxes present a lack of geometry analysis tools. The geometry of a given product is the consequence of a complete process, it is important, considering Reverse Engineering activities, to try to recover any evidence of its past life (including socio-economical aspects, the design intents of the former designer, its different uses…) from its geometry in order to produce a good quality 3D model. Such models can provide important possibilities for Reverse Engineering. It enables to study the product more efficiently than a geometrical model based on a mesh or on free form surfaces. This paper proposes approaches and methodologies for using knowledge to rebuild CAD model to the best closer to the original CAD model that could have been obtained by the original designer. Such a model is feature based. They can be functional features or manufacturing features. For a good rebuilt of 3D model, the geometry of these features is driven by parameters, rules and relationships that are provided by the former designer.

2001 ◽  
Vol 40 (3) ◽  
pp. 215-227 ◽  
Author(s):  
Lai Xinmin ◽  
Lin Zhongqin ◽  
Huang tian ◽  
Zeng Ziping

2011 ◽  
Vol 338 ◽  
pp. 304-310
Author(s):  
Yung Yuan Hsu

The purpose of this study was to construct a knowledge-based CAD/KBE system for the optimal design of golf heads. The inability of conventional CAD systems to identify existing knowledge during design and manufacturing processes is a current development bottleneck. Therefore, this study attempted to effectively introduce and integrate KBE technology into a CAD system, so as to achieve the objective of knowledge driven automation (KDA). This study selected golf iron heads with a complex-design surface as the research subject, adopted commercial CAD software (UG/NX) and its secondary development environment as a platform and applied perturbation vectors in the control of NURBS free-form surfaces. We changed the CAD’s entity shapes and physical properties, integrated the optimal principle of design with a CAD solid model, to automatically drive the CAD solid model of golf iron heads according to the design objectives, and constructed a knowledge-based optimal CAD design technology.


2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Xue Ming He ◽  
Jun Fei He ◽  
Mei Ping Wu ◽  
Rong Zhang ◽  
Xiao Gang Ji

To seek better methods of measurement and more accurate model of reconstruction in the field of reverse engineering has been the focus of researchers. Based on this, a new method of adaptive measurement, real-time reconstruction, and online evaluation of free-form surface was presented in this paper. The coordinates and vectors of the prediction points are calculated according to a Bézier curve which is fitted by measured points. Final measured point cloud distribution is in agreement with the geometric characteristics of the free-form surfaces. Fitting the point cloud to a surface model by the nonuniform B-spline method, extracting some check points from the surface models based on grids and a feature on the surface, review the location of these check points on the surface with CMM and evaluate the model, and then update the surface model to meet the accuracy. Integrated measurement, reconstruction, and evaluation, with the closed-loop reverse process, established an accurate model. The results of example show that the measuring points are distributed over the surface according to curvature, and the reconstruction model can be completely expressed with micron level. Meanwhile, measurement, reconstruction and evaluation are integrated in forms of closed-loop reverse system.


1998 ◽  
Vol 76 (1-3) ◽  
pp. 128-132 ◽  
Author(s):  
A Werner ◽  
K Skalski ◽  
S Piszczatowski ◽  
W Święszkowski ◽  
Z Lechniak

Author(s):  
Sam E. Ebenstein ◽  
Vijitha S. Kiridena ◽  
Yelena M. Rodin ◽  
Gregory H. Smith

Abstract The Vehicle Perception Safety Research Team of the Ford Manufacturing & Vehicle Design Research Laboratory has developed artifacts, procedures and data analysis techniques to assist in evaluating systems used for the high-speed collection of geometric data. These systems are usually comprised of a non-contact sensor and a means of positioning the sensor relative to the part being inspected. They are usually used to collect data from sculptured or “free form” surfaces for reverse engineering or for applications in the emerging field of free form metrology. The evaluation procedure consists of acquiring data from three ceramic balls nominally 44.45 mm in diameter held by depressions in a flat plate. The data are then first analyzed using least square techniques to obtain observed radii of the balls and the location of their centers. Then free form metrology techniques are used to compare the data from each ball to an ideal sphere of the observed radius and center location. By combining the observed location and radii with a high resolution graphical representation of the quality of fit between the data and an ideal sphere, a good assessment of the system’s capability for collection of data for reverse engineering or for free form metrology is obtained. At the same time the technique graphically reveals any troublesome systematic or shape-related sources of error.


2021 ◽  
Vol 4 (2) ◽  
pp. 13-20
Author(s):  
Mehmood Ahmad ◽  
Sheharyar Nasir ◽  
Zia Ur Rahman ◽  
Shuaib Salamat ◽  
Umar Sajjad ◽  
...  

A rapidly advancing lean production industry demands quick manufacturing solutions with greater precision and accuracy. This paper proposes a framework for the accurate quantification of a die-casted wing using laser scanning and reverse engineering technique. In this technique, the wing upper and lower surfaces are scanned using a Coordinate Measuring Machine (CMM). This scanned data is then imported into CAD software to generate the surface using Free Form Reverse Engineering (FFRE). The model fitness test patronizes the curve fitting used for the surface generation. The generated surface and the original 3D CAD model are investigated using deviation analysis for inaccuracies originating due to manufacturing and data acquisition. The wing is further analyzed by the point data to 3D CAD model deviation analysis. The methodology adopted significantly minimizes the data acquisition and data processing error allowing deviation to be solely traced back to the manufacturing technique.


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