Knowledge Based Reverse Engineering—An Approach for Reverse Engineering of a Mechanical Part

2010 ◽  
Vol 10 (4) ◽  
Author(s):  
A. Durupt ◽  
S. Remy ◽  
G. Ducellier
Keyword(s):  
Reverse Engineering ◽  
Point Of View ◽  
Physical Models ◽  
Cad Model ◽  
Virtual Model ◽  
Current Interest ◽  
Mechanical Part ◽  
Knowledge Based ◽  
Geometric Point ◽  
Good For

Reverse engineering (RE) is a domain of current interest where physical models are measured or digitized in order to obtain a virtual model. Currently, these virtual models are rebuilt using approaches that consider only a geometric point of view. These models are generally frozen (i.e., poorly parameterized and not easy to modify). These kinds of models are good for many applications but people need more for redesign operations. This paper proposes a knowledge-based approach for reverse engineering that enables a RE user to rebuild nonfrozen models that are close to an original CAD model.

Reverse Engineering Physical Models Employing Wrap-Around B-Spline Surfaces and Quadrics

1996 ◽  
Vol 210 (2) ◽  
pp. 147-157 ◽  
Author(s):  
D J Weir ◽  
M J Milroy ◽  
C Bradley ◽  
G W Vickers
Keyword(s):  
Reverse Engineering ◽  
Computer Aided Design ◽  
Laser Scanning ◽  
Three Dimensional ◽  
Surface Fitting ◽  
Physical Models ◽  
Scanning System ◽  
Cad Model ◽  
Three Dimensional Model ◽  
B Spline

Reverse engineering involves digitizing a three-dimensional model or part, by means of a tactile or non-contact optical sensor, converting the data to a CAD (computer aided design) database description and manufacturing by CNC (computer numerical controlled) machines. This paper demonstrates an effective approach to the reverse engineering of physical models by employing a three-dimensional laser scanning system in conjunction with surface-fitting software developed by the authors. Accurate surface data are collected by the laser scanner and then input to the surface-fitting software. Surface entities such as B-spline and quadric functions are employed to build the CAD model. The CAD model is compatible with popular design and manufacturing software packages. A telephone receiver is used to illustrate the efficiency of the process.

scholarly journals Simulator effectiveness test for e-training with the use DROMADER tele-operated vehicle

ACTA IMEKO ◽  
2019 ◽  
Vol 8 (4) ◽  
pp. 54 ◽  
Author(s):  
Igor Ostrowski ◽  
Andrzej Maslowski
Keyword(s):  
Graphical Models ◽  
3D Modelling ◽  
Physical Models ◽  
Mobile Platform ◽  
Simulator Training ◽  
Control Panel ◽  
Cad Model ◽  
Mechanical Part ◽  
Previous Training

This article presents the results of an effectiveness test of a simulator for the e-training operators of tele-operated vehicles with the use of a UGV DROMADER. The mobile platform DROMADER, its control panel, and the simulator system (hardware and software) are described. The results of the 3D modelling and construction of physical models are included. Graphical models using 3dsMax software from a CAD model and the mechanical part developed using Vortex Editor are discussed. Two tests conducted with the participants divided into two groups is undertaken. The first operated the DROMADER robot without previous training on the simulator, the second went through simulator training before operating the robot. The trial was composed to test driving and the manipulation operators’ abilities. The results of effectiveness test are discussed.

Knowledge Based Reverse Engineering Methodology

2012 ◽  
Author(s):  
Sébastien Remy ◽  
Florent Laroche ◽  
Alexandre Durupt ◽  
Alain Bernard
Keyword(s):  
Reverse Engineering ◽  
3D Model ◽  
Geometrical Model ◽  
Free Form ◽  
Cad Model ◽  
Technical Object ◽  
Knowledge Based ◽  
Past Life ◽  
Functional Features ◽  
Free Form Surfaces

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.

scholarly journals Laws of the iterated logarithm on covering graphs with groups of polynomial volume growth

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Ryuya Namba
Keyword(s):  
Random Walks ◽  
Quadratic Forms ◽  
Volume Growth ◽  
Moderate Deviation ◽  
Point Of View ◽  
Iterated Logarithm ◽  
Large Numbers ◽  
Geometric Point ◽  
Rate Functions ◽  
The Given

AbstractModerate deviation principles (MDPs) for random walks on covering graphs with groups of polynomial volume growth are discussed in a geometric point of view. They deal with any intermediate spatial scalings between those of laws of large numbers and those of central limit theorems. The corresponding rate functions are given by quadratic forms determined by the Albanese metric associated with the given random walks. We apply MDPs to establish laws of the iterated logarithm on the covering graphs by characterizing the set of all limit points of the normalized random walks.

Problem solving methods and knowledge systems: A personal journey to perceptual images as knowledge

2009 ◽  
Vol 23 (4) ◽  
pp. 331-338
Author(s):  
B. Chandrasekaran
Keyword(s):  
Problem Solving ◽  
Cognitive Architecture ◽  
Mental Image ◽  
Spatial Relations ◽  
Point Of View ◽  
Design Strategies ◽  
Symbolic Form ◽  
Knowledge Based ◽  
High Level ◽  
Use Of Knowledge

AbstractI was among those who proposed problem solving methods (PSMs) in the late 1970s and early 1980s as a knowledge-level description of strategies useful in building knowledge-based systems. This paper summarizes the evolution of my ideas in the last two decades. I start with a review of the original ideas. From an artificial intelligence (AI) point of view, it is not PSMs as such, which are essentially high-level design strategies for computation, that are interesting, but PSMs associated with tasks that have a relation to AI and cognition. They are also interesting with respect to cognitive architecture proposals such as Soar and ACT-R: PSMs are observed regularities in the use of knowledge that an exclusive focus on the architecture level might miss, the latter providing no vocabulary to talk about these regularities. PSMs in the original conception are closely connected to a specific view of knowledge: symbolic expressions represented in a repository and retrieved as needed. I join critics of this view, and maintain with them that most often knowledge is not retrieved from a base as much as constructed as needed. This criticism, however, raises the question of what is in memory that is not knowledge as traditionally conceived in AI, but can support theconstructionof knowledge in predicate–symbolic form. My recent proposal about cognition and multimodality offers a possible answer. In this view, much of memory consists of perceptual and kinesthetic images, which can be recalled during deliberation and from which internal perception can generate linguistic–symbolic knowledge. For example, from a mental image of a configuration of objects, numerous sentences can be constructed describing spatial relations between the objects. My work on diagrammatic reasoning is an implemented example of how this might work. These internal perceptions on imagistic representations are a new kind of PSM.

Teach the Children Well

2017 ◽  
Vol 14 (6) ◽  
pp. 734-760
Author(s):  
Michelle Mason
Keyword(s):  
Good Life ◽  
Point Of View ◽  
Living Well ◽  
Ethical Virtue ◽  
Good For

What connection is there between living well, in the sense of living a life of ethical virtue, and faring well, in the sense of living a life good for the agent whose life it is? Defenses of a connection between exercising the virtues and living a good life often display two commitments: first, to addressing their answer to the person whose life is in question and, second, to showing that virtue is what I call a reliability conferring property. I challenge both commitments. I propose we take up the question from the dialogical point of view implicit in contexts where one person (an “ethical trustee”) is charged with the care of the character of another (an “ethical trustor”) and argue that virtue is what I call a status conferring property. Ethical trustees benefit their trustors by inculcating the virtues because in doing so they bestow on them a status that is necessary for a good life.

Dynamics of Multibody Systems: Generalized Mass Metric in Riemannian Velocity Space and Recursive Momentum Formulation

2007 ◽  
Author(s):  
Qiang Zhao ◽  
Hong Tao Wu
Keyword(s):  
Point Of View ◽  
Velocity Space ◽  
Motion Equations ◽  
Closed Loop Systems ◽  
Dynamics Of Multibody Systems ◽  
Operator Factorization ◽  
Geometric Point ◽  
Mass Tensor ◽  
Generalized Momentum ◽  
Serial Chains

This paper describes two aspects of multibody system (MBS) dynamics on a generalized mass metric in Riemannian velocity space and recursive momentum formulation. Firstly, we present a detailed expression of the Riemannian metric and operator factorization of a generalized mass tensor for the dynamics of general-topology rigid MBS. The derived expression allows a clearly understanding the components of the generalized mass tensor, which also constitute a metric of the Riemannian velocity space. It is being the fact that there does exist a common metric in Lagrange and recursive Newton-Euler dynamic equation, we can determine, from the Riemannian geometric point of view, that there is the equivalent relationship between the two approaches to a given MBS. Next, from the generalized momentum definition in the derivation of the Riemannian velocity metrics, recursive momentum equations of MBS dynamics are developed for progressively more complex systems: serial chains, topological trees, and closed-loop systems. Through the principle of impulse and momentum, a new method is proposed for reorienting and locating the MBS form a given initial orientation and location to desired final ones without needing to solve the motion equations.

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