Visual Occlusion Obstacle Detection Model based on Finite Element Analysis in Virtual Environment

2019 ◽  
Author(s):  
Qidi Zhou ◽  
Dong Zhou ◽  
Shunfeng Mei ◽  
Aimin Hao
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Virtual Environment ◽  
Obstacle Detection ◽  
Element Analysis ◽  
Detection Model ◽  
Model Based ◽  
Visual Occlusion

Multibody Dynamic Analysis of Automobile Wiper Based on Virtual Prototype

2011 ◽  
Vol 58-60 ◽  
pp. 1608-1613
Author(s):  
Gang Huang ◽  
Yuan Ming Long ◽  
Jin Hang Li
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Dynamic Analysis ◽  
Virtual Environment ◽  
Mechanical Engineering ◽  
Virtual Prototype ◽  
Virtual Model ◽  
Analysis Software ◽  
Element Analysis ◽  
Multibody Dynamic

Virtual prototype plays an important role in agile designing and manufacturing. Finite Element Analysis and multibody analysis software can also assist engineers with developing and analyzing sophisticated machines. In this paper, a virtual model of an automobile wiper is modeled and used to be simulated under virtual environment of ADAMS, which is a famous tool in mechanical engineering. After simulation, the vibration and noise that the wiper works with have been found and some suggestions are given in discussion and conclusion.

A physical modeling assistant for the preliminary stages of finite element analysis

1993 ◽  
Vol 7 (4) ◽  
pp. 275-286 ◽  
Author(s):  
Donal P. Finn
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Physical Modeling ◽  
Convection Heat Transfer ◽  
Heat Transfer Analysis ◽  
Case Based Reasoning ◽  
Element Analysis ◽  
Physical Systems ◽  
Model Based ◽  
Model Complex

This paper describes work in progress aimed at developing an interactive modeling tool that assists engineers with the task of physical modeling in finite element analysis. Physical modeling precedes the numerical simulation phase of finite element analysis and involves applying modeling idealizations to real world physical systems so that complex engineering problems are more amenable to numerical computation. In the paper, the nature of physical modeling is explored, a cognitive model of how engineers are thought to model complex problems is described and based on this model a knowledge-based modeling assistant is proposed. The AI approach taken is based on Chandrasekaran's propose-critique-modify design model adapted for the task of physical modeling. Within this framework, the AI paradigms of case-based reasoning, derivational analogy and model-based reasoning are exploited. By representing fundamental thermal modeling scenarios as cases, complex physical systems can be modeled in a piecewise fashion. Derivational analogy permits generative adaptation of retrieved cases by using model-based engineering traces thereby providing a basis for critiquing case solutions. An initial prototype is described which has been implemented for the domain of convection heat transfer analysis.

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