Automatic generation of recognition strategies using CAD models

Author(s):  
F. Arman ◽  
J.K. Aggarwal
Author(s):  
Zahed Siddique ◽  
Yanjiang Zhou

Current global markets are volatile, where companies are striving to deliver greater quality, more customization, faster response, more innovative designs and lower prices. New models need to be introduced in the market more frequently, which has given momentum for designing family of products. Development of family of Products using a platform approach requires making decisions regarding platform selection and trade-off studies, which require analysis and evaluation of performance for the entire family instead of an individual products. One of the first steps in performing these activities require development of solid models for the entire family quickly and automatically as platform and family member configurations and size are changed. This paper presents an approach to automatically generate CAD models for a family of products. In the approach, a product family template that integrates configuration and parametric design information is presented. The template is implemented in the developed Product Family CAD (PF-CAD) module for Pro/E. A coffeemaker product family is used as a case study to automatically generate solid models of product family members from customer input.


2006 ◽  
Vol 6 (3) ◽  
pp. 308-314 ◽  
Author(s):  
Duhwan Mun ◽  
Heungki Kim ◽  
Kwangsub Jang ◽  
Junmyun Cho ◽  
Junhwan Kim ◽  
...  

Reusing existing design models and utilizing an e-Catalog for components are required for faster product development. For the acceleration, an e-Catalog should provide parametric computer aided design (CAD) models, since parametric information is necessary for configuration design. There are difficulties, however, in building a parametric library of all the necessary combinations using a CAD system, because there are too many component combinations for each product. To overcome this problem, we propose a table parametric method to generate parametric CAD models automatically, and describe its details.


Author(s):  
Subhanga Kishore Das ◽  
Sabyasachi Pattnaik

This paper describes a general method for automatic reconstruction of accurate, concise, piecewise smooth surfaces from unorganized 3D points. Instances of surface reconstruction arise in numerous scientific and engineering applications, including reverseengineering, the automatic generation of CAD models from physical objects etc. Previous surface reconstruction methods have typically required additional knowledge, such as structure in the data, known surface genus, or orientation information. In contrast, the method outlined in this paper requires only the 3D coordinates of the data points. From the data, the method is able to automatically infer the topological type of the surface, its geometry, and the presence and location of features such as boundaries, creases, and corners. The surface reconstruction method has three major phases: Initial surface estimation, Mesh optimization, and piecewise smooth surface optimization. In this paper emphasis has been given on the initial surface estimation.


Author(s):  
Jose Maria Rey Villazon ◽  
Toni Wildow ◽  
Robert Benton ◽  
Tobias Eydam ◽  
Arnold Kühhorn

The design and development process of an aero engine is a complex and time-consuming task that involves many disciplines and company departments with different objectives and requirements. Along the preliminary design phase, multiple concepts are assessed in order to select a competitive technology. The engine design process, which was traditionally subdivided into modular component tasks, is nowadays considered as a multi-disciplinary workflow. Having recognized the need for developing advanced turbine preliminary design tools, this work focuses on enhancing the integration of turbine design disciplines, improving the accuracy of models and speeding the time to generate models. The proposed process facilitates an automated turbine Secondary Air System (SAS) and turbine discs concept definition. Furthermore, the process of CAD models and flow network models generation is accelerated via automation of the engineering workflow. This is accomplished through a novel Java based data model, where the design of turbine discs and SAS features is captured in a programmable framework. In the application section, the preliminary design definition of a reference HP turbine subsystem is replicated using the newly developed common design environment. The automated workflow is then used to generate the corresponding CAD models, recognize the subsystem flow network, and generate the 1D flow network model. The results are then compared to the experimentally validated model of a reference engine. As conclusion, the automated workflow offers a quick and parametric model generation process, while providing a good level of fidelity for the preliminary design phase.


1999 ◽  
Vol 18 (3-4) ◽  
pp. 213-224
Author(s):  
D.T. Pham ◽  
S.S. Dimov ◽  
R.M. Setchi

Global competition, customer-driven product customisation, accelerated product obsolescence and continued demands for cost savings are forcing companies to look for new ways of working. Technology advances alone are no longer sufficient to deliver the required improvements to compete and survive in this new environment. Companies need to revise their traditional technologies in a way that allows previously serial engineering tasks to be done concurrently and creates the needed pre-requisites for collaborative working. Concurrent Engineering can be regarded as a form of process re-engineering and as the main enabling technology ensuring efficient operation of distributed enterprises. Concurrency in performing different design and manufacturing activities presents an opportunity to compress the overall product development time whilst opening up opportunities to be creative by providing more time for design iterations. This paper describes three different applications of Concurrent Engineering methodology that facilitate collaborative working and sharing and re-use of distributed engineering data. These are: – an approach for structuring manufacturing information and maximising the information-carrying capacity of 3D CAD models; – a system for analysing 3D assembly models and extracting assembly related data required for automatic generation of assembly strategies; – an approach for developing product support systems. All applications have been developed within the framework of EC-funded projects, in particular: Brite-Euram project CT92–0158 “Advanced Manufacturing Information System for the Designer (AMANIS)”, INCO-Copernicus project CP94–0510 “Advanced Robot Assembly (ROBAS)”, INCO-Copernicus project CP96–0231 “Intelligent Product Manuals (ProManual)” and ERDF (Industrial South Wales) technology demonstration project “Intelligent Product Manuals for SMEs”.


Author(s):  
Luisa Lugli ◽  
Stefania D’Ascenzo ◽  
Roberto Nicoletti ◽  
Carlo Umiltà

Abstract. The Simon effect lies on the automatic generation of a stimulus spatial code, which, however, is not relevant for performing the task. Results typically show faster performance when stimulus and response locations correspond, rather than when they do not. Considering reaction time distributions, two types of Simon effect have been individuated, which are thought to depend on different mechanisms: visuomotor activation versus cognitive translation of spatial codes. The present study aimed to investigate whether the presence of a distractor, which affects the allocation of attentional resources and, thus, the time needed to generate the spatial code, changes the nature of the Simon effect. In four experiments, we manipulated the presence and the characteristics of the distractor. Findings extend previous evidence regarding the distinction between visuomotor activation and cognitive translation of spatial stimulus codes in a Simon task. They are discussed with reference to the attentional model of the Simon effect.


Sign in / Sign up

Export Citation Format

Share Document