A Multi Autonomic Objects Flexible Workflow and its Knowledge Acquisition Supporting Engineering Design Process

Dong Bo Wang; Xiu Tian Yan; Ning Sheng Guo; Tao Li

doi:10.4028/www.scientific.net/AMR.97-101.3341

Paper Titles

Finite Element Static and Dynamic Analysis for a Piston
p.3323

4Ps Framework of Tooling Development and Management
p.3327

Experiment Study and Finite Element Analysis of the Failure for 75000 m³ Wet Gasholder
p.3332

KBCADFW: A Knowledge-Based Collaborative Computer-Aided Design Framework
p.3336

A Multi Autonomic Objects Flexible Workflow and its Knowledge Acquisition Supporting Engineering Design Process
p.3341

Thermodynamic Performance Simulation of Diesel EGR Cooler with Finned Tube
p.3345

Design of a Horizontal Moving Mechanism for High-Speed & High-Acceleration Stackers
p.3349

Hybrid Optimization Approach for Gas-Assisted Injection Molding Based on Metamodeling and Particle Swarm Algorithm
p.3353

Research on Numerical Investigation and Test Verification of Brake Performance in a Hydrodynamic Tractor-Retarder Assembly
p.3357

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 97-101A Multi Autonomic Objects Flexible Workflow and...

A Multi Autonomic Objects Flexible Workflow and its Knowledge Acquisition Supporting Engineering Design Process

Abstract:

In order to support the dynamic and creative Engineering Design Process (EDP) comprehensively, after a detailed literature review, a multi autonomic objects (AO) flexible workflow is applied into the supporting and management of EDP, its support for decision making, EDP evolution and design activity granularity is explained, finally and most importantly, a genetic algorithm-based AO knowledge learning method is proposed, the algorithm is demonstrated by a MATLAB simulation that it can satisfy the knowledge acquisition in EDP satisfactorily.

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Periodical:

Advanced Materials Research (Volumes 97-101)

Pages:

3341-3344

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.97-101.3341

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Online since:

March 2010

Authors:

Dong Bo Wang, Xiu Tian Yan, Ning Sheng Guo, Tao Li

Keywords:

Autonomic, Engineering Design Process, Knowledge Acquisition, Workflow

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