Research on Knowledge-Based and Featured Mechanical Part Modeling

Wen Bo Zhu; Xin Ren Wu; Yi Gan; Long Chen

doi:10.4028/www.scientific.net/AMM.365-366.129

Paper Titles

Topology Optimization of Thermo-Mechanical Structure Using the Hybrid Celluar Automata Method
p.111

Research of Design Evaluation Method Based on the Jack Human Model
p.117

Parametric Human Body Model for Digital Apparel Design
p.121

Virtual Design of Rapid Sample Preparation Equipment for Textiles Based on SOLIDWORKS
p.125

Research on Knowledge-Based and Featured Mechanical Part Modeling
p.129

The Research of Reverse Engineering Based on Geomagic Studio
p.133

Parameter Mapping Method of the Skull Restoration Based on User Demand
p.137

Research on Injection Products Molding Defects Warping Based on Moldflow
p.141

Numerical Modeling of Fire Dynamic Behavior for a Five-Story Building
p.145

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 365-366Research on Knowledge-Based and Featured...

Research on Knowledge-Based and Featured Mechanical Part Modeling

Abstract:

Knowledge-based Engineering (KBE) should be introduced into the field of mechanical part modeling. The knowledge-based and featured mechanical part modeling is proposed based on the two layers of knowledge base. Features and process planning rules for mechanical parts are integrated and explicit knowledge and tacit knowledge are involved in this model. Explicit knowledge includes basic information, shape feature, precision feature, material feature and assemble feature, and tacit knowledge includes process rule-based reasoning and process feasibility analysis. The model proposed will help to the following process planning and play a very important role to improve the success rate of design mechanical parts. Finally a case study is conducted.

You might also be interested in these eBooks

Machine Design and Manufacturing Engineering II

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 365-366)

Pages:

129-132

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.365-366.129

Citation:

Cite this paper

Online since:

August 2013

Authors:

Wen Bo Zhu, Xin Ren Wu, Yi Gan, Long Chen

Keywords:

Feature, KBE, Mechanical Part Modeling, Process Feasibility Analysis, Process Planning Rules

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Carlos Alberto Costa, Marcos Alexandre Luciano, Celson Pantoja Lima, Robert I.M. Young. Assessment of a Product Range Model concept to support design reuse using rule based systems and case based reasoning. Advanced Engineering Informatics. 2012, 26(2): 292~305.

DOI: 10.1016/j.aei.2011.11.001

Google Scholar

[2] Suh-Jenq Yang, Dar-Li Yang. Single-machine scheduling simultaneous with position–based and sum-of-processing-times-based learning considerations under group technology assumption. Applied Mathematical Modelling. 2011, 35(5): 2068~(2074).

DOI: 10.1016/j.apm.2010.11.041

Google Scholar

[3] M. Pan and Y. Rao. An integrated knowledge based system for sheet metal cutting–punching combination processing. Knowledge-Based Systems 2009, 22: 368~375.

DOI: 10.1016/j.knosys.2009.02.008

Google Scholar

[4] D. Bespalova, W. C. Regli, Ali Shokoufandeh. Local feature extraction and matching partial objects. Computer-Aided Design, 2009, 38: 1020~1037.

DOI: 10.1016/j.cad.2006.07.005

Google Scholar

[5] Ramesh, M., Yip-Hoi, D., Dutta, D., Feature-based Shape Similarity Measurement for Retrieval of Mechanical Parts. Journal of Computing and Information Science in Engineering，2010, 11(3): 245~256.

DOI: 10.1115/1.1412456

Google Scholar