Engineering Objective Controls Knowledge Driven Product Definition in Industrial Product Development

Abstract:

High information content of integrated engineering activities stimulated development of product modeling during the past decades in order to support information management for lifecycle of products. Mechatronics is one of the engineering areas those require integrated product development techniques with strong knowledge based modeling and simulation in their background. The authors of this paper analyzed product modeling advancements in industrially applied product lifecycle management (PLM) systems in order to conceptualize new method to enhance knowledge content in product model. As a result of this analysis, they proposed a new method for control of product definition which extends the existing control in current PLM systems. This method is a contribution to solution for problems in current product modeling and is called as coordinated request based product modeling (CRPM). CRPM applies actual requested product definition (ARPD) as extension to currently applied product model. In this paper, the new method and entities as well as engineering objective definition and product behavior handling are explained as main contributions by the proposed modeling.

• Periodical: Applied Mechanics and Materials (Volumes 300-301)
• Pages: 1494-1499
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.300-301.1494
• Online since: February 2013
• Authors: László Horváth, Imre J. Rudas
• Keywords: Objective Controlled Product Feature Definition, Product Lifecycle Management, Product Model, Product Object Definition

References

[1] W. Gielingh: An assessment of the current state of product data technologies. Computer-Aided Design, Vol. 40, No. 7 (2008), pp.750-759.

DOI: 10.1016/j.cad.2008.06.003

[2] J. Stark: Product Lifecycle Management: 21st Century Paradigm for Product Realisation. Birkhäuser (2004).

DOI: 10.1007/978-0-85729-546-0

[3] S. H. Choiand H. H. Cheunga: A versatile virtual prototyping system for rapid product development. Computers in Industry. Vol. 59, No. 5 (2008), pp.477-488.

DOI: 10.1016/j.compind.2007.12.003

[4] P. J. Clarkson, C. Simons, and C. Eckert: Predicting Change Propagation in Complex Design. Journal of Mechanical Design. Vol. 126, No. 5 (2004), pp.788-797.

DOI: 10.1115/1.1765117

[5] B. -T. Lin, and S. -H. Hsua: Automated design system for drawing dies. Expert Systems with Applications, Vol. 34, No. 3 (2008), pp.1586-1598.

DOI: 10.1016/j.eswa.2007.01.024

[6] N. Cross: Expertise in design: an overview. Design Studies, Vol. 25, No. 5, (2004), pp.427-441.

[7] L. Horváth and I. J. Rudas: Modeling and Problem Solving Methods for Engineers. Elsevier, Academic Press (2004).

[8] L. Horváth and I. J. Rudas: Knowledge Technology for Product Modeling, Chapter 5 of the book Knowledge in Context – Few Faces of the Knowledge Society. Walters Kluwer (2010), pp.113-137.

[8] L. Horváth, I. J. Rudas: Human Intent Description in Environment Adaptive Product Model Objects. Journal of Advanced Computational Intelligence and Intelligent Informatics. Vol. 9, No. 4 , (2005), pp.415-422.

DOI: 10.20965/jaciii.2005.p0415

[10] L. Horváth: A New Method for Enhanced Information Content in Product Model. WSEAS Transactions on Information Science and Applications, Vol. 5, No. 3 (2008), pp.277-285.

[11] L. Horváth: "Supporting Lifecycle Management of Product Data by Organized Descriptions and Behavior Definitions of Engineering Objects. Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 9, No. 11 (2007).

DOI: 10.20965/jaciii.2007.p1107