The Part Count Tool (PaCT) for Design Concept Selection
Tarang Parashar, Kerry Poppa, Katie Grantham Lough, Robert B. Stone
DOI: 10.4236/mme.2011.12003   PDF   HTML     5,516 Downloads   10,912 Views  


This paper presents a part count tool that predicts the part count for a particular product concept during the conceptual design phase. The part count tool will also aid in ranking the design concepts by the criterion of number of components for a product. This tool utilizes existing automated concept generation algorithms to generate the design concepts. It extracts the available data from the Design Engineering Lab Design Repository to determine an average number of parts per component type in the repository and then calculates an average part count for new concepts. The part count tool also uses an algorithm to determine how to connect two non-compatible components through the addition of mutually compatible components. While emphasis is placed on the average parts per product in evaluating designs, the overall functional requirement of the product is also considered.

Share and Cite:

T. Parashar, K. Poppa, K. Lough and R. Stone, "The Part Count Tool (PaCT) for Design Concept Selection," Modern Mechanical Engineering, Vol. 1 No. 2, 2011, pp. 13-24. doi: 10.4236/mme.2011.12003.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] [1] G. Boothroyd, P. Dewhurst and W. Knight, “Product Design for Manufacture and Assembly,” 2nd Edition, Marcel Dekker, New York, 2002.
[2] M. Bohm and R. Stone, “Representing Product Functionality to Support Reuse: Conceptual and Supporting Functions,” Proceedings of Design Engineering Technical, Salt Lake City, 28 September-2 October 2004.
[3] C. Bryant, R. Stone, D. Mcadams, T. Kurtoglu and M. Campbell, “Concept Generation from the Functional Basis of Design,” Proceedings of International Conference on Engineering Design ICED 05, Melbourne, 15-18 August 2005.
[4] T. Kurtoglu and M. Campbell, “Automated Synthesis of Electromechanical Design Configurations from Empirical Analysis of Function to Form Mapping,” Journal of Engineering Design, Vol. 20, No. 1, 2009, pp. 83-104.
[5] G. Pahl, W. Beitz, J. Feldhusen and K. H. Grote, “Engineering Design a Systematic Approach,” Springer-Verlag, London, 2007.
[6] K. Otto and K. Wood, “Product Design: Techniques in Reverse Engineering, Systematic Design, and New Product Development,” Prentice-Hall, New York, 2001.
[7] J. Hirtz, R. Stone, D. Mcadams, S. Szykman and K. Wood, “A Functional Basis for Engineering Design: Reconciling and Evolving Previous Efforts,” Research in Engineering Design, Vol. 13, No. 2, 2002, pp. 65-82.
[8] K. T. Ulrich and S. D. Eppinger, “Product Design and Development,” McGraw-Hill/Irwin, Boston, 2004.
[9] Ullman, D. G., 2002, The Mechanical Design Process 3rd Edition, McGraw-Hill, Inc., New York.
[10] M. Bohm, R. Stone and S. Szykman, “Enhancing Virtual Product Representations for Advanced Design Repository Systems,” Journal of Computer and Information Science in Engineering, Vol. 5, No. 4, 2005, pp. 360-372.
[11] M. R. Bohm, R. B. Stone, T. W. Simpson and E. D. Steva, “Introduction of a Data Schema: The Inner Workings of a Design Repository,” Proceedings of ASME International Design Engineering Technical Conferences, Philadelphia, 10-13 September 2006.
[12] C. Bryant, D. Mcadams, R. Stone, T. Kurtoglu and M. Campbell, “A Computational Technique for Concept Generation,” Proceedings of ASME Design Engineering Te- chnical Conferences, Long Beach, 24-28 September 2005.
[13] V. Hubka and W. Ernst-Eder, “Theory of Technical Systems,” Springer-Verlag, Berlin, 1984.
[14] L. Schmidt and J. Cagan, “Ggreada: A Graph Grammar-Based Machine Design Algorithm,” Research in Engineering Design, Vol. 9, No. 4, 1997, pp. 195-213.
[15] A. Ward and W. Seering, “Quantitative Inference in a Mechanical Design ‘Compiler’,” Journal of Mechanical Design, Vol. 115, No. 1, 1993, pp. 29-35.
[16] A. Ward, “A Theory of Quantitative Inference for Artifact Sets Applied to a Mechanical Design Compiler,” Doctor of Science Massachusetts Institute of Technology, 1989.
[17] V. Rajagopalan, C. R. Bryant, J. Johnson, D. Mcadams, R. Stone, T. Kurtoglu and M. Campbell, “Creation of Assembly Models to Support Automated Concept Generation,” Proceedings of ASME Design Engineering Technical Conferences, Long Beach, 24-28 September 2005.

Copyright © 2023 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.