Hostname: page-component-cb9f654ff-rkzlw Total loading time: 0 Render date: 2025-08-22T23:52:03.526Z Has data issue: false hasContentIssue false
  • English
  • Français

AN ANALYTICAL COST MODEL FOR INVESTMENT CASTING

Part of: Design Methods

Published online by Cambridge University Press:  11 June 2020

M. Mandolini ,
F. Campi ,
C. Favi ,
P. Cicconi  and
M. Germani
M. Mandolini*
Affiliation:
Università Politecnica delle Marche, Italy
F. Campi
Affiliation:
Università Politecnica delle Marche, Italy
C. Favi
Affiliation:
University of Parma, Italy
P. Cicconi
Affiliation:
Università Politecnica delle Marche, Italy
M. Germani
Affiliation:
Università Politecnica delle Marche, Italy
*
*m.mandolini@univpm.it

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Analytical cost estimation of investment casted products during design phase is a complex task since the quantity of parameters to be evaluated. So far, there is a short literature on such cost estimation models. This paper attempts to improve the cost model presented by Boothroyd and Dewhurst. Improvements (mainly focused on cluster assembly and investment, sintering and melting phases) were defined and verified in cooperation with two foundries. Tested on eight components, deviation between estimated and actual costs is around 14% for manual production lines and 6% for automatic ones.

Keywords

design for x (DfX)design costingprocess modellinginvestment castingcost estimation

Information

Type
Article
Information
Proceedings of the Design Society: DESIGN Conference , Volume 1 , May 2020 , pp. 987 - 996
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2020. Published by Cambridge University Press

References

Arundacahawat, P., Roy, R. and Al-Ashaab, A. (2013), “An analogy based estimation framework for design rework efforts”, Journal of Intelligent Manufacturing, Vol. 24 No. 3, pp. 625–639. https://doi.org/0.1007/s10845-011-0605-6CrossRefGoogle Scholar
Boothroyd, G., Dewhurst, P. and Knight, W.A. (2011), “Product Design For Manufacture and Assembly”, 3rd Edition CRC Press.CrossRefGoogle Scholar
Boothroyd, G. and Radovanovic, P. (1989), “Estimating the Cost of Machined Components During the Conceptual Design of a Product”, CIRP Annals, Vol. 38 No. 1, pp. 157–160. https://doi.org/10.1016/S0007-8506(07)62674-2CrossRefGoogle Scholar
Campi, F. et al. (2019), “Using design geometrical features to develop an analytical cost estimation method for axisymmetric components in open-die forging”, Procedia CIRP, Vol. 84, pp. 656–661. https://doi.org/10.1016/j.procir.2019.04.324CrossRefGoogle Scholar
Chronister, T.G. (1975), “The Cost of making castings”, Casting Engineering, Vol. 7 No. 4, pp. 8–11.Google Scholar
Creese, R. and Adithan, M. (1992), “Estimating and Costing for the Metal Manufacturing Industries”, 1st Edition CRC Press. https://doi.org/10.1201/9780429246654CrossRefGoogle Scholar
Das, S.K., Datla, V. and Samir, G. (2000), “DFQM - An approach for improving the quality of assembled products”, Int. J. Product Res, Vol. 38 No. 2, pp. 457–477. https://doi.org/10.1080/002075400189527CrossRefGoogle Scholar
Duverlie, P. and Castelain, J.M. (1999), “Cost estimation during design step: parametric method versus case based reasoning method”, International Journal of Advanced Manufacturing Technology, Vol. 15 No. 12, pp. 895–906. https://doi.org/10.1007/s001700050147CrossRefGoogle Scholar
Fagade, A. and Kazmer, D. (2000), “Early cost estimation of injection molded components”, Journal of Injection Molding Technology, Vol. 4 No. 3, pp. 97–106.Google Scholar
Farineau, T. et al. (2001), “Use of parametric models in an economic evaluation step during the design phase” International Journal of Advanced Manufacturing Technology, Vol. 17 No. 2, pp. 79–86. https://doi.org/10.1007/s001700170195CrossRefGoogle Scholar
Favi, C., Germani, M. and Mandolini, M. (2017), “Analytical Cost Estimation Model in High Pressure Die Casting”, Procedia Manufacturing, Vol 11, pp. 526–535. https://doi.org/10.1016/j.promfg.2017.07.146CrossRefGoogle Scholar
García-Crespo, Á. et al. (2011), “A review of conventional and knowledge based systems for machining price quotation”, Journal of Intelligent Manufacturing, Vol. 22 No. 6, pp. 823–841. https://doi.org/10.1007/s10845-009-0335-1CrossRefGoogle Scholar
Jung, J.Y. (2002), “Manufacturing cost estimation for machined parts based on manufacturing features”, Journal of Intelligent Manufacturing, Vol. 13 No. 4, pp. 227–238. https://doi.org/10.1023/A:1016092808320CrossRefGoogle Scholar
Kulkarni, A. (1988), “Cost control in foundries through innovation”, Indian Foundry Journal, Vol. 34 No. 1, pp. 21–25.Google Scholar
Luong, L. and Spedding, T. (1995), “An integrated system for process planning and cost Estimation in hole making” International Journal of Advanced Manufacturing Technology, Vol. 10 No. 6, pp. 411–415. https://doi.org/10.1007/BF01179405CrossRefGoogle Scholar
Maciol, A. (2017), “Knowledge-based methods for cost estimation of metal casts”, International Journal of Advanced Manufacturing Technology, Vol. 91 No. 1-4, pp. 641–656. https://doi.org/10.1007/s00170-016-9704-zCrossRefGoogle Scholar
Martinelli, I. et al. (2019), “Cost Estimation Method for Gas Turbine in Conceptual Design Phase”, Procedia CIRP, Vol. 84, pp. 650–655. https://doi.org/10.1016/j.procir.2019.04.311CrossRefGoogle Scholar
Niazi, A. et al. (2005), “Product Cost Estimation: Technique Classification and Methodology Review” Journal of Manufacturing Science and Engineering, Vol. 128 No. 2, pp. 563–575. https://doi.org/10.1115/1.2137750CrossRefGoogle Scholar
Ou-Yang, C. and Lin, T.S. (1997), “Developing an Integrated Framework for Feature-Based Early Manufacturing Cost Estimation” International Journal of Advanced Manufacturing Technology, Vol. 13 No. 9, pp. 618–629. https://doi.org/10.1007/BF01350820CrossRefGoogle Scholar
Pattnaik, S., Karunakar, B.D. and Jha, P.K. (2012), “Developments in investment casting process—A review” Journal of Materials Processing Technology, Vol. 212 No. 11, pp. 2332–2348. https://doi.org/10.1016/j.jmatprotec.2012.06.003CrossRefGoogle Scholar
Rush, C. and Roy, R. (2001), “Expert judgement in cost estimating: modelling the reasoning process” Concurrent Engineering, Vol. 9 No. 4, pp. 271–284. https://doi.org/10.1177/1063293X0100900404CrossRefGoogle Scholar
Sajid, M. et al. (2018), “Manufacturing feature-based cost estimation of cast parts” China foundry, Vol. 15 No. 6, pp. 464–469. https://doi.org/10.1007/s41230-018-8084-4CrossRefGoogle Scholar
Shehab, E.M. and Abdalla, H.S. (2002), “An Intelligent Knowledge-Based System for Product Cost Modeling”, International Journal of Advanced Manufacturing Technology, Vol. 191 No. 1, pp. 49–65. https://doi.org/10.1007/PL00003967CrossRefGoogle Scholar
Sohlenius, G. (1992), “Concurrent Engineering”. CIRP Annals - Manufacturing Technology, Vol. 41 No. 2, pp. 645–655. https://doi.org/10.1016/S0007-8506(07)63251-XCrossRefGoogle Scholar
Ulrich, K.T. and Eppinger, S.D. (2003), “Product Design and Development”, Third Edition, McGraw-Hill Inc., USA.Google Scholar
Verlinden, B. et al. (2008), “Cost estimation for sheet metal parts using multiple regression and artificial neural networks: A case study” International Journal of Production Economics, Vol. 111 No. 2, pp. 484–492. https://doi.org/10.1016/j.ijpe.2007.02.004CrossRefGoogle Scholar
Wang, H., Zhou, X.H. and Ruan, X.Y. (2003), “Research on injection mould intelligent cost estimation system and key technologies”, International Journal of Advanced Manufacturing Technology, Vol. 21 No. 3, pp. 215–222.CrossRefGoogle Scholar