Abstract
This article is devoted to the collaboration of TRIZ function analysis and the engineering CAD software. The presented approach uses the TRIZ function modeling for the system development and improving, meanwhile, it uses the information from the CAD model in the initial source. The case study is illustrated by the industrial example. Its aim is the improving of the electromagnetic flow meter magnetic system the, created by means of the SolidWorks software. For process automatization the software, created in C# Microsoft Visual Studio by using the SolidWorks API tool. The suggested method proposes the formal mechanism based on the TRIZ methodology for the system developing and improving by means of the CAD model. This one may be used as in the conceptual design, so detail design stages and for patent-around design.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Ullman, D.: The Mechanical Design Process, 4th edn. McGraw-Hill, New York City (2010)
Pugh, S.: Creating Innovative Products: Using Total Design: The Living Legacy of Stuart Pugh. Addison-Wesley Publishers, Boston (1996)
Altshuller, G., Shapiro, R.: Psychology of inventive creativity. Issues Psychol. 6, 37–49 (1956)
Di Gironimo, G., Carfora, D., Esposito, G., et al.: Improving concept design of divertor support system for FAST tokamak using TRIZ theory and AHP approach. Fusion Eng. Des. 88, 3014–3020 (2013). doi:10.1016/j.fusengdes.2013.07.005
Chechurin, L.: TRIZ in science. Reviewing indexed publications. Proc. CIRP 39, 156–165 (2016). doi:10.1016/j.procir.2016.01.182
Jupp, M.L., Campean, I.F., Travcenko, J.: Application of TRIZ to develop an in-service diagnostic system for a synchronous belt transmission for automotive application. Proc. CIRP 11, 114–119 (2013). doi:10.1016/j.procir.2013.07.051
Yang, C.J., Chen, J.L.: Forecasting the design of eco-products by integrating TRIZ evolution patterns with CBR and simple LCA methods. Expert Syst. Appl. 39, 2884–2892 (2012). doi:10.1016/j.eswa.2011.08.150
Akiyama, K.: Function Analysis: Systematic Improvement of Quality and Performance. Productivity Press Inc., Cambridge (1991)
Cooke, J.: TRIZ-based modelling and value analysis of products as processes. In: Trizfuture 2015, pp. 1–11 (2015)
Systems Engineering Fundamentals. https://ocw.mit.edu/courses/aeronautics-and-astronautics/16-885j-aircraft-systems-engineering-fall-2005/readings
API Support. https://www.solidworks.com/sw/support/api-support.htm
Ullah, A.M.M.S., Sato, M., Watanabe, M., Rashid, M.M.: Integrating CAD, TRIZ, and customer needs. Int. J. Autom. Technol. 10, 132–143 (2016). doi:10.20965/ijat.2016.p0132
Chechurin, L.S., Wits, W.W., Bakker, H.M., Vaneker, T.H.J.: Introducing trimming and function ranking to SolidWorks based on functional analysis. In: Proceedings of the TRIZ Future Conference 2011, pp. 215–225 (2011)
Bakker, H.M., Chechurin, L.S., Wits, W.W.: Integrating TRIZ function modeling in CAD software. In: Proceedings of the TRIZfest-2011, p. 18 (2011)
Generative Design Software. Autodesk Within. http://www.autodesk.com/products/within/overview
Goldfire: Advanced Research, Problem Solving & Analytics. https://www.ihs.com/products/design-standards-software-goldfire.html
Ilevbare, I.M., Probert, D., Phaal, R.: A review of TRIZ, and its benefits and challenges in practice. Technovation 33, 30–37 (2013). doi:10.1016/j.technovation.2012.11.003
Li, M., Ming, X., He, L., et al.: A TRIZ-based trimming method for patent design around. CAD Comput. Aided Des. 62, 20–30 (2015). doi:10.1016/j.cad.2014.10.005
Ikovenko, S., Litvin, S., Lyubomirskiy, A.: Basic Training Course. GEN3 Partners, Boston (2005)
Efimov-Soini, N.K., Chechurin, L.S.: Method of ranking in the function model. Proc. CIRP 39, 22–26 (2016). doi:10.1016/j.procir.2016.01.160
Efimov-Soini, N., Chechurin, L., Renev, I., Elfvengren, K.: Method of time-dependent TRIZ function ranking. In: TRIZ Future Conference 2016: Systematic Innovation and Creativity (2016)
Efimov-Soini, N., Uzhegov, N.: The TRIZ-based tool for the electrical machine development. In: Progress in Electromagnetic Research Symposium (2017)
Gadd, K.: TRIZ for Engineers: Enabling Inventive Problem Solving, 1st edn. Wiley, Hoboken (2011)
Saaty, T.: The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York City (1980)
Efimov-Soini, N., Kozlova, M., Collan, M., Passi, L.: A multi-criteria decision-making tool with information redundancy treatment for design evaluation. In: Proceedings of NSAIS 2016 Workshop on Adaptive and Intelligent Systems, pp. 73–75 (2016)
Acknowledgments
Authors would like to acknowledge EU Erasmus plus program and its project Open Innovation Platform for University-Enterprise Collaboration: new product, business and human capital development (Acronym: OIPEC, Grant Agreement No.: 2015-3083/001-001) for the support.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Efimov-Soini, N., Chechurin, L. (2017). The Method of CAD Software and TRIZ Collaboration. In: Kravets, A., Shcherbakov, M., Kultsova, M., Groumpos, P. (eds) Creativity in Intelligent Technologies and Data Science. CIT&DS 2017. Communications in Computer and Information Science, vol 754. Springer, Cham. https://doi.org/10.1007/978-3-319-65551-2_38
Download citation
DOI: https://doi.org/10.1007/978-3-319-65551-2_38
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-65550-5
Online ISBN: 978-3-319-65551-2
eBook Packages: Computer ScienceComputer Science (R0)