Hostname: page-component-78c5997874-dh8gc Total loading time: 0 Render date: 2024-11-10T08:23:32.644Z Has data issue: false hasContentIssue false
  • English
  • Français

Autofix – Automated Design of Fixtures

Published online by Cambridge University Press:  26 May 2022

S. Nambiar ,
A. P. Albert ,
V. V. R. C. Rimmalapudi ,
V. Acharya ,
M. Tarkian  and
H. Kihlman
S. Nambiar*
Affiliation:
Linköping University, Sweden
A. P. Albert
Affiliation:
Linköping University, Sweden
V. V. R. C. Rimmalapudi
Affiliation:
Linköping University, Sweden
V. Acharya
Affiliation:
Linköping University, Sweden
M. Tarkian
Affiliation:
Linköping University, Sweden
H. Kihlman
Affiliation:
Prodtex AB, Sweden
*
sanjay.nambiar@liu.se

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.

This paper presents a framework to develop the automated design of fixtures using the combination of design automation (DA), multidisciplinary optimization and robotic simulation. MDO necessitates the use of concurrent and parametric designs which are created by DA and knowledge-based engineering tools. This approach is designed to decrease the time and cost of the fixture design process by increasing the degree of automation. AutoFix provides methods and tools for automatically optimizing resource-intensive fixture design utilizing digital tools from different disciplines.

Keywords

design automationdesign optimisationknowledge-based engineering (KBE)fixturesrobotic simulation
Type
Article
Information
Proceedings of the Design Society , Volume 2: DESIGN2022 , May 2022 , pp. 543 - 552
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), 2022.

References

Barati, R. (2011). Parameter Estimation of Nonlinear Muskingum Models Using Nelder-Mead Simplex Algorithm. Journal of Hydrologic Engineering, 16(11), 946–954. https://dx.doi.org/10.1061/(ASCE)HE.1943-5584.0000379CrossRefGoogle Scholar
Caggiano, A., & Teti, R. (2018). Digital factory technologies for robotic automation and enhanced manufacturing cell design. (D. Pham, Ed.) Cogent Engineering, Vol. 5(No. 1). doi:10.1080/23311916.2018.1426676CrossRefGoogle Scholar
Craig, B. C., & Pinfold, M. (2001). The application of knowledge based engineering approach to the rapid design and analysis of automotive structure. Journal of Advances in Engineering Software, Vol. 32(No. 12), 905-907. doi:10.1016/S0965-9978(01)00041-2Google Scholar
Elgh, F. (2012). Decision support in the quotation process of engineered-to-order products. Advanced Engineering Informatics, Vol. 26 (No. 1), 66-79. doi:10.1016/j.aei.2011.07.001Google Scholar
Farhan, U. H. (2013). An integrated computer-aided modular fixture design system for machining semi-circular parts. Retrieved from https://ro.ecu.edu.au/theses/555Google Scholar
Frank, G, Entner, D, Prante, T, Khachatouri, V, Schwarz, M. (2014). “Towards a generic framework of engineering design automation for creating complex cad models”. International Journal on Advances in Systems and Measurements, Vol. 7(No. 1-2), 179-192.Google Scholar
Goldberg, D. E. (1989). Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley Publishing Company, Inc.Google Scholar
Heidar, Hashemi,Awaluddin, Mohamed Shaharoun, Izman S., (2014, December). Fixture Designers Guidance: A Review of Recent Advanced Approaches. Jordan Journal of Mechanical and Industrial Engineering, Vol. 8, 377–384.Google Scholar
Hollowell, W. T., Gabler, H. C., Stucki, S. L., Summers, S., & Hackney, J. R. (1998). Review of Potential Test Procedures for FMVSS NO.208. Office of Vehicle Safety Research.Google Scholar
Karl, T. Ulrich, Steven, D. Eppinger. (2016). Product Design and Development (6th ed.). New York: McGraw-Hill Education.Google Scholar
Karloff, H. (2009). The Simplex Algorithm. Linear Programming, 23-47. doi:10.1007/978-0-8176-4844-2_2CrossRefGoogle Scholar
Konak, A., Coit, D. W., & Smith, A. E. (2006). Multi-objective optimization using genetic algorithms: A tutorial. Reliability Engineering and System Safety, 992-1007.Google Scholar
Kršulja, M., Barišić, B., & Kudlaček, J. (2009). Assembly Setup for Modular Fixture Machining Process. Advanced Engineering.Google Scholar
La Rocca, Gianfranco. (2012). “Knowledge based engineering: Between Al and CAD. Review of a language based. Advanced Engineering Informatics, Vol. 26, pp. 159–179. doi:10.1016/i.aei.2012.02.002CrossRefGoogle Scholar
Cederfeldt, M., Elgh, F.. (2005). Design automation in SMEs-Current state, potential, need and requirement. International Conference on Engineering Design (pp. 1507–1521). Melbourne: Engineers Australia. Retrieved from https://search.informit.org/doi/10.3316/INFORMIT.390095181685561Google Scholar
Mihaylov, O. (2019). Determining the Positions of the Elements for the 3-2-1 Principle of Location in a Solidworks Add-in. 12th International Scientific and Practical Conference, Vol. 3, pp. 160-165. Rezekne. https://dx.doi.org/10.17770/etr2019vol3.4138Google Scholar
Mikael, C. (2007). Planning Design Automation A structured Method and Supporting Tools. Göteborg, Sweden: Chalmers University of Technology, Product and Production Development.Google Scholar
Nee, A. Y., Kumar, A. S., & Tao, Z. J. (2004). An Advanced Treatise on Fixture Design and Planning (Vol. Vol. 1). Singapore: Series on Manufacturing Systems and Technology. doi:10.1142/5671CrossRefGoogle Scholar
Poles, S. (2003). Technical Report 2003-005, The SIMPLEX Method. ESTECO .Google Scholar
Pradeep, S.A, Iye, R., Kazan, H., Pillai, S. (2017). Automotive Applications of Plastics: Past, Present and Future (2nd ed.). Applied Plastics Engineering Handbook. doi:10.1016/B978-0-323-39040-8.00031-6Google Scholar
Siddique, Z., & Yanjiang, Z. (2002). Automatic Generation of Product Family Member CAD Models Supported by a Platform Using a Template Approach. Montreal, Canada: Proceedings of DETCO 2: ASME Design Engineering Technical Conferences.Google Scholar
Sunnersjö, S. (1994). AID-Features: A New Tool for Design Automation. Proceedings of CACD94: Lancaster International Workshop on Engineering Design (pp. 241–258). Lancaster: Lancaster University Engineering Design Center.Google Scholar
Tarkian, M. (2012). Design Automation for Multidisciplinary Optimization : A High level CAD Template Approach. Linköping: Linköping Studies in Science and Technology. Dissertations, No. 1479.Google Scholar
Tomiyama, T., & Hew, K. P. (1998). Knowledge Intensive Computer Aided Design: Past, Present and Future. Knowledge Intensive Computer Aided Design, IFIP TC 5 WG5.2 Third Workshop on Knowledge Intensive CAD, (pp. 3–18). Tokyo. doi:10.1007/978-0-387-35582-5_1Google Scholar
Wang, J., Chang, Q., Xiao, G., Wang, N., & Li, S. (2011, September). Data driven production modeling and simulation of complex automobile general assembly plant. Computers in History, Vol. 62 (No. 7), 765-775. doi:10.1016/j.compind.2011.05.004Google Scholar
Wehlin, C. (2021). Optimization-Based Configurators in the Product Development Process. Linköping: Department of Management and Engineering, Linköping University.CrossRefGoogle Scholar