Abstract
The cam die is one of the most complicated types of automotive panel stamping dies. It is hard to achieve parametric and automated design of the non-standard cam, which determines the quality and cost of die design. The cam design process is extremely complex and requires a great deal of professional knowledge. A new design system for non-standard cams based on the feature reuse and group assembly technology was researched and developed in this paper for automotive panel dies. Taking the advantage of the well-organized historical knowledge base and features database of non-standard cam design cases and the seamless integration with the NX platform, the system was able to generate designs of the die substructure with cam in the form of assembly, including the driver, slider, stripper, cam base, and types of standard components such as nitrogen cylinders, guide plates, stopper seats, return hooks, safety pulling plates, and other parts. Finally, an engineering example of a cam trimming die for body side outer panel verified the feasibility and validity of this system. Comparisons with different design methods demonstrate that the newly developed system shows excellent performance in the design of complex non-standard cams for automotive panels.
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References
Azamirad, G., & Arezoo, B. (2016). Structural design of stamping die components using bi-directional evolutionary structural optimization method. International Journal of Advanced Manufacturing Technology, 87(1–4), 969–979. https://doi.org/10.1007/s00170-016-8344-7.
Bakar, N. H., Kasirun, Z. M., Salleh, N., & Jalab, H. A. (2016). Extracting features from online software reviews to aid requirements reuse. Applied Soft Computing, 49, 1297–1315. https://doi.org/10.1016/j.asoc.2016.07.048.
Berger, T., Rublack, R., Nair, D., Atlee, M., Becker, M., Czarnecki, K., et al. (2013). A survey of variability modeling in industrial practice. https://doi.org/10.1145/2430502.2430513.
Bodein, Y., Rose, B., & Caillaud, E. (2014). Explicit reference modeling methodology in parametric CAD system. Computers in Industry, 65(1), 136–147. https://doi.org/10.1016/j.compind.2013.08.004.
Butdee, S., Noomtong, C., & Tichkiewitch, S. (2009). A process planning system with feature based neural network search strategy for aluminum extrusion die manufacturing. Computer Science, 2(1), 137–157.
Camba, J. D., Contero, M., & Company, P. (2016). Parametric CAD modeling: An analysis of strategies for design reusability. Computer-Aided Design, 74, 18–31. https://doi.org/10.1016/j.cad.2016.01.003.
Ghatrehnaby, M., & Arezoo, B. (2012). Automatic strip layout design in progressive dies. Journal of Intelligent Manufacturing, 23(3), 661–677. https://doi.org/10.1007/s10845-010-0417-0.
Giovannini, A., Aubry, A., Panetto, H., Haouzi, H. E., Junior, O. C., & Pierrel, L. (2016). Knowledge representation, retrieval and reuse for product family design: An anti-logicist approach. Computers & Industrial Engineering, 101, 391–402. https://doi.org/10.1016/j.ress.2016.08.017.
Gok, A. (2015). A new approach to minimization of the surface roughness and cutting force via fuzzy TOPSIS, multi-objective grey design and RSA. Measurement, 70, 100–109. https://doi.org/10.1016/j.measurement.2015.03.037.
Gok, A., Gologlu, C., & Demirci, H. I. (2013). Cutting parameter and tool path style effects on cutting force and tool deflection in machining of convex and concave inclined surfaces. International Journal of Advanced Manufacturing Technology, 69(5–8), 1063–1078. https://doi.org/10.1007/s00170-013-5075-x.
Hussein, H. M. A. (2014). Computer aided blanking die design using CATIA. Procedia CIRP, 18, 96–101. https://doi.org/10.1016/j.procir.2014.06.114.
Hussein, H. M. A., Kumar, S., & Abouel-Nasr, E. S. (2016). Computer aided design and simulation of strip layout for progressive die planning using petri-net. Advances in Mechanical Engineering, 8(4), 1687814016644385. https://doi.org/10.1177/1687814016644385.
Issa, H., Ostrosi, E., Lenczner, M., & Habib, R. (2017). Fuzzy holons for intelligent multi-scale design in cloud-based design for configurations. Journal of Intelligent Manufacturing, 28(5), 1219–1247. https://doi.org/10.1007/s10845-015-1119-4.
Jeang, A. (2015). Robust product design and process planning in using process capability analysis. Journal of Intelligent Manufacturing, 26(3), 459–470. https://doi.org/10.1007/s10845-013-0802-6.
Li, G., Long, X., Zhou, M., Xiong, H., & Wang, W. (2017). A geometric feature-based design system of full parametric association modeling of standard cam for automotive stamping. International Journal of Advanced Manufacturing Technology. https://doi.org/10.1007/s00170-017-0421-z.
Lin, B. T., Huang, K. M., Su, K. Y., & Hsu, C. Y. (2013). Development of an automated structural design system for progressive dies. International Journal of Advanced Manufacturing Technology, 68(5–8), 1887–1899. https://doi.org/10.1007/s00170-013-4986-x.
Liu, X., Li, Q., Liu, Y., & Yin, J. (2011). Development of a rapid design system for aerial work truck subframe with ug secondary development framework. Procedia Engineering, 15, 2961–2965. https://doi.org/10.1016/j.proeng.2011.08.557.
Moghaddam, M. J., Soleymani, M. R., & Farsi, M. A. (2015). Sequence planning for stamping operations in progressive dies. Journal of Intelligent Manufacturing, 26(2), 347–357. https://doi.org/10.1007/s10845-013-0788-0.
Nakazawa, H. (2009). Next generation die design and manufacturing system “dynavista”. Journal of the Japan Society of Precision Engineering, 75(1), 142–143.
Naranje, V., & Kumar, S. (2014). A knowledge based system for automated design of deep drawing die for axisymmetric parts. Expert Systems with Applications, 41(4), 1419–1431. https://doi.org/10.1016/j.eswa.2013.08.041.
Potocnik, D., Dolsak, B., & Ulbin, M. (2013). GAJA: 3D CAD methodology for developing a parametric system for the automatic (re)modeling of the cutting components of compound washer dies. Journal of Zhejiang University Science A, 14(5), 327–340. https://doi.org/10.1631/jzus.A1200245.
Roj, R. (2014). A comparison of three design tree based search algorithms for the detection of engineering parts constructed with CATIA V5 in large databases. Journal of Computational Design & Engineering, 1(3), 161–172. https://doi.org/10.7315/JCDE.2014.016.
Tang, H., Li, X., Guo, S., Liu, S., Li, L., & Huang, L. (2015). An optimizing model to solve the nesting problem of rectangle pieces based on genetic algorithm. Journal of Intelligent Manufacturing. https://doi.org/10.1007/s10845-015-1067-z.
Vosniakos, G. C., & Giannakakis, T. (2013). A knowledge-based manufacturing advisor for pressworked sheet metal parts. Journal of Intelligent Manufacturing, 24(6), 1253–1266. https://doi.org/10.1007/s10845-012-0664-3.
Wei, G., Xia, Q., Zhang, S., Qiu, Z., & Ye, F. (2011). Layout design for high strength steel automotive structural parts based on UG-PDW. In International conference on mechanic automation & control engineering. IEEE, pp. 5882–5885. https://doi.org/10.1109/MACE.2011.5988371.
Wei, Y., Wang, Z., Zhang, Z., & Liu, Y. (2017). Robust methodology of automatic design for automobile panel drawing die based on multilevel modeling strategy. International Journal of Advanced Manufacturing Technology. https://doi.org/10.1007/s00170-017-0082-y.
Wu, J., & Wang, G. (2013). Cost evaluation on reuse of generic network service dies in three-dimensional integrated circuits. Microelectronics Journal, 44(2), 152–162. https://doi.org/10.1016/j.mejo.2012.08.007.
Zehtaban, L., Elazhary, O., & Roller, D. (2016). A framework for similarity recognition of CAD models. Journal of Computational Design & Engineering, 3(3), 274–285. https://doi.org/10.1016/j.jcde.2016.04.002.
Zhou, C., & Huang, Z. Y. (2008). A web-based intelligent stamping die design system. In International symposium on computational intelligence and design, Vol. 1. IEEE Computer Society, pp. 499–502. https://doi.org/10.1109/ISCID.2008.99.
Zhou, C., Feng, R., Xia, Q. X., & Huang, Z. Y. (2009). A fuzzy-rough case-based learning approach for intelligent die design. International Journal of Computer Applications in Technology, 35(2–4), 76–83. https://doi.org/10.1504/IJCAT.2009.026584.
Acknowledgements
This work is supported by National Natural Science Foundation of China (Grant Number 51505348), Open Research Fund of State Key Laboratory of Material Processing and Die & Mould Technology (Huazhong University of Science and Technology, Grant Number P2016-15), and Open Research Fund of the Key Laboratory of Metallurgical Equipment and Control technology of Education Ministry (Wuhan University of Science and Technology, Grant Number 2015B08). We express our thanks to Dongfeng Motor Die & Mould Co., Ltd for their great support during the project.
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Li, G., Long, X. & Zhou, M. A new design method based on feature reusing of the non-standard cam structure for automotive panels stamping dies. J Intell Manuf 30, 2085–2100 (2019). https://doi.org/10.1007/s10845-017-1368-5
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DOI: https://doi.org/10.1007/s10845-017-1368-5