Computer Aided Design of Manufacturing of Fasteners - Selection of the Best Production Chain

Abstract:

Computer aided design of the manufacturing technology for the fasteners is presented the paper. The particular objectives of the work were twofold. The first objective is evaluation of applicability of various materials for fasteners. Analysis of different technological variants is the second objective of the research. In the material part, bainitic steels are considered as an alternative for the commonly used carbon-manganese steels. This is a continuation of [1,2]. Possibility of elimination of the heat treatment was evaluated. Main features of the new generation of bainitic steels are discussed briefly in the paper. Rheological models for all steels investigated in the project were developed. The models were implemented into the finite element code for simulations of drawing and multi stage forging. Simulations of various variants of manufacturing chain were performed and the best alternative was selected. Criteria for the selection composed dimensional accuracy and tool life. Industrial trials were performed for the selected cycle and the efficiency of this cycle was evaluated. Finally, the optimization task was formulated. However, solution of the optimization problem is costly at this stage and improvement of the efficiency of the formulation will be the objective of further research. References 1. Kuziak R., Skóra M., Węglarczyk S., Paćko M., Pietrzyk M., Computer aided design of the manufacturing chain for fasteners, Computer Methods in Materials Science, 11, 2011, 243-250. 2. Kuziak R., Pidvysots’kyy V., Węglarczyk S., Pietrzyk M., Bainitic steels as alternative for conventional carbon-manganese steels in manufacturing of fasteners - simulation of production chain, Computer Methods in Materials Science, 11, 2011, 443 – 462.

• Periodical: Key Engineering Materials (Volumes 504-506)
• Pages: 157-162
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.504-506.157
• Online since: February 2012
• Authors: Mariusz Skóra, Stanislaw Weglarczyk, Jan Kusiak, Maciej Pietrzyk
• Keywords: Computer Aided Design (CAD), Fastener, Forging, Production Chain

References

[1] J. Kusiak, M. Pietrzyk, J.-L. Chenot, Die shape design and evaluation of microstructure control in the closed-die axisimmetrical forging by using FORGE2 program, ISIJ Int., 34 (1994) 755-760.

DOI: 10.2355/isijinternational.34.755

[2] K.S. Park, Chester J. VanTyne, Y.H. Moon, Process analysis of multistage forging by using finite element method, J. Mat. Proc. Techn., 187-188 (2007) 586-590.

DOI: 10.1016/j.jmatprotec.2006.11.036

[3] X. Han, L. Hua, 3D FE modeling of cold rotary forging of a ring workpiece, 209 (2009) 5353-5362.

DOI: 10.1016/j.jmatprotec.2009.04.005

[4] M. Pietrzyk, Ł. Madej, S. Węglarczyk, Tool for optimal design of manufacturing chain based on metal forming, CIRP Annals - Manufacturing Technology, 57 (2008) 309-312.

DOI: 10.1016/j.cirp.2008.03.099

[5] P.F. Bariani, S. Bruschi, A. Ghiotti, M. Simionato, Ductile fracture prediction in cold forging process chains, CIRP Annals - Manufacturing Technology, 60 (2011) 287–290.

DOI: 10.1016/j.cirp.2011.03.135

[6] B.-A. Behrens, B. Denkena, F. Charlin, M. Dannenberg, Model based optimization of forging process chains by the use of genetic algorithm, Proc. 10th ICTP, eds, G. Hirt, E.A. Tekkaya, Aachen, 2011, 154-158.

[7] R. Kuziak, M. Skóra, S. Węglarczyk, M. Paćko, M. Pietrzyk, Computer aided design of the manufacturing chain for fasteners, Comp. Meth. Mater. Sci., 11 (2011), 243-250.

[8] R. Kuziak, V. Pidvysots'kyy, S. Węglarczyk, M. Pietrzyk, Bainitic steels as alternative for conventional carbon-manganese steels in manufacturing of fasteners - simulation of production chain, Comp. Meth. Mater. Sci., 11 (2011), 443 – 462.

[9] J.-L. Chenot, M. Bellet, The viscoplastic approach for the finite-element modelling of metal forming processes, in: P. Hartley, I. Pillinger, C.E.N. Sturges (Eds), Numerical modelling of material deformation processes, Springer-Verlag, London, Berlin, 1992, 179-224.

DOI: 10.1007/978-1-4471-1745-2_8

[10] D. Szeliga, J. Gawąd J., Pietrzyk M., Inverse analysis for identification of rheological and friction models in metal forming, Comp. Meth. Appl. Mech. Eng., 195, 2006, 6778-6798..

DOI: 10.1016/j.cma.2005.03.015

[11] A. Hansel, T. Spittel, Kraft- und Arbeitsbedarf Bildsamer Formgebungs-verfahren, VEB Deutscher Verlag fur Grundstoffindustrie, Leipzig, 1979.

[12] L. Madej, S. Węglarczyk, M. Pietrzyk, Simulation of drawing as an important stage in the steel bolt manufacturing chain, Hutnik-Wiadomości Hutnicze, 76, 2009, 71-73.

[13] B. Denkena, B.A., Behrens, F. Charlin, M. Dannenberg, Integrative process chain optimization using a Genetic Algorithm. Prod. Eng. Res. Devel. DOI 10.1007/s11740-011-0347-5 (2011).

DOI: 10.1007/s11740-011-0347-5

[14] F.L. Bellifemine, G. Caire, D. Greenwood, Developing multi-agent systems with JADE, John Wiley & Sons, Newe Yorc, 2007.

DOI: 10.1002/9780470058411

[15] G. Rojek, L. Sztangret, J. Kusiak, Agent-based information processing in a domain of the industrial process optimization. Comp. Meth. Mater. Sci., 11 (2011), 297-302.

[16] G. Rojek, J. Kusiak, Industrial control system based on data processing. Proc. Int. Conf. ICAISC, 2012 (accepted).