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Solution for failure analysis of automotive axle knuckle pull-out

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Abstract

A completely safe engineering solution to the automotive assembly line knuckle ball-joint pull-out problem is achieved using failure analysis based on the “Design of Experiment” (DOE) method. During use, some ball-joints move in their housings or come loose under heavy loads. The purpose of this study is to determine critical production parameters that will eliminate this failure. In this research, the knuckle-ball-joint pull-out problem is examined, and knuckle housing and ball-joint outer diameter limits are re-defined. Four levels of interference between knuckle and ball-joint diameters and 2 levels of knuckle thickness are specified. Experiments are repeated five times using General Variance Analysis. Required pull-out force is determined, and necessary interference is found. New knuckle housing and ball-joint diameters, based on recommended interference values, are determined. It is also found that thickness of knuckle boss does not affect the results. Therefore, the design is unchanged in this region and this reduces costs.

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References

  • Anselmetti, B., Mejbri, H. and Mawussi, K. (2003). Coupling experimental design-digital simulation of junctions for the development of complex tolerance chains. Computers in Industry 50,3, 277–292.

    Article  Google Scholar 

  • Arbizu, I. P. and Perez, C. J. L. (2003). Surface roughness prediction by factorial design of experiments in turning processes. J. Materials Processing Technology, 143–144, 390–396.

    Article  Google Scholar 

  • Bahloul, R., Mkaddem, A., Dal Santo, P. and Potiron, A. (2006). Sheet metal bending optimization using response surface method, numerical simulation and design of experiments. Int. J. Mechanical Sciences 48,9, 991–1003.

    Article  MATH  Google Scholar 

  • Campanelli, S. L., Ludovico, A. D., Bonserio, C., Cavalluzzi, P. and Cinquepalmi, M. (2007). Experimental analysis of the laser milling process parameters. J. Materials Processing Technology 191,1–3, 220–223.

    Article  Google Scholar 

  • Cho, Y.-B., Suh, M.-W. and Sin, H.-C. (2005). Effective reinforcement of S-shaped front frame with a closed-hat section member for frontal impact using homogenization method. Int. J. Automotive Technology 6,6, 643–655.

    Google Scholar 

  • Choi, B.-L., Choi, D.-H., Min, J., Jeon, K., Park, J., Choi, S. and Ko, J.-M. (2009). Torsion beam axle system design with a multidisciplinary. Int. J. Automotive Technology 10,1, 49–54.

    Article  Google Scholar 

  • Del Vecchio, R. J. (1997). Understanding Design of Experiments: A Primer for Technologists. Hanser/Gardner Publications. New York.

    Google Scholar 

  • Fraleigh, L. M., Guay, M. and Forbes, J. F. (2003). Sensor selection for model-based real-time optimization: Relating design of experiments and design cost. J. Process Control 13,7, 667–678.

    Article  Google Scholar 

  • Hicks, C. R. (1973). Fundamental Concepts in the Design of Experiments. Holt. Rinehart and Winston. New York.

    MATH  Google Scholar 

  • Kim, N. H., Choi, M. H., Kim, S. Y. and Chang, E. G. (2006). Design of experiment (DOE) method considering interaction effect of process parameters for optimization of copper chemical mechanical polishing (CMP) process. Microelectronic Engineering 83,3, 506–512.

    Article  Google Scholar 

  • Lee, E. S. and Baek, S. Y. (2007). A study on optimum grinding factors for aspheric convex surface micro-lens using design of experiments. Int. J. Machine Tools and Manufacture 47,3–4, 509–520.

    Article  Google Scholar 

  • Lim, J.-Y., Kang, W.-J., Kim, D.-S. and Kim, G.-H. (2007). Effect of the flexibility of automotive suspension components in multibody dynamics simulations. Int. J. Automotive Technology 8,6, 745–752.

    Google Scholar 

  • Mezgar, I., Egresits, C. and Monostori, L. (1997). Design and real-time reconfiguration of robust manufacturing systems by using design of experiments and artificial neural networks. Computers in Industry 33,1, 61–70.

    Article  Google Scholar 

  • Mishra, P. K. and Pandey, P. C. (1989). Simulation studies of flexible manufacturing systems using statistical design of experiments. Computers & Industrial Engineering 16,1, 65–74.

    Article  MathSciNet  Google Scholar 

  • Montgomery, D. C. (2000). Design and Analysis of Experiments. 5th edn. John Wiley & Sons. New York.

    Google Scholar 

  • Pei, Z. J., Xin, X. J. and Liu, W. (2003). Finite element analysis for grinding of wire-sawn silicon wafers: A designed experiment. Int. J. Machine Tools and Manufacture 43,1, 7–16.

    Article  Google Scholar 

  • Rout, B. K. and Mittal, R. K. (2006). Tolerance design of robot parameters using Taguchi method. Mechanical Systems and Signal Processing 20,8, 1832–1852.

    Article  Google Scholar 

  • Tsai, C. S. (2002). Evaluation and optimisation of integrated manufacturing system operations using Taguchi’s experiment design in computer simulation. Computers & Industrial Engineering 43,3, 591–604.

    Article  Google Scholar 

  • Zhang, Y., Zhu, P. and Chen, G. (2007). Lightweight design of automotive front side rail based on robust optimisation. Thin-Walled Structures 45,7–8, 670–676.

    Article  Google Scholar 

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Correspondence to M. Makaraci.

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Baynal, K., Makaraci, M. & Gulbudak, K. Solution for failure analysis of automotive axle knuckle pull-out. Int.J Automot. Technol. 11, 701–710 (2010). https://doi.org/10.1007/s12239-010-0083-4

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  • DOI: https://doi.org/10.1007/s12239-010-0083-4

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