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Response Surface Optimization of Car Support Jack Bar on Design Parameter via Finite Element Analysis

Authors

  • Muhammad Azzie Fitriamalikhwan Azhar

DOI:

https://doi.org/10.58915/aset.v1i2.14

Abstract

The optimized design parameter of the car support jack bar is crucial in ensuring the safety of maintenance activity. Improper design of the bar and pinhole could induce the jack bar's failure when enduring the high loading of the car. This paper presents the response surface optimization on the design parameter of the car jack bar using finite element analysis. Three factors: outer diameter (A), pinhole diameter (B), and bar thickness (C), and two responses which are Von Mises stress (Y1) and displacement (Y2) of the jack bar, were considered in the optimization study. The design of the numerical experiment was constructed using the central composite design (CCD). The results revealed that outer and pinhole diameters are the two most significant factors in the responses. The changes in outer and pinhole diameters crucially affected the Von Mises stress and displacement of the jack bar. The optimized factors suggested in the optimization software are 49.79 mm outer diameter, 21.70 mm pinhole diameter, and 5.85 mm bar thickness. The application of optimized factors yielded the minimum responses that are 45.23 MPa Von Mises stress and 0.022 mm of displacement for the car jack bar. The optimization findings are expected to be useful for the engineer in designing the high-reliability car jack bar.

References

Chelladurai, S. J. S., Murugan, K., Ray, A. P., Upadhyaya, M., Narasimharaj, V., & Gnanasekaran, S. Optimization of process parameters using response surface methodology: A review. Materials Today: Proceedings, vol 37, (2021) pp.1301-1304.

Li, Z., Gerdroodbary, M. B., Valipour, P., Moradi, R., & Babazadeh, H. The optimization via response surface method for micro hydrogen gas actuator. International Journal of Hydrogen Energy, vol 44, issue 59 (2019) pp.31633-31643.

Chen, W. H., Uribe, M. C., Kwon, E. E., Lin, K. Y. A., Park, Y. K., Ding, L., & Saw, L. H. A comprehensive review of thermoelectric generation optimization by statistical approach: Taguchi method, analysis of variance (ANOVA), and response surface methodology (RSM). Renewable and Sustainable Energy Reviews, vol 169, (2022) pp.112917.

Lau, C. S., Abdullah, M. Z., & Khor, C. Y. Optimization of the reflow soldering process with multiple quality characteristics in ball grid array packaging by using the grey‐based Taguchi method. Microelectronics International, vol. 30, issue 3 (2013) pp. 151-168.

Rajmohan, T., & Palanikumar, K. Application of the central composite design in optimization of machining parameters in drilling hybrid metal matrix composites. Measurement, vol 46, issue 4 (2013) pp.1470-1481.

Leong, W. C., Abdullah, M. Z., & Khor, C. Y. Optimization of flexible printed circuit board electronics in the flow environment using response surface methodology. Microelectronics Reliability, vol 53, issue 12 (2013) pp.1996-2004.

Tsai, C. W., Tong, L. I., & Wang, C. H. Optimization of multiple responses using data envelopment analysis and response surface methodology. Journal of Applied Science and Engineering, vol 13, issue 2 (2010) pp.197-203.

Khuri, A. I., & Mukhopadhyay, S. Response surface methodology. Wiley Interdisciplinary Reviews: Computational Statistics, vol 2, issue 2 (2010) pp.128-149.

Baş, D., & Boyacı, I. H. Modeling and optimization I: Usability of response surface methodology. Journal of food engineering, vol 78, issue 3 (2007) pp.836-845.

Nwobi-Okoye, C. C., & Ochieze, B. Q. Age hardening process modeling and optimization of aluminum alloy A356/Cow horn particulate composite for brake drum application using RSM, ANN and simulated annealing. Defence Technology, vol 14, issue 4 (2018) pp.336-345.

MacLaughlin, T. F., Saul, R. A., & Daniel Jr, S. Causes and measurement of vehicle aggressiveness in frontal collisions. SAE Transactions, (1980) pp.4064-4097.

Tan, J. S., Khor, C. Y., Rahim, W. M. F. W. A., Ishak, M. I., Rosli, M. U., Jamalludin, M. R., ... & Ani, F. C. Influence of solder joint length to the mechanical aspect during the thermal stress analysis. In AIP conference proceedings, vol 1885, issue 1 (2017) pp.020063.

Khor, C. Y., & Abdullah, M. Z. Analysis of fluid/structure interaction: Influence of silicon chip thickness in moulded packaging. Microelectronics Reliability, vol 53, issue 2 (2013) pp.334-347.

Etuk, E. M., Ebhojiaye, R. S., & Ekanem, K. R. Modelling and Simulation of Frequency Response on Input shaft/carrier of a Planetary Gear Train under the Influence of Vibration. Journal of Applied Sciences and Environmental Management, vol 25, issue 4 (2021) pp.591-598.

Adekunle, A. A., Martins, O. O., & Babarinde, A. K. Computer Aided Design and Analysis of Plain Carbon Steel Spur Gear Under Different Force Application. FUW Trends in Science & Technology Journal, (2018) pp.579-584.

Luqman, M., Rosli, M. U., Khor, C. Y., Zambree, S., & Jahidi, H. Manufacturing process selection of composite bicycle's crank arm using analytical hierarchy process (AHP). In IOP conference series: materials science and engineering, vol 318, issue 1 (2018) pp.012058.

Rosli, M. U., Jamalludin, M. R., Khor, C. Y., Ishak, M. I., Jahidi, H., Wasir, N. Y., ... & Ismail, R. I. Analytical hierarchy process for natural fiber composites automotive armrest thermoset matrix selection. In MATEC web of conferences, vol. 97, (2017) pp.01039.

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Published

2022-12-29

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How to Cite

Azhar, M. A. F. (2022). Response Surface Optimization of Car Support Jack Bar on Design Parameter via Finite Element Analysis. Advanced and Sustainable Technologies (ASET), 1(2). https://doi.org/10.58915/aset.v1i2.14

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