Effect of Working Table and Bandsaw Speed on the VZ 400-SA Machine in Obtaining the Optimal Width of Steel Plate
DOI:
https://doi.org/10.22441/ijiem.v5i3.24341Keywords:
Optimation, Taguchi, Quality, StandardizationAbstract
The size of the material test specimen determines the accuracy of the material characteristics. This research was conducted to obtain the optimal tensile test specimen size by optimizing the cut parameters on the VZ-400 SA cutting machine. The material used is SNI 07-2054-2007 standard angled steel with a thickness of 5 mm. Optimization of machine parameters was carried out using the Taguchi method to measure the effect of work table speed (mm/s) and saw blade speed (m/min) on the response to the width of the rectangular cutting product. Cut width limit between 34-36 mm. Data was collected by conducting experiments 9 times with 3 replications. The results showed that the factor that most influenced the size of the width of the cut was the speed of the work table with a contribution of 86.49%, while the speed of the saw blade was 1.64% with an error of 11.87%. The optimal size of the test specimen is produced from the table speed parameter of 2 mm/s and the saw cutting speed of 90 m/min. Cutting validation was conducted in triplicate, and the result showed an average plate width of 34.7 mm with an error of 0.02.Downloads
References
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Borra, N. D., & Neigapula, V. S. N. (2023). Parametric optimization for dimensional correctness of 3D printed part using masked stereolithography: Taguchi method. Rapid Prototyping Journal, 29(1), 166–184. https://doi.org/https://doi.org/10.1108/RPJ-03-2022-0080
Chethan, Y. D., Ravindra, H. V., & Krishnegowda, Y. T. (2019). Optimization of machining parameters in turning Nimonic-75 using machine vision and acoustic emission signals by Taguchi technique. Measurement: Journal of the International Measurement Confederation, 144, 144–154. https://doi.org/10.1016/j.measurement.2019.05.035
Gao, G., Xu, F., & Xu, J. (2022). Parametric Optimization of FDM Process for Improving Mechanical Strengths Using Taguchi Method and Response Surface Method: A Comparative Investigation. Machines, 10(9). https://doi.org/10.3390/machines10090750
Gao, G., Xu, F., Xu, J., Tang, G., & Liu, Z. (2022). A Survey of the Influence of Process Parameters on Mechanical Properties of Fused Deposition Modeling Parts. Micromachines, 13(4), 1–28. https://doi.org/10.3390/mi13040553
Hartati, D. M. (2018). The Evaluation of Indonesian National Standardization (SNI) Policy towards Import in Steel Industry. Journal of Public Administration Studies, 1(4), 1–8. https://www.jpas.ub.ac.id/index.php/jpas/article/view/35%0Ahttps://www.jpas.ub.ac.id/index.php/jpas/article/download/35/46
Herjanto, E. (2011). Pemberlakuan Sni Secara Wajib Di Sektor Industri: Efektifitas Dan Berbagai Aspek Dalam Penerapannya Mandatory Application of Sni in Industrial Sector: Effectivity and Aspects in Its Implementation. Jurnal Riset Industri, V(2), 121–130.
Kriswanto, Supraptono, Roziqin, A., Hasyim, F., Saputro, D. D., & Wijayanto, B. (2021). Static Structural Analysis and Determination of Low-Cost Component Sizes of the Paper Pulper Machines. IOP Conference Series: Earth and Environmental Science, 700(1). https://doi.org/10.1088/1755-1315/700/1/012004
Kusumah, R. M. I. T., & Andriawan, Y. (2019). Implementation of Cryptography Module Security Certification Based on SNI ISO/IEC 19790:2012 - Security Requirements for Cryptography Module. Proceedings - 2019 International Seminar on Intelligent Technology and Its Application, ISITIA 2019, 216–221. https://doi.org/10.1109/ISITIA.2019.8937280
Lakens, D., & Caldwell, A. R. (2021). Simulation-Based Power Analysis for Factorial Analysis of Variance Designs. Advances in Methods and Practices in Psychological Science, 4(1). https://doi.org/10.1177/2515245920951503
Modi, M., Agarwal, G., Patil, V., Khare, A., Shukla, S., & Sankhala, A. (2019). Modeling and analysis of turning process on lathe machine by taguchi and anova approach. International Journal of Scientific and Technology Research, 8(10), 1466–1470.
Mohd, U., Pandulu, G., & Jayaseelan, R. (2020). Strength evaluation of eco-friendly concrete using taguchi method. Materials Today: Proceedings, 22(xxxx), 937–947. https://doi.org/10.1016/j.matpr.2019.11.136
Ozcelik, Y., Gursel, M., Ciccu, R., Costa, G., & Bortolussi, A. (2012). Optimization of working parameters of water jet cutting in terms of depth and width of cut. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 226(1), 64–78. https://doi.org/10.1177/0954408911407706
Salur, E., Aslan, A., Kuntoglu, M., Gunes, A., & Sahin, O. S. (2019). Experimental study and analysis of machinability characteristics of metal matrix composites during drilling. Composites Part B: Engineering, 166(February), 401–413. https://doi.org/10.1016/j.compositesb.2019.02.023
Shojaei, S., Shojaei, S., Band, S. S., Farizhandi, A. A. K., Ghoroqi, M., & Mosavi, A. (2021). Application of Taguchi method and response surface methodology into the removal of malachite green and auramine-O by NaX nanozeolites. Scientific Reports, 11(1), 1–13. https://doi.org/10.1038/s41598-021-95649-5
Terzioğlu, H. (2020). Analysis of effect factors on thermoelectric generator using Taguchi method. Measurement: Journal of the International Measurement Confederation, 149. https://doi.org/10.1016/j.measurement.2019.106992
Vu, N. P., Nguyen, Q. T., Tran, T. H., Le, H. K., Nguyen, A. T., Luu, A. T., Nguyen, V. T., & Le, X. H. (2019). Optimization of grinding parameters for minimum grinding time when grinding tablet punches by CBN wheel on CNC milling machine. Applied Sciences (Switzerland), 9(5), 1–9. https://doi.org/10.3390/app9050957
Williams, K. W., Bellows, B., Dees, D., Engler, D., Lindner, R., & King, J. J. (2007). SN Ratios for Continuous Variables. In Taguchi’s Quality Engineering Handbook. https://doi.org/10.1002/9780470258354.ch12
Zhang, F., Wang, M., & Yang, M. (2021). Successful application of the Taguchi method to simulated soil erosion experiments at the slope scale under various conditions. Catena, 196(July 2020), 104835. https://doi.org/10.1016/j.catena.2020.104835
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