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Abstract

Metallic catalytic converter (MCC) is one of the technologies widely applied to motorcycle exhausts which aims to improve exhaust emission to be more environmentally friendly. However, even though many studies have been conducted, optimal design has not been achieved compared to other designs. Through this research, the Taguchi method is proposed as an alternative method to find the optimum parameters of MCC. The Taguchi method was chosen because of its ability to find a robust combination of parameters. There are four MCC parameters used as inputs while each parameter consists of three levels, thus the design used is the L18 Orthogonal Array (OA) which each combination is tested on three types of motorcycles, namely Moped, Automatic, and Sports. The signal-to-noise ratio (S/N) was adopted as one of the quality indicators of each combination. The optimization results showed that the best MCC design to reduce CO emissions is STD PGM. However, the optimum CO design can be used as an alternative because the difference in the S/N ratio is only -0.372. Meanwhile, the optimum CO design has another advantage over the STD PGM, namely the S/N value of the power ratio which tends to be higher with a difference of 5.037 compared to the STD PGM. Then, the best MCC design capable of increasing power is the optimum power design. The optimum power design has a superior S/N ratio with a difference of 5.404. In terms of emission, the optimum power design tends to be lower by a difference of -1.875 compared to the STD PGM.

Keywords

Metallic catalytic converter Motorcycle Taguchi method CO emission Engine power

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References

  1. United Nations, “The Sustainable Development Goals Report 2017,” New York, 2017.
  2. UNDP, Sustainable Development Goals. United Nations Development Programme (UNDP).
  3. A. Sule, Z. A. Latiff, M. A. Abbas, I. Veza, and A. C. Opia, “Recent Advances in Diesel-Biodiesel Blended with Nano-Additive as Fuel in Diesel Engines: A Detailed Review,” Automotive Experiences, vol. 5, no. 2, pp. 182–216, 2022, doi: 10.31603/ae.6352.
  4. B. O. Bolaji, D. O. Bolaji, and S. T. Amosun, “Energy and cooling performance of carbon-dioxide and hydrofluoroolefins blends as eco-friendly substitutes for R410A in air-conditioning systems,” Mechanical Engineering for Society and Industry, vol. 3, no. 1, pp. 35–46, 2023, doi: 10.31603/mesi.8591.
  5. M. Masoudi, J. Hensel, and E. Tegeler, “A Review of the 2018 U.S.-DOE CLEERS Conference: Trends and Deeper Insights in Reduction of NOx and Particulate in Diesel and Gasoline Engines and Advances in Catalyst Materials, Mechanisms, and Emission Control Technologies,” Emission Control Science and Technology, vol. 6, no. 2, pp. 113–125, Jun. 2020, doi: 10.1007/s40825-019-00134-1.
  6. H. Dong, J. Zhao, J. Chen, Y. Wu, and B. Li, “Recovery of platinum group metals from spent catalysts: A review,” International Journal of Mineral Processing, vol. 145, pp. 108–113, Dec. 2015, doi: 10.1016/j.minpro.2015.06.009.
  7. Warju, Teknologi Reduksi Emisi Gas Buang Kendaraan Bermotor. Surabaya: Unesa University Press, 2013.
  8. P. Lang, N. Yuan, Q. Jiang, Y. Zhang, and J. Tang, “Recent Advances and Prospects of Metal‐Based Catalysts for Oxygen Reduction Reaction,” Energy Technology, vol. 8, no. 3, p. 1900984, Mar. 2020, doi: 10.1002/ente.201900984.
  9. P. Choudhury and S. Deo, “An Innovative Approach for Emission Control Using Copper Plate Catalytic Converter,” International Journal of Advanced Science, Engineering and Technology, vol. 3, no. 2, pp. 19–23, 2014.
  10. S. Rathore, M. Thakur, and S. S. . Deepak, “Modeling and Simulation of Four Stroke Spark Ignition Engine with Nano-Particle Coated Catalytic Converter for Analysis of Exhaust Emissions,” International Journal for Research in Applied Science and Engineering Technology, vol. 6, no. 6, pp. 1447–1456, 2018, doi: 10.22214/ijraset.2018.6212.
  11. I. A. N. N. Shoffan, S. Sumarli, and I. M. Nauri, “The effect of copper-based catalytic converter with circular tube shape on exhaust emission of Yamaha Vixion 1PA,” IOP Conference Series: Materials Science and Engineering, vol. 669, no. 1, pp. 0–9, Nov. 2019, doi: 10.1088/1757-899X/669/1/012014.
  12. Sukarman et al., “Optimization of tensile-shear strength in the dissimilar joint of Zn-coated steel and low carbon steel,” Automotive Experiences, vol. 3, no. 3, pp. 115–125, 2020, doi: 10.31603/ae.v3i3.4053.
  13. A. D. Shieddieque, Sukarman, Mardiyati, B. Widyanto, and Y. Aminanda, “Multi-objective Optimization of Sansevieria Trifasciata FibreReinforced Vinyl Ester (STF/VE) Bio-composites for the Sustainable Automotive Industry,” Automotive Experiences, vol. 5, no. 3, pp. 288–303, 2022, doi: 10.31603/ae.7002.
  14. S. R. Ariyanto, S. Suprayitno, and R. Wulandari, “Design of Metallic Catalytic Converter using Pareto Optimization to Improve Engine Performance and Exhaust Emissions,” Automotive Experiences, vol. 6, no. 1, pp. 200–2015, Apr. 2023, doi: 10.31603/ae.7977.
  15. R. Nawaz, I. Hussain, S. Noor, T. Habib, and M. Omair, “The significant impact of the economic sustainability on the cement industry by the assessment of the key performance indicators using Taguchi signal to noise ratio,” Cogent Engineering, vol. 7, no. 1, p. 1810383, Jan. 2020, doi: 10.1080/23311916.2020.1810383.
  16. L.-H. Ho, S.-Y. Feng, and T.-M. Yen, “A New Methodology for Customer Satisfaction Analysis: Taguchi’s Signal-to-Noise Ratio Approach,” Journal of Service Science and Management, vol. 07, no. 03, pp. 235–244, 2014, doi: 10.4236/jssm.2014.73021.
  17. J. Liu et al., “Dynamic Evaluation Method of Machining Process Planning Based on Digital Twin,” IEEE Access, vol. 7, pp. 19312–19323, 2019, doi: 10.1109/ACCESS.2019.2893309.
  18. SNI 19-7118.3-2005, Emission of Moving-Source-Moving Gas-Part 3: Test Methods for Category L Motor Vehicles at Idle Conditions. 2005.
  19. SAE J1349, Engine Power Test Code-Spark Ignition and Compression Ignition-Net Power Rating. Warrendale: SAE International, 2004.
  20. P. U. Arvikar, “The Performance of Modified Catalytic Converter using Copper-Nickel as Catalysts to Reduce Exhaust Gas Emissions from CI Engine,” International Journal for Research in Applied Science and Engineering Technology, vol. 7, no. 6, pp. 1536–1542, Jun. 2019, doi: 10.22214/ijraset.2019.6260.
  21. Warju, S. P. Harto, and Soenarto, “The Performance of Chrome-Coated Copper as Metallic Catalytic Converter to Reduce Exhaust Gas Emissions from Spark-Ignition Engine,” IOP Conference Series: Materials Science and Engineering, vol. 288, no. 1, p. 012151, Jan. 2018, doi: 10.1088/1757-899X/288/1/012151.
  22. A. C. Mitra, M. Jawarkar, T. Soni, and G. R. Kiranchand, “Implementation of Taguchi Method for Robust Suspension Design,” Procedia Engineering, vol. 144, pp. 77–84, 2016, doi: 10.1016/j.proeng.2016.05.009.
  23. A. Rout, S. S. Sahoo, S. Singh, S. Pattnaik, A. K. Barik, and M. M. Awad, “Benefit-cost analysis and parametric optimization using Taguchi method for a solar water heater,” in Design and Performance Optimization of Renewable Energy Systems, Elsevier, 2021, pp. 101–116.
  24. E. Ginting and M. M. Tambunan, “Selection of Optimal Factor Level From Process Parameters in Palm Oil Industry,” IOP Conference Series: Materials Science and Engineering, vol. 288, p. 012056, Jan. 2018, doi: 10.1088/1757-899X/288/1/012056.
  25. S. Yu, G. Dai, Z. Wang, L. Li, X. Wei, and Y. Xie, “A consistency evaluation of signal-to-noise ratio in the quality assessment of human brain magnetic resonance images,” BMC Medical Imaging, vol. 18, no. 1, p. 17, Dec. 2018, doi: 10.1186/s12880-018-0256-6.
  26. M. Ramachandran and N. Agarwal, “Identification of Most Affected Parameter for Design for Remanufacturing of Scrap Piston by Taguchi Desirability Function Analysis,” 2018, pp. 320–329.
  27. M. Ilevbare and O. M. Omorogieva, “Formation evaluation of the petrophysical properties of wells in e - field onshore Niger Delta, Nigeria,” Nigerian Journal of Technology, vol. 39, no. 4, pp. 962–971, Mar. 2021, doi: 10.4314/njt.v39i4.1.
  28. R. K. Verma, D. Patel, and M. K. Chopkar, “Wear behavior investigation of Al-B4C functionally graded composite through Taguchi’s design of experiment,” Journal of Engineering Research, p. 100095, May 2023, doi: 10.1016/j.jer.2023.100095.
  29. O. S. Ogbonna, S. A. Akinlabi, N. Madushele, O. S. Fatoba, and E. T. Akinlabi, “Grey-based taguchi method for multi-weld quality optimization of gas metal arc dissimilar joining of mild steel and 316 stainless steel,” Results in Engineering, vol. 17, p. 100963, Mar. 2023, doi: 10.1016/j.rineng.2023.100963.
  30. J. Antony, “Case Studies,” in Design of Experiments for Engineers and Scientists, Elsevier, 2014, pp. 125–188.
  31. M. Abas et al., “Experimental Investigation and Statistical Evaluation of Optimized Cutting Process Parameters and Cutting Conditions to Minimize Cutting Forces and Shape Deviations in Al6026-T9,” Materials, vol. 13, no. 19, p. 4327, Sep. 2020, doi: 10.3390/ma13194327.
  32. N. Mansour, M. Marschall, T. May, A. Westermann, and T. Dau, “A method for realistic, conversational signal-to-noise ratio estimation,” The Journal of the Acoustical Society of America, vol. 149, no. 3, pp. 1559–1566, Mar. 2021, doi: 10.1121/10.0003626.
  33. K. Khivantsev et al., “Palladium/Zeolite Low Temperature Passive NOx Adsorbers (PNA): Structure-Adsorption Property Relationships for Hydrothermally Aged PNA Materials,” Emission Control Science and Technology, vol. 6, no. 2, pp. 126–138, Jun. 2020, doi: 10.1007/s40825-019-00139-w.