A Model Experiment Design Using the Taguchi Method: A Case Study Of Making Concrete Roof
DOI:
https://doi.org/10.59976/jurit.v1i1.2Keywords:
Concrete tile, Experimental design, TaguchiAbstract
This research was conducted at a company manufacturing paving blocks, ceramics, ventilation, concrete, and roof tiles. This study aims to improve the quality of concrete tile products, which experience the most cracks and breaks. Research to determine the composition of concrete roof tiles can be carried out by design experiments using the Taguchi method. This experiment used raw materials such as cement, sand, milled flour, and water. The concluding results show that the quality of concrete roof tiles is based on the results of the Taguchi method and confirmation experiments which are characterized by an increase in the compressive strength of the concrete tile based on the average value (μ) and its variability (SNR). The average compressive strength (µ) of concrete roof tiles increased from 19,814 ≤ 21,208 ≤ 22,602 in the Taguchi experiment to 26,406 ≤ µconfirmation ≤ 29,894 in the confirmation experiment. While the variability (SNR) increased from 25.532 ≤ 27.521 ≤ 29.510 in the Taguchi experiment to 26.473 ≤ S/N confirmed ≤ 31.469 in the confirmation experiment. The optimal composition of cement, sand, milled flour, and water that produces the best compressive strength based on the response factor and SNR is 0.9 kg: 0.5 kg: 0.4 kg: 0.3 kg, respectively. The most influential factors on the compressive strength of concrete roof tiles are the amount of sand and the number of flour mills
Downloads
References
M. Heidari-Rarani, “Optimization of FDM process parameters for tensile properties of polylactic acid specimens using Taguchi design of experiment method,” J. Thermoplast. Compos. Mater., vol. 35, no. 12, pp. 2435–2452, 2022, doi: 10.1177/0892705720964560.
K. da S. Moreira, “Taguchi design-assisted co-immobilization of lipase A and B from Candida antarctica onto chitosan: Characterization, kinetic resolution application, and docking studies,” Chem. Eng. Res. Des., vol. 177, pp. 223–244, 2022, doi: 10.1016/j.cherd.2021.10.033.
C. P. Jiang, “Optimization of FDM 3D printing parameters for high strength PEEK using the Taguchi method and experimental validation,” Rapid Prototyp. J., vol. 28, no. 7, pp. 1260–1271, 2022, doi: 10.1108/RPJ-07-2021-0166.
J. Lunagariya, “Application of Taguchi method in activated carbon adsorption process of phenol removal from ceramic gasifier wastewater,” Environ. Challenges, vol. 6, 2022, doi: 10.1016/j.envc.2022.100450.
J. S. Pan, “Maximum power point tracking and parameter estimation for multiple-photovoltaic arrays based on enhanced pigeon-inspired optimization with Taguchi method,” Energy, vol. 251, 2022, doi: 10.1016/j.energy.2022.123863.
M. Kam, “Investigation of the effect of FDM process parameters on mechanical properties of 3D printed PA12 samples using Taguchi method,” J. Thermoplast. Compos. Mater., vol. 36, no. 1, pp. 307–325, 2023, doi: 10.1177/08927057211006459.
S. K. Mahla, “Optimization of engine operating variables on performance and emissions characteristics of biogas fuelled CI engine by the design of experiments: Taguchi approach,” Environ. Prog. Sustain. Energy, vol. 41, no. 2, 2022, doi: 10.1002/ep.13736.
R. Aniza, “Integrating Taguchi method and artificial neural network for predicting and maximizing biofuel production via torrefaction and pyrolysis,” Bioresour. Technol., vol. 343, 2022, doi: 10.1016/j.biortech.2021.126140.
W. H. Chen, “Optimization of a vertical axis wind turbine with a deflector under unsteady wind conditions via Taguchi and neural network applications,” Energy Convers. Manag., vol. 254, 2022, doi: 10.1016/j.enconman.2022.115209.
M. Gul, “Grey-Taguchi and ANN based optimization of a better performing low-emission diesel engine fueled with biodiesel,” Energy Sources, Part A Recover. Util. Environ. Eff., vol. 44, no. 1, pp. 1019–1032, 2022, doi: 10.1080/15567036.2019.1638995.
M. N. Ahmad, “Application of Taguchi Method to Optimize the Parameter of Fused Deposition Modeling (FDM) Using Oil Palm Fiber Reinforced Thermoplastic Composites,” Polymers (Basel)., vol. 14, no. 11, 2022, doi: 10.3390/polym14112140.
M. B. Sanjeevannavar, “Performance indicators for the optimal BTE of biodiesels with additives through engine testing by the Taguchi approach,” Chemosphere, vol. 288, 2022, doi: 10.1016/j.chemosphere.2021.132450.
V. Kavimani, “Multi Response Optimization on Machinability of SiC Waste Fillers Reinforced Polymer Matrix Composite Using Taguchi’s Coupled Grey Relational Analysis,” Silicon, vol. 14, no. 1, pp. 65–73, 2022, doi: 10.1007/s12633-020-00782-x.
W. K. Essa, “Taguchi L25 (54) Approach for Methylene Blue Removal by Polyethylene Terephthalate Nanofiber‐Multi‐Walled Carbon Nanotube Composite,” Water (Switzerland), vol. 14, no. 8, 2022, doi: 10.3390/w14081242.
S. Kumar, “Physico-Mechanical Properties and Taguchi Optimized Abrasive Wear of Alkali Treated and Fly Ash Reinforced Himalayan Agave Fiber Polyester Composite,” J. Nat. Fibers, vol. 19, no. 14, pp. 9269–9282, 2022, doi: 10.1080/15440478.2021.1982818.
S. Balaji, “Optimization and Prediction of Tribological Behaviour of Al-Fe-Si Alloy-Based Nanograin-Refined Composites Using Taguchi with Response Surface Methodology,” J. Nanomater., vol. 2022, 2022, doi: 10.1155/2022/9733264.
A. Sharma, “Experimental investigation and optimization of potential parameters of discrete V down baffled solar thermal collector using hybrid Taguchi-TOPSIS method,” Appl. Therm. Eng., vol. 209, 2022, doi: 10.1016/j.applthermaleng.2022.118250.
N. M. Reang, “Effect of linseed methyl ester and diethyl ether on the performance–emission analysis of a CI engine based on Taguchi-Fuzzy optimisation,” Int. J. Ambient Energy, vol. 43, no. 1, pp. 471–485, 2022, doi: 10.1080/01430750.2019.1653969.
R. Kumar, “Multiresponse optimization of end milling process parameters on ZE41A Mg alloy using Taguchi and TOPSIS approach,” Mater. Today Proc., vol. 56, pp. 2497–2504, 2022, doi: 10.1016/j.matpr.2021.08.271.
O. A. Falowo, “A novel heterogeneous catalyst synthesis from agrowastes mixture and application in transesterification of yellow oleander-rubber oil: Optimization by Taguchi approach,” Fuel, vol. 312, 2022, doi: 10.1016/j.fuel.2021.122999.
D. Hou, “Taguchi robust design for adaptive energy management of plug-in fuel cell electric bus,” J. Energy Storage, vol. 53, 2022, doi: 10.1016/j.est.2022.105038.
R. R. C. Monteiro, “Improvement of enzymatic activity and stability of lipase A from Candida antartica onto halloysite nanotubes with Taguchi method for optimized immobilization,” Appl. Clay Sci., vol. 228, 2022, doi: 10.1016/j.clay.2022.106634.
S. Üstüntağ, “Optimization of Coating Process Conditions for Denim Fabrics by Taguchi Method and Grey Relational Analysis,” J. Nat. Fibers, vol. 19, no. 2, pp. 685–699, 2022, doi: 10.1080/15440478.2020.1758866.
K. Rashed, “Fused filament fabrication of nylon 6/66 copolymer: parametric study comparing full factorial and Taguchi design of experiments,” Rapid Prototyp. J., vol. 28, no. 6, pp. 1111–1128, 2022, doi: 10.1108/RPJ-06-2021-0139.
N. Sharma, “Taguchi’s DOE and artificial neural network analysis for the prediction of tribological performance of graphene nano-platelets filled glass fiber reinforced epoxy composites under the dry sliding condition,” Tribol. Int., vol. 172, 2022, doi: 10.1016/j.triboint.2022.107580.
E. M. Sefene, “Temperature-based optimization of friction stir welding of AA 6061 using GRA synchronous with Taguchi method,” Int. J. Adv. Manuf. Technol., vol. 119, no. 3, pp. 1479–1490, 2022, doi: 10.1007/s00170-021-08260-3.
N. Lokesh, “Evaluation on effect of printing process parameter through Taguchi approach on mechanical properties of 3D printed PLA specimens using FDM at constant printing temperature,” Materials Today: Proceedings, vol. 52. pp. 1288–1293, 2022. doi: 10.1016/j.matpr.2021.11.054.
J. M. Zayan, “Investigation on rheological properties of water-based novel ternary hybrid nanofluids using experimental and taguchi method,” Materials (Basel)., vol. 15, no. 1, 2022, doi: 10.3390/ma15010028.
N. Rahman, “Graphene oxide/Mg-Zn-Al layered double hydroxide for efficient removal of doxycycline from water: Taguchi approach for optimization,” J. Mol. Liq., vol. 354, 2022, doi: 10.1016/j.molliq.2022.118899.
M. M. A. Dawoud, “Removal of stable and radio isotopes from wastewater by using modified microcrystalline cellulose based on Taguchi L16,” Int. J. Environ. Sci. Technol., vol. 20, no. 2, pp. 1289–1300, 2023, doi: 10.1007/s13762-022-04073-3.
P. Halimah and Y. Ekawati, “Penerapan Metode Taguchi untuk Meningkatkan Kualitas Bata Ringan pada UD. XY Malang,” JIEMS (Journal Ind. Eng. Manag. Syst., vol. 13, no. 1, 2020.
N. C. Sukmana, E. Masbuchin, and U. Anggarini, “Optimasi Komposisi Pasir, Foam Agent dan Suhu Curing Pada Sintesis Beton Ringan Selular Geopolimer Dengan Pendekatan Metode Taguchi,” J. Rekayasa Sipil, vol. 16, no. 1, pp. 1–11, 2020.
D. Anggraini, S. K. Dewi, and T. E. Saputro, “Aplikasi metode Taguchi untuk menurunkan tingkat kecacatan pada produk paving,” J. Tek. Ind., vol. 16, no. 1, pp. 1–9, 2015.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Idris Nur Permadi, Dini Basiratun Nisa
This work is licensed under a Creative Commons Attribution 4.0 International License.
