Journal articles: 'TAGUCHI L16 ARRAY'

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Struzikiewicz, Grzegorz, Wojciech Zębala, and Ksenia Rumian. "Application of Taguchi Method to Optimization of Cutting Force and Temperature during Turning of Difficult to Cut Materials." Key Engineering Materials 686 (February 2016): 114–18. http://dx.doi.org/10.4028/www.scientific.net/kem.686.114.

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The paper presents an analysis of the selection of the regression function in the optimization of steel turning using Taguchi method. The study attempts to investigate cutting force and temperature during turning of steel. Taguchi L16 (4) 2 orthogonal array has been applied for experimental design. S/N ratio and ANOVA analyses were performed to identify significant parameters influencing cutting force and temperature. Mathematical models for both response parameters i.e. cutting force and temperature roughness were obtained through regression analysis. The confirmation experiments carried out at optimal combination of parameters given by Taguchi’s analysis. The optimal solution provided by desirability function optimization was compared with the optimal setting of parameters given by Taguchi analysis. The optimization results provided by both techniques are in close proximity.

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Bashir M. Aburawi and Meor Othman Hamzah. "Investigating the Effect of Experimental Factors on the Performance of Warm Mix Asphalt with Wax Additive using Application of the Taguchi Method." Journal of Pure & Applied Sciences 22, no. 3 (October 2, 2023): 54–59. http://dx.doi.org/10.51984/jopas.v22i3.2735.

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The objective of this study was to assess the impact of experimental factors on the volumetric properties and performance of warm mix asphalt (WMA) with RH-WMA using the Taguchi method. The gradations of the mixtures were based on AC 14, as specified by the Public Works Department of Malaysia. An L16 orthogonal array was employed to design the mixtures, considering three factors: compaction temperatures ranging from 95 to 140°C, RH-WMA contents ranging from 1% to 4%, and asphalt contents ranging from 3.5% to 6.5%. Sixteen mixtures were prepared according to the L16 array. The study focused on investigating several volumetric properties, including bulk-specific gravity, air voids, voids filled with asphalt, and voids in mineral aggregates. Additionally, the strength behavior of the samples was analyzed using the Taguchi method. The resilient modulus and performance of the mixtures were also evaluated. The results of the study indicate that a high RH-WMA content led to a slight decrease in the strength of the asphalt mixture and air voids. However, it increased the voids filled with asphalt (VFA) and resulted in softening of the asphalt mixtures.

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Khavekar, Rajendra, Hari Vasudevan, and Gosar Vimal. "Optimization of Injection Moulding Process Parameters for Manufacturing Plastic Components (PBT) Using Taguchi Method (TM)." Materials Science Forum 969 (August 2019): 775–80. http://dx.doi.org/10.4028/www.scientific.net/msf.969.775.

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In this Paper, the application of Taguchi Method (TM) on the process parameters of Injection Moulding of Polybutylene Terephthalate (PBT) is presented. The influence of process parameters, such as Injection Pressure, Suckback Pressure, Injection Time, Cooling Time, Zone 1 Temperature & Zone 2 Temperature (Barrel Temperatures) on Dark Spots and Short Shots (defects) were investigated using the Orthogonal Array L16 of Taguchi Method for 6 factors at 2 levels each with the response being percent defectives. It was found that Injection Pressure, Injection Time & Zone 1 Temperature had a major effect on the response. After the application of Taguchi Method, the rejection rate dropped down to 5.84% from 11.33%, which is a 48.45% reduction.

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Eski, Ardahan, Zihni Demirbağ, and İsmail Demir. "Improvement of delta-endotoxin production from local Bacillus thuringiensis Se13 using Taguchi’s orthogonal array methodology." Turkish Journal of Biochemistry 43, no. 6 (July 25, 2018): 662–70. http://dx.doi.org/10.1515/tjb-2017-0364.

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Abstract Objective The insecticidal activity of Bacillus thuringiensis directly depends on the yield of delta-endotoxins. In this study, various nutritional and cultural parameters influencing delta-endotoxin synthesis by a local isolate of B. thuringiensis Se13 were investigated using Taguchi methods. Methods In the first experiment, four factors, incubation period, incubation temperature, initial pH and medium, each at four levels, were selected and an orthogonal array layout of L16 was carried out. In the second experiment, Taguchi’s orthogonal array method of L27 was used to evaluate the effects of the different concentration of medium components. Taguchi’s signal–noise ratio and variance analysis were applied to determine the effect of the factors. After each experiment, verification studies were carried out using determined optimum conditions. Results The optimum conditions for incubation period, incubation temperature, initial pH, and medium determined as 72 h, 30°C, pH 9, and M4 medium, respectively. In the second experiment, soybean flour (5%), glucose (5%), KH2PO4 (0.3%), K2HPO4 (0.1%), MgSO4 (0.4%) were determined as the optimum conditions. The delta-endotoxin yield was elevated to 1559.25 μg mL−1 when the factors were adjusted to optimum level. Conclusion Optimization using the Taguchi method appeared to be a good choice for the overproduction of delta-endotoxin.

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Karolina, Rahmi, Johannes Tarigan, M. A. Megat Johari, M. J. A. Mijarsh, and Harianto Hardjasaputra. "Synthesis of Volcanic Ash-based Geopolymer Mortar Designed by the Taguchi Method." Civil Engineering Journal 8, no. 11 (November 1, 2022): 2585–97. http://dx.doi.org/10.28991/cej-2022-08-11-016.

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This study focuses on the geopolymer synthesized from Mount Sinabung’s volcanic ash. The compressive strength of the geopolymer was determined by optimizing five factors using the Taguchi method’s L16 array. The five factors included: volcanic ash wt.%, Sodium silicate (Na2SiO3) wt.%, Sodium hydroxide (NaOH) concentration (mole), Na2SiO3/NaOH wt.% and water/binder (w/b) wt.%. A total of 16 mixtures were prepared per the L16 array and evaluated on five levels to obtain the optimum mixture. The main findings of this study revealed that A2B1C2D3E4 produced the highest compressive strength of 79.625 MPa after three days of curing time, while A4B2C3D1E4 produced the lowest compressive strength of 41.93 MPa. The signal-to-noise (S/N) ratio analysis from the Taguchi method shows that the factor of Na2SiO3 has a greater impact on compressive strength. The X-ray diffraction (XRD) result for the geopolymer mortar revealed the formation of aluminosilicate type (N-A-S-H) and calcium silicate (C-S-H) gels, whereas the Scanning Electron Microscopy (SEM) result exhibited numerous pores and a denser structure. These characterization results demonstrated that the polymerization of volcanic ash mortar from Sinabung successfully conserves natural resources. Doi: 10.28991/CEJ-2022-08-11-016 Full Text: PDF

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Ahmed, Shaimaa Abdul-Rahman, and Hasan F. Makki. "Corrosion Rate Optimization of Mild-Steel under Different Cooling Tower Working Parameters Using Taguchi Design." Journal of Engineering 26, no. 1 (December 25, 2019): 174–85. http://dx.doi.org/10.31026/j.eng.2020.01.13.

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This study investigates the implementation of Taguchi design in the estimation of minimum corrosion rate of mild-steel in cooling tower that uses saline solution of different concentration. The experiments were set on the basis of Taguchi’s L16 orthogonal array. The runs were carried out under different condition such as inlet concentration of saline solution, temperature, and flowrate. The Signal-to- Noise ratio and ANOVA analysis were used to define the impact of cooling tower working conditions on the corrosion rate. A regression had been modelled and optimized to identify the optimum level for the working parameters that had been founded to be 13%NaCl, 35ᴼC, and 1 l/min. Also a confirmation run to establish the precision of the Taguchi design for optimization the corrosion rate in cooling tower with high reliability. The contour plot had been applied to understand how it can be in finding the relation between the corrosion rate and the working parameters of the cooling tower.

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Tabaraki, Reza, and Mina Khodabakhshi. "Multidye Biosorption: Wavelet Neural Network Modeling and Taguchi L16 Orthogonal Array Design." CLEAN - Soil, Air, Water 45, no. 5 (April 18, 2017): 1500499. http://dx.doi.org/10.1002/clen.201500499.

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Gugulothu, Bhiksha, P. S. Satheesh Kumar, Bathula Srinivas, Alapati Ramakrishna, and S. Vijayakumar. "Investigating the Material Removal Rate Parameters in ECM for Al 5086 Alloy-Reinforced Silicon Carbide/Flyash Hybrid Composites by Using Minitab-18." Advances in Materials Science and Engineering 2021 (November 3, 2021): 1–6. http://dx.doi.org/10.1155/2021/2079811.

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This study explained about machining parameters of Al5086/Flyash/Sic hybrid metal matrix composites by the Taguchi technique. Al5086 reinforced in SiC (5–10 wt %) and 8% weight of flyash are retained as constants. The specimens are prepared with the help of the stir casting method. The material removal rate was examined by electrochemical machining under various parameters such as feed rate (0.15–0.30 mm/min), voltage (10–20 V), and electrolyte concentration (20–35 g/litre). Taguchi’s L16 orthogonal array was selected for design of experiments (DOEs), and 16 experimental tests were conducted to examine the effect of the selected machining parameters employed to identify the best optimal levels and also to investigate the effect of electrochemical machining parameters on MRR determined by Minitab-18.

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Sreeraj, P., T. Kannan, and Maji Subhasis. "Analysis of flux cored arc welding process parameters by hybrid taguchi approach." World Journal of Engineering 11, no. 6 (December 1, 2014): 575–88. http://dx.doi.org/10.1260/1708-5284.11.6.575.

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This paper presents calculation of the welding process parameters for obtaining optimal weld bead geometry in Flux Cored arc welding (FCAW) process. Bead on plate welding was carried as per L16 orthogonal array. In this paper weld bead geometry such as penetration, bead width, reinforcement and percentage of dilution of IS 2062 structural steel plates investigated. Two hybrid techniques firstly Taguchi method coupled with Grey relational analysis and secondly Taguchi method in combination with desirability function (DF) approach has been applied in this paper. Comparison made between two hybrid optimization techniques are made to analyze to choose the best method. Optimal results have been confirmed by confirmatory experiment which showed satisfactory results.

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Wang, Hong Jun, Dun Wen Zuo, Hong Miao, Hong Feng Wang, and Min Wang. "Effect of Discharge Parameters on Micro-Surface Topography of NAK80 by Mirror-Like Surface EDM." Key Engineering Materials 431-432 (March 2010): 438–41. http://dx.doi.org/10.4028/www.scientific.net/kem.431-432.438.

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The effects of discharge parameters on micro-surface topography in mirror-like surface electrical discharge machining (EDM) process were investigated, and the optimization scheme was obtained. The realization of the process parameters and their effects were analyzed by the Taguchi method. The surface roughness amd 2D micro-surface topography were measured. An L16 (44×23) Taguchi standard orthogonal array was chosen for the design of experiments. The level of importance of the parameters parameters on surface roughness was determined by using analysis of variance (ANOVA). The experimental results confirmed that peak current and open discharge voltage have more influence on the surface roughness on mirror-like surface EDMed workpiece in comparison with pulse duration and pulse off-time.

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Norouzbeigi, Reza, and Mohammad Edrissi. "Modification and optimization of nano-crystalline Al2O3 combustion synthesis using Taguchi L16 array." Materials Research Bulletin 46, no. 10 (October 2011): 1615–24. http://dx.doi.org/10.1016/j.materresbull.2011.06.014.

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Vijayaraj, R., S. Gowri, and A. S. S. Balan. "Study on Parametric Influence, Optimization and Modeling in Micro WEDM of Ti Alloy." Advanced Materials Research 76-78 (June 2009): 571–76. http://dx.doi.org/10.4028/www.scientific.net/amr.76-78.571.

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Micro WEDM is a versatile technique used to machine electrically conductive materials to make components for micro system technologies. This paper presents an attempt to develop an appropriate machining strategy for micro WEDM of titanium alloy using zinc coated copper wire of 70 µm diameter. Voltage, capacitance, feed, wire tension and wire speed were taken as input parameters. Surface finish is considered as the measure of process performance. Design of experiments was done using Taguchi L16 orthogonal array and optimization was carried out using Taguchi S/N ratio technique. The results obtained from the experiments were analyzed with ANOVA method to find the significance of each input factor on the surface quality. In addition ANN model was developed and trained.

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Shi, Wentian, Yanjun Hou, Chao Kong, and Yude Liu. "Optimization of cutting force and temperature during Ti6Al4V/Al7050 laminate composites elliptical vibration turning." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 233, no. 16 (May 29, 2019): 5585–96. http://dx.doi.org/10.1177/0954406219853315.

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In this paper, the Taguchi method has been used to optimize cutting parameters in the turning of Ti6Al4V/Al7050 laminates under elliptical vibration cutting. The turning tests were conducted based on L16 orthogonal array, which was designed by the Taguchi method. The analysis of variance was used to calculate impacts of cutting parameters on cutting forces and temperature. The analysis of results showed that the vibration frequency is the dominant factor on the cutting force and the vibration amplitude is a dominant factor affecting the temperature. The analysis of variance was also used to predict the cutting force and temperature in the turning of Ti6Al4V/Al7050 laminate. A good agreement between the predicted and the actual value can be found in the results.

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Ravikumar, A. R., K. S. Amirthagadeswaran, and P. Senthil. "Parametric Optimization of Squeeze Cast AC2A-Ni CoatedSiCpComposite Using Taguchi Technique." Advances in Materials Science and Engineering 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/160519.

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This paper mainly focusses on parametric optimization of squeeze cast AC2A Ni coatedSiCpcomposite through Taguchi technique. Composite samples have been cast through squeeze casting for each experimental trial based on L16 orthogonal array. From analysis of variance (ANOVA), it has been found that reinforcement percentage, squeeze pressure, and pressure duration were the casting parameters making significant improvement in the mechanical properties such as hardness and ultimate tensile strength. Reinforcement percentage and squeeze pressure have been identified as the most influencing parameters from the percentage contribution analysis. The optimum parametric setting has been determined through Taguchi technique. It has been confirmed that AC2A-Ni coatedSiCpcomposite obtained for the optimum parametric setting has exhibited better mechanical properties compared to the experimental trials.

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Teng, Li Wei, Ran Huang, Si Yu Zou, and Hui Mi Hsu. "Protection Effectiveness of Concrete Surface Treating Materials." Advanced Materials Research 834-836 (October 2013): 749–54. http://dx.doi.org/10.4028/www.scientific.net/amr.834-836.749.

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This study was aimed to evaluate the protection effectiveness of various concrete surface treating materials. Four types of surface treating materials and six parameters were selected. Compressive strength test, absorption test and permeability test were performed. Taguchi method was adopted to identify the key factors influencing the protection effectiveness provided by the surface treatment. L16(81Î26) orthogonal array was chosen to reduce the number of experiments. The major sequentially influential factors are type of coating material, w/c ratio of concrete substrate and coating thickness.

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Kou, Yalin, Ying Gao, Yuelin You, and Yurang Wang. "Numerical investigation for optimization of spark-ignition internal combustion engine knock by Taguchi-Grey method." Science Progress 105, no. 4 (October 2022): 003685042211292. http://dx.doi.org/10.1177/00368504221129280.

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This article carried out a numerical investigation of knock, using the Taguchi method and the grey relational analysis method to determine the importance and the contribution rate of multiple parameters on the peak pressure in the cylinder and the knock tendency under heavy load conditions. Four parameters, namely, compression ratio, spark timing, EGR rate, and inlet temperature, were set at four levels. The simulation was designed using a design of experiment method based on Taguchi's L16 orthogonal array. The simulation results of knock tendency and peak in-cylinder pressure were analyzed by the Taguchi-Grey method. According to the analysis results of the Taguchi-Grey method, the optimal level, the importance rank, and the contribution rate of factors on the knock tendency, peak in-cylinder pressure, and equivalent response were determined. The results demonstrate that the contribution rate of compression ratio, spark timing, EGR rate, and inlet temperature to the knock tendency is 45.9%, 22.98%, 19.46%, and 11.66%, respectively. The compression ratio, spark timing, EGR rate, and inlet temperature contribution to the peak in-cylinder pressure is 40.56%, 31.03%, 24.94 and 3.47%, respectively. The optimal conditions for the minimum knock tendency and the maximum peak in-cylinder pressure are obtained at CR1 EGR4 IT1 ST1 and CR4 EGR1 IT1 ST4, respectively.

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Rizvi, Saadat Ali, and Wajahat Ali. "Multi attribute decision making parametric optimization in weld bead by gas metal arc welding through grey relation analysis: A case study." International Journal of Engineering, Science and Technology 12, no. 2 (June 1, 2020): 59–66. http://dx.doi.org/10.4314/ijest.v12i2.7.

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The basic purpose of this study was to identify the effect of gas metal arc (GMA) welding process parameters on the weld bead geometry of IS2062 structural steel of A grade. L16 Taguchi orthogonal array (OA) design with the idea of S/N (signal to noise) ratio was applied to obtain objective function to be optimized within the experimental field. In this research work the Taguchi technique was joined with grey relational analysis to solve the multi-response optimization problem. ANOVA (Analysis of Variance) was applied to estimate the most significant input parameters which contribute toward the output parameters. Arc voltage, gas flow rate, and wire feed speed were carefully selected as input parameters, whereas weld bead, depth of penetration, and reinforcement were output respectively. The optimal GMA welding process parameters were identified in order to enhance the productivity and curtail the overall functional cost of weld. Keywords: grey-relational analysis (GRA), Taguchi technique, optimization, GMAW, ANOVA.

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Senthamilperarasu, S., P. Padmini, B. Shanmuganathan, N. R. R. Anbusagar, and P. Sengottuvel. "Effects of Electrical Process Parameters and Electrode Tool Geometries in EDM of Inconel825 Material Using Zirconium Copper Electrode." Applied Mechanics and Materials 766-767 (June 2015): 668–73. http://dx.doi.org/10.4028/www.scientific.net/amm.766-767.668.

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The Electrical Discharge Machine (EDM), parameters are investigated during the machining of Inconel 825 by using different tool geometry of zirconium copper electrode. Demand for better MRR, SR, and lower Tool Wear Rate are increasing recently for all materials, the low rigidity and high material removal rate of Inconel alloy offers a challenging task in obtaining output responses. The analysis of output responses such as Metal Removal Rate (MRR) of Inconel 825 material is carried out an excellent result can be obtained by using Taguchi L16 Orthogonal Array under different conditions of Parameters. The response of MRR is considered for improving machining efficiency. Optimal combination of parameters was obtained Taguchi optimization technique. The confirmation experiments results shows that the significant improvement in output responses was obtained. ANOVA have been used to analyze the contribution of individual parameters on Material Removal Rate. The experimental result demonstrates that the Taguchi method satisfies the practical requirements.

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Zhang, Ning, Ai Zhong Lu, Pan Cui, and Yun Qian Xu. "Investigating Properties of Haydite Concrete by Using Taguchi Method." Advanced Materials Research 261-263 (May 2011): 242–46. http://dx.doi.org/10.4028/www.scientific.net/amr.261-263.242.

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Functionally Graded Material (FGM), as a new concept in material fields, has been a research hotspot in recent years, the application of which can improve the stress state of structures. This paper tried to introduce FGM into the concrete material by investigating the factors which have influence on the concrete FGM. In this study, mix proportion parameters of haydite concrete are analyzed by using the Taguchi’s experiment design methodology. Mixtures are designed in a L16 (45) orthogonal array with three factors, namely, “volume fraction of haydite in total aggregate (H/A)”, “water/cementitious material (W/C) ratio”, and “air entraining agent (AE) content”. The mixtures are extensively tested. The experimental results are analyzed by using the variance analysis (ANOVA). The influence degree of three selected factors to performance indexes is obtained.

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Tang, Chao Wei, Shun Yuan Wang, Chiu Kuei Cheng, and Chung Ho Huang. "Producing Lightweight Aggregates by Incorporating Waste LCD Glass with Reservoir Sediments." Advanced Materials Research 610-613 (December 2012): 2287–91. http://dx.doi.org/10.4028/www.scientific.net/amr.610-613.2287.

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This paper reports the application of Taguchi optimization technique in determining process condition for synthetic lightweight aggregates by incorporating waste liquid crystal displays (LCD) glass with reservoir sediments. In the study the waste LCD glass cullet was used as an additive. It was incorporated with reservoir sediments to produce lightweight aggregates. Taguchi method with an L16(45) orthogonal array and five controllable 4-level factors (i.e., cullet content, preheat temperature, preheat time, sintering temperature, and sintering time) was adopted. Then, in order to optimize the selected parameters, the analysis of variance method was used to explore the effects of the experimental factors on the performances (particle density and water absorption) of the produced lightweight aggregates. The results showed that it is possible to produce high performance lightweight aggregates by incorporating waste LCD glass cullet with reservoir sediments.

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Hulipalled, Poornima, Veerabhadrappa Algur, V. Lokesha, and S. Naveen. "Wear Behaviour Of Modified ZA-27 Alloy: A Statistical Analysis." Journal of Mines, Metals and Fuels 70, no. 3A (July 12, 2022): 57. http://dx.doi.org/10.18311/jmmf/2022/30669.

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<p>This contemporary work has mainly engrossed on optimization of wear loss of modified zinc aluminium (ZA- 27) alloy with varying inputs like sliding speed, normal load, and sliding distance were used to conduct dry sliding wear experiments on a friction and wear testing equipment. The experiments were designed using a Taguchi mixed design L16 (4^2 ^1) orthogonal array. The impacts of wear feature (input) on wear loss (output) of ZA-27 alloy were deliberated using Taguchi and ANOVA. Best parameters for minimum wear loss are a normal load of 9.81N, a sliding speed of 2 m/s, and a sliding distance of 2500m, according to the findings. The contributions of sliding distance, sliding speed and normal load were 0.07%, 6.01% and 81.48%, respectively, according to ANOVA. For the modified ZA-27 alloy, Taguchi and ANOVA results reveal the same influence order. At higher loads and speeds, the worn surface reveals that the sub-surfaces fractured and broken, forming a platelike structure of wear debris.</p>

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Chen, Dyi-Cheng, and Yu-Kuan Yeh. "Using finite element analysis to discuss the study of drawing of servo stamping curve." Advances in Mechanical Engineering 13, no. 11 (November 2021): 168781402110610. http://dx.doi.org/10.1177/16878140211061015.

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This study employed different molding parameter combinations, the Taguchi method, ANOVA, and response surface methodology to perform experiments. Finite element analysis was executed to find the optimum molding parameters and increase the depth of drawing molding. The material is aluminum alloy 6016, and the servo press was adopted for the experiments. The factors influencing the drawing molding including punch fillet radius, die fillet radius, die clearance, molding curve, and mold temperature were determined. To find the optimum combination of parameters and to design 16 experimental combinations, the L16 orthogonal array of the Taguchi method was employed. According to the experimental results, the optimum parameters include punch fillet radius of 8.5 mm, die fillet radius of 8.5 mm, clearance of 1.5 t, curve 3, and the mold temperature of 20°C. Using the optimum parameter combination the molding depth could be increased greatly and the thickness ratio could be improved.

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Ayaz, M., N. Banimostafa Arab, and D. Mirahmadi Khaki. "Application of Taguchi Method for Investigating the Mechanical Properties of a Microalloyed Steel." Archives of Metallurgy and Materials 59, no. 3 (October 28, 2014): 853–58. http://dx.doi.org/10.2478/amm-2014-0144.

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Abstract In the present investigation, the effects of processing parameters, such as roughing, finishing and coiling temperatures, on the strain hardening exponent and yield strength of a Nb-microalloyed steel has been studied by Taguchi method. In order to achieve maximum n-value and yield strength, tests were done in a laboratorial pilot considering a L16 orthogonal array of Taguchi method under following condition: roughing temperature of 1000, 1050, 1100, 1150 °C, finishing temperature of 800, 850, 900, 950 °C, coiling temperature of 550, 600, 650, 700 °C. Then, analysis of variance and signal to noise ratios are performed on the measured data. The results indicated that the finishing and coiling temperatures were the major factor affecting the mechanical properties. The confirmation tests at optimal conditions approve the effectiveness of this robust design methodology in investigating the hot rolling process of the microalloyed steels.

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Solati, Ali, Nasrollah Bani Mostafa Arab, Akbar Mohammadi-Ahmar, and Hamid Reza Fazli Shahri. "Multi-criteria optimization of weld bead in pulsed Nd:YAG laser welding of stainless steel 316." Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering 233, no. 2 (February 16, 2018): 151–64. http://dx.doi.org/10.1177/0954408918756654.

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Laser welding is widely used for its advantages like deeper weld penetration, narrow heat affected zone, higher welding speeds and better weld quality with less damage to the workpiece compared to arc welding processes. The purpose of this paper is to determine the influence of major laser welding process parameters of beam pulse energy, travel speed and focal position on weld fusion zone geometry in stainless steel and optimizing these parameters to obtain maximum penetration and minimum weld width simultaneously. The experiments were planned according to Taguchi’s L16 orthogonal array. The grey-based Taguchi method was then employed to convert the multiple quality criteria into one single relational grade. Based on the calculated relational grade, Taguchi tools such as analysis of variance and signal-to-noise ratio were used to analyze and obtain the significant parameters and evaluate the optimum combination levels of the mentioned process parameters. Moreover, the effect of optimization procedure was studied on the microstructure and micro-hardness of the weldments. It was concluded that this optimization method can lead to elimination of chain ferrite precipitation and more uniform micro-hardness across the weld bead. The confirmation experiments verified that this method can effectively improve multiple performance characteristics and the results are reproducible in laser welding.

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Yeo, Chae-Eun, Minhye Seo, Dongju Kim, Cheonwoo Jeong, Hye-Sun Shin, and Suhyun Kim. "Optimization of Operating Conditions for CO2 Methanation Process Using Design of Experiments." Energies 14, no. 24 (December 13, 2021): 8414. http://dx.doi.org/10.3390/en14248414.

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In this study, the Taguchi experimental design method using an L16 orthogonal array was attempted in order to investigate the optimal operating conditions for the CO2 methanation process in Ni-based catalysts. The relative influence of the main factors affecting CO2 conversion and CH4 yield was ranked as follows: reactor pressure > space velocity > reaction temperature. The optimal combination of operating conditions was a reactor temperature of 315 °C, a pressure of 19 bar, and a space velocity of 6000 h−1. The effect of the H2/CO2 ratio on CO2 conversion and CH4 yield was further considered under these optimal operating conditions. Moreover, the catalyst was characterized in order to investigate the production of coke through Brunauer–Emmett–Teller analysis, thermogravimetric analysis, and scanning electron microscopy. The amount of coke produced after the reaction for approximately 24 h was ~2 wt.%. Therefore, the desired CH4 yield and long-term operational stability were successfully obtained using the Taguchi design method and catalyst characterization.

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Wunna, Kyaw, Kiohiko Nakasaki, Joseph Auresenia, Leonila Abella, and Peg-asa Gaspilo. "Enhancement of Delignification and Glucan Content of Sugarcane Bagasse by Alkali Pretreatment for Bioethanol Production." ASEAN Journal of Chemical Engineering 21, no. 2 (December 30, 2021): 133. http://dx.doi.org/10.22146/ajche.59093.

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The current work aimed to enhance the delignification of sugarcane bagasse (SCB) for bioethanol production. The optimization of alkali (sodium hydroxide) pretreatment parameters such as concentration and residence time was carried out by the Taguchi method using L16 orthogonal array with two factors and four levels. Sugarcane bagasse powder was mixed with sodium hydroxide (NaOH) solution (0.5-2 wt.%) and heated in an autoclave at 121°C and at varied times (30-120 min). From the statistical analysis of data, it was observed that delignification and glucan increased with the increased concentration and short time. The optimum parameters of NaOH pretreatment were 2 wt.% of NaOH concentration and 30 minutes of residence time. At the optimum conditions, 86.8% delignification and 46.6% glucan content of SCB were obtained. Thus, alkali pretreatment optimized by Taguchi design is the effective method to remove lignin and to increase cellulose or glucan content in sugarcane bagasse for facilitating the further catalytic hydrolysis in bioethanol production.

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Gope, Deepayan, and Sandeep Kumar Goel. "Design optimization of permanent magnet synchronous motor using Taguchi method and experimental validation." International Journal of Emerging Electric Power Systems 22, no. 1 (December 25, 2020): 9–20. http://dx.doi.org/10.1515/ijeeps-2020-0169.

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Abstract The critical dimensions of magnet and its positional parameters in a permanent magnet synchronous motor (PMSM) are optimized using Taguchi method. L16 Orthogonal Array (OA) was used in Taguchi method to optimize the magnet width w and thickness t, and magnet position parameters i.e., D1, O1, and Rib. Using the D-optimal design criterion, 52 data points for five factors were selected for optimization of power factor and efficiency using response surface methodology to perform the sensitivity analysis. Regression model for efficiency and power factor are modeled using analysis of variance results. A 1.07 kW capacity PMSM was designed based on the optimized parameters and making use of efficient computational resource, i.e., RMxprt tool of the ANSYS Maxwell software and drive system in ANSYS Simplorer for real time results and performance study. The performance of PMSM in terms of line current, load torque, and efficiency has been verified with the experimental results and the efficiency data available in literature. The results were found to be in a good agreement. Confirmation test results showed that the Taguchi method is very successful in the optimization of permanent magnet synchronous motor dimensions.

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Yerrawar, R. N., and R. R. Arakerimath. "Parametric Analysis of Magnetorheological Strut for Semiactive Suspension System Using Taguchi Method." Engineering, Technology & Applied Science Research 8, no. 4 (August 18, 2018): 3218–22. http://dx.doi.org/10.48084/etasr.2139.

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Magnetorheological (MR) strut is among the leading advanced applications of semi-active suspension systems. The damping force of MR damper is controlled by varying the viscosity of MR fluid. In this work, the viscosity of MR damper varies by changing the current from 0.5A to 0.7A. The design of experiments is taken into account in concert with the product/process development as one completely advanced tool. The parameters used for ride comfort optimization are sprung mass, spring stiffness, tire pressure, current, and cylinder material with two levels of each. Taguchi orthogonal array method is used to select the best results by parameter optimization with a minimum number of test runs. In this paper, from Taguchi L16 array and S/N ratio analysis, it is observed that the cylinder material with Al and CS for damper cylinder is a key parameter for performance measure of semi-active suspension system. From regression analysis, a linear mathematical model is developed for Al and CS as cylinder materials. The interaction of cylinder materials with all four parameters is plotted. The methodology implemented for measurement of acceleration as a ride comfort is as per IS 2631-1997. The more economical model of magnetorheological damper will motivate Indian auto industry to broader applications.

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Zolgharnein, Javad, Neda Asanjarani, and Tahere Shariatmanesh. "Taguchi L16 orthogonal array optimization for Cd (II) removal using Carpinus betulus tree leaves: Adsorption characterization." International Biodeterioration & Biodegradation 85 (November 2013): 66–77. http://dx.doi.org/10.1016/j.ibiod.2013.06.010.

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Wang, Hong Jun, Dun Wen Zuo, X. M. Wu, and M. Wang. "Relationship between the Fine Discharge Parameters and Craters EDMed of the NAK80 Steel." Key Engineering Materials 426-427 (January 2010): 85–88. http://dx.doi.org/10.4028/www.scientific.net/kem.426-427.85.

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The crater diameter and depth of the surface machined by electrical discharge machining (EDM) were used to evaluate indexes for EDMed surface. The influence of discharge parameters selected on the crater diameter and depth in mirror-like surface EDM process was investigated, and the optimization scheme was obtained. An L16 (44×23) Taguchi standard orthogonal array was chosen for the design of experiments. Experimental results indicate that peak current and open discharge voltage have more influence on the crater diameter and depth in comparison with pulse off-time and pulse duration. Also the results confirm that the crater depth is about 10 to 20 percent of its diameter while the near-mirror EDM conducted in the NAK80 steel with fine discharge parameters.

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Rao, Ch Maheswara, B. B. Ashok Kumar, and K. Venkata Subbaiah. "Application of MCDM/MADM Approach Entropy-TOPSIS in Turning of AA6061." International Journal of Advance Research and Innovation 9, no. 2 (2021): 126–32. http://dx.doi.org/10.51976/ijari.922120.

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In the present work, an experimental investigation has been conducted to optimize the cutting parameters during turning of AA6061-T6 on Lathe in dry conditions. CVD made coated carbide inserts (WEDIA CNMG 120404, CNMG 120408) are used as cutting tools. Cutting speed (1000, 2000, 3000, 4000 RPM), feed (0.05, 0.1, 0.15, 0.2 mm/rev), depth of cut (0.5, 1, 1.5, 2 mm) and Nose radius (0.4, 0.8 mm) were considered as fixed parameters. A mixed level orthogonal array (L16) from taguchi has been adopted for the experiments. The multiple performances of Material Removal rate (MRR) and Roughness characteristics (Ra and Rz) were optimized by a hybrid Entropy-TOPSIS approach. The results revealed that the nose radius has the most predominant effect on the multiple responses.

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Gacem, Amel, Moamen S. Refat, H. Elhosiny Ali, S. C. V. Ramana Murty Naidu, B. Beenarani, Pranjali Deole, S. Sandeep Kumar, S. Rama, Amnah Mohammed Alsuhaibani, and Abdi Diriba. "Optimization and Mechanical Characteristics of AA6061/Zirconia Nanocomposites Fabricated by Ultrasonic-Aided Stir Casting Method." Journal of Nanomaterials 2022 (September 20, 2022): 1–15. http://dx.doi.org/10.1155/2022/2453412.

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Using the Taguchi Grey response surface approach, this study investigates the effect of novel ultrasonic-aided stir casting conditions on the production of AA6061/zirconia nanocomposites. A Taguchi L16 orthogonal array was utilized to conduct the researches, which included ultrasonic power (1.75-2.5 kW), time (5-20 min), temperature (750-900°C), which can cause premature solidification, stir pressure (100-250 MPa), and reinforcement weight percentage (wt% of reinforcement). Ultrasonic-aided stir casting technique has five adjustable parameters (2-5). The ultimate tensile strength, elongation percentage, hardness, and size of the grain material were some of the metrics used to evaluate the process performance. It was decided to employ the response surface approach to model and optimize the numerous replies into one grey relational analysis. AA6061/zirconia nanocomposites were studied using statistical methods such as 3D surface plots and variance analysis. 2.2537 kW, 16.28 min ultrasonic duration, weight % of reinforcement of 1.9, stirring temperature of 700.73°C, and stirring pressure of 142.63 MPa were found to be the best parameter values.

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Lokeshwari, M., P. Vidya Sagar, K. Dilip Kumar, D. Thirupathy, Ram Subbiah, P. Ganeshan, A. H. Seikh, S. M. A. K. Mohammed, and David Christopher. "Optimization and Tribological Properties of Hybridized Palm Kernel Shell Ash and Nano Boron Nitride Reinforced Aluminium Matrix Composites." Journal of Nanomaterials 2022 (June 22, 2022): 1–9. http://dx.doi.org/10.1155/2022/8479012.

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The tribological properties of hybridized reinforced aluminium matrix composites were optimized using Taguchi and Grey Relational Analysis in conjunction with an L16 orthogonal array. The combination of palm kernel shell ash (PKSA) (0–5 wt. %) along with nano BN reinforcements was taken in interest. Loads and speeds (500, 750, 1000, and 1250 rpm) were employed as control parameters for the experiment. Using a Taber type abrasion machine, the wear samples were made, and the wear experiments were carried out. Speed and load were more important than the percentage of reinforcements in composites when it came to evaluating wear index and loss of volume. With respect to wear index and volume loss, Taguchi-relational Grey’s analysis identified A3B1C1 ( reinforcement = 5 wt. %; load = 500 g; speed = 500 rpm) as the optimal process parameter combination, with a reinforcement of 3 wt. %, load = 500 g, and speed = 500 rpm being the second-best option. Validation tests have revealed that the anticipated and experiment values at the optimal situations are both within the acceptable range. Performance is influenced more by speed than by load, which is influenced more by the weight percentage of composites, as demonstrated by the application of the Taguchi and Grey Relational Analysis methods.

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Natrayan, L., Raviteja Surakasi, Pravin P. Patil, S. Kaliappan, V. Selvam, and P. Murugan. "Optimizing Numerous Influencing Parameters of Nano-SiO2/Banana Fiber-Reinforced Hybrid Composites using Taguchi and ANN Approach." Journal of Nanomaterials 2023 (April 27, 2023): 1–14. http://dx.doi.org/10.1155/2023/3317584.

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High specific strength, strength-to-weight ratio, cheap cost, and other advantages, nanofillers are now the subject of most research on natural fibers. The current research’s main goal is to combine the Taguchi and artificial neural networks (ANN) approaches to maximize the mechanical characteristics of nanocomposites. The parameters: (i) nano-SiO2 wt%, (ii) banana fiber wt%, (iii) compression pressure in MPa, and (iv) compression molding temperature in °C were selected to achieve the objectives above. An L16 orthogonal array was used to optimize the process parameters based on the Taguchi technique. According to the intended experiment, mechanical characteristics, such as tension, bending, and impact strength, were assessed. The ANN was used to forecast outcomes that were optimized. The fiber mat thickness of banana fiber and the weight ratio of nano-SiO2 showed a considerable improvement in the mechanical characteristics of hybrid composites. According to the Taguchi technique, the most significant mechanical characteristics were 47.36 MPa tensile, 64.48 MPa flexural, and 35.33 kJ of impact under circumstances of 5% SiO2, 19 MPa pressure, and 110 °C. With 95% accuracy, ANN-predicted mechanical strength. The ANN forecast was more accurate than the regression model and experimental data. The above nanobased hybrid composites are mainly employed to satisfy the needs of the contemporary vehicle sector.

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Lee, Pin-Chan, Tzu-Ping Lo, Haoqing Sun, and I.-Jyh Wen. "An efficient method for determining the optimal convolutional neural network structure based on Taguchi method." Journal of Intelligent & Fuzzy Systems 39, no. 3 (October 7, 2020): 2611–25. http://dx.doi.org/10.3233/jifs-190275.

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Structure of convolutional neural network (CNN) applied for image recognition requires large numbers of tuning for designated datasets in practice. It is a time-consuming process to finally come up with a feasible structure for specific requirement. This paper proposes a method based on Taguchi method which can efficiently determine the optimal structure of hyperparameters combination. Five hyperparameters with four levels are defined as control factors and two indicators are chosen to measure the performance of CNN structure. L16 (45) orthogonal array is used to arrange the experiment. S/N ratio and main effect plot are used to identify the optimal structure (hyperparameter combination) of CNN. The classic case of MNIST is employed to verify the practicability of the proposed method. Results show that the proposed method can identify the optimal CNN structure efficiently and also rank the significance priority of hyperparameters.

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özdemir, Mustafa. "Optimization of Spring Back in Air V Bending Processing using Taguchi and RSM Method." Mechanics 26, no. 1 (February 12, 2020): 73–81. http://dx.doi.org/10.5755/j01.mech.26.1.22831.

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In this study, springback behaviour of Dp600 (Dual Phase Steel) sheet material was investigated using air V bending technique. As bending parameters, four different punch tip radii and four different sheet thicknesses were used. The springback values obtained from the experiments were compared with each other. At the same time, the experimental data were analysed with Response Surface Method (RSM) and Taguchi (L16) orthogonal array. The experimental data and the simulation results were found to be consistent. The signal-to-noise (S/N) ratio is used to determine the most appropriate parameter of minimum springback behaviour. Additionally, it is possible to estimate the optimal combination of the bending parameters. The signal-to-noise (S/N) ratio and the design of experiment (DOE) were utilised for the analysis of the experimental results. It was determined that the effect of these parameters on the air V bending process was based on springback behaviours.

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Adil, A., and A. Moutawakil. "The Quality Cost Reduction in Hollow Glass Manufacturing by Taguchi Method." Journal of Scientific Research 4, no. 1 (December 26, 2011): 155. http://dx.doi.org/10.3329/jsr.v4i1.7900.

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This paper presents the results of an experimental investigation carried out to optimize the weight of a glass manufacturing bottle of a product called CC35 by Taguchi method of parameter design. The experiments have been designed using an L16 orthogonal array with thirteen factors and two levels each. So the effects of each control factor level on the performance characteristic are analyzed using signal-to-noise ratios, mean response data and analysis of variance (ANOVA). Hence, an experimental setting is established; and to measure the performance of the Taguchi method on the manufacturing process before and after the experiment, three tools are used. The Xbar and range charts measure the stability of the process, the capability index estimates the process ability to deliver a good product in regard to the target value and customer specifications. The quality loss function (QLF) was used to determine the reduction in quality cost due to the elimination of deviation of the quality characteristic (weight) from the target value. Experiment shows that the Taguchi method applied on the glass bottle’s manufacturing process (CC35) ensures best stability and capability of the manufacturing process and reduces the weight which results in the quality cost down to 92%. Keywords: Hollow glass manufacturing; Taguchi; Quality loss function (QLF); Design of experiments; Optimization; Capability; ANOVA; Signal-to-noise ratio. © 2012 JSR Publications. ISSN: 2070-0237 (Print); 2070-0245 (Online). All rights reserved. doi: http://dx.doi.org/10.3329/jsr.v4i1.7900J. Sci. Res. 4 (1), 155-172 (2012)

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Amin, Azriszul Mohd, Mohd Halim Irwan Ibrahim, Rosli Asmawi, Najwa Mustapha, and Mohd Yussni Hashim. "Green Density Optimisation with Sustainable Sewage Fat as Binder Components in SS316L Feedstock of Metal Injection Moulding Process (MIM) by Taguchi Method." Applied Mechanics and Materials 773-774 (July 2015): 173–77. http://dx.doi.org/10.4028/www.scientific.net/amm.773-774.173.

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Metal injection moulding has gain much attention due to flexibility and high productivity of the plastics injection moulding with the powder metallurgy method of sintering. In order to gain better shape retention, optimum density of green part is required. This paper deals with the application of Taguchi optimisation technique on getting the optimum density for Metal Injection Moulding (MIM) components base on certain parameters in process injection. For this purposes only 3 process parameters were considered here including its interactions which are injection pressure, injection temperature and mould temperature. Since its more close to the final products these parameters were selected and other parameters will be kept constant. An orthogonal array of L16 experimental base design was conducted. Confirmation test will be done base on Signal-to-Noise (S/N) ratio and it Means.

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Maňková, Ildikó, Marek Vrabel', Daniel Kottfer, Mária Franková, and Miroslav Paľo. "Evaluation of Relationship between Cutting Parameters and Torque in Hole Making of Titanium Alloy." Solid State Phenomena 261 (August 2017): 17–21. http://dx.doi.org/10.4028/www.scientific.net/ssp.261.17.

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In terms of machinability are titanium alloys classified in the group of difficult to cut materials. The main factors determining this status are limited tool life, high generated cutting forces (torque) and temperature in cutting zone caused by low thermal conductivity as well as chemical reactivity with cutting tool. Solid carbide drills still remain as preferred choice in hole making process when machining Ti6Al4V alloy. Besides cutting conditions, tool and cutting edge geometry significantly affect the value of torque. Reduction of process energy requirements can be achieved by appropriate optimization of these parameters. Mathematical model describing influence of cutting speed, feed rate, clearance angle and cutting edge radius on investigated variable with high reliability coefficient (R2=96.72%) was found. Drilling experiments were designed and carried out using Taguchi orthogonal array L16.

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Hong, Tran Thi, Nguyen Van Cuong, Le Hong Ky, Quoc Tuan Nguyen, Banh Tien Long, Luu Anh Tung, Thanh Tu Nguyen, and Vu Ngoc Pi. "Multi-Criteria Optimization of Dressing Parameters for Surface Grinding 90CrSi Tool Steel Using Taguchi Method and Grey Relational Analysis." Materials Science Forum 998 (June 2020): 61–68. http://dx.doi.org/10.4028/www.scientific.net/msf.998.61.

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This paper introduces a study on multi-criteria optimization of the dressing parameters in surface grinding for 90CrSi tool steel. The aim of the study is to minimize the surface roughness, the normal shear force and maximize the grinding wheel life by using Taguchi method and Grey Relational Analysis (GRA). This multi-objective optimization is obtained by optimizing four four-level and two two-level dressing parameters in sixteen experiments based on an orthogonal array L16(44×22). From the results of the study, the optimum dressing parameters were proposed. Also, to evaluate the optimum dressing model, an experiment was performed. The results of the comparison between the predicted model and the experiment show that the proposed model has been proven and it can be used for further applying of surface grinding.

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Salahi, A., and T. Mohammadi. "Oily wastewater treatment by ultrafiltration using Taguchi experimental design." Water Science and Technology 63, no. 7 (April 1, 2011): 1476–84. http://dx.doi.org/10.2166/wst.2011.383.

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In this research, results of an experimental investigation on separation of oil from a real oily wastewater using an ultrafiltration (UF) polymeric membrane are presented. In order to enhance the performance of UF in API separator effluent treatment and to get more permeation flux (PF), effects of operating factors on the yield of PF were studied. Five factors at four levels were investigated: trans-membrane pressure (TMP), temperature (T), cross flow velocity (CFV), pH and salt concentration (SC). Taguchi method (L16 orthogonal array (OA)) was used. Analysis of variance (ANOVA) was applied to calculate sum of square, variance, error variance and contribution percentage of each factor on response. The optimal levels thus determined for the four influential factors were: TMP, 3 bar; T, 40˚C; CFV, 1.0 m/s; SC, 25 g/L and pH, 8. The results showed that CFV and SC are the most and the least effective factors on PF, respectively. Increasing CFV, TMP, T and pH caused the better performance of UF membrane process due to enhancement of driving force and fouling residence. Also, effects of oil concentration (OC) in the wastewater on PF and total organic carbon (TOC) rejection were investigated. Finally, the highest TOC rejection was found to be 85%.

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Ramavandi, Bahman, Ghorban Asgari, Javad Faradmal, Soleyman Sahebi, and Babak Roshani. "Abatement of Cr (VI) from wastewater using a new adsorbent, cantaloupe peel: Taguchi L16 orthogonal array optimization." Korean Journal of Chemical Engineering 31, no. 12 (September 4, 2014): 2207–14. http://dx.doi.org/10.1007/s11814-014-0172-6.

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Gajević, Sandra, Slavica Miladinović, Onur Güler, Hamdullah Çuvalcı, Nenad Miloradović, and Blaža https://orcid.org/0000-0003-4790-2856. "Multi response parameters optimization of ZA-27 nanocomposites." Advanced Technologies & Materials 46, no. 1 (June 30, 2021): 11–18. http://dx.doi.org/10.24867/atm-2021-1-003.

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In this study, Taguchi-Grey relational analysis was used to investigate and optimize wear parameters such as sliding speed, reinforcement of Gr and reinforcement of Al2O3, and their effect on dry sliding wear performance of ZA-27 nanocomposites. Nanocomposites were synthesized via hot pressing process with pre-processing mechanical milling. Sixteen experimental tests were performed based on design of experiments which was created with the help of Taguchi L16 orthogonal array. Grey relational analysis (GRA) was applied for determination of optimal combination of parameters in order to improve tribological characteristics. Optimal combination of factors, obtained with Taguchi Grey relational analysis was sliding speed of 100 rpm, reinforcement content of 1 vol.% Gr and reinforcement content of 4 vol.% Al2O3. Validation of results was done by using Artificial Neural Network (ANN). Developed model had overall regression coefficient 0.99836, and output values showed good correlation with experimental results. Based on this research, it can be observed that nanocomposites with reinforcement of Gr and Al2O3 can be potentially employed in many industries as a good substitute for the base alloy. In addition, as a result of the analysis of the worn surfaces, it was determined that with the increase of the Al2O3 ratio, the hard Al2O3 nanoparticles turned the dominant wear mechanism into abrasive. Also, it was determined that the Gr nanoparticles appeared on the abrasive wear lines.

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Karmiris, P., E. L. Papazoglou, B. Leszczyńska, K. Zagórski, and A. P. Markopoulos. "On machining of Calmax steel by EDM: an experimental study." IOP Conference Series: Materials Science and Engineering 1193, no. 1 (October 1, 2021): 012020. http://dx.doi.org/10.1088/1757-899x/1193/1/012020.

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Abstract Electrical Discharge Machining (EDM) is a non-conventional machining process in which the material removal occurs by utilizing thermoelectric energy. EDM’s inherent properties render it a feasible method in machining hard-to-cut materials, like tool steels. The current study presents an experimental study regarding the machining of Calmax, a chromium - molybdenum - vanadium alloyed steel, with EDM. The control parameters are the pulse-on current, the pulse-on time and the open-circuit voltage, while the machining performance was estimated in terms of the Material Removal Rate (MRR), the Tool Wear Ratio (TWR) and the Arithmetic Average Roughness (Ra). The experiments were carried out based on Taguchi DOE and an L16 orthogonal array design. Finally, for the aforementioned performance indexes, Analysis Of Variance (ANOVA) was performed to determine how the machining parameters impact the process’ results.

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Irawati, Nelvi, Nilda Tri Putri, and Alexie Herryandie Bronto Adi. "Strategi Perencanaan Jumlah Material Tambahan dalam Memproduksi Semen dengan Pendekatan Taguchi untuk Meminimalkan Biaya Produksi (Study Kasus PT Semen Padang)." Jurnal Optimasi Sistem Industri 14, no. 1 (April 21, 2016): 176. http://dx.doi.org/10.25077/josi.v14.n1.p176-191.2015.

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Cement is a construction material with a specific quality that must be meet standard requirements and customer requirements. Through a good and continuous quality control, it will produce cement with consistent quality as its Quality Planning. Cement quality is calculated after adding water by measuring its setting time, compressive strength developing, heat of hydration, expantion/shrinkage, and its durability to environment effect. In cement application, primary parameter to determine cement quality is its compressive strength. Some factors that affect compressive strength of cement are reactivity and amount of Tricalcium Silicate (C3S) of Clinker, Clinker freelime (free CaO), amount of SO3 in Cement, amount of additional materials (insoluble residue/IR and loss on ignition/LOI), and sieve on 45 µm residue of cement. This research is intended to find how insoluble residue/IR, loss on ignition/LOI, and amount of SO3 will affect compressive strength of cement. Various percentages of IR, LOI, and SO3 in cement will result different compressive strength. Taguchi Method is applied to determine material proportion. With Orthogonal Array calculation for 3 factors and 4 levels, it will result 16 calculation running times (L16 4**3). In laboratory scale, cement for this research has been being manufactured and then its compressive strength for 3 days, 7 days, and 28 days will be measured. Determination of optimal proportion will be calculated by statistic method for higher compressive strength and lower manufacturing cost. Keywords: compressive strenght, cement, taguchi method, proportionAbstrak Semen merupakan bahan konstruksi yang memerlukan kualitas yang sesuai dengan permintaan konsumen dan memenuhi persyaratan standar. Melalui pengendalian kualitas yang baik dan dilakukan secara terus menerus akan diperoleh kualitas semen yang stabil dan sesuai dengan perencanaan kualitas (Quality Planning). Kualitas semen diukur, berdasarkan performansinya saat penambahan air, yaitu bagaimana proses pengikatan semen, perkembangan kuat tekan, panas hidrasi, pemuaian/penyusutan volume dan ketahanan semen terhadap pengaruh lingkungan (durability). Dalam praktek pemakaian semen di lapangan, parameter utama untuk menentukan kualitas semen adalah parameter kuat tekan. Beberapa faktor yang mempengaruhi kuat tekan semen adalah reaktivitas dan jumlah trikalsium silikat (C3S) klinker, freelime klinker (CaO bebas), jumlah SO3 dalam semen, jumlah material tambahan (BTL dan LOI) dan kehalusan semen dalam sieve on 45 µm. Pada paper ini akan meneliti faktor yang mempengaruhi kuat tekan semen yaitu parameter BTL, LOI dan SO3. Variasi prosentase parameter BTL, LOI dan SO3 dalam semen akan mempengaruhi pencapaian kuat tekan. Penentuan proporsi material yang akan diteliti menggunakan metode Taguchi. Dengan perhitungan Orthogonal Array untuk 3 faktor dan 4 tingkatan level diperoleh jumlah penelitian yang dilakukan adalah 16 kali (L16 4**3). Pada saat ini sedang dilakukan pembuatan semen skala Laboratorium dan dilanjutkan dengan pengujian kuat tekan semen pada umur 3 hari, 7 hari dan 28 hari. Penentuan proporsi optimal dihitung secara metoda statistika untuk kuat tekan tinggi dan biaya produksi yang rendah.Kata kunci: kuat tekan, semen, metoda taguchi, proporsi

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Kohli, Deepak, Sangeeta Garg, A. K. Jana, and Mithu Maiti. "Synthesis of Graft Copolymers for Green Composite Films and Optimization of Reaction Parameters using Taguchi (L16) Orthogonal Array." Indian Chemical Engineer 59, no. 2 (February 8, 2016): 136–58. http://dx.doi.org/10.1080/00194506.2016.1139473.

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Mashhadani, Zuhair I. Al, and Muneam Hussein Ali. "Investigating the Effect of Tic Coating Layer on the Surface Roughness of Tungsten Carbide Cutting Tools Using Taguchi Design." NeuroQuantology 19, no. 12 (December 29, 2021): 30–36. http://dx.doi.org/10.14704/nq.2021.19.12.nq21193.

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In this study, external longitudinal turning operation was performed on (AISI 1020) steel to examine the influences of coating of the cutting tool on the machined surface roughness. The cutting tools used were coated and uncoated cemented carbide inserts. The tests are performed at four spindle speeds (80, 315, 500, and 800) rpm, at each of which two feed rates (0.2 and 0.5mm/rev) and two depth of cut (0.5 and 0.7mm) were used. Taguchi design of experiments (DOE) with a designed mathematical predictive model was used to investigate the effect of the coating layer and determine the machining conditions for minimum surface roughness. Accordingly, a suitable mixed orthogonal array L16 (3*4) was selected. The results showed that the surface roughness produced by using TiC coated inserts for identical machining conditions was lower than that produced due to uncoated tool by 41% to 53%. Regression analysis showed that the non-linear quadratic polynomial equation appears to be more suitable for representing the relation of spindle speed, feed rate, and depth of cut with the surface roughness. Taguchi method and the designed mathematical model had been used to predict the optimal cutting conditions. A confirmation test for the obtained results verified that the designed Taguchi experiments and the designed model successfully investigated the effect of the coating on the surface roughness. Data fit ver.9 and Mtb14 software had been employed to achieve the object of the presented work.

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Geetha, Narayanan Kannaiyan, Pappuula Bridjesh, and Perumal Sekar. "Influence of Ethanol as Gasoline Blend on Spark Ignition Engine." Oriental Journal Of Chemistry 35, no. 5 (October 5, 2019): 1491–99. http://dx.doi.org/10.13005/ojc/350503.

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This study analyzes the influence of ethanol as gasoline blend on a spark ignition engine and a mathematical tool is proposed based on multi attribute decision making approach to select optimal combination of operating parameters of a variable compression ratio multi fuel engine considering objective, subjective and integrated weights of attributes. Test fuels used were ethanol-gasoline blends having ethanol in proportions of 10, 20, 30 and 40 vol %. The compression ratio was varied as 6, 7, 8 and 9. The load was varied as 25, 50, 75 and 100%. A series of 16 experiments were conducted by adopting Taguchi based design of experiments resulting in L16 orthogonal array. The result of proposed method shows that the combination of compression ratio 6, ethanol-gasoline blend 30 vol% at a load of 75% is found to the best choice from among other trails and was validated using graph theory matrix approach

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Dirisenapu, Gopichand, Laxmanaraju salavaravu, Murahari kolli, Rajyalakshmi Bandi, Ashish kumar sahu, and Kosaraju Satyanarayana. "Optimization of process variables on Electrical Discharge Machining of novel Al7010/B₄C/BN hybrid metal matrix nanocomposite." E3S Web of Conferences 391 (2023): 01170. http://dx.doi.org/10.1051/e3sconf/202339101170.

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In this paper, determination of optimum EDM input variables like discharge current (DC), pulse on time (Pon), pulse off time (Poff), and gap voltage (GV) on responses like material removal rate (MRR) and surface roughness (SR) using Taguchi technique on the novel Al7010/2%B4C/2%BN hybrid metal matrix nanocomposite (HMMNC) manufactured through ultrasonic assisted stir casting (UASC) route. The various experiments were planned and carried out L16 orthogonal array and regression equations were established by using Analysis of variance (ANOVA) to examine the impact of pulse factors. The outcomes exposed that discharge current greatest effect factor on MRR and SR was found with % contribution of 82.07% and 86.86%. It is also identified that the optimum level conditions of pulse factors for MRR and SR is A4B4C1D1 and A1B1C4D4. The outcomes were further determined by utilizing confirmatory experiment. The machined surface morphology was observed through Scanning electron microscope (SEM).

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YILDIZ, Can, Faruk ÇAVDAR, and Erdoğan KANCA. "Toz Oranı ve EDM Parametrelerinin Toz Katkılı EDM ile İşlenen CrCoMo’nin Yüzey Kalitesine Etkileri Üzerine Bir Cevap Yüzeyi Çalışması." Karadeniz Fen Bilimleri Dergisi 13, no. 2 (June 15, 2023): 415–33. http://dx.doi.org/10.31466/kfbd.1216109.

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Abstract:

Due to the high mechanical strength of the metals used in implant manufacture, which makes them difficult to work with using other machining techniques, EDM is frequently employed in the production of implants. In this study, the effect of powder ratio and other EDM parameters used in the machining of CrCoMo alloy, which used in implant production widely, with powder added EDM on the surface roughness of the machined part was investigated through the response surface methodology. AISI 316L stainless steel was chosen as the electrode material, and Ti6V4Al was chosen as the additive powder, taking into account their biocompatibility properties. Using a Taguchi L16 array, an experimental design was created by selecting 4 levels for each parameter of additive ratio, discharge current, Ton, and Toff. The response surface method was used, along with the experimental data, to estimate how the parameters affected Ra and Rz.

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