Artykuły w czasopismach: „TAGUCHI ANALYSIS”

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Struzikiewicz, Grzegorz, Wojciech Zębala i Ksenia Rumian. "Application of Taguchi Method to Optimization of Cutting Force and Temperature during Turning of Difficult to Cut Materials". Key Engineering Materials 686 (luty 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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Raji, Akinwale Olusegun, i Sunday Ayoola Oke. "Enhancement of Maintenance Downtime Using Poisson Motivated-Taguchi Optimization Method". Al-Nahrain Journal for Engineering Sciences 22, nr 4 (20.12.2019): 294–306. http://dx.doi.org/10.29194/njes.22040294.

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In an original article, an addition was made to the well-known Taguchi’s methodical design literature by proposing how Poisson distribution may be incorporated into the Taguchi method for enhanced performance analysis in optimization. While the article is recent, it was found compelling enough to apply this novel concept of Poisson distribution to a growing area of maintenance research known as maintenance downtime analysis. Consequently, this paper contributes to the expanding research neighborhood through a Taguchi optimization method based on Poisson distribution related to the maintenance process optimization. A valuable method to optimize maintenance downtime was developed wherein the Poisson distribution was used to achieve the probability of maintenance downtime. An important foundation of the method is the Taguchi scheme. These elements were transformed into the factor-level design of the Poisson enhanced Taguchi scheme while the framework was tested using data from a process industry for validation. Interesting, the Taguchi's signal-to-noise quotient led to an enhanced set of limiting factors for better reliability of the system as G1H1I1J1K3. By interpretation, the following was found: downtime (204.61 mins), probability density function (0.00187), and cumulative density function (0.00776). The combination of these factors and levels will enhance maintenance downtime in the process industry as a result of their contributions. The outcome revealed the competence of the model to optimization schemes.

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Marakini, Vikas, Srinivasa P. Pai, Uday K. Bhat, Dinesh Thakur Singh i Bhaskar P. Achar. "High Speed Machining for Enhancing the AZ91 Magnesium Alloy Surface Characteristics Influence and Optimisation of Machining Parameters". Defence Science Journal 72, nr 1 (5.01.2022): 105–13. http://dx.doi.org/10.14429/dsj.72.17049.

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In this study, optimum machining parameters are evaluated for enhancing the surface roughness and hardness of AZ91 alloy using Taguchi design of experiments with Grey Relational Analysis. Dry face milling is performed using cutting conditions determined using Taguchi L9 design and Grey Relational Analysis has been used for the optimization of multiple objectives. Taguchi’s signal-to-noise ratio analysis is also performed individually for both characteristics and grey relational grade to identify the most influential machining parameter affecting them. Further, Analysis of Variance is carried to see the contribution of factors on both surface roughness and hardness. Finally, the predicted trends obtained from the signal-to-noise ratio are validated using confirmation experiments. The study showed the effectiveness of Taguchi design combined with Grey Relational Analysis for the multi-objective problems such as surface characteristics studies.

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Sriprateep, Keartisak, Puttipong Patumchat i Wasan Theansuwan. "Application of Taguchi Method in the Optimization of Cutting Parameters for Turning Metal Matrix Composite". Advanced Materials Research 189-193 (luty 2011): 3056–60. http://dx.doi.org/10.4028/www.scientific.net/amr.189-193.3056.

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The objective of this study was to utilize Taguchi methods to optimize surface roughness, tool wear and power required to perform the machining operation in turning metal matrix composites (MMC). The cutting parameters are analyzed under varying cutting speed, feed rates and cutting time. The settings of turning parameters were determined by using Taguchi’s experimental design method. Orthogonal arrays of Taguchi, the signal-to-noise (S/N) ratio, the analysis of variance (ANOVA) are employed to find the optimal levels and to analyze the effect of the turning parameters. Confirmation tests with the optimal levels of machining parameters are carried out in order to illustrate the effectiveness of Taguchi optimization method. The results show that the Taguchi method is suitable to solve the stated problem with minimum number of trials.

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Biswas, A., S. Bhaumik, Gautam Majumdar, Saurav Datta i S. S. Mahapatra. "Bead Geometry Optimization of Submerged Arc Weld: Exploration of Weighted Principal Component Analysis (WPCA)". Applied Mechanics and Materials 110-116 (październik 2011): 790–98. http://dx.doi.org/10.4028/www.scientific.net/amm.110-116.790.

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The present work attempts to overcome underlying assumptions in traditional Taguchi based optimization techniques highlighted in literature. Taguchi method alone fails to solve multi-response optimization problems. In order to overcome this limitation, exploration of grey relation theory, desirability function approach, utility theory etc. have been found amply applied in literature in combination with Taguchi method. But aforesaid approaches relies on the assumption that individual response features are uncorrelated i.e. independent of each other which are really impossible to happen in practice. The study takes into account this response correlation and proposes an integrated methodology in a case study on optimization of multiple bead geometry parameters of submerged arc weldment. Weighted Principal Component Analysis (WPCA) has been applied to eliminate response correlation and to convert correlated responses into equal or less number of uncorrelated quality indices called principal components. Based on individual principal components a Multi-response Performance Index (MPI) has been introduced to derive an equivalent single objective function which has been optimized (maximized) using Taguchi method. Experiments have been conducted based on Taguchi’s L25 Orthogonal Array design with combinations of process control parameters: voltage, wire feed, welding speed and electrode stick-out. Different bead geometry parameters: bead width, bead height, penetration depth and HAZ dimensions have been optimized. Optimal result has been verified by confirmatory test. The study highlights effectiveness of the proposed method for solving multi-objective optimization of submerged arc weld.

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Das, Dipayan, i Rashmi Thakur. "Taguchi analysis of fabric shrinkage". Fibers and Polymers 14, nr 3 (marzec 2013): 482–87. http://dx.doi.org/10.1007/s12221-013-0482-z.

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Nguyen, Vi, Faisal Altarazi i Thanh Tran. "Optimization of Process Parameters for Laser Cutting Process of Stainless Steel 304: A Comparative Analysis and Estimation with Taguchi Method and Response Surface Methodology". Mathematical Problems in Engineering 2022 (21.05.2022): 1–14. http://dx.doi.org/10.1155/2022/6677586.

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The research presents an analysis and comparison of the Taguchi Design and Response Surface Methodology (RSM) in optimizing the laser cutting machine parameters on dimension accuracy for stainless steel products. The paper studies effects of input factors such as cutting speed, nitrogen pressure, power, and frequency on the quality cutting of stainless steel (304) specimens. In this paper, two objectives are examined: targeting laser-cut edge to perpendicular 90 degrees and maximizing the cutting accuracy. The paper proposes a simple formula to optimize both targets by minimizing one new function definition, i.e., dimensional error. An L9 orthogonal array of Taguchi Methodology is adopted to minimize the number of experiments and shorten analysis time to achieve the optimal parameters. These results are compared with RSM. Box–Behnken Design (BBD) type of RSM requires more experiments than the Taguchi approach. RSM regression models as the quadratic functions of the control factors are developed to minimize the dimensional error of cutting products. Then, Analysis of Variance (ANOVA) and graphs will be analyzed to determine the influences of variables on the responses. Both Taguchi’s method and RSM found that the most influential factor on dimension accuracy is cutting speed, followed by laser power. While Taguchi provides good graphic visualization for quickly predicting the optimum condition, it cannot examine the interaction effects as RSM due to the lack of data. Besides, RSM reveals the percentage contribution of factors on dimensional error. Cutting speed has a maximum contribution, i.e., 39% of the total. The interaction of cutting speed and power contributes 16% of the total. In this study, RSM can predict optimum conditions more accurately than Taguchi. There are misleading results from the Taguchi method compared with RSM. However, the difference between these objective values is insignificant. The validation experiments show that the Taguchi method can be a practical approach for optimization problems. It can help reduce cost and time and achieve the desired optimal outputs. With cutting problems requiring high precision, the RSM method is highly recommended for identifying optimal parameter settings and interaction effects. With problems that their experimental runs consume high cost and time, Taguchi can be a suitable method for screening the significant variables. Although Taguchi and RSM are used widely for optimization problems in many fields, choosing the right methodology for various objectives is still a concern with different arguments and needs further research. Therefore, this study could be an adequate reference for parameter optimization problems in various fields.

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Abdulrusool, Ahmed, i Sarah Jalal Mosa. "The Effective of Pressure and Sintering Temperature for Hardness Characteristics of Shape Memory Alloy by Using Taguchi Technique". Journal of Engineering 22, nr 1 (1.01.2016): 159–71. http://dx.doi.org/10.31026/j.eng.2016.01.10.

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This paper presents the Taguchi approach for optimization of hardness for shape memory alloy (Cu-Al-Ni) . The influence of powder metallurgy parameters on hardness has been investigated. Taguchi technique and ANOVA were used for analysis. Nine experimental runs based on Taguchi’s L9 orthogonal array were performed (OA),for two parameters was study (Pressure and sintering temperature) for three different levels (300 ,500 and 700) MPa ,(700 ,800 and 900)oC respectively . Main effect, signal-to-noise (S/N) ratio was study, and analysis of variance (ANOVA) using to investigate the micro-hardness characteristics of the shape memory alloy .after application the result of study shown the height hardness at the level 2 of pressure and level 1 of temperature (A2B1) by taguchi technique at magnitude value 500MPa and 700 ºC. The best effective factor at ANOVA has pressure 36.39%. the interaction given the best pressure 500 MPa and Temperature 800 ºC.

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Gothwal, Pushpa, Ajay Kumar i Rishi Dewanagan. "Taguchi Analysis of Walking Pathway for Power Optimization". E3S Web of Conferences 399 (2023): 04004. http://dx.doi.org/10.1051/e3sconf/202339904004.

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The optimization of power for sustainable resources become very crucial factor now a days due to increase the demand of energy. This paper presents the PZT tile power optimization with respect to subject weight and sensor quantity and mechanical and electrical characteristic of sensor. The most efficient combination of components and levels is thus predicted, and the results are analysed using ANOVA and Taguchi’s statistical optimization technique. The analysis predicts that the PZT Tile produced more output for the rigidity 44.97%, subject weight 30.09%, frequency contribution 12.39%, and sensor number 3.35%. The contribution of weight and rigidity influence the output responses. It also provides descriptions of the other combination of parameters that are feasible. In this study, R-sq. is discovered to be larger than 90%, i.e., 91.185% for voltage; hence, the model is suitable. Finally, the Taguchi optimization method can be utilised to forecast the ideal power incorporation factor to maximize the power according to the application of PZT walking tile.

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Anggamawarti, Merlina Fitri, Luana Putri Alviari, Yudistira Sanjiwani i Victor Yuardi Risonarta. "Quality Analysis of 5.56 mm Ammunition Defect using Taguchi Method: A Review". International Journal of Mechanical Engineering Technologies and Applications 1, nr 1 (27.01.2020): 29. http://dx.doi.org/10.21776/mechta.2020.001.01.5.

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In a manufacturing company, the quality loss is estimated by considering the number of defects. Taguchi is a method that finds strong conditions in uncontrollable environments of the field. Taguchi quantifies quality loss through a quality loss function. The Taguchi method particularly is focused on industrial processes. The method is actualizing quality philosophy for continuous quality improvement and cost reduction to improve manufacturing performance. The analysis is designed using Taguchi technique which is related to quality. A high-quality product has a minimal defect. The Taguchi method is used to analyze several defects of ammunition to reduce the number of ammunition defects. Ammunition consists of several parts are called projectile or bullet, cartridge case, propellant charge, and primer. Every part of its process possibly contributes to any defect. The defect type in every part of ammunition consists of critical, major, and minor defects. This paper is focused on cartridge case caliber 5.56 mm defect by using the Taguchi method. The quality characteristic of the experiment result used is smaller the better. Critical to Quality (CTQ) is determined to get a critical defect for cartridge cases such as split and perforated case. The influencing factors are brass cup thickness, hardness case after annealing, and annealing temperature. The Taguchi method is effective in reducing defects for the ammunition process to produce a good quality product.

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Abdo, Basem M. A., S. M. Darwish, A. M. Al-Ahmari i A. M. El-Tamimi. "Optimization of Process Parameters of Rotary Ultrasonic Machining Based on Taguchis Method". Advanced Materials Research 748 (sierpień 2013): 273–80. http://dx.doi.org/10.4028/www.scientific.net/amr.748.273.

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In this Research, Taguchi optimization methodology is used to optimize Rotary Ultrasonic Machining (RUM) parameters for face milling of zirconia ceramic. The influence of the RUM parameters such as vibration frequency, vibration amplitude, spindle speed, feed rate, and depth of cut on cutting force and material removal rate (MRR) is studied. A three-level orthogonal array table is used to determine the signal-to-noise (S/N) ratios based on Taguchis design of experiments. Furthermore, analysis of variance (ANOVA) has been performed to study the relative significance of the different factors on cutting force and MRR of zirconia ceramic. Finally, verification tests were carried out to compare the predicted values of the outputs with their experimental values in order to confirm the effectiveness of the Taguchi Optimization.

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Suherman, Hendra, Jaafar Sahari i Abu Bakar Sulong. "Optimization Mixing Parameters on the Electrical Conductivity of Polymer Nanocomposites Based on the Taguchi Method". Applied Mechanics and Materials 52-54 (marzec 2011): 31–36. http://dx.doi.org/10.4028/www.scientific.net/amm.52-54.31.

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The objective of this paper is optimization mixing parameters in terms of mixing process of polymer nanocomposites using Taguchi method. Considering the mixing parameters such as rotational speed, mixing temperature and mixing time were performed to reveal the electrical conductivity data. Taguchi method was used by electrical conductivity analyses based on three level factorial designs. Orthogonal arrays of Taguchi, the signal-to-noise (S/N) ratio, and the analysis of variance (ANOVA) were utilized to find the optimal levels and the effect of mixing parameters on electrical conductivity. Confirmation analysis measurements with the optimal levels of mixing parameters were carried out in order to show the optimum electrical conductivity of Taguchi method. The result shows that Taguchi method is effective in solving the quality problem occurred on the mixing parameters of the polymer nanocomposites.

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Ramkumar, Ramakrishnan, i Arumugam Ragupathy. "Optimization of cooling tower performance analysis using Taguchi method". Thermal Science 17, nr 2 (2013): 457–70. http://dx.doi.org/10.2298/tsci110528024r.

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This study discuss the application of Taguchi method in assessing maximum cooling tower effectiveness for the counter flow cooling tower using expanded wire mesh packing. The experiments were planned based on Taguchi?s L27 orthogonal array .The trail was performed under different inlet conditions of flow rate of water, air and water temperature. Signal-to-noise ratio (S/N) analysis, analysis of variance (ANOVA) and regression were carried out in order to determine the effects of process parameters on cooling tower effectiveness and to identity optimal factor settings. Finally confirmation tests verified this reliability of Taguchi method for optimization of counter flow cooling tower performance with sufficient accuracy.

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Joseph, Samuel, Muhammad U. Kaisan i Yinka S. Sanusi. "Taguchi-Grey Optimization of Tribological Characteristics of Blended SAE 40 Lubricant". KIU Journal of Science, Engineering and Technology 2, nr 1 (4.04.2023): 84–96. http://dx.doi.org/10.59568/kjset-2023-2-1-11.

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A high proportion of lubricants used in automobile engines are mineral-based oil. The depletion of oil reserves and the concerns (non-biodegradable, toxic and environmental issues) of mineral based lubricants prompted the research for a viable alternative. Vegetable oil has been proposed as a potential substitute for the mineral-base lubricants due to its natural and eco-friendly characteristics. In this study, optimization of tribological characteristics of blended SAE 40 produced from SN 500 mineral oil, Shea butter bio-base oil, and viscosity improver was carried out on pin-on-disc tribometer. Taguchi and Taguchi-grey relational method were used to optimize the load and sliding speed to obtain the minimum specific wear rate and coefficient of friction (COF) for the blended SAE 40. The optimum parameters using Taguchi’s and Taguchi-grey relational analysis methods are 8 N load and 5 cm/s sliding speed. At this optimum condition, the minimum specific wear rate of 0.007 mm3 /Nm and minimum coefficient of friction of 0.001 were observed. The developed mathematical model was validated against the experimental results. Deviation of about 5% was obtained in the wear rate model using Taguchi model. Also, the correlation of about 89.77% was observed between the model developed using Taguchi-grey relational model and experimental values. This implies that the two models can be used to predict the tribological properties of blended SAE 40 lubricant.

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K., Shunmugesh, i Panneerselvam Kavan. "Investigation and optimization of machining parameters in drilling of carbon fiber reinforced polymer (CFRP) composites". Pigment & Resin Technology 46, nr 1 (3.01.2017): 21–30. http://dx.doi.org/10.1108/prt-03-2016-0029.

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Purpose This paper aims to attempt to use grey relational analysis (GRA) coupled with Taguchi technique for the optimization of machining parameters (cutting speed, feed rate and drill bit type) with multiple performance characteristics of delamination factor, surface roughness and circularity in drilling of carbon fiber-reinforced polymer (CFRP) along the fiber direction. Design/methodology/approach Machining trials involved drilling of 6-mm diameter holes on 8-mm-thick CFRP plates was performed according to L27 (313) Taguchi’s orthogonal array technique using the drill material of high speed steel (HSS), Titanium Nitride (TiN) and Titanium Aluminium Nitride (TiAlN). Analysis of variance has been used find the effect, percentage contribution and significance of the process parameters, namely, cutting speed, feed rate and drill bit type. Findings The Taguchi technique is combined with the GRA to find the optimum process parameter which minimizes the delamination factor, surface roughness and circularity within the range of parameters investigated. The effective implementation of the hybrid approach helps to produce quality and defect free holes. Originality/value Experimental investigation on delamination factor, surface roughness and circularity in drilling of CFRP along the fiber direction using Taguchi-GRA was seldom reported.

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Padhi, P. C., S. S. Mahapatra, S. N. Yadav i D. K. Tripathy. "Optimization of Correlated Quality Characteristics in WEDM Process using Taguchi Approach Coupled with Principal Component Analysis". Journal for Manufacturing Science & Production 13, nr 3 (25.10.2013): 199–208. http://dx.doi.org/10.1515/jmsp-2013-0011.

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AbstractIn the present work, an attempt has been made to solve the correlated multi-response optimization problem of wire electrical discharge machining (WEDM) of EN-31 steel. The experimental investigation have been carried out to evaluate the best process environment which could simultaneously satisfy multiple quality characteristics such as material removal rate (MRR), surface roughness (Ra) and dimensional deviation (DD). In view of the fact that traditional Taguchi method cannot solve a multi response optimization problem, weighted principal component analysis (WPCA) has been coupled with Taguchi method to overcome this limitation. The multiple responses are converted into a single response using principal component analysis so that influence of correlation among the responses can be eliminated. Values of individual principal components multiplied by their priority weight were added to calculate the composite principal component defined as multi-response performance index (MPI). MPI is used as response for optimization using Taguchi's L27 orthogonal array. From analysis of variance, pulse on time was found to be the most significant parameter. Finally, the optimal result obtained was verified through confirmatory test.

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Varun Kumar, A., M. Balasrinivasan i Mohamed Dulkiflee. "Grey Relational Analysis and Taguchi Method for the Parametric Optimization of Single Pass Friction Stir Welded Aluminum Alloy 7075-T6 Joints". Applied Mechanics and Materials 852 (wrzesień 2016): 331–36. http://dx.doi.org/10.4028/www.scientific.net/amm.852.331.

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Friction Stir Welding (FSW) is a solid state joining technique for both similar and dissimilar combination of materials. However, there is a scope in optimizing the process parameters involved in the FSW process. Taguchi based Grey Relational Analysis (GRA) has an impact in better optimization results when compared with other optimization techniques. In this present work totally 9 samples of single pass friction stir welded aluminium alloy were taken for the optimization process. The samples were subjected to various tool speeds and traverse speeds by keeping the axial force as constant. The experiments were planned using Taguchi’s orthogonal array selector in order reduce the multi responses involved in the FSW process. The final optimized values were correlated with the experimental values. It is revealed from results that the optimized process parameter showed a good agreement with the experimental values. The present work has also proved the feasibility of GRA in combination with Taguchi technique for better enhancement in the weldment and optimization of the process parameters.

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Patel, Shival, Kishan Fuse, Khushboo Gangvekar i Vishvesh Badheka. "Multi-Response Optimization of Dissimilar Al-Ti Alloy FSW Using Taguchi - Grey Relational Analysis". Key Engineering Materials 833 (marzec 2020): 35–39. http://dx.doi.org/10.4028/www.scientific.net/kem.833.35.

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This article presents multi-response optimization of friction stir welding of dissimilar Al 6061-Titanium alloy using Taguchi based grey relational analysis. Taguchi’s L9 orthogonal array was used for designing the experiments. Process parameters considered for the experiments were rotational speed, traverse speed and tilt angle. Ultimate tensile strength, yield strength, and % elongation were the responses measured which all are larger-the-better characteristics. Based on grey relational grade, optimum levels of process parameters were identified and further ANOVA analysis was carried out to find most significant process parameter.

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Coteaţă, Margareta, i Gheorghe Creţu. "ECDM Drilling Process Analysis via Taguchi Method". Applied Mechanics and Materials 657 (październik 2014): 337–41. http://dx.doi.org/10.4028/www.scientific.net/amm.657.337.

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Electrochemical discharge machining (ECDM) is based on synergetic action of anodic dissolution with erosive effect of electrical discharges in material removal process. Drilling by ECDM can be applied for hard to be cut materials, when no drilling by cutting or no EDM machine is available.

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Dechjarern, Surangsee, i Maitri Kamonrattanapisut. "Sheet Metals Forming Die Design Using Finite Element Analysis and the Taguchi Method". Applied Mechanics and Materials 621 (sierpień 2014): 195–201. http://dx.doi.org/10.4028/www.scientific.net/amm.621.195.

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Sheet metal deep-draw die is primarily constructed with draw bead, which is then modified based on trial and error to obtain a successful forming without splitting. This work aims at a robust design of forming die using numerical analysis and the Taguchi method. A three dimensional elastoplastic finite element model of a sheet metal forming process of SPCEN steel has been successfully developed using the material flow stress obtained from the modified Erichsen cup test. The model was validated with the actual forming experiment and the results agreed well. The influence of draw bead parameters on splitting and thinning distributions were examined using the Taguchi method. Four parameters, namely the friction coefficient, draw bead height, radius and shoulder radius were investigated. The Taguchi main effect analysis and ANOVA results show that the height and shoulder radius of the draw bead are the most important factor influencing the thinning distribution. Applying the Taguchi method and using the minimum thinning percentage as the design criteria, the optimum die design was identified as height, radius, shoulder radius and the friction coefficient of 4, 8, 8 mm and 0.125 respectively. The verified finite element model using the optimum die design was conducted. The predicted Taguchi response was within 5.9% from finite element analysis prediction. The improvement in the reduction of thinning percentage was 22.35%.

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Abdo, Basem M. A., S. M. Darwish i A. M. El-Tamimi. "Parameters Optimization of Rotary Ultrasonic Machining of Zirconia Ceramic for Surface Roughness Using Statistical Taguchi’s Experimental Design". Applied Mechanics and Materials 184-185 (czerwiec 2012): 11–17. http://dx.doi.org/10.4028/www.scientific.net/amm.184-185.11.

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Taguchi optimization methodology is used to optimize Rotary Ultrasonic Machining (RUM) parameters for the milling of zirconia ceramic. The influence of the RUM parameters such as vibration frequency, vibration amplitude, spindle speed, feed rate, and depth of cut on the surface roughness is studied. A three-level orthogonal array table is used to determine the signal-to-noise (S/N) ratios based on Taguchi’s design of experiments. Furthermore, analysis of variance (ANOVA) has been performed to study the relative significance of the different factors on the surface roughness of zirconia ceramic. Finally, verification tests were carried out to compare the predicted values of the surface roughness with their experimental values in order to confirm the effectiveness of the Taguchi Optimization.

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Jin, Jie, H. Y. Yu i S. Lv. "Optimization of Plastic Injection Molding Process Parameters for Thin-Wall Plastics Injection Molding". Advanced Materials Research 69-70 (maj 2009): 525–29. http://dx.doi.org/10.4028/www.scientific.net/amr.69-70.525.

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The effects of the process parameters on the warpge and shrinkage of parts in different thickness are analyzed by Taguchi optimization method. Taguchi optimization method was used for exploiting mold analysis based on three level factorial designs. Orthogonal arrays of Taguchi, the signal-to-noise (S/N) ratio, the analysis of variance (ANOVA) are utilized to find the optimal levels and the effect of process parameters on warpage. It can be concluded that Taguchi method is suitable to solve the quality problem of the injection-molded thermoplastic parts.

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Hsiao, Kai-Yu, Chih-Sheng Lin, Wan-Ming Li, Shih-Hsun Huang, Yu-Ting Cho, Bing-Ru Peng, Lung-Kwang Pan i Lung-Fa Pan. "Optimizing the Ultrasound Image Quality of Carotid Artery Stenosis Patients via Taguchi’s Dynamic Analysis and an Indigenous Water Phantom". Applied Sciences 12, nr 19 (28.09.2022): 9751. http://dx.doi.org/10.3390/app12199751.

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This study optimized the ultrasound image of carotid artery stenosis using Taguchi dynamic analysis and an indigenous water phantom. Eighteen combinations of seven essential factors of the ultrasound scan facility were organized according to Taguchi’s L18 orthogonal array. The seven factors were assigned as follows: (1) angle of probe; (2) signal gain; (3) resolution vs. speed; (4) dynamic range; (5) XRES; (6) zoom; (7) time gain compensation. An indigenous water phantom was customized to satisfy the quantified need in Taguchi’s analysis. Unlike the conventional dynamic Taguchi analysis, an innovative quantified index, the figure of merit (FOM), was proposed to integrate four specific quality characteristics, namely (i) average difference between the practical scan and theoretically preset area (78.5, 50.2 and 12.6 mm2) of stenosis, (ii) standard deviation of the average, (iii) practical scan’s sensitivity β to various stenosis diameters (10, 8, and 4 mm), and (iv) correlation coefficient r2 of the linear regressed sensitivity curve. The highest value (FOM = 0.413) was furnished by the optimal combination of factors on 18 groups under study, yielding high r2 and low β or standard deviation values and the best quality of ultrasound images for the further clinical diagnosis. The comparison between FOM and the conventional signal-to-noise (S/N) ratio in Taguchi’s analysis revealed that FOM compiled more quality characteristics that were superior by nature to fulfill the practical need in clinical diagnosis. The alternative choice in ultrasound scan optimization can be based on stenosis diameter variation from a different perspective to be explored in the follow-up study.

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Chen, F.-C., i H.-H. Huang. "Taguchi-fuzzy-based approach for the sensitivity analysis of a four-bar function generator". Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 220, nr 9 (1.09.2006): 1413–21. http://dx.doi.org/10.1243/0954406jmes241.

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This article aims to use the Taguchi method coupled with fuzzy logic on the tolerance sensitivity analysis of a four-bar function generator. Experiments designed by the Taguchi method were carried out for obtaining the mean and the maximum displacement variations of the function generator. By converting these two variations into a multiple performance index by means of fuzzy logic, the effect of each control factor on the mechanism quality was further analysed. The Taguchi method coupled with fuzzy logic was used to systematically analyse the effect of individual control factors on the displacement variations of a four-bar function generator from which the key dimensions were identified.

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Kou, Yalin, Ying Gao, Yuelin You i Yurang Wang. "Numerical investigation for optimization of spark-ignition internal combustion engine knock by Taguchi-Grey method". Science Progress 105, nr 4 (październik 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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Sengottuvel, P., V. Palanisamy, J. Arun, N. R. R. Anbusagar i J. Hameed Hussain. "EDM Process Parameters Optimization Using Taguchi Method". Applied Mechanics and Materials 766-767 (czerwiec 2015): 867–72. http://dx.doi.org/10.4028/www.scientific.net/amm.766-767.867.

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In this paper , the parameters of Electrical Discharge Machine (EDM) are investigated during the machining of Inconel 718 by using different sizes of circular Aluminum electrode. Demand for better surface finishes are increasing recently for all materials, the low rigidity and high material removal rate of Inconel alloys offers a challenging task in obtaining better Surface Finish. The analysis of surface characteristics like Surface Roughness (SR) of Inconel 718 material is carried out an excellent surface finish can be obtained by setting the machining parameters at optimum level. Experimentation was carried out by using Taguchi’s L9 orthogonal array under different conditions of parameters. The response of SR is considered for improving the machining efficiency. Optimal combination of parameters was obtained Taguchi Optimization technique. The confirmation experiments results shows that the significant improvement in Surface Finish was obtained. ANOVA have been used to analyze the contribution of individual parameters on Surface Roughness. The experimental result demonstrates that the Taguchi method satisfies the practical requirements.

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Ohdar, Rajkumar, Md Israr Equbal i Vinod Kumar. "Die Stress Optimization Using Finite Element and Taguchi Method". Materials Science Forum 762 (lipiec 2013): 319–24. http://dx.doi.org/10.4028/www.scientific.net/msf.762.319.

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In this study, finite element simulation and the Taguchi method are employed to optimize the die stress in hot closed die forging process. Investigations are carried out for forging of automotive spring saddle by including all realistic process parameters. The research involved analyzing the effects of flash thickness, billet temperature, die temperature and friction coefficient on effective die stress by means of computer simulation. To obtain the result the forging process was modeled in CATIA V5, 3D Solid Modeling Software, simulated in DEFORMTM 3D Software, and statistically setup and examined using Taguchis orthogonal array. Analysis of variance (ANOVA) is employed to determine significant parameters.

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Lin, Z.-C., i C.-B. Yang. "Combining the Taguchi Method with an Artificial Neural Network to Construct a Prediction Model for Near-Field Photolithography Experiments". Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 224, nr 10 (22.04.2010): 2223–33. http://dx.doi.org/10.1243/09544062jmes2055.

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For analysis using the Taguchi method, the L18 or L27 orthogonal array is usually adopted. However, this requires many experiments (18 or 27 runs, respectively), which consumes time and increases costs. In addition, while traditional analysis with the Taguchi model provides a better group of processing parameters, it cannot predict the unexperimented results. This article proposes a progressive Taguchi neural network model that combines the Taguchi method with an artificial neural network and constructs a prediction model for near-field photolithography experiments. This approach establishes a Taguchi neural network that requires fewer experimental runs, while achieving a high predictive precision. The analytical results of the progressive Taguchi neural network model show that, because there are few training examples in the stage 1 preliminary network, there is a significant fluctuation in the network prediction values. In the stage 2 refining network, the prediction effect in the region around the Taguchi factor level points is not bad, but the prediction in the region more remote from the learning and training examples has greater error. The stage 3 precise network can provide optimal prediction results for the full field.

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Fearn, T. "Box-Cox Transformations and the Taguchi Method: An Alternative Analysis of a Taguchi Case Study". Applied Statistics 41, nr 3 (1992): 553. http://dx.doi.org/10.2307/2348089.

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Radovanović, Miroslav, Laurentiu Slatineanu, Predrag Janković, Dušan Petković i Miloš Madić. "Taguchi Approach for the Optimization of Cutting Parameters in Finish Turning of Medical Stainless Steel". Applied Mechanics and Materials 809-810 (listopad 2015): 153–58. http://dx.doi.org/10.4028/www.scientific.net/amm.809-810.153.

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Optimization of cutting parameters in finish turning of medical stainless steel 316LVM with coated carbide tools using Taguchi method is proposed in this paper. Four cutting parameters namely, insert radius, depth of cut, feed and cutting speed are optimized with considerations of surface roughness as performance characteristic. The effects of cutting parameters on the surface roughness were experimentally investigated. Experimentation was conducted as per Taguchi's orthogonal array. Four cutting parameters with three levels are arranged in L27 orthogonal array. The orthogonal array, measured values of surface roughness, signal-to-noise ratios and analysis of variance are employed to study the surface roughness. Based on the analysis, the optimal cutting parameter settings were determined. Through the confirmation test with optimal cutting parameter settings the effectiveness of the optimization approach are validated. The obtained results have shown that Taguchi method is suitable for optimizing the cutting parameter levels with the minimum number of experiments.

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R, Rakasita, Karuniawan BW i Anda Iviana Juniani. "OPTIMASI PARAMETER MESIN LASER CUTTING TERHADAP KEKASARAN DAN LAJU PEMOTONGAN PADA SUS 316L MENGGUNAKAN TAGUCHI GREY RELATIONAL ANALYSIS METHOD". J@ti Undip : Jurnal Teknik Industri 11, nr 2 (24.06.2016): 97. http://dx.doi.org/10.14710/jati.11.2.97-106.

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Optimasi parameter adalah teknik yang digunakan pada proses manufaktur untuk menghasilkan produk terbaik. Penelitian ini bertujuan untuk mengoptimasi parameter CNC laser cutting, yaitu titik fokus sinar laser, tekanan gas cutting dan cutting speed untuk mengurangi variasi terhadap respon kekasaran dan laju pemotongan pada material SUS 316L. Masing-masing parameter memiliki 3 level dan pada penelitian ini menggunakan matriks orthogonal L9 (34). Metode ANOVA dan Taguchi digunakan untuk menganalisis data hasil percobaan. Optimasi kekasaran minimum permukaan dan laju pemotongan maksimum pada proses laser cutting dilakukan dengan menggunakan Grey relational analysis. Eksperimen konfirmasi digunakan untuk membuktikan hasil optimal yang telah didapatkan dari metode Taguchi Grey relational analysis. Hasil eksperimen menunjukkan bahwa Taguchi Grey relational analysis efektif digunakan untuk mengoptimasi parameter pemesinan pada laser cutting dengan multi respon. AbstractParameter optimization is used in manufacturing as an indicator to produce the best manufacturing product. This paper studies an optimization parameters of CNC laser cutting such as focus of laser beam, pressure cutting gases and cutting speed for reducing variation of surface roughness and cutting rate on material SUS 316L. Based on L9(34) orthogonal array parameters, it is analized using ANOVA based on Taguchi method. In order to optimaze the minimum surface roughness and maximum cutting rate in laser cutting process, it is used Grey relational analysis. The confirmation experiments used to validate the optimal results that has done by Taguchi method. The results show that the Taguchi Grey relational analysis is being effective to optimize the machining parameters for laser cutting process with two responses.

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Yip, WS, S. To i WK Wang. "Design of an optical lens for LED lighting using a hybrid principal components analysis–Taguchi method". Lighting Research & Technology 51, nr 5 (6.06.2018): 788–802. http://dx.doi.org/10.1177/1477153518780512.

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Optical lenses are extensively used to enhance the performance of light-emitting diodes. Both uniformity and efficiency are important performance indicators in lens design; however, improving uniformity always lowers efficiency. In this study, the Taguchi method and principal component analysis (PCA) are integrated to optimise the lens shape for two quality objectives, namely, uniformity and efficiency. The Taguchi method was conducted twice to establish the signal/noise ratio of the two quality characteristics for calculating the principal components in PCA. Then, the optimum parameters obtained by the Taguchi method were processed by PCA. The correlated individual responses were converted to the principal components which explained most of the dataset and were considered as the single quality characteristic for the optimisation. The combined method resolved the difficulties of optimising multiple quality characteristics without sacrificing any particular quality characteristic while the traditional Taguchi method can only be applied to the single quality characteristic. A LED light source fitted with a secondary lens designed by the proposed method showed over 92% light efficiency and an improvement in uniformity.

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Karna, Shyam Kumar, Ran Vijay Singh i Rajeshwar Sahai. "Analysis of Hardness by Parametric Optimization of Gravity Die Casting for A-356 Aluminium Alloy Using Taguchi Technique". International Journal of Manufacturing, Materials, and Mechanical Engineering 5, nr 1 (styczeń 2015): 21–34. http://dx.doi.org/10.4018/ijmmme.2015010102.

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This paper attempts to investigate Hkb Box (A-356 aluminium alloy) manufactured by Gravity Die casting process. Main objective of this research paper is to find the most influencing parameters on hardness of gravity die casting. Taguchi Technique is a powerful and efficient method for optimizing the process, quality and performance output of manufacturing processes. Taguchi's orthogonal array method and S/N Ratio were used for experiments and it was found that Pouring Time and Pouring Temperature are the most influencing parameters to improve hardness. Finally ANOVA was used to confirm the design of experiment.

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Kumar, K., i J. S. Senthilkumaar. "Analysis and Optimization of Output Parameters using Taguchi Design Analysis". Recent Patents on Mechanical Engineering 7, nr 2 (7.07.2014): 169–82. http://dx.doi.org/10.2174/2212797607666140620003400.

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Yazdani, M., A. Daryabari, A. Farshi i S. Talatahari. "Application of Taguchi Method and Genetic Algorithm for Calibration of Soil Constitutive Models". Journal of Applied Mathematics 2013 (2013): 1–11. http://dx.doi.org/10.1155/2013/258721.

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A special inverse analysis method is established in order to calibrate soil constitutive models. Taguchi method as a systematic sensitivity analysis is conducted to determine the real values of mechanical parameters. This technique was applied on the hardening soil (as an elastoplastic constitutive model) which is calibrated using the results from pressuremeter test performed on “Le Rheu” clayey sand. Meanwhile, a genetic algorithm (GA) as a well-known optimization technique is used to fit the computed numerical results and observed data of the soil model. This study indicates that the Taguchi method can reasonably calibrate the soil parameters with minimum number of numerical analyses in comparison with GA which needs plenty of analyses. In addition, the contribution of each parameter on mechanical behavior of soil during the test can be determined through the Taguchi method.

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Al-Refaie, Abbas, Tai-Hsi Wu i Ming-Hsien Li. "Data envelopment analysis approaches for solving the multiresponse problem in the Taguchi method". Artificial Intelligence for Engineering Design, Analysis and Manufacturing 23, nr 2 (11.02.2009): 159–73. http://dx.doi.org/10.1017/s0890060409000043.

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AbstractThis research proposes a procedure for solving the multiresponse problem in the Taguchi method utilizing two data envelopment analysis (DEA) approaches, including comparisons of efficiency between different systems (CEBDS) and bilateral comparisons. In this procedure, each experiment in Taguchi's orthogonal array (OA) is treated as a decision-making unit (DMU) with the multiresponses as the inputs and outputs for all DMUs. For each factor of OA, the DMUs are divided into groups, each at the same factor level. Then, DMU's efficiency is separately evaluated by the CEBDS approach and the bilateral comparisons approach for each factor. The level efficiency, or the average of the efficiencies obtained by the CEBDS and the bilateral comparisons approaches for that factor level, is then used to determine the optimal factor levels for multiresponses. Three case studies are provided for illustration; in all, the proposed procedure provides the largest total anticipated improvements. Hence, it should be considered the most effective among all approaches applied in the case studies, including principal component analysis, DEA-based ranking approach, and others. In addition, the proposed procedure is more effective and requires less computational effort when the DMU's efficiency is evaluated by the bilateral comparisons approach instead of the CEBDS approach. In conclusion, the proposed procedure will provide great assistance to practitioners for solving the multiresponse problems in manufacturing applications on the Taguchi method.

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Modi, Manoj, i G. Agarwal. "Optimization of Electro-Discharge Diamond Surface Grinding Process Parameters with Multiple Performance Characteristics of Ti-6Al-4V Using Grey-Taguchi Approach". Advanced Materials Research 622-623 (grudzień 2012): 14–18. http://dx.doi.org/10.4028/www.scientific.net/amr.622-623.14.

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The present paper reports the optimization of process parameters in hybrid machining process (Electro-Discharge Diamond Surface Grinding) of Ti-6Al-4V with multiple performance characteristics using the combination of Grey Relational Analysis (GRA) and Taguchi approach. The various input process parameters in this work are wheel speed (RPM), duty factor, current (ampere) and pulse on-time (µs). In this research work nine experiments have been conducted according to the Taguchi’s L9orthogonal array on in-house-designed & fabricated EDDSG set-up. The machining parameters wheel speed (S), duty factor (DF), current (I) and pulse on-time (Ton) are optimized with consideration of multiple performance characteristics such as material removal rate (MRR) and average surface roughness (Ra). The confirmation experimental results show that combined Grey-Taguchi approach enhances the machining performance in EDDSG of Ti-6Al-4V.

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Jiang, Yang, Shuming Chen, Dengfeng Wang i Jing Chen. "Multi-Objective Optimization of Acoustical Properties of PU-Bamboo-Chips Foam Composites". Archives of Acoustics 42, nr 4 (20.12.2017): 707–14. http://dx.doi.org/10.1515/aoa-2017-0073.

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Abstract In this study, an effective optimization approach was proposed to improve acoustical behaviors of PU foams. The important parameters of PU foams: content of water, silicone oil and catalyst A1 were chosen and their effects on sound absorption coefficient and transmission loss of PU foams were studied by using Taguchi methods. In addition, bamboo chips were incorporated into PU foams as fillers to improve the acoustical properties of PU foams. Four controlled factors: the content of water, silicone oil, catalyst A1 and bamboo chips with three levels for each factor were chosen and Taguchi method based on orthogonal array L9(34) was employed to conduct the experiments. Based on the results of Taguchi’s orthogonal array L9(34), signal-to noise (S/N) analysis was used and developed to determine an optimal formulation of PU-bamboo-chips foam composites.

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Hussain, Md Ashfaq, K. K. Prasad, Anil S. Jadhav i Gangadhar Biradar. "Parametric Optimization of CNC End Milling Process on Aluminium 6063 Alloy Using Grey Based Taguchi Method". Applied Mechanics and Materials 867 (lipiec 2017): 148–56. http://dx.doi.org/10.4028/www.scientific.net/amm.867.148.

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This investigation focused on the multi-response optimization of CNC end milling of Aluminium 6063 Alloy material using Grey relational analysis and Taguchi method. Experiments were designed based on L9 Taguchi Orthogonal array, to arrive at an optimum parameter combination within the experimental domain. The spindle speed (S), feed rate (f) and depth of cut (d) which are known to have considerable effect on the selected responses i.e. surface roughness (Ra) and Material removal rate (MRR) and are considered as control parameters. The single objective optimization using Taguchi method more often results in conflicting requirements on control variables. To overcome this challenge, the Taguchi approach followed by Grey relational analysis was applied to solve this multi response optimization problem. The significance of these factors on overall quality characteristics of the milling process has also been evaluated quantitatively with the Analysis of variance method (ANOVA). Optimal results were verified through confirmation experiments. This shows feasibility of the Grey relation analysis in combination with Taguchi technique for continuous improvement in product quality in manufacturing industry and the suitability of the method to optimize the multi objective problems involved in CNC milling.

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Hulipalled, Poornima, Veerabhadrappa Algur, V. Lokesha i S. Naveen. "Wear Behaviour Of Modified ZA-27 Alloy: A Statistical Analysis". Journal of Mines, Metals and Fuels 70, nr 3A (12.07.2022): 57. http://dx.doi.org/10.18311/jmmf/2022/30669.

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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.

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Raguraman, D., D. Muruganandam i L. A. Kumaraswamidhas. "Friction Stir Welding of Aluminum and Magnesium Alloys—Experimental Investigation and Optimization Using Hybrid Grey Relational Analysis and Principal Component Analysis". Journal of Computational and Theoretical Nanoscience 15, nr 2 (1.02.2018): 509–20. http://dx.doi.org/10.1166/jctn.2018.7111.

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Friction stir welding of dissimilar materials is investigated experimentally in this work and optimization is performed by applying a hybrid Taguchi-Grey relational analysis-Principal component analysis to maximize the tensile strength and hardness of the weld bead. Two dissimilar metals AA6061 and AZ61 is friction stir welded and considered for the experimentation. Experimental matrix is designed using Taguchi's Design of Experiment (DOE). Optimum inputs rotational speed, axial load and transverse speed is obtained by applying the hybrid optimization technique. Statistical analysis of Multi Response Performance Index (MRPI) through Analysis of Variance (ANOVA) shows that axial load is the significant parameter that contributes by 75.67% towards MRPI, followed by transverse speed and rotational speed. Confirmation experiment with optimum condition produces a better friction stir welding joint with higher tensile strength and hardness.

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Ibrahim, Musa Alhaji, Hüseyin Çamur, Mahmut A. Savaş i Alhassan Kawu Sabo. "Multi-Response Optimization of the Tribological Behaviour of PTFE-Based Composites via Taguchi Grey Relational Analysis". Strojniški vestnik - Journal of Mechanical Engineering 68, nr 5 (25.05.2022): 359–67. http://dx.doi.org/10.5545/sv-jme.2021.7466.

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Polymer-based composites find applications in several areas because of their exceptional properties. This article deals with Taguchi grey relational optimization method of abrasive parameters (load (L), grit size (G) and sliding distance (D)) and their influence on abrasive performance of reinforced polytetrafluoroethylene (PTFE) composites. A Taguchi L9 orthogonal array was designed, and nine experimental tests were conducted based on the Taguchi designed experiments. A pin-on-disc tribology machine was used for the experiments. The coefficient of friction (µ) and abrasive specific wear rate (Aw) were recorded for each experiment. An analysis of variance (ANOVA) was performed to establish the significance and percentage contribution of each parameter affecting the abrasive wear performance. Results from the Taguchi-grey-relational method showed that the optimal combination of parameters was achieved at load of 10 N, grit size of 1000 mesh, and sliding distance of 350 m (coded as L3G1D3). ANOVA findings revealed that a grit size with 67.69 % as the most influential on the abrasive performance of polymer-based composites. Validation tests performed using the optimal combination parameter showed an enhancement of 55.22 % in grey relational grade.

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Miladinovic, Slavica, Sandra Velickovic, Blaza Stojanovic i Ruzica Nikolic. "Optimization of Parameters of a Planetary Gearbox Using the Taguchi-Grey Relational Analysis". Communications - Scientific letters of the University of Zilina 20, nr 3 (30.09.2018): 30–35. http://dx.doi.org/10.26552/com.c.2018.3.30-35.

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Optimization of parameters of central gears of a planetary gearbox was performed in this study. Since the optimization of multi-performance characteristics is more complex compared to optimization of a single-performance characteristics, the Taguchi-Grey analysis was used. That approach combines the Taguchi orthogonal array L27 with the Grey relational analysis to determine the influence of the material, module and gear width on the safety coefficient of the planetary gearbox. A Grey relational grade obtained from the Grey relational analysis is used as the performance characteristics in the Taguchi method and Analysis of variance (ANOVA). The optimal combination of parameters for the safety coefficient values was obtained, when the value of the Grey relational grade is 1. Based on the ANOVA analysis, it was established that the most influential parameter is the module, then the gear width and the least influential one is the material.

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Fei, Ng Chin, Nik Mizamzul Mehat i Shahrul Kamaruddin. "Practical Applications of Taguchi Method for Optimization of Processing Parameters for Plastic Injection Moulding: A Retrospective Review". ISRN Industrial Engineering 2013 (24.06.2013): 1–11. http://dx.doi.org/10.1155/2013/462174.

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Determining the optimal processing parameter is routinely performed in the plastic injection moulding industry as it has a direct and dramatic influence on product quality and costs. In this volatile and fiercely competitive market, traditional trial-and-error is no longer sufficient to meet the challenges of globalization. This paper aims to review the research of the practical use of Taguchi method in the optimization of processing parameters for injection moulding. Taguchi method has been employed with great success in experimental designs for problems with multiple parameters due to its practicality and robustness. However, it is realized that there is no single technique that appears to be superior in solving different kinds of problem. Improvements are to be expected by integrating the practical use of the Taguchi method into other optimization approaches to enhance the efficiency of the optimization process. The review will shed light on the standalone Taguchi method and integration of Taguchi method with various approaches including numerical simulation, grey relational analysis (GRA), principal component analysis (PCA), artificial neural network (ANN), and genetic algorithm (GA). All the features, advantages, and connection of the Taguchi-based optimization approaches are discussed.

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Hariri-Ardebili, M. A., i P. Boodagh. "Taguchi design-based seismic reliability analysis of geostructures". Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 13, nr 1 (28.05.2018): 34–52. http://dx.doi.org/10.1080/17499518.2018.1478106.

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Rajyalakshmi, G. "Optimization of WEDM Process Using Taguchi Utility Analysis". Indian Journal of Science and Technology 11, nr 23 (1.06.2018): 1–19. http://dx.doi.org/10.17485/ijst/2018/v11i23/114377.

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WEI, J., F. L. NG, M. L. NAI, H. XIE, P. C. LIM i C. K. WONG. "WAFER BONDING PROCESS BASED ON THE TAGUCHI ANALYSIS". International Journal of Computational Engineering Science 04, nr 02 (czerwiec 2003): 331–34. http://dx.doi.org/10.1142/s1465876303001204.

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Logothetis, N. "The role of data transformation in taguchi analysis". Quality and Reliability Engineering International 4, nr 1 (styczeń 1988): 49–62. http://dx.doi.org/10.1002/qre.4680040112.

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Shukla, Rahul, i Brajesh Kumar Lodhi. "Experimental Analysis of Machining Parameters in WEDM of AISI D3 Steel Using Taguchi Method". Applied Mechanics and Materials 799-800 (październik 2015): 343–50. http://dx.doi.org/10.4028/www.scientific.net/amm.799-800.343.

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Wire Electric Discharge Machining (WEDM) is a non-traditional process of material from conductive material to produce parts with intricate shape and profiles. In the present work, an attempt has been made to optimization the machining conditions for maximum material removal rate, minimise kerf width based on (L9 Orthogonal Array) Taguchi method. Experiments, based on Taguchi’s parameters design, were carried out to effect of machining parameters, like pulse-on-time (TON), pulse-off-time (TOFF), peak current (IP), and wire feed (WF) on the material removal rate and kerf width. The importance of the cutting parameters on the cutting performance outputs is determined by using the variance analysis (ANOVA). The variation of MRR and kerf width with cutting parameters is modeled by using a regression analysis method.

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Vishal Kaushik i Naren Shankar. "Statistical Analysis using Taguchi Method for Designing a Robust Wind Turbine". Journal of Advanced Research in Fluid Mechanics and Thermal Sciences 100, nr 3 (31.12.2022): 92–105. http://dx.doi.org/10.37934/arfmts.100.3.92105.

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The current paper presents the tolerance and parameter design for robust wind turbine. By utilizing the traditional Taguchi method along with its extensions, there is a way of designing a robust wind turbine by considering multiple objectives, constraints and design variables. The concept of design of experiment (DOE) i.e.; Taguchi Method is used to evaluate the constrained and unconstrained problems for the optimization. The current work produces an inexpensive and simpler approach for robust vertical axis wind turbine. DOE (Taguchi Method) of L-9 Orthogonal Array having four parameters along with their three levels i.e; type of NACA aerofoil, Reynolds number, Mach number and Angle of attack are utilized for the optimization and to derive the corresponding optimal values of CL, CD and CP. The parameters like coefficient of lift, drag and power for the wind turbine was determined by Q-Blade software, which is use for designing of wind turbine blades. From the obtained results the inferences drawn were: for CL the major impact was due to Reynolds number and least was due to angle of attack, for CD the major and minor impacting factors were angle of attack and Mach number respectively and for CP the most and least influenced parameters were Reynolds number and Mach number respectively. Also, for obtaining the optimized parameters, the Grey based Taguchi method was utilized which has the combination of orthogonal arrays and grey relational analysis. The analysis showed that the NACA0021 has the maximum lift coefficient of 1.0361 and the minimum drag coefficient of 0.02190 in the case of NACA0021 aerofoil.

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