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EN
In experimental design, the classical Taguchi method is often used to improve processes that have only one main outcome. However, in real manufacturing, particularly during machining, it is often necessary to consider several important characteristics simultaneously. This study uses a combination of the Taguchi method and Grey Relational Analysis (GRA) to improve the CNC dry turning of Inconel 625. The goal is to make the process more efficient while also ensuring better surface quality, which are two goals that often work against each other. The approach uses data from Taguchi designs to calculate signal-to-noise ratios (S/N) and combines them with GRA to create a single measure of overall performance. To understand how each process setting affects the final result, an analysis of variance (ANOVA) is performed. The best settings found were a depth of cut of 1.0 mm, a cutting speed of 80 m/min, and a feed rate of 0.08 mm/rev. These settings give the best balance between removing material quickly and keeping the surface smooth. Tests done to examine these results confirmed that the method works well, with the actual results matching the expected outcomes closely.
EN
3D printing has become a key manufacturing method in modern production, yet the process remains complex due to material melting, extrusion behavior, and numerous interacting technical parameters. The final geometry and dimensional accuracy of printed parts are highly sensitive to factors such as material properties, printing settings, and machine precision, often leading to defects when parameters are not optimized. This study investigates the influence of four major FDM printing parameters - nozzle temperature, printing speed, printing angle, and infill percentage - on the shrinkage behavior of Polylactic Acid (PLA), one of the most widely used polymers for technical components. Each parameter was examined at three levels using a Taguchi L27 orthogonal array, resulting in 27 experimental conditions. For every condition, five specimens were fabricated, and each specimen’s length was measured at three positions to determine the average shrinkage value. The Taguchi method was applied to evaluate shrinkage through the signal-to-noise (S/N) ratio, yielding an optimal S/N value of 26.0206 with the corresponding optimal parameter set: nozzle temperature 210°C, printing speed 80 mm/s, printing angle 90°, and infill density 100%. ANOVA results further confirmed that nozzle temperature, printing angle, and infill percentage significantly affect shrinkage, while printing speed has a comparatively minor impact. The ranking of factor influence from highest to lowest is: printing angle, nozzle temperature, infill density, and printing speed. This study provides a systematic and practical optimization framework for minimizing shrinkage in PLA 3D-printed products, offering valuable guidance for enhancing dimensional accuracy and manufacturing quality in the additive manufacturing industry.
EN
The paper presents the results of the multi-objective optimization of the brushed permanent magnet motor for a car window lifting system. The issue was executed by the use of orthogonal Taguchi tables. Application of the Taguchi method leads to simplified optimization. This is because, during the optimization process, the analysis tasks were computed for pre-defined numbers of the experiments. The number of experiments depends on a number and an assigned variability of a design variables. The motor was described by three variables, describing its structure of the magnetic circuit. The optimality criteria were formed by different combinations of functional parameters of the device. The selected functional parameters are taken into account in the multi-objective function. The mathematical model of the brushed DC motor includes (a) the electromagnetic field equations with non-linearity of the ferromagnetic material, (b) equations of the external supply circuit, and (c) equations of mechanical motion. The selected results of optimization were presented and discussed.
PL
W artykule przedstawiono wyniki wielokryterialnej optymalizacji magnetoelektrycznego silnika prądu stałego do napędu szyb w samochodach. Zadanie wykonano przy wykorzystaniu metody tablic Taguchi. Wspomniany algorytm pozwala na skrócenie czasu trwania obliczeń, bowiem przetwarzanie danych dotyczących rozkładu pola elektromagnetycznego oraz parametrów funkcjonalnych, uwzględnianych w wielkokryterialnej funkcji celu, wykonywane są dla zadanej liczby eksperymentów. Obiekt został opisany przy wykorzystaniu trzech zmiennych decyzyjnych. W procesie optymalizacji uwzględniono wybrane parametry funkcjonalne urządzenia. Model matematyczny silnika magnetoelektrycznego zawierał równania pola elektromagnetycznego z uwzględnieniem nieliniowości obwodu magnetycznego, zależności matematyczne zewnęt
EN
The Taguchi method was used to determine the optimal conditions for obtaining methac-ryloyloxyethylphosphorylcholine/selenium (MPC/selenium) nanocomposites and to investigate their anticancer activity on oral squamous cell carcinoma (OSCC) cells. The MTT test was used to assess the cytotoxicity and viability of OSCC cells at different concentrations of MPC/selenium. Due to their high anticancer activity (94.9%), the developed nanocomposites can be used as new therapeutic agents in the treatment of oral squamous cell carcinoma.
PL
Metodą Taguchi określono optymalne warunki otrzymywania nanokompozytów meta-kryloyloksyetylofosforylocholina/selen (MPC/selen) i zbadano ich aktywność przeciwnowotworową na komórki płaskonabłonkowego raka jamy ustnej (OSCC). Do oceny cytotoksyczności i żywotności komórek OSCC, przy różnych stężeniach MPC/selen, stosowano test MTT. Ze względu na wysoką aktywność przeciwnowotworową (94,9%) opracowane nanokompozyty mogą znaleźć zastosowanie jako nowe środki terapeutyczne w leczeniu płaskonabłonkowego raka jamy ustnej.
EN
To determine the optimal conditions for obtaining poly(lactic-co-glycolic) acid with selenium (PLGA/selenium) nanocomposites the Taguchi method was used. FT-IR, Raman spectroscopy, XRD and FESEM analysis confirmed the nanocomposites’ structure. The nanocomposite containing 6 mg/mL of selenium obtained in the process where the mixing time was 75 min showed the highest antibacterial activity against Streptococcus mutans. The obtained nanocomposites are an innovative approach to im-proving oral health and can be used as antibacterial materials for medical and dental applications.
PL
Metodą Taguchi określono optymalne warunki otrzymywania nanokompozytów poli(kwasu mlekowego-co-glikolowego) z selenem (PLGA/selen) i oceniono ich aktywność przeciwbakteryjną przeciwko Streptococcus mutans. Najwyższą aktywnością przeciwbakteryjną charakteryzował się nanokompozyt zawierający 6 mg/mL selenu (czas mieszania 75 min). Strukturę nanokompozytu potwierdzono metodą FT-IR, spektroskopii Ramana, XRD i FESEM. Nanokompozyty PLGA/selen stanowią nowe podejście do poprawy zdrowia jamy ustnej i mogą być stosowane jako materiały przeciwbakteryjne do zastosowań medycznych i stomatologicznych.
EN
This study addresses the high defect rate (up to 99%) and the heavy dependence on operator experience in the Direct Memory Access (DMA) injection molding process. To overcome these limitations, the study applies the Taguchi method using L18 orthogonal arrays to systematically optimize six key process parameters: nozzle size, mold temperature, ejection pressure, binder chemical concentration, mold material weight, and molding time. Signal-to-noise (S/N) analysis and ANOVA were used to identify the most influential factors and determine the optimal settings. The results show a significant reduction in defect rates: delamination defects decreased from 20% to 4%, flat wire defects from 4% to 0.5%, and corrugated plastic defects from 0.6% to 0.1%. Notably, the integration of computer vision inspection and process optimization improved product quality and reduced production time. The novelty of this study lies in the systematic application of the Taguchi method to high-precision semiconductor processes and the combination with advanced testing technologies, opening up a new direction in process optimization for the industry.
EN
This study optimizes the Friction Stir Welding (FSW) process for aluminum alloys AA6061 and AA7075, crucial for the automotive and shipbuilding industries. The Taguchi method combined with Grey Relational Analysis (GRA) was employed to determine optimal process parameters: rotational speed, travel speed, and pin depth in the Z-axis. Experiments revealed that a rotational speed of 1000 RPM, travel speed of 20 mm/min, and pin depth of 0.16 mm achieved the highest tensile strength (166.68 MPa) and hardness (97.86 HV). Analysis of Variance (ANOVA) confirmed the significant impact of rotational speed on mechanical properties. The study demonstrates the efficacy of combining Taguchi and GRA methods for FSW optimization, providing a framework for improving material performance in lightweight, highstrength applications. Future research should explore broader material scopes, advanced control systems, and environmental impacts.
EN
Resistance spot welding (RSW) involved two or more sheets of metal that are welded together with or without filler mate­rials. This paper discussed the optimization of RSW process parameters that were varied on galvanized steel below 6 kA by using Taguchi method. Galvanized steel can be more difficult to spot weld than any other uncoated metal due to the tendency of zinc coating alloying with electrodes. The three process parameters are welding current, welding time and holding time. The type of OA used in this study was L9. Subsequently, tensile and Vickers microhardness tests were conducted on the sample. Results from these tests were used to calculate the S/N ratio, ANOVA and confirmation test. The optimal parameters value and percentage of contributing factors to the welding can be identified. It will help to produce high-quality weld joints.
EN
This study examined the strength features of 3D printed fly ash-based geopolymer mortar with silica fume using the Taguchi and ANOVA methods. This study used the Taguchi L18(21 × 32) orthogonal array. Silica fume was used in the mixtures at 0% and 10% of the binder weight. 40 × 40 × 160 mm specimens were manufactured by a 3D printer. After the specimens were produced, they were cured at 80 °C for 24, 48, and 72 h. Then, these specimens were kept at 20 ± 2 °C for 3, 7, and 28 days. Lastly, the microstructural features, compressive strength, and flexural strength of the samples were determined. The ANOVA results found that the most affecting parameter for the strength properties of geopolymer mortars was found to be silica fume. Also, the Taguchi method found that optimum values of silica fume, curing time, and curing day for strength properties of geopolymer mortar were 10%, 48 h, and 28 days, respectively.
EN
This study aims to optimize the Tungsten Inert Gas (TIG) welding parameters for joining AISI 316L stainless steel and Cu-ETP copper using 309L stainless steel filler rods. Welding dissimilar materials is challenging due to their significant differences in thermal and mechanical properties. The high thermal conductivity of Cu-ETP copper leads to rapid heat dissipation, causing uneven heat distribution at the weld interface. To address this issue, the research team applied a 1 mm offset of the welding torch toward the copper side to balance the heat input. They employed statistical analyses using ANOVA and the Taguchi method to determine the optimal process parameters. The results showed that the optimal welding current, welding speed, and gas flow for achieving high tensile strength (Rm) are 90 A, 0.5 mm/s, and 12 l/min, respectively. Among these, welding speed emerged as the most significant factor, influencing 48.74% of the weld characteristics. Mechanical testing confirmed that these parameters produced high-quality welds. Metallurgical analysis revealed minimal diffusion between the materials, preserving their distinct properties while minimizing the formation of undesirable intermetallic phases. These results highlight the effectiveness of TIG welding in creating robust joints between AISI 316L stainless steel and Cu-ETP copper for applications requiring a combination of both materials' properties.
EN
Due to its simplicity, a desirability function procedure has been widely used in multi‐objective optimization. In this study, the impact of process parameters, specifically, traverse speed, rotational speed, and stress concentration factor (hole diameter), on the mechanical properties (tensile strength and hardness value) and weld quality class of a butt joint AA6061-T6 performing friction stir welding (FSW) is experimentally investigated. The Taguchi design describes the differences in the mechanical characteristics (hardness and tensile strength) that were noticed. A Taguchi-based design has been employed for a comprehensive analysis to consider each possible combination of elements. A desirability function is adopted to optimize all the responses simultaneously.
EN
The paper includes studying the method of calculating joint design and then building a multi-objective optimization problem model using the weighted sum and Taguchi methods. The research object is the joint between the gantry crane leg and the beam. Due to the characteristics of the connection bearing large and changing loads, research is necessary to improve safety, longevity, and reliability. The experimental problem model has four design variables and four value levels. The study uses the orthogonal matrix L16 to calculate the response values for each objective function at each stage. To apply the weighted sum method, the study selects the objective function weights for equivalent stress, contact stress, and fatigue strength, transforming the multi-objective problem into a single-objective problem. The test results identified a new set of parameters meeting the goals. The fatigue criterion was reduced by 8.9%, and the fatigue safety factor increased from 1.36 to 1.39. The equivalent stress was decreased by 9%, and the safety factor increased from 2.58 to 2.84. Contact stress was reduced by 37%, and the safety factor increased from 1.29 to 2. Combining these two methods not only solves problems in engineering but can also solve many problems in different fields.
EN
The design of three-dimensional scaffolds for bone regeneration poses challenges in balancing mechanical strength, porosity and degradability. This study aimed to optimize the geometric parameters of polylactic acid (PLA) scaffolds fabricated via 3D printing, focusing on pore size, porosity, and geometric configurations to enhance mechanical performance and biological functionality. Methods: Two geometric configurations – orthogonal and offset orthogonal – were evaluated with pore sizes ranging from 400–1000 μm and porosities between 55–70%. Finite element analysis (FEA) in ANSYS Workbench was used to simulate mechanical behavior, while the Taguchi experimental design determined the optimal parameter combinations. Statistical analyses, including ANOVA, assessed the significance of each factor. Results: The study identified a pore size of 400 μm as optimal for structural strength, while a porosity of 70% provided a balance between stability and cell growth. Orthogonal geometries distributed stress more uniformly, reducing critical stress concentrations compared to offset configurations. ANOVA revealed that pore size was the most significant factor, followed by porosity and geometry, achieving a model reliability of R2 = 98.42%. Conclusions: The findings highlight the importance of geometric optimization for improving scaffold mechanical properties while maintaining biological functionality. This study offers a robust framework for designing patient-specific scaffolds tailored to bone tissue engineering applications.
14
EN
Purpose: The purpose of this publication is to present the usage of Taguchi methods approach in Industry 4.0 conditions. Design/methodology/approach: Critical literature analysis. Analysis of international literature from main databases and polish literature and legal acts connecting with researched topic. Findings: The integration of Taguchi methods with Industry 4.0 signifies a profound advancement in manufacturing and quality management. Industry 4.0, with its advanced digital technologies such as the Internet of Things (IoT), big data analytics, artificial intelligence (AI), and cyber-physical systems, creates an environment that significantly enhances Taguchi’s principles. This integration facilitates a more dynamic approach to process optimization, leveraging real-time data and sophisticated analytics to achieve superior quality and efficiency. Real-time data collection and advanced analytics enable precise application of Taguchi’s experimental designs, enhancing responsiveness to process variations and improving product quality. Digital twins and automated process control systems further support robust design by allowing virtual testing and continuous adjustments. However, challenges such as data integration complexity, high implementation costs, and the integration of legacy systems must be addressed through strategic planning and investment. Overcoming these challenges can lead to substantial benefits, including improved data utilization, enhanced process optimization, and greater flexibility, driving significant advancements in manufacturing capabilities and operational excellence. Originality/Value: Detailed analysis of all subjects related to the problems connected with the usage of Taguchi methods in Industry 4.0 conditions.
EN
The synthesis conditions of chitosan/Arabic gum /zinc oxide nanocomposite were optimized using the Taguchi method to obtain antibacterial properties. FT-IR, XRD, FESEM, EDX, TEM, UV/VIS and TGA techniques were used to characterize the nanocomposite. Nanocomposite C3 (1 mg/mL chitosan, 4.5 mg/mL Arabic gum and 8 mg/mL zinc oxide), C7 (3 mg/mL chitosan, 5.1 mg/mL Arabic gum and 8 mg/mL zinc oxide) and C9 (3 mg/mL chitosan, 4.5 mg/mL Arabic gum and 4 mg/mL zinc oxide) had the best antibacterial properties against S. mutans. TGA showed that ZnO improved the thermal stability of the nanocomposite. Such materials can be used as antibacterial agents.
PL
Przy użyciu metody Taguchi zoptymalizowano warunki syntezy nanokompozytu chitozan/guma arabska/tlenek cynku umożliwiające uzyskanie właściwości antybakteryjnych. Do scharakteryzowania nanokompozytu zastosowano techniki FT-IR, XRD, FESEM, EDX, TEM, UV/VIS i TGA. Nanokompozyt C3 (1 mg/mL chitozanu, 4,5 mg/mL gumy arabskiej i 8 mg/mL tlenku cynku), C7 (3 mg/mL chitozanu, 5,1 mg/mL gumy arabskiej i 8 mg/mL tlenku cynku) i C9 (3 mg/mL chitozanu, 4,5 mg/mL gumy arabskiej i 4 mg/mL tlenku cynku) miał najlepsze właściwości antybakteryjne wobec S. mutans. Metodą TGA wykazano, że ZnO poprawia stabilność termiczną nanokompozytu. Tego typu materiały mogą być stosowane jako środki antybakteryjne.
EN
For some industries such as automotive, defence, aerospace, pharmaceutical manufacturing, dynamic pressure measurement is an important requirement. In a primary level dynamic pressure measurement system with a drop weight method, the dynamic pressure value is calculated using parameters such as the effective area value depending on the piston cylinder unit, the maximum acceleration value measured by a laser interferometer. On the other hand, the type of liquid used in the measuring head is another important factor affecting repeatability and providing ease of measurement. In this study, a new measurement head, piston and cylinders were designed, manufactured and the Taguchi method was used to accurately determine some parameters affecting the measurements in a dynamic primary pressure measurement system operating with the drop weight method. In the studies carried out, four pistons, four cylinders, four sampling frequency values and two liquid types were considered. By using the Taguchi method, the optimum parameters of the dynamic pressure measurement system with drop weight method were determined with only sixteen experiments instead of one hundred and twenty-eight.
EN
Copper oxide nanostructures have garnered significant attention in nanotechnology for their diverse applications. This study presents a green synthesis approach using an aqueous Aegle marmelos leaf extract-based medium to produce copper oxide (Cu4O3) nanoparticles. Optimisation was achieved through a simplified Taguchi L9 orthogonal array, investigating critical parameters such as temperature, surfactants (AOT and Tween 80), and additives (ascorbic acid and chitosan). Under optimised conditions (AOT: 0.0012 mM, ascorbic acid: 10 mM, chitosan: 1 %, temperature: 80 °C), near-spherical nanoparticles of ~200 nm were obtained. Comprehensive characterisation through UV-Vis, DLS, electron microscopy, XRD, and FTIR spectroscopy confirmed the nanoparticles’ properties, while antibacterial assays showed promising results against Escherichia coli bacteria.
18
EN
Purpose: The present article analysed the effect of MAG welding parameters (arc voltage-AV, wire feeding speed-WFS, and welding speed-WS) on fillet weld leg length (FWLL) in low-carbon steel S235JR. Design/methodology/approach: In the research, the Taguchi L8 orthogonal array was used to design experiments. The eight experimental experiments were designed based on the Taguchi method, and the average FWLL was measured in each experiment. The analysis of means (ANOM) and analysis of variance (ANOVA) techniques were used to analyse FWLL. Findings: The highest F-value in ANOVA analysis (96.08) confirmed that the welding speed is the most effective parameter on the response (with a per cent contribution of 92.24%), followed by wire feeding speed and arc voltage, with an F-value of 2.82 and 1.25, respectively. Research limitations/implications: The research was focused on MAG welding as a common process used in different industries. Future studies could consider the effect of parameters on fillet weld leg length in other arc welding processes. Due to its many applications in various industries, the low-carbon steel S235JR plate was chosen as the base material, while other steels can be used for future studies. Practical implications: The findings of the present study have significant practical implications for the welding industry. The design of welding joints is a very important part of the design of metal structures. A weld bead with correct and optimal sizes is desirable and accepted in the design of metal structures. The findings of the present study can be used in the optimal design of fillet welds for low-carbon steel. Originality/value: As far as we know, there is relatively little information on the proper balance of fillet weld leg length in low-carbon steels. Therefore, the research results can be used in the appropriate design of welding joints for low-carbon steels.
EN
Parameters of the moulding process in foundry are usually determined by trial-and-error method, and this way contributes to time taken and adds further cost for production sand. The present work represents an attempt to optimize sand moulding parameters in terms of compactability, compaction time, and air pressure, and to study effect of these factors on the green sand flowability using L4 design of experiments. Regression model, Taguchi method, and experimental verification were used to investigate flow property of sodium bentonite- bonded BP-quartz sand for sand moulding. Analysis of variance (ANOVA) was employed to measure significance and contributions of different moulding variables on flowability of green sand. The values obtained showed that the compaction time factor significantly affected flowability of green sand while compactability and air pressure have slight effects. The comparison results of Taguchi method, regression predictions and experiments exhibited good agreement.
EN
Because of its excellent mechanical qualities and weldability, titanium alloy is used in many different biomedical applications. Wire electrical discharge machining may be used to machine materials with such greater strengths and intricate forms. Using Taguchi-Data Envelopment Analysis-based Ranking (DEAR) approach and zinc-diffused coated brass wire electrode to improve Titanium alloy machining was the goal of this research project. The quality metrics that were taken into consideration were sur-face roughness, kerf width, and material removal rate. Among the selected factors, with an error of 2.7%, the optimal configuration of input factors was determined to be 130 µs (Ton), 40 µs (Toff), 50 V (SV), 6 A (IP), and 8 Kg (WT). Due to its relevance in the process of deionization, the Ton is the high-est influential parameter for creating quality measurements.
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