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Öğe Optimization and evaluation of dry and minimum quantity lubricating methods on machinability of AISI 4140 using Taguchi design and ANOVA(SAGE Journals, 2020-07-05) Gürbüz, Hüseyin; Gönülaçar, Yunus EmreIn this work, it is aimed to study the effects of dry machining and minimum quantity lubrication application on machinability in turning AISI 4140 steel by utilizing different cutting parameters. Also, this study contains effects and optimization of cutting conditions (dry and minimum quantity lubricating), feed rate, and cutting speed on surface roughness (Ra) and main cutting forces (Fc) determined by employing the Taguchi method. At the end of experiments, it was established that compared to dry machining operations, minimum quantity lubricating significantly reduced cutting tool wear, while Fc and Ra decreased in general. Analyses of variance, regression analysis, signal-to-noise ratio, and orthogonal array were employed to analyze the effects and contributions of independent variables on dependent variables. The optimum levels of the dependent variables for reducing Fc and Ra using signal-to-noise rates were established. According to signal-to-noise ratios, minimum quantity lubricating had a more important effect on Fc and Ra than dry machining. The optimal conditions for Fc and Ra were at 0.16 mm/rev feed rate, 125 m/min cutting speed at minimum quantity lubricating. Analysis of variance results demonstrated that the feed rate is the most influential independent variable on Fc (93.976 %) and Ra (89.352 %). Validation test results exhibited that the Taguchi method and regression analysis were highly achieved methods in the optimization of independent variables for dependent variables. Taguchi optimization technique and regression analysis obtained from Fc (R2Tag. = 0.972 and R2Rag. = 0.997) and Ra (R2Tag. = 0.985 and R2Rag. = 0.996) measurements match really well with the experimental dataÖğe Sine-cosine algorithm-based optimization for automatic voltage regulator system(SAGE, 2019-04-01) Hekimoğlu, BaranA novel design method, sine-cosine algorithm (SCA) is presented in this paper to determine optimum proportional-integral-derivative (PID) controller parameters of an automatic voltage regulator (AVR) system. The proposed approach is a simple yet effective algorithm that has balanced exploration and exploitation capabilities to search the solutions space effectively to find the best result. The simplicity of the algorithm provides fast and high-quality tuning of optimum PID controller parameters. The proposed SCA-PID controller is validated by using a time domain performance index. The proposed method was found efficient and robust in improving the transient response of AVR system compared with the PID controllers based on Ziegler-Nichols (ZN), differential evolution (DE), artificial bee colony (ABC) and bio-geography-based optimization (BBO) tuning methods.Öğe Optimization of welding parameters of AISI 431 and AISI 1020 joints joined by friction welding using taguchi method(Bilecik Şeyh Edebali Üniversitesi, 2022-06-30) Adin, Mehmet Şükrü; İşcan, Bahattin; Baday, ŞehmusMartensitic stainless steel AISI 431 and low carbon steel AISI 1020 are materials used together in many different industries. However, important problems are encountered when welding (fusion welding) these materials to each other. For this reason, friction welding process (Solid-state welding) is used to join these dissimilar metals. There are very few studies on joining these materials with friction welding. Therefore, the optimization of the welding parameters used in joining these dissimilar steel pairs with friction welding is of great important. In addition, the effects of the factors dependent on friction welding parameters need to be well understood. In this study, AISI 431 and AISI 1020 steel bars were successfully joined by friction welding, and the effects of welding parameters on tensile strength and axial shortening were investigated, and welding parameters were optimized using Taguchi method to obtain quality weld joints. The experimental results of the study showed that the highest tensile strength (573.32 MPa) of the joints was 54.53%, higher than the lowest tensile strength (370.99 MPa), the highest axial shortening (23.18 mm) was 650.16%, higher than the lowest axial shortening (3.09 mm). The optimal parameters for average axial shortening and average tensile strength were determined as A3B1C3 and A3B3C2; and the highest percentage contribution values for axial shortening and tensile strength were found to be 51.55% (rotating speed) and 63.90% (rotating speed); and R2 values for the average axial shortening and average tensile strengths were found to be 97% and 99.3%, respectively.Öğe Optimization of process parameters of medium carbon steel joints joined by MIG welding using Taguchi method(European Mechanical Science, 2022-03-20) İşcan, Bahattin; Adin, Mehmet ŞükrüIn this study, related to getting better obtain to the mechanical properties of medium carbon steel joints joined by MIG welding method using the Taguchi method welding groove were optimized. Grove angle (60ᵒ, 75ᵒ and 90ᵒ), current (100 A, 110 A and 120 A) and voltage (25 V, 30 V and 35 V) were used as welding parameters. The results showed that the highest tensile strength as 597.963 MPa was obtained at groove angle 90ᵒ, current 120 A and voltage 30 V, the lowest tensile strength was obtained as 395.125 MPa. The highest elongation as 11.551% was obtained at groove angle 90ᵒ, current 120 A and voltage 30 V, the lowest elongation was obtained as 8.354%. In addition, it was observed that the changes in current and voltage values significantly affect the tensile strength and elongation values of the joints. According to ANOVA analyses, the most effective parameter on average tensile strength and elongation were determined to be groove angle (62.75% and 75.58%, respectively). Based on S/N ratios, the optimal parameters for average tensile strength and elongation were determined A3B3C2 factors.Öğe Optimization of mechanical properties of composites obtained from textile wastes using Taguchi and ANOVA methods(Batman Üniversitesi, 2022-07-02) Adin, Mehmet ŞükrüToday, one of the most polluting manufacturing sectors is the textile industry. Therefore, recycling of these wastes is of great interest. One of the solutions applied for the recycling of these wastes is their use in the manufacture of composites. In this study, optimization of manufacturing parameters was made in order to obtain plates with the highest tensile strength from composite materials to be produced from textile wastes by using Taguchi and ANOVA methods. As a result of the study, it was found that the tensile strength of the composite plates made of polyester fabric was higher than the plates made of cotton fabric, and the signal/noise (S/N) ratios of 0° angle reinforced composites were lower than 90° angle reinforced composites. It was observed that there was a nearly linear increase in the S/N ratios depending on the increase in the number of reinforcements. As a result of the ANOVA analysis, it was found that the most effective factor according to the tensile strength was the reinforcement angle with 45.06%. It was observed that the highest tensile strength of the composite plates obtained from cotton fabric was 40.058 MPa with 90° angled reinforcement elements and 14 reinforcements, and the lowest tensile strength was 23.451 MPa with 0° angled reinforcement elements and 10 reinforcements. In composite plates obtained from polyester fabric, the highest tensile strength was 42.136 MPa with 45° angled reinforcement elements and 14 reinforcements, and the lowest tensile strength was 27.112 MPa with 0° angled reinforcement elements and 10 reinforcement numbers. It has been found that the tensile strength of the composite plates obtained from polyester fabric is higher than that of the composite plates obtained from cotton fabric.
