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This study is aimed at optimizing the CNC milling parameters for Aluminium 7075 alloy, using Taguchi and Analysis of Variance (ANOVA) approaches. The high-strength alloy has applications in the automobile and aerospace industries. The cutting depth, speed of milling and rate of feed were adjusted to methodically enhance the machining performance an...
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... Therefore, A2 B1 C2 and A2 B1 C3 are the prime constraint combination for electric discharge machining of Al6061-WC-B4C and Al7175-WC-B4C composites, respectively. Table 8 gives the upshots of ANOVA [41,42] for time taken, surface roughness, and MRR. According to Table 8, the best parameter for EDM is factor A, current, with 39.22 %, followed by factor C, pulse on time (T-on), with 30.49 ...
Electrical discharge machining is a recognised non-traditional machining practise capable of accurately engineering components with multi-faceted contours. Through the stir casting process, two different aluminium alloys (Al 7175 and Al 6061)-based hybrid nanocomposites were developed and strengthened with tungsten carbide (WC) at 10 % and boron carbide (B4C) at 10 % in the current study. After mechanical characterization of the composites, electrical discharge machining (EDM) has been piloted on specimens to scrutinise the machining parameters. Taguchi's design of the L9 orthogonal array was implemented to conduct experiments with the help of three EDM parameters such as voltage applied, current applied, and pulse-on time to find out their effects on machining time taken, surface roughness, along with the material removal rate. Optimization has been carried out using MARCOS technique (Measurement Alternatives and Ranking according to Compromise Solution), and optimal results have been confirmed through con-firmatory tests. It is found that voltage and current are the most noteworthy factors in EDM machining of the Aluminium alloy composite. Also, it was found that the tensile along with ultimate tensile strength of Al6061-WC-B 4 C and Al7175-WC-B 4 C composites were found to be 17.810KN, 86.30KN, and 51.746 N/ mm 2 , 271.520 N/mm 2 respectively.
... The prepared specimens are assessed using a universal testing machine (UTM BSUT 60JD) with a capacity of 600 KN and a cross head speed of 10 mm/min, which is used to evaluate the specimens. Table 4 shows the control variables and their levels that will be utilised in the Taguchi experimental design, as well as the experimental design itself [22][23][24][25][26][27][28][29][30][31][32]. In this case, the coded value for coconut oil is indicated by the symbol '1 0 , fresh engine oil is indicated by the symbol '2 0 , and used engine oil is indicated by the symbol '3 0 . ...
Heat treatment, in conjunction with quenching, is used to improve the mechanical characteristics of oil hardened steel. In order to get the greatest yield strength, hardness, and ultimate tensile strength, among other things, a variety of control parameters must be tweaked in order to achieve the optimum outcomes. One of the objectives of this study is to improve the process of improving the mechanical properties of AISI 4140 Chromoly steel by varying key parameters such as the quenchant used, the soaking time, and the heat treatment temperature. After using the Taguchi method for the purpose of experimental design, three output responses were produced, namely the yield strength, the hardness, and the ultimate tensile strength of the material. To determine the most optimum parameters for heat treatment and quenching, the Weighted Aggregated Sum Product Assessment method (WASPAS) was used. In this study, it was discovered that the hardness of the material is dependent on the heating temperature, with greater hardness being obtained at the highest possible heating temperature. A similar relationship exists between material strength and soaking time, with the greatest amount of soaking time leading to greater material strength. When comparing the mechanical properties of the three quenchants, new engine oil performed much better than coconut oil and old engine oil. It is clear that both the WASPAS method and the Taguchi-WASPAS method approach are very effective, as shown by the close agreement between the anticipated and experimental results. The ANOVA results revealed that among all of the factors considered for maximisation of mechanical characteristics in heat treated and quenched Chromoly steel specimens, temperature was the most significant and influencing factor, followed by soaking time as the second most significant parameter, and quenchant as the least significant variable. The relevance and effectiveness of both optimization approaches were also shown by a confirmatory test, which was conducted.
... In this investigation, both thrust and torque are needed to be maximized hence Taguchi's higher the best criteria was chosen for optimization while lower the best criteria was chosen for surface roughness for minimization [34][35][36][37][38][39][40][41][42]. Figs. ...
This study investigates the drilling operation on Inconel 718 superalloy by using cryogenic treated drill bit. Thrust force, torque and surface roughness are analyzed to understand the effects of the cryogenic condition during CNC drilling operation. Taguchi's methodology has been employed for planning of experiments. Drill bits are conditioned under two different environment i.e. cryogenically treated with single tempered and cryogenically treated with double tempered. The process parameters are optimized by using Whale optimization algorithm for obtaining minimized surface roughness along with maximiza-tion of torque and thrust force during drilling operation. The ANOVA results show that feed rate is the most contributing significant factor for thrust for its maximization while spindle speed is the most contributing significant factor for torque for its maximization. Also, tool condition is the most contributing significant factor for surface roughness for its minimization. Lastly, confirmatory test were conducted to find out the significance of the predicted values obtained using the optimization methods.
... Since, Tensile Strength and Micro Hardness are needed to be appraised, Taguchi's higher the better criteria has been employed [32][33][34][35][36][37][38][39]. The Taguchi approach emphasizes the significance of examining response variance using the signal-to-noise (S/N) ratio, which may be computed using: ...
This Investigation provides an insight of fabrication Aluminium alloy 2025 T6 metal matrix composite reinforced with Red Mud using stir casting methodology. % of reinforcement along with grain size and stirrer blade angle are considered as control factor which are used for the fabrication of orthogonal trail design of Taguchi philosophy. Mechanical characterization like tensile strength and micro hardness were considered as output responses. Recently formulated Lichtenberg Optimization Algorithm and Whale optimization Algorithm were utilized for obtaining optimized control factor. According to ANOVA outcome , blade angle and grain size are the most significant factor for maximization of tensile strength and micro-hardness respectively. Also, confirmatory results shown that Lichtenberg optimization algorithm has provided more precise prediction which can be helpful for casting of Aluminium alloy 2025 T6 metal matrix composite reinforced with Red Mud.
... Mould core were fabricated by employing double screened silica sand with the control parameters and their level as listed in Table 1. The Taguchi design of experiments approach was used to identify the optimal number of tests and to investigate the effect of various factors on mould quality [22][23][24][25][26][27][28][29][30][31][32]. The test samples were created using a phenolic chemical binder method in accordance with the American Foundry Society's standard criteria. ...
When compared to green sand moulds, resin bound sand moulds and cores have higher mechanical characteristics and create more dimensionally exact castings, and are thus increasingly preferred for near net form metal components. The effect of binder %, sand particle size and curing time on the mechanical characteristics of no-bake resin bonded mould core was studied in this study using lab testing. Their mechanical characteristics were discovered to rise with the addition of binder amount and curing time, along with dropping with increasing grain fineness number. Microscopic study of cross-linked resin bridges between sand grains also supports this. To get the best blend of mould characteristics, the results were optimized using the WASPAS technique and the Material Generation Algorithm. Tests were used to successfully validate the model and its findings. This study lays the groundwork for optimizing the moulding parameters of resin reinforced sand mould cores in order to achieve the best quality.
... In this paper, the plan of the test is chiefly used to notice the impact of control factors on the yield power and the proficiency of the industrial reducer. In view of the necessity that the level of opportunity of the symmetrical field is more prominent than or equivalent to the amount of the productivity and force at the yield, the Taguchi standard symmetrical model L27 is chosen [21][22][23][24][25][26][27][28]. The considered components are: the viscosity of lubricant, the initial parametric no. of revolutions and the current force intensity on the control unit, and all elements are the distributed in 3 levels for experimental trials. ...
Gear reducers are commonly used in cross-industrial applications. These include a range of advanced and basic processes, requiring the delivery of a controlled torque output. Mainly, industrial reducers are used in material handling units as it controls the speed of the machineries such as conveyors, cranes, hoist, mixers etc. For effective operation and to reduce the downtime due to any fault, optimal operating conditions are needed to define. In this paper the effectiveness and yield power are thought of, as the main attributes of the Industrial reducer, and their optimization was performed. As the impacting factors, the viscosity of lubricant, the initial parametric no. of revolutions and the current force intensity on the control unit, were considered. Test tests were performed based on the L27 Taguchi orthogonal array. For maximizing the output power and efficiency of mechanical reducer, recently formulate bio-inspired meta-heuristic algorithms i.e. Material Generation Algorithm and Sunflower Optimization Algorithm were employed besides Taguchi technique for optimization. It was found that current intensity played a significant role in maximizing the output power and efficiency of industrial reducer in accordance to analysis of variance results. Also both Material Generation Algorithm and Sunflower Optimization Algorithm resulted to be precise in providing better output as compared to Taguchi method for maximizing the output power and efficiency of the industrial reducer gearbox.
... The confirmation experiments were led for different operating parameters. Table 10 shows result of confirmatory test of different lubricating environment with different optimizing methods [17][18][19][20][21][22][23][24][25][26][27]. ...
The current investigation deals production of Karanja oil biodiesel and its evaluation as unconventional fuel in a single-cylinder, four-stroke, direct-injection CI engine. The experiments are conducted with parameters include the variable injection pressure, different fuel blends, load on engine compression ratio. Performance of the engine was also evaluated by measuring its brake thermal efficiency, exhaust gas temperature, brake-specific fuel consumption along with HC, NOX and CO emissions. Effects demonstrate that emission and better performance is produced when the engine runs with higher compression ratio. A hybrid approach was employed for optimizing engine operating parameters using a recent technique, i.e., weighted aggregated sum product assessment method (WASPAS) coupled with Taguchi’s design of experiment, genetic algorithm, particle swarm optimization and simulated annealing algorithm.
... To authorise the heightening of output quality after finding the best setting of input parameters, a confirmatory experimentation is executed and tabulated in Table 6 [34][35][36][37][38][39]. ...
An eco-friendly high efficiency solid state welding technique, Friction stir spot welding (FSSW) produces the welding lap joints of two dissimilar material of aluminum alloy to a commercially used copper alloy. Generally, Copper has an excellent thermal and electrical conductivity combined with creep resistance and high ductility which are used in the current carrying electrical connection and components in the automobile and electrical Industry. A number of experiments have been carried out in this paper which focus on the maximum force required to break workpiece, maximum stress developed and heat affected zone at the welding joint by changing the different parameters such as rotational speed, pin length and tool tilt angle. In this investigation, tests were completed according to Response Surface Methodology based L15 orthogonal array. The optimum welding parameters were determined by using WASPAS (weighted aggregated sum product assessment) coupled Grey Wolf Optimization method which reported pin length as the most significant constraint. Validation of the output responses was done augmenting the mechanical performances of welded joints.
