Assessment of weld joint strengths on dissimilar alloys of Inconel 625 and aluminium 7068 using FSW process

In the recent days, the employ of aluminum alloy has enriched dramatically especially in engineering applications extensively employed in ship building, aerospace, structural, non-structural and automotive applications like driveshaft, wheels, crankshaft, connecting rod, chassis, brake rotors, cylinder blocks and piston etc. The foremost objective of this evaluation is to optimize the impacts of stir casting parameters of Aluminium Alloy AA7178/Si3N4 with response of tensile strength by utilizing Taguchi approach. MINITAB software was employed for conducting the Taguchi analysis. The stir casting parameters of this examination are stirring speed, stirring time and reinforcement percentage. The tensile behaviour of AA7178/Si3N4 composites for varying filler mass proportionate, stirring speed and stirring time were assessed employing a “universal testing machine”, and using a L9 (3)3 Taguchi orthogonal array. The nine samples of trials are employed to estimate the tensile behaviour of the composite material. The Analysis of Variance (ANOVA) is extensively assistance to intimate which parameter is highly impact for this evaluation. Amid those factors, filler content as highly influenced factor to response value followed as stirring time and stirring rpm.

Optimization of Parameters to Improve the Properties of AA7178/Si3N4 Composites Employing Taguchi Approach

Abrasive water jet machining has been extensively used for cutting various materials. In particular, it has been applied for difficult-to-cut materials, mostly metals, which are used in various manufacturing processes in the fabrication industry. Due to its vast applications, in-depth comprehension of the systems behind its cutting process is required to determine its effective usage. This paper presents a review of the progress in the recent trends regarding abrasive waterjet cutting application to extend the understanding of the significance of cutting process parameters. This review aims to append a substantial understanding of the recent improvement of abrasive waterjet machine process applications, and its future research and development regarding precise cutting operations in metal fabrication sectors. To date, abrasive waterjet fundamental mechanisms, process parameter improvements and optimization reports have all been highlighted. This review can be a relevant reference for future researchers in investigating the precise machining of metallic materials or characteristic developments in the identification of the significant process parameters for achieving better results in abrasive waterjet cutting operations.

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Recent Progress Trend on Abrasive Waterjet Cutting of Metallic Materials: A Review

This paper focuses on the experimental investigation of machining parameters such as cutting speed, feed rate and depth of cut influence over surface roughness parameters (Ra, Ry and Rt) during turning AISI 4340 steel. Further, in order to achieve smaller surface roughness parameter values, the machining parameters are optimized using Taguchi's technique Signal-to-Noise ratio (S/N ratio). Analysis of Variance (ANOVA) is performed to determine the most contributing factor that influences the surface roughness parameters. It is observed that the feed rate is the most significant factor contributing by 70.50%, depth of cut by 18.54% and cutting speed by 9.15%. From the optimum condition obtained, a confirmation experiment is performed and the results obtained shows that the surface roughness parameter values are reduced by 31.63% than the designed experimental values.

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Investigation and optimization of machining parameters influence on surface roughness in turning AISI 4340 steel

Analyses of particle size and abrasive water jet drilling of synthesized chromel metal matrix

In the present work, a multi response optimization technique based on Taguchi method coupled with grey relational analysis is used for electrical discharge machining operations on duplex (α–β) brass. Stir casting technique was used to fabricate the duplex brass plates. The mechanical properties of the material are reported. Experiments were conducted with three machining variables such as current, pulse-on time and spark voltage and planned as per Taguchi technique. Material removal rate (MRR), electrode wear rate (EWR), and surface roughness (SR) are chosen as output parameters for this study. Results showed that, peak current and spark voltage were the significant parameters to affect MRR, EWR, and SR as per grey relational grade. The optimal combination parameters were identified as A3B3C2 i.e., pulse current at 14 A, pulse on-time at 200 µs, and voltage at 50 V. Analysis of variance was used for analyzing the results. The confirmation tests were performed to validate the results obtained by grey relational analysis and the improvement was achieved.

Parametric optimization of electrical discharge machining process on α–β brass using grey relational analysis

The usages of nonferrous alloys in industries are rapidly increasing due to their excellent properties such as strength, ductility, malleability, tough– ness and corrosion resistance. Brass is one of the nonferrous alloy which is used in many applications such as automobile, aerospace medical and electrical fields. In this experimental investigation, α-β brass was formulated by stir casting technique and the material characterization is examined with the Scanning Electron Microscope and Energy Dispersive Analysis of X-rays. The process parameters of Abrasive Water Jet Machining such as water pressure, traverse speed and mass flow rate are considered to study the machining of α-β brass using the Taguchi methodology. The effect of these process parameters on the responses such as Surface Roughness and Material Removal Rate were studied by varying the control process parameters. The optimum permutation of the process parameters were identified for maximum MRR and minimum SR. The most prominent parameters were found out by Analysis of Variance.

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Optimization of abrasive water jet machining parameters for α-β brass using Taguchi methodology

In the present work, stir casting route is used to fabricate the duplex (α–β) brass plate. The machineabilty behavior of the (α–β) brass is analyzed during Electrical Discharge Machining (EDM) using Taguchi method. Experiments were conducted with three machining variables such as current, pulse-on time and voltage. Material removal rates (MRR), Electrode wear rate (EWR) and surface roughness (SR) are chosen as the output parameters. Results of SN ratio analysis showed that peak current was significant factor to affect the all the responses. Analysis of variance (ANOVA) was used to identify the contribution of each parameter.

S. Marichamy

Papers

Parametric optimization of electrical discharge machining process on α–β brass using grey relational analysis

Optimization of abrasive water jet machining parameters for α-β brass using Taguchi methodology

Parametric optimization of EDM process on α–β brass using Taguchi approach

Optimization of surface roughness for duplex brass alloy in EDM using response surface methodology

Optimization of stir casting process parameter on copper aluminium composite