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

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

Owing to the difference of the sequences' orders and the surface structure in the current panel grey relational models, research results will not be unique. In addition, individual measurement of indicators and objects and the subjectivity of combined weight would significantly weaken the effective information of panel data and reduce the reliability and accuracy of research results. Therefore, we propose the concept and calculation method of dispersion of panel data, establish the grey relational model based on dispersion of panel data (DPGRA), and prove that DPGRA exhibits the effective properties of uniqueness, symmetry, and normality. To demonstrate its applicability, the proposed DPGRA model is used to research on storm-tide disaster losses in China's coastal areas. Comparing research results of three models, which are DPGRA, Euclidean distance grey relational model, and grey grid relational model, it was shown that DPGRA is more effective, feasible, and stable. It is indicated that DPGRA can entirely utilize the effective information of panel data; what's more, it can not only handle the non-uniqueness of the grey relational model's results but also improve the reliability and accuracy of research results. The research results are of great significance for coastal areas to focus on monitoring storm-tide disasters hazards, strengthen the protection measures of natural disasters, and improve the ability of disaster prevention and reduction.

https://www.mdpi.com/1660-4601/14/11/1330/pdf

Research on Storm-Tide Disaster Losses in China Using a New Grey Relational Analysis Model with the Dispersion of Panel Data

In the present study a multi response optimization method using utility concept is proposed for electrical discharge machining (EDM) of AA 6061/10%Al2O3 AMMC. In the present study the required mate...

https://tandfonline.com/doi/pdf/10.1080/21693277.2017.1389315

Optimization and characterization of EDM of AA 6061/10%Al2O3 AMMC using Taguchi’s approach and utility concept

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

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.

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

Waspaloy has distinctive properties which has extensive applications in aero space field. Nickel base super alloy, Waspaloy are known for its high hardness, high strength retaining capacity at higher temperature and good corrosion resistant which makes suitable choice for jet engine technology. This paper reviews the research activities done over the last two decades which impacted the wide use of Waspaloy in industry. This work also elucidates on review of the material properties and characteristics. The machinability of the material is discussed.

https://iopscience.iop.org/article/10.1088/1757-899X/402/1/012039/pdf

Mechanical properties and machinability of waspaloy for aerospace applications – review

Effect of Copper on Mechanical Properties and Corrosion Behavior of Powder Metallurgy Processed Ni–Co–Cr–Fe–Mn–Cu_x High Entropy Alloy

This experimental investigation deals with the fabrication of boron carbide (B4C) particulates reinforced Nickel based Waspaloy (WA) composite. The bottom pouring type stir casting machine under argon atmosphere was used to prepare the composites. B4C content was reinforced with Nickel based WA in the weight basis (0, 4, 8 and 12 %). The microstructure of the prepared composites was studied by using SEM and EDS. The tensile strength, impact strength, hardness and density of the samples have been reported. Then the Pin on Disc (POD) setup was used to study the wear performance of the samples. The wear parameters were analyzed by using Grey relational analysis (GRA) for the low specific wear rate (SWR) and coefficient of friction (COF) for produced composites. The addition of B4C improved the mechanical properties of the sample up to 8% and then tends to decreases. Analysis of variance (ANOVA) showed that, load is the most dominant parameter which affects the SWR of the composite. From the GRA, Load 20 N, sliding speed 1146 rpm, 12% B4C are found to be optimum parameters for minimum SWR and COF.

Microstructure, mechanical and wear properties of boron carbide reinforced nickel alloy composites processed by bottom pouring type stir casting process

G. Veerappan

Papers

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

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

Mechanical properties and machinability of waspaloy for aerospace applications – review

Effect of Copper on Mechanical Properties and Corrosion Behavior of Powder Metallurgy Processed Ni–Co–Cr–Fe–Mn–Cu_x High Entropy Alloy

Microstructure, mechanical and wear properties of boron carbide reinforced nickel alloy composites processed by bottom pouring type stir casting process