Optimization of Adsorption Parameters for Lead (II) Removal from Wastewater using Box-Behnken Design
Optimization of Al 6063 Button Head Rivet FEM Analysis Subjected to CRYO ECAP and RT ECAP
Effect of (SiC+Gr) Addition on the Corrosion Behavior of Powder Metallurgy Copper MMC
Assessment of Reuse Potential of Low-Grade Iron Ore Fines through Beneficiation Routes
Characterization of Copper MMC Reinforced with SiC and Graphite in Equal Proportion Made by the Powder Metallurgy Route
Evaluation and Comparison of Turning Process Performance during Machining of D2 Steel Material under Two Sustainable Machining Techniques
An Investigation on Recent Trends in Metamaterial Types and its Applications
A Review on Plasma Ion Nitriding (PIN) Process
A Review on Friction and Wear Behaviors of Brake’s Friction Materials
Comparative Parabolic Rate Constant and Coating Properties of Nickel, Cobalt, Iron and Metal Oxide Based Coating: A Review
Electro-Chemical Discharge Machining- A review and Case study
Comparison Of Composite Proton Conducting Polymer Gel Electrolytes Containing Weak Aromatic Acids
Enhancement in Electrical Properties of PEO Based Nano-Composite Gel Electrolytes
Electrical Properties of Nanocomposite Polymer Gels based on PMMA-DMA/DMC-LiCLO2 -SiO2
Effect of Donor Number of Plasticizers on Conductivity of Polymer Electrolytes Containing NH4F
PMMA Based Polymer Gel Electrolyte Containing LiCF3SO3
Inconel 718 is a corrosion-resistant and high strength nickel-based alloy with wide range of applications, including components for cryogenic tankage, liquid fueled rockets and casings for aircraft engines. The material is characterized by high hardness, high temperature strength, low thermal conductivity and high strength causing it extremely difficult to machine. Micro-Electrical Discharge Machining (Micro-EDM) is a non-conventional method that has a potential to overcome these restrictions for machining of Inconel 718. Response Surface Method (RSM) was used for modelling the tool Electrode Wear Rate (EWR) and Material Removal Rate (MRR) with the input factors, such as voltage (V), peak current (I ) and pulse on-time (T ). The RSM analysis of variance results show that the main input factors’ pulse off-time and p on voltage are significant in controlling the tool electrode wear rate at 95% confidence level. An increase in voltage from 30 to 45 V and pulse on-time from 1 to 3 μs causes a linear decrease in EWR by 35%. Using response surface modeling, a 3 3 minimum EWR of 12.3184 μm /min and a maximum MRR of 37.2151 μm /min is obtained at a current of 1.07 A, pulse ontime of 4.44 μs, pulse off-time of 4.06 μs and voltage of 60 V.
Abrasion resistance is a property of a marble which gives an indication of the marble wearing quality when it is exposed to foot traffic. This property is tested according to ASTM C241 standards. Abrasion further helps in determining whether a marble is economically desirable and practical for floors, stairs, etc. For this, 48 samples were selected from different processing units of Rajasthan and were tested. Regression analysis was carried out to investigate the relation between the abrasion resistance and the mechanical properties of marbles determined according to ASTM standards. Although, it is believed that abrasion resistance of many materials are greatly affected by its hardness and it increases with the increase in the hardness. The correlations of abrasion resistance was found to be highly related with mechanical 2 2 2 properties like modulus of rupture (R = 0.96), compressive strength (R = 0.94), flexural strength (R = 0.96) along with 2 2 2 hardness (R = 0.84) while the water absorption (R = 0.08) and density (R = 0.44) were found to be less correlated.
Roads are the backbone of country's development, but the high level of emission generated in paving conventional bituminous pavements is always a major concern. For decades, Hot Mix Asphalt (HMA) had an upper hand in pavement construction all over the world. Hot mix asphalt was easy to produce, but required high temperatures to be maintained during transportation and laying. As HMA production involves high-energy consumption, production of bituminous mix with lower temperatures using different process is developed which is labeled as Warm Mix Asphalt Technology. In the present study, ZycoTherm additive, has been used in different dosages at different temperatures to prepare warm mix asphalt in the laboratory. ZycoTherm additive can be used with an optimal dosage of 0.07% by weight of bitumen at o o 135 C mixing temperature for WMA, and 30% RAP with 70% virgin aggregates containing 0.07% ZT WMA at 135 C, gives better stability and performance than other mixes. Hence, 30:70 is the most optimum blend. From the cost analysis, the construction cost for the 30:70 combination works out to be 9.5 lakhs per km, which shows a saving of 33.25% compared to HMA construction.
The demand in usage of advanced material in lightweight Aluminum (Al) has increased drastically in the present, especially in automobile and aerospace applications. Aluminium based Metal Matrix Composites (MMCs) has its own advantage that it offers a very low thermal expansion coefficient, high specific strengths, wear and heat resistance as compared to conventional Al alloys. To group all these properties, Aluminum based MMCs have become a very useful method for various industrial applications. Therefore, a combination of Aluminum (Al) and Tungsten carbide-cobalt (WC-Co) is of interest. Al-WC-Co composites with 10 to 35 weight % of WC-Co were fabricated using powder metallurgy o process. Then, the powder mixtures were pressed and sintered by using vacuum sintering technique at above 600 C. In this present research, the samples were tested for its hardness by rock well hardness test. It was found that the hardness increased with increase in percentage of WC-Co. The surface morphology of the samples were investigated by Scanning Electron Microscopy (SEM). PXRD (Powder X-Ray Diffraction) analysis reveals that, uniform structure of composites was formed in Al-WC-Co.
Mechanical and tribological behaviors of graphite filled carbon fabric reinforced epoxy composite were investigated in the present study. Three body abrasive wear tests were conducted with four process parameters, filler content, normal load, abrading distance, and abrasive particle size. Grey Relational Analysis is used to optimize the multi performance characteristics to minimize the specific wear rate and density, and to maximize the tensile, flexural and impact strength of graphite filled carbon epoxy composite. The experiments were designed according to Taguchi's L orthogonal array 9 to optimize experimental runs. The results indicated that tensile, flexural and impact strength, and the specific wear rate of composite increased with increase in graphite filler content. Analysis of variance was applied to determine the parametric influence on the performance output. From the ANOVA it is observed that, graphite filler content has the most significant factor influencing the mechanical and wear behavior of composites. An optimized parameter combination was obtained by grey relational analysis. Finally, a confirmation test was performed according to predicted optimal parameter setting and found the successful implementation of grey based Taguchi approach.