Mechanization and Import Substitution in Zimbabwean Farmers' Equipment: A Case Study of the Revitalization of an Abandoned Tractor Trailer
Drill String Vibrational Analysis and Parametric Optimization for a Portable Water Well Rig Development
An Efficient Deep Neural Network with Amplifying Sine Unit for Nonlinear Oscillatory Systems
The Occupational Directness of Nanorobots in Medical Surgeries
Recent Trends in Solar Thermal Cooling Technologies
Design of Oil-Ammonia Separator for Refrigeration Systems
A Review on Mechanical and Tribological Characteristics of Hybrid Composites
Design and Experimental Investigation of a Natural Draft Improved Biomass Cookstove
Progressive Development of Various Production and Refining Process of Biodiesel
Optimization of Wire-ED Turning Process Parameters by Taguchi-Grey Relational Analysis
Evaluation Of Mechanical Behavior Of Al-Alloy/SiC Metal Matrix Composites With Respect To Their Constituents Using Taguchi Techniques
Multistage Extractive Desulfurization of Liquid Fuel by Ionic Liquids
Isomorphism Identification of Compound Kinematic Chain and Their Mechanism
Development of Electroplating Setup for Plating Abs Plastics
A Comprehensive Review of Biodiesel Application in IDI Engines with Property Improving Additives
Weld surfacing is employed for the fabrication of new components for use in chemical and fertilizer plants, nuclear power plants, pressure vessels, agricultural machines and even aircraft and missile components. Though weld surfacing is carried out by various techniques, automated submerged arc welding (SAW) is the popularly employed technique due to its high quality and reliability. Also, by the proper selection of the process control parameters, single wire surfacing becomes one of the cost effective means of depositing a corrosion resistant overlay. However, for use of SAW in its automatic mode, the control parameters are required to be fed to the system according to some mathematical formulation to achieve the desired end results. A mathematical model was developed to predict the weld bead geometry for pipes. The responses, namely, penetration, reinforcement and width as affected by open-circuit voltage, wire feed-rate, welding speed and nozzle-to-plate distance, have been investigated. The theoretical predictions of the effect of current and electrode polarity on the melting rate were also presented in this paper.
This paper deals with the experimental determination of convective heat transfer coefficient in a counter flow double pipe heat exchanger using water based TiO2 ZnO nanofluids with 0.002% & 0.004% volume concentrations. Experiments are conducted at various Reynolds numbers ranging from 1600 to 6100. From the experimental results, it is found that heat transfer coefficient increases with increase of volume concentration of nanoparticles as well as Reynolds number. Enhancement of heat transfer coefficient between nanofluids with 0.002% volume concentration of TiO2 ZnO and the inner walls of copper tube in a double pipe heat exchanger increased up to 30.37% and 57.31% , respectively. The enhancements are as high as 66.12% and 78.30% when the volume concentration is 0.004% of TiO2 and ZnO respectively for same set of operating conditions when compared to pure water at Reynolds number 6100. The experimental results are presented in graphical form. The variation of heat transfer coefficient in both dimensional and non-dimensional form are presented as a function of Reynolds number for different volume concentrations of nanofluids. The effectiveness of heat exchanger is also presented as a function of volume concentration of nanofluids.
It is well known that the heat flux constitutive model of Jeffrey's type heat transport equation yields various modes of thermal energy transport. The significance of varying a given parameter “K” in the equation starting from zero and the sequence of events describing the hyperbolic (propagative / non-Fourier) wave nature of the thermal energy transport through a mildly hyperbolic transition to a fully parabolic (diffusive / Fourier) is well described in the earlier works. Based on the Taylor's series expansion, this paper interprets the Jeffrey's type heat transport equation from strategic computational method point of view so as to incorporate the parameter “K” as the time difference in the series expansion of the temperature in time at a given spatial point. This paper not only leads to better understanding of the parameter “K” as the time lag between the temperature gradient as the driving potential and its response the heat flux, but also transforms the Jeffrey's thermal model into a computationally advantageous form similar to that of Fourier's thermal model. This paper is the introducer to the series of research works carried out in the computational methods for characterizing and resolving Jeffrey's thermal problems culminating to a most power full numerical scheme in CFD, the Flow field Dependent Variation (FDV) method
This experimental study has been performed to investigate heat transfer enhancement factor E from a heated circular cylinder in a channel by pulsating flow. During the experiment, the effect of the Reynolds number (Re. = 696 and 957) on heat transfer enhancement factor E is examined and the pulsating frequency was kept in the range of 0Hz < fp < 60Hz. This experiment shows the effects of various gap height (S/D= 2.5, 3.5 and 4.5) on the temperature, Enhancement factor E and Nusselt number with respect to pulsating frequency. It is also revealed that as the gap height decreases, the temperature and heat transfer enhancement factor E increases and the values of Nusselt number also decreases. This experiment shows that value of Reynolds number is increased to increase the value of Nusselt number.
This paper presents a determination of the effect of cutting parameters on Material Removal rate and Surface Roughness during turning of AISI H21 steel under dry machining condition using Response surface methodology (RSM). For this purpose, CNMG 120412 MP of Grade TT 8135 has been selected as cutting tool material. The different levels of all cutting parameters have been used and experiments are done on HMT CNC lathe machine STALLION-100 HS. To analyze the experimental observations, a statistical tool Design Expert Software of version 9.0.3.1 has been used to reduce the calculations and to arrive at exact improvement plan of the Manufacturing process & Techniques.The experimental results indicated that MRR increases with the increase in feed rate, spindle speed and depth of cut. It is also seen that the Ra decreases with increase in spindle speed but increases with increase in feed rate. The optimum values of Spindle Speed, Feed rate and Depth of cut to maximize the MRR (2766.81 mm3 /sec) are 1594.723 RPM, 0.35 mm/rev and 2 mm respectively. The optimum values of Spindle Speed, Feed rate and Depth of cut to minimize the Ra (2.291 μm) are 1599.997 RPM, 0.15 mm/rev and 1.797 mm respectively.
This paper aims the development of multi response optimization technique using utility method to predict and select the optimal setting of machining parameters while machining AISI 4340 steel. The experimental studies in machining were carried out under varying conditions of process parameters, such as cutting speed (v), feed rate (f) and different cooling conditions (i.e. dry, wet and cryogenic in which liquid nitrogen used as a coolant) by using uncoated tungsten carbide insert tool. Experiments were carried out as per Taguchi's L9 orthogonal array with the utility concept and multi response optimization were performed for minimization of tool wear (Vc) and specific cutting force (Ks). Next, statistical analysis of variation (ANOVA) and analysis of mean (ANOM) were led to determine the effect of process parameters on responses Vc and Ks based on their P-value and F-value at 95% confidence level. The optimization results proved that, cutting speed 57 m/min, feed rate 0.248 mm/min and cryogenic cooling is required for minimize tool wear and specific cutting force.
