Investigation of Wear Behaviour of Al6061 reinforcement with TiC and MoS2

Metal matrix composite (MMC) focuses primarily on improved specific strength, high temperature and wear resistance application. Aluminum matrix reinforced with titanium carbide and molybdenum disulfide has good potential and also self-lubrication. The main challenge is to produce this composite in a cost effective way to meet the above requirements. In this study Al–TiC-MoS2 castings with different volume fraction of TiC and MoS2 were produced in an argon atmosphere by an enhanced stir casting method. Hardness of the composite has increased with higher % of TiC addition. At that same time self-lubrication of composite has occur in the effort of MoS2. Dry sliding wear behavior of AMC was analyses with the help of a pin on disc wear and friction monitor. The present analyses reveal the improved hardness  as well as wear resistance

M Modulo N graceful labeling of path union and join sum of complete bipartite graphs with its algorithms

A graceful labeling of a graph G(p, q) is an injective assignment of labels from the set {0, 1, ..., q} to the vertices of G such that when each edge of G has been assigned a label defined by the absolute difference of its end-vertices, the resulting edge labels are distinct. In this paper we used the new labeling technique known as M modulo N graceful labeling and prove that path union of complete bipartite graphs and join sum of complete bipartite graphs are M modulo N graceful labeling. We also give a C + + program for finding M modulo N graceful labeling on above said graphs

Optimization of laser welding of tri – metal joint via response surface methodology

 Laser welding input parameters play a major role in determining the quality of a weld joint. In the nuclear power plants, hybrid structures of nickel and steel alloys offer an advantage in comparison to conventional materials, e.g. in heat exchanger tube areas. Due to demand in the nuclear industry for new material combinations based on commercially available and qualified materials, research into thermal joining of dissimilar materials has been initiated. The use of laser for joining mild steel / nickel with 316L austenitic stainless steel filler material and structures offers some advantages compared with usual thermal joining processes. The main aim is the control of phase formation, which occurs during thermal joining of mild steel to nickel. In this research work microstructure study and optimization of laser welding of mild steel / nickel sheets with wire feeding was done using Central Composite Design(CCD) and Response Surface Methodology (RSM) are used to build the mathematical model. By means of the laser power, welding speed and pulse width on the tensile strength model was developed and tested by analysis of variance method (ANOVA), the relationship between process parameters and output response and interaction among the process parameters are analyzed and discussed in detail. The scanning electron microscopes (SEM) with energy dispersive X-ray spectroscopy (EDS) technique were used for microstructure study of the bi-metal and tri-metal joints of the weld

Tris(2,4-di-tert-butyl­phen­yl) phosphate

The title compound, C42H63O4P, was isolated from the leaves of Vitex negundo. Two of the tert-butyl groups are disordered over two orientations with occupancy ratios of 0.57 (1):0.43 (1) and 0.67 (1):0.33 (1). Several intra­molecular C—H⋯O inter­actions are observed in the mol­ecular structure

Modeling Volume Loss of Heat Treated Al 6061 Composites Using an Artificial Neural Network

AbstractIn the present study, artificial neural network (ANN) approach was used to predict the volume loss of heat treated Al 6061 metal matrix composites reinforced with 10% SiC particles and 2% graphite particles. Composite was produced using stir casting process. Volume loss of composite was measured during wear testing in a pin on disc apparatus. Microstructure examination at wear surface was investigated by Scanning Electron Microscope (SEM). In Artificial Neural Network (ANN), Multi Layer Perceptron (MLP) architecture with back-propagation neural network that uses gradient descent learning algorithm is utilized. The results clearly revealed that the developed ANN model is reliable and accurate

Investigation on Performance of Pulsating Heat Pipe

The main aim is analysis the performance of pulsating heat pipe with open loop system. This design has effective to enhance the performance of heat pipe. The heat pipe having various limitations like capillary limit, boiling limit, entrainment limit, sonic limit etc. In this work, we analyze the overall heat transfer coefficient, heat transfer efficiency of the heat piper for different heat input and angle of variations. The work has been made with DI Water as working fluids. The performance of pulsating heat pipe tends to be better with heat pipe fabricated with 10mm size with Heat input of 50 W at angle inclination 45⁰

INTERACTION OF ICHNOCARPUS FRUTESCENS WITH BIOGENIC AMINES FOR ITS ANTI-DEPRESSANT ACTIVITY

The research interest has focused on various herbs that possess antidepressant properties and may be useful adjuncts in helping the management of depression in humans. The present study was therefore designed to investigate the antidepressant-like effects of methanol leaf extract of Ichnocarpus frutescens in animal models of depression. The mice were divided in to different groups and treated with two different doses of methanol extracts (200 & 400 mg/kg), same doses of extracts with different antagonist of 5HT, NA & DA (Ondansetran, Terazosin & Chlorpromazine) and standard groups treated with imipramine 10mg/kg. All groups of animals were separately submitted to forced swim test (FST), and Tail suspension test (TST) tests for the bio-screening of leaf extract with antidepressant profile. Results revealed that the immobility time in the FST & TST was significantly reduced with extracts alone and extracts with Chlorpromazine treated group compared to negative control. There is no significant reduction in immobility time was observed particularly in rats orally administered extracts with Ondansetran & Terazosin when compared with their respective controls. Thus, it is suggested that methanol leaf extract of Ichnocarpus frutescens exhibited significant antidepressant-like effects in animal models of depression and may be served as a potential resource for natural psychotherapeutic agent, against depression and its may act mostly through modifying serotonergic and noradrenergic neurons

Performance Prediction Modelling for Flexible Pavement on Low Volume Roads Using Multiple Linear Regression Analysis

Prediction models for low volume village roads in India are developed to evaluate the progression of different types of distress such as roughness, cracking, and potholes. Even though the Government of India is investing huge quantum of money on road construction every year, poor control over the quality of road construction and its subsequent maintenance is leading to the faster road deterioration. In this regard, it is essential that scientific maintenance procedures are to be evolved on the basis of performance of low volume flexible pavements. Considering the above, an attempt has been made in this research endeavor to develop prediction models to understand the progression of roughness, cracking, and potholes in flexible pavements exposed to least or nil routine maintenance. Distress data were collected from the low volume rural roads covering about 173 stretches spread across Tamil Nadu state in India. Based on the above collected data, distress prediction models have been developed using multiple linear regression analysis. Further, the models have been validated using independent field data. It can be concluded that the models developed in this study can serve as useful tools for the practicing engineers maintaining flexible pavements on low volume roads

Parametric Tolerance Impact on Algebraic Position and Joint Torques of a Three Link Planar Manipulator using Evolutionary Techniques

814-818Tolerance analysis is a difficult task and an optimum tolerance allocation for individual parts is done to reduce the process error. This paper articulates the effect of changes in the link lengths due to manufacturing tolerance variation on the target path, assembly cost and joint torques of an R-R-R (three revolute joints) configuration planar three link robot manipulator. Genetic Algorithm (GA) and Elitist Non-dominated Sorting Genetic Algorithm-II (NSGA-II) are utilized to find optimum link lengths for the three link planar manipulator to minimize the errors. The analyses are further extended to identify the effect due to the three types of tolerances (fine, medium and coarse tolerances) on link lengths using C program codes and the results obtained from evolutionary algorithms are compared