Abstract

The growth in manufacturing technology enhanced the usage of CAD and CAM in industry. CNC systems are frequently been adopted for manufacturing. The high precision, accuracy, and repeatability of these systems are making them popular in industry as well as among researchers. The high capital investment involved force these systems far from the reach of researchers and students. For research in manufacturing trends, researchers and students usually came across the need of precise axial movements. The aim of this work is to make CNC technology portable and available for researchers and students. Rigid base of 16 mm thick aluminum plate was designed, with lead screw accumulating the linear movements. NEMA 23 stepper motors were used to power the linear drives with the help of micro stepping driver and CNC USB control. The final router developed is flexible for any imaginative use as well as economical thus can be a very supportive tool in the hands of researchers and students.

Abstract

In the present work, A356 aluminum alloy with 5 wt. % SiC reinforcement was made-up by electromagnetic stir casting process. The main objective of this work is to find out the influence of Polycrystalline Diamond (PCD-10) tool geometry on the surface roughness, during turning operation of metal matrix composite (A356/5wt.% SiC). Box-Behnken Design technique was preferred to observe the effect of tool geometry on the surface roughness. The results show that when rake angle increases, surface roughness decreases, but reverse phenomena is observed when approach angle and nose radius increase, surface roughness also increases. To minimize the surface roughness (Predicted 3.732 μm) and flank wear (0.05 mm), optimum values of rake angle (-3 degree), approach angle (50 degree) and nose radius (0.4 mm) has been obtained during machining

Abstract

In Mechanical Engineering, a bracket is defined as any component which acts as the intermediate for fixing one part to another, usually larger. Brackets are varied widely in shape, but the prototypical bracket would be of L-shaped metal piece that joins the shelf (the smaller component) and the wall (the largests component): its vertical arm is fixed to one (usually large) element, and its horizontal arm protrudes outwards and holds another (usually small) element. The shelf bracket is effectively the same as the architectural bracket in which a vertical arm mounted on the wall, and a horizontal arm projecting outwards for another element to be attached on top of it or below it [8]. The objective of this paper is to deal with the analysis of L-shaped bracket having uniform distributed load at its top surface and find out the value of von Mises stress, principal stress, and total deformation using ANSYS.

Abstract

NDT (Nondestructive Testing) is one of the most important tools for quality assurance of structural member during manufacturing stage and operational life. Among number of NDE methods, Ultrasonic has been the most important tool of choice to inspect, since the likely defects and material properties are easily and inexpensively uncovered by it. Manual ultrasonic is much better than radiography for planar defects, though the result is operator-dependent. Due to hazardous nature of X-rays, ultrasonic NDT gained importance in Medical and Quality checking departments. Due to limitations in accessing other side of the structure/specimen and immeasurability of transmitted signal (such as cardiovascular imaging), ultrasonic reflection imaging has great importance for NDE as well as medical applications. In the present paper, the ultrasonic reflection imaging of defected portion is used to characterize a defect by the Time of Flight data of reflected signal. It involves the reconstruction of slowness field for centered square, circular defects of epoxy implanted in Mild steel specimen. Backwall Reflected signal time of flight data is collected by using pulsar receiver ultrasound instrument in pulse echo mode. Slowness field reconstruction is done by Gordon’s Algebraic Reconstruction Technique (ART). Before the reconstruction, the signals are denoised by adopting EMD technique. Variation of parameters like number of iteration required for convergence, convergence rate, and normalized error with relaxation parameter have been studied. From the point of view of computation time, convergence and quality of reconstructed image optimal selection of relaxation for best performance has been chosen. Results have shown that algorithm is capable of characterizing defects; but for curve boundary defects, shape accuracy is less.

Abstract

India is a large country and its agricultural production is very crucial to guarantee its people and their livelihood. As an important productive material in agriculture, fertilizer plays a significant role in ascertaining its sustainable development and food safety. Exposure to industrial ethics and increased sense of social responsibility on part of environmental concerns has necessitated fertilizer industries around the globe to recognize and evolve environment friendly business practices. Fertilizer Industry has been identified as one of the largest polluting industries, owing to Greenhouse Gas (GHG) emissions caused by burning of fossil fuels in boiler and chemicals used in the manufacturing of fertilizer. The pollution is caused by manufacturing of fertilizer and manifests all through its Supply Chain (SC) in the form of losses, leading to additional need of fertilizer for the agriculture sector to ensure food safety and hence more environmental degradation occurs. In this paper, an attempt has been made to formulate a model of drivers that have a bearing on the implementation of Green Supply Chain Management (GSCM) by making use of Interpretive Structural Modeling (ISM) with special reference to fertilizer industries.

Impact of production, transportation, distribution, and environmental/legal concerns on to the green supply chain management effectiveness have been examined in this paper. Literature review identifies the main categories of the above mentioned variables which are considered as an important indicator of the supply chain management affecting business processes to a large context. Data is gathered through questionnaire distributed to key players in fertilizer sector/industries in Punjab, which were further analyzed statistically. GSCM finds extensive applications in fertilizer Industry and has the potential to deliver cleaner fertilizer, coupled with economic gains in the practicing organizations.