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Technical Paper

Development of Prediction Models for Spark Erosion Machining of SS304 Using Regression Analysis

2022-10-05
2022-28-0339
Stainless Steel 304 (SS304) is a nickel–chromium–based alloy that is regularly used in valves, refrigeration components, evaporators, and cryogenic containers due to its greater corrosion resistance, high ductility, and non-magnetic properties, as well as good weldability and formability. Multiple regression analysis was used to establish empirical relationships between process variables. Additionally, the established regression equations are employed to predict and compare experimental data. Due to the increasing demands for high-quality surface finishes and complex geometries, traditional methods are being replaced by non-conventional techniques such as wire EDM. This process, which emerged from the electrical discharge machining concept, mainly involves creating intricate components. WEDM results in a high degree of precision and excellent surface quality. Due to the complexity of WEDM, the processing parameters cannot be selected by using the trial-and-error method.
Technical Paper

Prediction of Material Removal Rate in Wire Electrical Discharge Machining of Aluminum Composites for Automotive Components

2020-09-25
2020-28-0399
Wire Electrical Discharge Machining (WEDM) is a contemporary approach of material removal which is conceived from the concept of Electrical Discharge Machining process. Wire Spark Erosion Machining which is known as WEDM, predominantly employed for removing material from hard materials and also especially used for making intricate shapes on any electrically conductive work material with irrespective of the hardness. Composite materials offers improved mechanical properties depends upon the constituents to be added. Graphene is identified as outstanding reinforcing element which provide support to enhance the desired properties of aluminium metal matrix composites in a considerable manner. In this present exploration an analysis has been performed on WEDM of Al-GNP composites. Pulse on time (μs), pulse off time (μs) and servo voltage (V) are deemed as input process parameters in this present exploration.
Technical Paper

Characterization of Areca and Tamarind Fiber Reinforced Hybrid Polymer Composites for Structural Applications

2019-10-11
2019-28-0168
Recently, owing to the noteworthy properties like biodegradable, low cost, readily available, easy processing, less toxic and eco-friendly nature natural fibers reinforced composites are used in different engineering applications. Nevertheless, the traditionally used synthetic E-glass fiber composite shows inverse features than that of reported natural fiber composites. Hence, in the current investigation discarded areca and tamarind fibers was collected, extracted and characterized for its overall performance and to implement it as a better alternative for artificial fiber composites. Composite coupons were made with different magnitudes of fiber/matrix and inspected for their potentiality by exploring its mechanical and thermal assets as per standard techniques. The developed areca and tamarind hybrid composite results shown better part than their individual composites and also in par with the prevailing synthetic fiber products.
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