DILLIP MOHANTA

Low carbon steel is easily available and cheap having all material properties that are acceptable for many applications. Heat treatment on low carbon steel is to improve ductility, to improve toughness, strength, hardness and tensile strength and to relive internal stress developed in the material. Here basically the experiment of harness and ultimate tensile strength is done to get idea about heat treated low carbon steel, which has extensive uses in all industrial and scientific fields

Micro-drilling processes have been widely used to produce micro holes such as micro dies and molds, fuel injection nozzles, watches, bearings and printed circuit boards. In this thesis all the available micro drilling technologies are reviewed. Whirling of the drill edge at the time of penetration into the work piece degrades hole quality as well. In order to measure circularity error, We requires the measurement systems such as optical microscope, and to measure drilling torque and thrust force, it is to be use of Dynamometer of Kistler (9272A). The way to optimize the DOE it is required orthogonal array. The orthogonal array of L 9 is used in this experiment.

When two surfaces are rubbed together without a lubricant, the friction between them converts mechanical energy into heat energy at the interface. The effect is exploited in friction welding. The frictional heat along with application of a light external pressure cause permanent joining of the metals. The input process parameters like w/p rotational speed, upsetting pressure and friction time have a substantial effect on the tensile strength of the resulting joint. Therefore, finding the optimal input parameter combination is very important to ensure a good quality weld. This paper presents an experimental investigation on optimization and the effect of welding parameters on single response (tensile strength) in welding of 6065-Aluminum Alloy rod with a diameter of 20 mm using Taguchi statistical method. Metal joints were made by using different combinations of input parameters each at three different levels. The quality of the weld zone was analyzed by mechanical testing and micros...

ABSTRACT Friction Welding is a variation of pressure welding method. Though some experience has already been accumulated in the industrial application of friction welding, achieving the optimal processing parameters is still a difficult task. This work is putting a step forward to achieve the best possible design. This paper presents an investigation on the optimization and the effect of welding parameters on multiple performance characteristics (tensile strength and the metal loss) obtained by friction welded joints. A plan of experiments based on the Taguchi method was designed. The output variables were the tensile strength and metal loss of the weld. These output variables were determined according to the input variables, which are the Heating Pressure (HP), Heating Time (HT), Upsetting Pressure (UP) and Upsetting Time (UT). The main objectives of this study are maximization of tensile strength and minimization of metal loss. By statistical analysis, an optimal level of combination of processing parameters is achieved. To validate the optimization, experience were conducted at optimum parameters.

Tool behavior in metal cutting is inevitable since they are typically required to produce components with high precision. This would have a profound impact on efficiency and costs of machining. The cutting forces involved at chip tool interface and the surface finish of the machined surfaces are the two major facets to gauge the performance of tool. The prediction by a statistical model, and the experimental values recorded using various sensors especially dynamometers are different approaches to critically analyze the cutting forces. Many researchers use to extensively practice these methodologies for their research activity. The aim of current research is to critically analyze & summarize approaches i.e., experimental/predictive available for gauging the cutting forces with user suggestion.