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Among different unconventional peening technique, water jet is cold working process has capable to produce surface topography on wide variety of materials. This paper deals with the effect of water jet peening on the corrosion resistance and the surface topography of AZ31B Mg alloy. Variations in water jet peening variables including standoff distance, traverse speed and multiple passes have been employed in this study. A study of the enhancement in hardening and roughening effect was made following the peening process. 29.44% Improvements in microhardness and 31.06% reduction in surface roughness were observed on the peened surfaces. Optimal peened surface was obtained through use of the multi-objective optimization technique, namely, TOPSIS, which utilizes response variables such as micro hardness and surface roughness. In this study, Surface Topography, XRD Analysis and Electrochemical test were conducted. In addition, analysis of the Microstructure of corroded region was made in the unpeened and optimized peened surfaces. Surface topography parameters including Sa, Sq, SSk, Sku results confirmed the suitability of the peened surface for ooseointegration and cell growth. FWHM value measured from XRD peaks showed the formation of grain refinement on the peened surface, and the results showed promising improvements in the corrosion resistance compared to the unpeened AZ31B Mg alloy.

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This paper reports on the optimization of turning process on all geared lathe by the effects of machining parameters applying Response Surface Methodology (RSM) to improve the quality of manufactured goods, and engineering development of designs for studying variations. EN36 is used as the work piece material and TNMG insert is used as a tool for carrying out the experimentation to optimize the Temperature, and Surface Roughness. There are three machining parameters i.e. Spindle speed, Feed rate, Depth of cut. Twenty Seven experiments are done by varying all the parameters. Regression equations are generated from RSM. Their functional relationship and effect on different parameters is studied. ANOVA is applied to know which input parameter has most significant effect on temperature and surface roughness. It is observed that as the spindle speed and depth of cut decreases the temperature decreases. The surface roughness is minimum when the spindle speed is high and feed is less. Optimum value of each parameter will be obtained by using Minitab16 Software.