Modeling and Analysis for Surface roughness in Machining EN-31 steel using Response Surface Methodology

This paper utilizes the regression modeling in turning process of En-31 steel using response surface methodology (RSM) with factorial design of experiments. A first-order and second-order surface roughness predicting models were developed by using the experimental data and analysis of the relationship between the cutting conditions and response (surface roughness). In the development of predictive models, cutting parameters of cutting velocity, feed rate, depth of cut, tool nose radius and concentration of lubricants were considered as model variables, surface roughness were considered as response variable. Further, the analysis of variance (ANOVA) was used to analyze the influence of process parameters and their interaction during machining. From the analysis, it is observed that feed rate is the most significant factor on the surface roughness followed by cutting speed and depth of cut at 95% confidence level. Tool nose radius and concentration of lubricants seem to be statistically less significant at 95% confidence level. Furthermore, the interaction of cutting velocity/feed rate, cutting velocity/ nose radius and depth of cut/nose radius were found to be statistically significant on the surface finish because their p-values are smaller than 5%. The predicted surface roughness values of the samples have been found to lie close to that of the experimentally observed values

Estimation of Nortriptyline hydrochloride in Bulk and Formulation by UV-Spectrophotometric Area Under Curve Method

The simple, precise and accurate UV-Spectrophotometric method has been developed and validated for the estimation of nortriptyline hydrochloride in bulk and dosage form. In that work was carried out for estimation of nortriptyline hydrochloride in bulk and pharmaceutical dosage form by utilizing area under curve (AUC) method. For this purpose the wavelength range 200-400nm was selected. DMSO was used as solvent throughout the work. Linearity was observed in concentration range 5-25µg/ml (R2 =0.996) for the method. The present method was found which can be used for routine quality control analysis for spectrophotometric estimation of Nortriptyline hydrochloride in bulk and dosage form. Keywords: Nortriptyline hydrochloride, Area under curve (AUC), DMSO, UV-Spectrophotometric

Power Prediction Model for Turning EN-31 Steel Using Response Surface Methodology

Power consumption in turning EN-31 steel (a material that is most extensively used in automotive industry) with tungstencarbide tool under different cutting conditions was experimentally investigated. The experimental runs were planned accordingto 24+8 added centre point factorial design of experiments, replicated thrice. The data collected was statisticallyanalyzed using Analysis of Variance technique and first order and second order power consumption prediction models weredeveloped by using response surface methodology (RSM). It is concluded that second-order model is more accurate than thefirst-order model and fit well with the experimental data. The model can be used in the automotive industries for decidingthe cutting parameters for minimum power consumption and hence maximum productivit

Sound Fire Extinguisher

Everyone knows fire it is very useful as well as hazardous for human life. when we go close to it we feel warm in cold weather, fire is mostly used in industries also in automobiles to run the vehicle, in houses for cooking food or in bigger food industries chemical industries, nuclear power plants, hydrolic power plants, but if situation goes out of control then what we do, we use fire extinguisher to extinguish flames what it consist, it consist of powder material or chemical of carbon dioxide which avoids the contact of oxygen to the flames. Fire(flames) requires oxygen to burn continuously, without oxygen flames can't burn ,so that we are going do in our project. My group is going to make a device which will work as a fire extinguisher but with the help of “sound”. Sure sound ridiculous but it is true. A sound which extinguish flames.We are going to extinguish flames using sound frequency. It is all about bass as we in human life music is most appreciating thing for different emotions for express enjoyment for relaxing and for music speakers are mostly used. And we know speakers are mostly use in dj concerts in function ns or in events. Means these are basically use to listen music And that we are going to do, for proper working of model we need specific sound frequency with a bass sound which will have pulse. When we put these sound frequency of flames then the sound stops the supply of oxygen due to which flames will be extinguish. flames will be start to extinguish