Biofuel based energy is likely to be promoted to reduce the dependency on fossil fuels. The most common alternative fuel is FAME biodiesel that is produced by trans esterifi cation. But some disadvantages are also associated with biodiesel; new technologies are under investigation for the production of other biofuels. In the present study green diesel was produced by hydro processing of waste cooking oil. The performance and emission characteristics of green diesel were investigated in single cylinder CI engine. The results were also compared by the corresponding results obtained by conventional diesel fuel. The engine was tested in a series of steady state operating conditions at different load by keeping constant speeds of 1500 rev/min. The performance parameters like brake thermal effi ciency (BTE %), specifi c fuel consumption (SFC in kg/h) and emissions parameters like HC, CO 2 , CO and NOX emissions were investigated. It was observed that BTHE of green diesel is 23% and 21.76% for petro diesel at 20% load, at 40% load it is 34.24% for green diesel and 25.8% for petrol diesel at 60% load it is 35.93% for green diesel and 31.74 for petro diesel at 80% load it is 38.24 for green diesel and 31.66 % for petro diesel at 100% load it is 31.6% for both green diesel and petro diesel These results show that BTHE increases for green diesel fuels at all load except full load condition. From the results, it was found that for green diesel BSFC(kg/kwh) is1.83 for green diesel and 2.57 for petro diesel at no load condition and at full load it is 0.267for green diesel and 0.270 for petro diesel which is less as compare to petro diesel. It was observed that CO (%VOL) at load (%) 20,40,60,80,100 for green diesel are 0.06, 0.03,0.02,0.02,0.03 and for petro diesel are 0.06,0.04,0.03,0.03 and 0.04 respectively. It is observed that HC (PPM) emission at load (%

Recently automated and / or robotic welding systems have received a great deal of attention because they are highly suitable not only to enhance production rate and quality, but also to decrease cost and time to manufacture for a given product. To get the desired quality welds it is essential to have complete control over the relevant process parameters in order to obtain the required bead geometry. Mathematical models need to be developed to have such control and to make effective use of automated and / or robotic arc welding process.

In present experimental study an attempt has been made to investigate the effect of three machine input parameters namely current,voltage and nozzle to plate distance (NPD) on tensile strength of weld bead and weld penetration. Three different levels (current 180, 190, 200 in ampere. Voltage 21, 24, 27 in volt and NPD 12, 16, 20 in mm) have been considered in order to evaluate the effect of these parameters on tensile strength and penetration of weld bead. Taguchi method has been employed to abate the number of experiments and analyze the effect of various parameters. Orthogonal array L9 was used for data optimization. On the basis of experimental data, the mathematical technique has been developed by using analysis of variance. Results were obtained from each parameter at different levels for tensile strength and weld bead geometry. Based on these results different parameters were identified for maximum tensile strength and maximum weld penetration. Result show that maximum tensile strength was 390.8 Mpa at 200 ampere current, 27 volt and 16 mm NPD where as maximum weld penetration was 3.20 mm at 200 ampere current, 24 volt and 12 mm NPD

Three input machine parameters namely current, welding speed and gas flow rate at three different levels have been considered in order to find out the influence of parameters on weld bead geometry, i.e. weld bead width, penetration and angular distortion. Taguchi method has been used in order to analyse the effect of various parameters on the weld geometry. Orthogonal array L9 has been applied for conduct in the experimentation. Based on the experimental data, the mathematical model has been developed using analysis of variance (ANOVA). It is found that TIG welding with flux powder SiO 2 increases the penetration and decreases the bead width, and tends to reduce angular distortion of the welds.

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