Journal of Mechanical and Mechanics Engineering

Journal Information
EISSN : 2581-3722
Total articles ≅ 7
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M. Jaya Krishna, A. Lakshumu Naidu
Journal of Mechanical and Mechanics Engineering, Volume 8, pp 8-17; https://doi.org/10.46610/jomme.2022.v08i03.002

Abstract:
Diesel engines are suited to human usage. With the trend of Petro diesel running out, experts have been concentrating more on alternative fuels. One such alternative fuel whose fuel characteristics are more similar to diesel is bio-diesel. The majority of researchers came to the conclusion that by using 100% bio-diesel, emissions might be lowered while still retaining efficiency, with a minor increase in NOX emissions relative to diesel fuel. In this study, we looked at adding isopropanol to reduce these NOX emissions. An IDI (Indirect Diesel Injection) single-cylinder, four-stroke diesel engine is selected for testing. It is feasible to ascertain the engine characteristics and emissions of fuels like diesel and rice bran methyl ester (RBME) mixed with iso-propanol additive by conducting tests on IDI engines. The goal of the task is to determine the best settings for each answer, analyse the impact of each input component on the response, compare projected values using Taguchi's Additive Law and multiple regression techniques, and determine Confidence Intervals (CI). The regression formulas are derived from multiple regression analysis with a coefficient of regression up to 83% for the responses Exhaust Gas Temperature (EGT), Brake Thermal Efficiency (BThe), Brake Specific Fuel Consumption (BSFC), Hydrocarbons (HC), Carbon Monoxide (CO), Carbon Dioxide (CO2), Oxygen (O2), Nitrogen Oxides (NOX), and Smoke. RBME+2% Isopropanol is shown to be the optimum fuel overall based on engine performance and emission characteristics, particularly for EGT, BThe, BSFC, O2, NOX, and Smoke.
Suraj S. Haswal, Rutwika R. Yamgar, Soundarya T. Patil, Avesahemad S. N Husainy
Journal of Mechanical and Mechanics Engineering, Volume 6, pp 30-34; https://doi.org/10.46610/jomme.2020.v06i03.005

Vipin Kumar, Salma Khatoon, Munawar Nawab Karimi, Sandeep Kumar Kamboj
Journal of Mechanical and Mechanics Engineering, Volume 6, pp 14-21; https://doi.org/10.46610/jomme.2020.v06i03.003

Abstract:
— The performance of a two stage cascade refrigeration system using environment friendly refrigerant pair R744 in low temperature cycle and R1234ze(E) in high temperature cycle has been examined by mathematical simulation in EES ( Engineering Equation Solver). The operating parameters considered in this study are evaporator temperature and condenser temperature. The results shows that with increase in condenser temperature, total exergy loss is increasing and total COP is decreasing. The similar effect has been seen with increase with evaporator temperature but rate of increase of total exergy loss and rate of decrease of total COP with evaporator temperature is low.
Prasanna Nagasai B, Kiran Prasadh D
Journal of Mechanical and Mechanics Engineering, Volume 6, pp 7-13; https://doi.org/10.46610/jomme.2020.v06i03.002

Abstract:
This paper presents the solution for axial tensile force of uniform bar in four different methods. In this study mild steel uniform bar of Young’s modulus is 2 x 105 N/mm2 and area is 81 mm2 was used to finding the value of stress and displacement. In the X- direction 14.71 N axial force applied on bar. To solving the problem four different methods were used like Finite Element Methode (FEM), Experimental, ANSYS and MAT Lab. From four methods the stress and displacement obtained approximately same values.
Om Prakash Singh, Gaurav Kumar, Mukesh Kumar
Journal of Mechanical and Mechanics Engineering, Volume 6, pp 1-6; https://doi.org/10.46610/jomme.2021.v06i03.001

Abstract:
In order to minimize surface roughness, in this paper Taguchi technique is being used for optimizing the shoulder milling process parameters. The shoulder milling was done on VMC milling machine on AA6063 T6 by using M series solid carbide tool. There are following cutting parameters like coolant, speed, feed and depth of cut were considered and the level of these parameters were three except the coolant at two level was considered. The experiments was conducted by using L18 orthogonal array. Signal to noise ratio were calculated for finding the effects of shoulder milling parameters on surface roughness. And analysis of variance was used for finding the contribution of each parameters. The validation of experimental results was done by the confirmation test. Levels of shoulder milling machining parameters to minimize surface roughness were A1B1C2D2 i.e. coolant on with a feed of 200 mm/min, depth of cut of 0.25 mm and speed is at 5800 rpm. ANOVA table represented the parameters which mostly affected the surface roughness with 40.18% contribution of feed rate which is maximum followed by speed (21.90.%), depth of cut (16.48%), and affect of coolant 0.81%) is insignificant. The study also shows that this method can effectively improve the surface finish of the shoulder milling process.
Ravi Soni, Satish B. Purohit
Journal of Mechanical and Mechanics Engineering, Volume 6, pp 18-22; https://doi.org/10.46610/jomme.2020.v06i02.004

Abstract:
Correlation is established between the experimental outcome and the theoretical analysis of the ductility variation in a tensile test of standard specimen of Mild Steel. For the hyperboloid distribution pattern of ductility from near zero to full gage length the numerical values can be assigned to the elongation and reduction in area. The’ hyperboloid nature varies for different materials and can, be assigned as a characteristic value of that mat correlation is established between the experimental outcome and the theoretical analysis of the ductility variation in a tensile test of standard specimen of Mild Steel. For the hyperboloid distribution pattern of ductility from near zero to full gage length the numerical values can be assigned to the elongation and reduction in area. The hyperboloid nature varies for different materials and can be assigned as a characteristic value of that material under tensile test.
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