International Journal of Engineering Research

S. Gajanana ¹, B. Sureshkumar Reddy ¹, A. Krishnaiah ²

Affiliations
1 Department of Mechanical Engineering, MVSR Engineering College, Nadergul, Hyderabad, IN
2 Department of Mechanical Enigneering, CoE, Osmania University, Hyderabad, IN

Abstract

Usage of non-ferrous materials is increasing day-by-day due to its wide variety of applications in many areas because of their properties, availability etc. Hence the study and development of these materials in many aspects is increasing. Of all the non-ferrous metals, Aluminium is one of the most widely used metal. This paper focuses on casting of Al6061 alloy by varying the composition of its alloying elements and also to study the machinability properties of Al 6061 by conducting set of experiments on Al-6061 alloy under vertical milling machine using HSS end mill cutter and finding out the output responses, Metal removal rate, Surface finish, and Cutting forces by varying process parameters speed, feed and depth of cut. Response Surface Methodology (RSM) and Full Factorial Design of Experiments were used to develop the regression equation between input parameters and output responses. Contribution of each factor (Speed, Feed and Depth of Cut) on output parameters (Metal removal rate, Surface finish, and Cutting Force) was determined using ANOVA.

Keywords

End Milling, Al6061, Machinability, RSM, Full Factorial Design, ANOVA.

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A. Chandrakanth ¹, S. Gajanana ¹, B. Suresh Kumar Reddy ¹

Affiliations
1 Mechanical Engineering Department, M.V.S.R. Engineering College, Hyderabad, IN

Abstract

In production systems there are situations in which it is not possible to have a single rate of production throughout the production period and the same cost for each individual unit over the decades. Items are produced at different rates and at different sub-periods so as to meet the requirement. The costs incurred changes as the time progresses due to inflation. The price may vary for each unit depending not only on inflation but also various factors as demand, availability, working unit, setup place etc. This paper models a situation by assuming constant rate of demand, varying rates of production and a constant inflation rate. Special cases are also discussed and a case study is done.

Keywords

EOQ, Inflation.

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E. Hazya ¹, S. Gajanana ¹, M. Mallareddy ¹, V. Raviteja ¹

Affiliations
1 Mechanical Engineering Department, M.V.S.R. Engineering College, Nadergul, Hyderabad, Telangana, IN

Abstract

Liquid hammer is a pressure surge or wave caused when a fluid (usually a liquid but sometimes also a gas) in motion is forced to stop or change direction suddenly which also involves a momentum change. This process generates shock waves which reach the sheet metal kept at a lower part of the cylinder and deform it to the shape of the die placed below the sheet metal.The process variables that were considered which affect deformation are the thickness of the specimen, height of drop hammer, number of blows and weight of the drop hammer.In this work Response Surface Methodology(RSM) is used as a tool for optimization of process parameters using Design Expert Software.Further force and strain analysis are performed for the deformed specimens.

Keywords

Liquid Hammer, Response Surface Methodology (RSM), Designexpert, ANOVA, Optimization, Finite Element Analysis (FEA).

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A. Chandrakanth ¹, S. Gajanana ¹, B. Kshetramohan ¹

Affiliations
1 Department of Mechanical Engineering, MVSR Engineering College, Nadergul, Hyderabad-501510, IN

Abstract

Wire-EDM as a precision cutting technology is possible to fabricate product of all ranges. In Wire EDM, the conductive materials are machined with a series of electrical discharges (sparks) that are produced between an accurately positioned moving wire (the electrode) and the work piece. High frequency pulses of alternating or direct current is discharged from the wire to the work piece with a very small spark gap through insulated dielectric fluid (water). In this current work Pulse on time, Wire tension and Spark gap voltage are the three parameters taken for optimization of MRR. The work piece is HSS M42 Grade and the work tool is brass wire of 0.25 mm dia. The Experiment was conducted in 8 runs using full factorial design and most significant factors are determined using ANOVA. Optimum values of parameters are obtained by using MatLab program (Genetic algorithm). Response surface methodology is also adopted to verify the accuracy of obtained mathematical model.

Keywords

Metal Removal Rate (MRR), High Speed Steel(HSS), Design of Experiments(DOE), Analysis of Variance (ANNOVA).

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J. Sita Priya Darsini ¹, S. Gajanana ¹, G. Venkata Subbaiah ¹, K. Vikram Aditya ²

Affiliations
1 Mechanical Engineering Department, M.V.S.R. Engineering. College, Nadergul, Hyderabad-501510, Telangana State, IN
2 Mechanical Engineering Department, G Pulla Reddy Engineering College,Kurnool–518 007, AP State, IN

Abstract

Film cooling is vital to gas Turbine blades so as to protect them from the high temperatures and thermal stresses caused due to the flow of hot combustion gases on the surface of the blade. This study focuses on the efficient computation of film-cooling flows. Initially Computational analysis was done on a flat Plate with holes inclined at 35° to the surface plate. The results obtained were verified and compared to previous experimental measurements. Further, Film cooling effectiveness of a gas turbine blade was studied by using a row of inclined holes at 30° to the surface of the blade. The density ratio of the Coolant (i.e. air) to mainstream was varied from 1.2 to 2.0 while the velocity ratio was varied from 0.208 to 0.83. The surface temperature of the blade was measured with the help of Ansys CFX 14.5 where temperatures were obtained along the jet centreline and across other locations of the blade. A point along the centreline has been taken where the jet remains attached to the surface of the blade and temperatures were recorded while varying the density&velocity ratios. The results obtained were modelled and Regression Analysis was performed to find the contribution of the above parameters on the effectiveness of film cooling. An equation has been derived and decoded to find the optimum value of blowing Ratio for maximum effectiveness at the selected point on the surface of the blade.

Keywords

Turbine Blade, Density Ratio, Velocity Ratio, Blowing Ratio and Film Cooling Effectiveness.

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S. Gajanana ¹, B. Suresh Kumar Reddy ¹, T. Shivendra Lohit ¹, K. Anil Kumar Reddy ¹, Ankur Jain ¹

Affiliations
1 Mechanical Engineering Department, M.V.S.R. Engineering College, Nadergul, Hyderabad-501510, Telangana State, IN

Abstract

The current work focuses on study of input parameters of induction hardening process of micro-alloyed steel roller shaft of an Undercarriage. Regression relation is generated for hardness using Response Surface Methodology (RSM) by using Design Expert Software as a tool for optimization. Further, the micro structure of selected shafts was analyzed.

Keywords

Induction Hardening, Response Surface Methodology (RSM), Design Expert, Central Composite Design.

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S. Gajanana ¹, Kulkarni Rahul ¹, Shreyas Gampa ¹, Tharun Vempati ¹, J. V. Srinath ¹

Affiliations
1 Mechanical Engineering Department, M.V.S.R. Engineering College, Nadergul, Hyderabad-501510, Telangana, IN

Abstract

Manufacturing or production is one of the most important sectors of any field. It involves various steps or processes to convert raw materials into finished products. With the more precise demands of modern engineering products and competition to provide good quality, the surface finish, dimensional accuracy along with metal removal rate (MRR) plays a very important role. The selection of optimum cutting conditions (depth of cut, feed and speed) is an important element of process planning for every machining operation. In order to optimize the output parameters i.e., MRR, power consumption and surface roughness, the process variables are varied. Inspite of major advancements in metal cutting practices, the metal cutting industries continues to suffer from major drawback of not running the machine tools at their optimum operating condition. Furthermore, their prediction helps in the analysis of optimization problems in machining economics, in adaptive control applications, in the formulation of simulation models used in cutting databases. In the present work full factorial design of experiments (DOE) technique is used in order to find the effect of input parameters on MRR and surface roughness for Micro Alloyed Steel Roller Shaft work material of an under carriage at Berco Undercarriages India Pvt Ltd. Contribution of each factor on output is determined by Analysis of Variance (ANOVA) and using MAT LAB software the optimum values of process parameters for MRR and surface roughness are generated.

Keywords

DOE, ANOVA, Factors, MRR, Surface Roughness.

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B. Srinivas ¹, S. Gajanana ², K. Hemachandra Reddy ³, B. Ravi Kumar ²

Affiliations
1 JDA Software India Ltd., Madhapur, Hyderabad-500032, AP State, IN
2 Mechanical Engineering Department, M.V.S.R. Engineering College, Nadergul, Hyderabad-501510, AP State, IN
3 JNTUA, Anantapur, AP State, IN

Abstract

The present work is a contribution of mathematical and operations research models that help in arriving at the best replacement strategies to determine an age of motor vehicle at which the replacement is most economical. Parameters like depreciation, money value, forecasted inflation, nominal interest rate and real interest rate are taken into consideration in model development and for various situations, the replacement period to motor vehicle is suggested.

Keywords

Replacement, Inflation, Forecasting, Interest Rates, and Money Value.

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