Optimization Analysis of H-13 Alloy using EDM by Taguchi Method

Volume 9 Issue 3 May - July 2019

Research Paper

Optimization Analysis of H-13 Alloy using EDM by Taguchi Method

Hareendranath Mada*, R. J. V. Anil Kumar**

*_** Department of Mechanical Engineering, Jawaharlal Nehru Technological University, Anantapuramu, Andhra Pradesh, India.

Mada, H., and Kumar, R. J. V. A. (2019). Optimization Analysis of H-13 Alloy using EDM by Taguchi Method. i-manager’s Journal on Mechanical Engineering, 9(3), 42-49. https://doi.org/10.26634/jme.9.3.16037

Abstract

The non-conventional machining methods are used for machining very hard materials and to prepare difficult shapes. Electrical discharge machining (EDM) is the most commonly used non-conventional machining processes for machining hard and brittle materials with good accuracy. Tool steel is an alloy of steel which is used for applications like die preparation, tool preparation etc. In this work, H-13 alloy of tool steel is selected for machining to find out Surface Roughness and Material Removal Rate (MRR) through EDM. It is also proposed to optimize EDM process parameters. The process parameters for optimisation are pulse on time, pulse off time, current, material removal rate and surface roughness. To optimize the process parameters Taguchi L9 Orthogonal array were used.

Design and Analysis of First Stage Rocket Engine using Butane and Liquid Oxygen

Volume 9 Issue 3 May - July 2019

Research Paper

Design and Analysis of First Stage Rocket Engine using Butane and Liquid Oxygen

0*

Department of Mechanical Engineering, Institute of Engineering and Management, Kolkata, West Bengal, India.

Majumder, S. D. (2019). Design and Analysis of First Stage Rocket Engine using Butane and Liquid Oxygen. i-manager’s Journal on Mechanical Engineering, 9(3), 32-41. https://doi.org/10.26634/jme.9.3.15806

Abstract

The manuscript demonstrates the designing of a first stage rocket engine using butane as a fuel and liquid oxygen as the oxidizer combination for yielding higher values of heat of combustion, Mach number, specific Impulse and the exit velocity through the nozzle. The purpose of this research is to provide a fuel oxidizer combination whose heat of combustion would be much higher. With a higher calorific value of butane, it needs very little oxidizer to burn resulting in reducing the weight of the rocket. Chemical Experimental Analysis has shown that the calorific value of butane and liquid oxygen together will yield much higher values in comparison to that of the present combination of fuel and oxidizers. The research paper analyses the design calculations of the space shuttle engine; Solid Works Design of complete Rocket Engine; comparative study of the model rocket with the Orion test rocket; CFD analysis of Rocket Engine.

Investigation of Surface Roughness on Hybrid Composites using Stir Casting Technique

Volume 9 Issue 3 May - July 2019

Research Paper

Investigation of Surface Roughness on Hybrid Composites using Stir Casting Technique

P. Saritha*, A. Satyadevi**, P. Ravikanth Raju***

*_** Department of Mechanical Engineering, GITAM University, Hyderabad, Telangana, India.

*** Department of Mechanical Engineering, Anurag Group of Institutions, Hyderabad, Telangana, India.

Saritha, P., Satyadevi, G., and Raju, P. R. (2019). Investigation of Surface Roughness on Hybrid Composites using Stir Casting Technique. i-manager’s Journal on Mechanical Engineering, 9(3), 26-31. https://doi.org/10.26634/jme.9.3.15891

Abstract

This paper brings out the results of hybrid composites produced by stir casting process. The material which is stir casted are processed by facing and turning operation using CNC machine in which turning, facing, step turning and milling operation are carried without changing the tools and workpiece in one setup. The metal removal takes place by varying speed and feed of the machine on work pieces. For modeling and enhancing performance of manufacturing technologies numerical methods are used. Optimum machining parameters plays a significant role in deciding the economy of work piece. The present work is aimed to find the optimal process parameters of hybrid composites during turning procedure. As it has wide applications in space and bearings this composites has been taken as work materials. To know the ideal process parameters, intellectual assessment tools are applied. In this work the Surface Roughness (Ra)  of the three sample work pieces of hybrid composites were prepared by keeping 3% molybdenum disulphide constant and 5%, 10%, 15% varying silicon carbide reinforced with Al7075. The experiment have been planned according to Taguchi's L9 (3)3 .

A Study on Tribological Behaviour of Nanocoated Piston Ring

Volume 9 Issue 3 May - July 2019

Research Paper

A Study on Tribological Behaviour of Nanocoated Piston Ring

Ravindra M. Kanase*

Department of Automobile Engineering, Padmashri Dr. VitthalraoVikhe Patil, Institute of Technology & Engineering(Polytechnic) Pravaranagar, Loni, Ahmednagar, Maharashtra, India.

Kanase, R. M. (2019). A Study on Tribological Behaviour of Nanocoated Piston Ring. i-manager’s Journal on Mechanical Engineering, 9(3), 19-25. https://doi.org/10.26634/jme.9.3.15913

Abstract

The nanopartical material coating can help to improve performance and life of Internal combution automobile engines by reducing the frictional wear and friction between IC engine components. In this research study tribological properties of titanium dioxide (TiO2) nanocoatings for piston ring application are investigated. Nanocoating Samples were prepared by sol-gel process of varying dipping and drying process cycles (40, 50, 60 and 70).In this reaserch studyof frictional wear have carried out on Pin on Disc Tribometer and the tests were taken in varying load and speed. The obtained results shows that TiO2 Nanocoating exhibits good friction reduction and anti-wear properties andalso decreased the coefficient of friction by 4% and 8% at 60 and 70 dipping-drying process cycles respectively, as compared with conventional chromium platting.Also the micrographs of worn surfaces analyzed by using Scanning Electron Microscopy (SEM). 

Experimental Investigation and Optimization of Machining Parameters in Milling of Al6351 Using Hybrid – Artificial Bee Colony Algorithm

Volume 9 Issue 3 May - July 2019

Research Paper

Experimental Investigation and Optimization of Machining Parameters in Milling of Al6351 Using Hybrid – Artificial Bee Colony Algorithm

P. Hema*, G. Padmanabhan**, T. Eswar***

*_*** Department of Mechanical Engineering, S. V. University college of Engineering, Tirupati, Andhra Pradesh, India.

Hema, P., Padmanabhan, G., and Eswar, T. (2019). Experimental Investigation and Optimization of Machining Parameters in Milling of Al6351 Using Hybrid – Artificial Bee Colony Algorithm. i-manager’s Journal on Mechanical Engineering, 9(3),9-18. https://doi.org/10.26634/jme.9.3.16059

Abstract

Simplifying any process of machining is a profoundly difficult, since it basically includes forecasts of ideal cutting parameters and working requirements that are unpredictable and extremely non-linear in nature which influence the overall production costs and workpiece quality. One of the Nature Inspired Algorithms (NIA) is Artificial Bee Colony (ABC) algorithm for process optimization that imitates honey bees intelligent foraging behavior. This paper describes an experimental study of cutting parameters optimization like Cutting Speed, Feed rate, Aluminum Alloy 6351 response depth cut by using Swarm-based optimization. Based on Taguchi design of experiments L18 orthogonal array is selected with three levels of input parameters at various machining conditions. The experiments are performed and predicted the responses like Surface Roughness, Material Removal Rate, Resultant Forces and Temperature. A recent evolutionary heuristic swarm intelligence algorithm called the Hybrid Artificial Bee Colony (HABC) is used to optimize conventional milling processes. This algorithm is used to minimize responses by estimating the optimum parameters of the process. Comparison of the results with the Harmony Search Algorithm (HSA), Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) are done to examine the performances of various methods. The results suggest that the HABC algorithm outperforms the solution's HSA, PSO and GA quality. Additionally, Multi-Objective Optimization is performed and a combined normalized objective function (Z) is formulated by considering equal weightages to all the objectives. The optimized values of milling parameters are obtained through the HABC algorithm. Confirmatory experiments reveal that the experimental values are moderately close with optimized values.

Thermoeconomic Analysis of a Single Effect Mechanical Vapor Compression Desalination Unit

Volume 9 Issue 3 May - July 2019

Research Paper

Thermoeconomic Analysis of a Single Effect Mechanical Vapor Compression Desalination Unit

Giuma Fellah*

Department of Mechanical and Industrial Engineering, University of Tripoli, Libya.

Fellah, G. (2019). Thermoeconomic Analysis of a Single Effect Mechanical Vapor Compression Desalination Unit. i-manager’s Journal on Mechanical Engineering, 9(3),1-8. https://doi.org/10.26634/jme.9.3.15797

Abstract

In this work, the thermoeconomic analysis is performed to assess the performance of a single effect-mechanical vapor compression desalination unit. Thermoeconomic equations based on Specific Exergy Costing (SPECO) method are developed for the analysis. The results show that the unit cost of the product distillate water is 2.59 $/m3 which is in a good agreement with that given in the literature. The effect of the escalation factor of the chemicals' cost on the product unit cost of the fresh water is investigated. The unit price of the product jumps to 3.56$/m3 at escalation factor of 7%. The influence of the compressor efficiency on the specific energy consumption and effectiveness is also investigated. The results show that there is an optimum compressor efficiency at which the product unit price is a minimum.

Flow Behavior on Elbow with Various Geometries of Nozzle

Volume 9 Issue 2 February - April 2019

Research Paper

Flow Behavior on Elbow with Various Geometries of Nozzle

G. Satish*, M. Akhil Yuvaraj**

* Associate Professor, Department of Mechanical Engineering, Pragati Engineering College, Andhra Pradesh, India.

** UG Scholar, Department of Mechanical Engineering, Pragati Engineering College, Andhra Pradesh, India.

Satish, G., and Yuvaraj, M. A. (2019).Flow Behavior on Elbow with Various Geometries of Nozzle. i-manager’s Journal on Mechanical Engineering, 9(2), 43-51. https://doi.org/10.26634/jme.9.2.15851

Abstract

Elbow is one of the most common components in the pipe line system, where pressure difference occurs as a fluid flow.Due to the pressure difference, centrifugal force is developed. For this reason, the behaviour of the fluid flow in a 90° elbow for different geometries of nozzle have been studied using the FLUENT software. Ten different models were investigated based on the K-ɛ model of the energy equation. The analysis was simulated in terms of the velocity and pressure contours and comparison is done. The analysis has been done for 10 different models with changing the angle of convergence from 0° to 90° and found that the velocity gradients are increasing and pressure gradients are decreasing in an ascending order of the angles of convergence for nozzle geometry. The software values are compared to the regression values and found to yield good agreement with the simulated values.