International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 3 | Mar -2017
p-ISSN: 2395-0072
www.irjet.net
ENHANCING THE SUBMERSIBLE PUMP ROTOR PERFORMANCE BY TAGUCHI OPTIMIZATION TECHNIQUE FOR TURNING CUTTING PARAMETERS S. Om Prakash1, S. Pathmasharma2 1Assistant
Professor (Senior Grade), Department Mechanical Engineering, United Institute of Technology, Tamil Nadu, India 2Assistant Professor, Department of Mechanical Engineering, United Institute of Technology, Tamil Nadu, India ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - Due to their low hysteresis losses silicon steel is
resistance while still allowing for its machinability into tools and drill bits.
one of the most suitable materials for rotors. Silicon stamping stacked together by pressure die casting process to form a rotor. However, their uneven surface roughness creates excessive static friction between rotor and stator. As the friction increases the pump does not rotate which leads to the pump failure. This necessitates a process optimization when machining silicon steel stampings with HSS tool. This project outlines an experimental study to achieve this by employing Taguchi techniques. Combined effects of three cutting parameters, namely cutting speed, feed rate and depth of cut on performance measure surface roughness (Ra), were investigated by employing an orthogonal array, signal-tonoise ratio, and analysis of variance.
Surface finish is an important parameter in manufacturing engineering. It is a characteristic that could influence the performance of mechanical parts and production costs [3]. 2. TAGUCHI METHOD Taguchi techniques have been used widely in engineering design [4]. The main trust of the parameter design consist a plan of experiments with the objective of acquiring data in a controlled way, executing these experiments and analysing data, in order to obtain information about the behaviour of the given process. The treatment of the experimental results is based on the analysis of variance (ANOVA).
Key Words: Surface Roughness (Ra); orthogonal arrays; Analysis of variance (ANOVA)
The use of the parameter design of the Taguchi method to optimize a process with multiple performance characteristics includes the following steps [6]
1. INTRODUCTION
Identify the performance characteristics and select process parameter to be evaluated. Determine the number of levels for the process parameter and possible interactions between the process parameters.
Surface roughness is an important measure of the technological quality of a product and a factor that greatly influences manufacturing cost. The mechanism behind the formation of surface roughness is very dynamic, complicated, and process dependent; it is very difficult to calculate its value through theoretical analysis. Therefore, machine operators usually use “trial and error” approaches to set-up turning machine cutting conditions in order to achieve the desired surface roughness. Obviously, the “trial and error” method is not effective and efficient and the achievement of a desirable value is a repetitive and empirical process that can be very time consuming. The dynamic nature and widespread usage of turning operations in practice have raised a need for seeking a systematic approach that can help to set-up turning operations in a timely manner and also to help achieve the desired surface roughness quality. [1]
3. EXPERIMENTAL PROCEDURE
Developments in cutting tools and machine tools in the last few decades have made it possible to cut materials in their hardened state [2]. High speed steel is considered to be one of the most suitable tool materials for machining stampings because of their high density. This high density affords it incredible durability and hardness and shock and vibration
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Select the appropriate orthogonal array and assignment of process parameters Conduct the experiments based on the arrangement of the orthogonal array. Calculate S/N ratio. Analyze the experimental results using the S/N ratio and ANOVA. Select the optimal levels of process parameters. Verify the optimal process parameters through the conformation test.
3.1. EQUIPMENT AND MATERIALS The goal of this experimental work was to improve the performance of the rotor by investigate the effects of cutting parameters on surface roughness. In order for this,
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