Interelation and Optimization of Surface Roughness and Frequency of En24 Steel Turning

En24 Steel Turning

International Journal of Research and Scientific Innovation (IJRSI) | Volume IV, Issue X, October 2017 | ISSN 2321–2705 

Interelation and Optimization of Surface Roughness and Frequency of En24 Steel Turning

Avijit Pramanik
Department of Mechanical Engineering, National Institute of Technical Teachers Training and Research, Kolkata, 700106, West Bengal, India

Abstract: – The success of the manufacturing process depends on upon the selection of appropriate process parameters. The selection of optimum process parameters plays a significant role to product quality, cost and productivity. This study investigated the multi – response optimization of the turning process for an optimal parametric combination to yield the minimum tool vibration frequency, surface roughness and maximization of metal removal rate using Genetic Algorithm (GA). A mathematical model of tool vibration frequency has been built up and modal analysis of the tool holder in ANSYS gives resonance frequency and it is used as a n useful for understanding the dynamic performance of any lathe –work piece system. The experiment s were designed and conducted on the lathe machine with high speed steel (AISI T42) as cutting tool and EN-24 Steel bar as work piece material The factors are chosen which influence the tool vibration, surface roughness and MRR of product in turning through design of experiment (DOE). Experimental results show that the tool vibration frequency and surface roughness of the work materials are co related with each other and influence of cutting parameters on frequency and surface roughness.

Keywords: (HSM) High Speed Machining, (GA) Genetic Algorithm, (DOE) Design of experiment, Vibration Amplitude, Surface Roughness, ANOVA (Analysis of Variance).

I. INTRODUCTION

Machining is a process in which a piece of raw material is converted into a desired final shape and size by controlled material –removal process. Many processes that have this common theme of controlled material removal are today collectively known as subtractive manufacturing. Now a day‟s most of the industries are sued CNC machining which changes the scenario of machining. According to the International Institution of Production Research, machining accounts for approximately half of all manufacturing techniques, which is a reflection of the achieved accuracy, productivity, reliability and energy consumption of this technique. The advances in computational modeling, sensors, diagnostic equipment and analysis tools, surface metrology and manufacturing science particularly during the past decade have enabled academia and engineers to research machining dynamics from a new dimension and therefore to have the potential for great industrial benefits. Increasing demands on manufacturing precision products require the development of precision machines for engaging high value manufacturing. When designing precision machines, it is essential to consider the mechanical structures, control system dynamics, and machining process dynamics simultaneously.

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