Experimental Investigation and Parametric Studies of Surface Roughness Analysis in CNC Turning

Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2014, Vol 4, Issue 10

Abstract

The modern machining industries are focused on achieving high quality, in terms of part/component accuracy, surface finish, high production rate and increase in product life. Surface roughness of machined components has received serious attention of researchers for many years. It has been an important design feature and quality measure in machining process. There are a large number of parameters which affect the surface roughness. The typical controllable parameters for the CNC machines include cutting tool variables, work piece material variables, cutting conditions etc. The desired output is surface roughness, material removal rate, tool wear, etc. Optimization of machining parameters needs to determine the most significant parameter for required output. Many techniques are used for optimization of machining parameters including Taguchi, RSM and ANOVA approach to determine most significant parameter. The present work is therefore in a direction to integrate effect of various parameters which affect the surface roughness. This paper investigates the parameters affecting the surface roughness and / or material removal rate with CNC turning process studied by researchers. It also discusses some other parameters such as cutting force and power consumption in different conditions.

Authors and Affiliations

Ranganath. M. S , Vipin , Prateek , Nikhil , Rahul , Nikhil Gaur

Keywords

Related Articles

 Visual Quality for both Images and Display of Systems by Visual Enhancement under Low-Backlight

 Visual enhancement techniques provide different approaches for improving visual quality of displays under Low backlight conditions for saving the battery. The existing techniques provide the visual quality may be...

 Simulation of a Two Stage High Power Factor Driver for White Power Led

 In this paper, an integrated double buck–boost (IDBB) converter is proposed as a high-power-factor offline power supply for power-LED lamps. The IDBB converter features just one controlled switch and two inductors...

 Optimum Relay Selection for Energy-Efficient Cooperative Ad Hoc Networks

 Abstract: The Cooperative Communication (CC) is a technology that allows multiple nodes to simultaneously transmit the same data. It can save power and extend transmission coverage. However, prior research work on...

 An efficient model for design of 64-bit High Speed Parallel Prefix VLSI adder

 To make addition operations more efficient parallel prefix addition is a better method. In this paper 64-bit parallel prefix addition has been implemented with the help of cells like black cell and grey cell oper...

Palmprint Identification Based on Principle Line Using Machine Learning Techniques

In this paper, we propose principle line based Palmprint Identification method. In this method to detect principle lines of palm print is with consecutive filtering operations. Smoothing operation is used to remove i...

Download PDF file
  • EP ID EP94606
  • DOI -
  • Views 100
  • Downloads 0

How To Cite

Ranganath. M. S, Vipin, Prateek, Nikhil, Rahul, Nikhil Gaur (2014). Experimental Investigation and Parametric Studies of Surface Roughness Analysis in CNC Turning. International Journal of Modern Engineering Research (IJMER), 4(10), 49-58. https://europub.co.uk/articles/-A-94606