Analysis of surface roughness and material removal rate in machining of AISI 1040 steel using CNC turning process
Journal Title: International Journal of Innovation in Engineering (IJIE) - Year 2021, Vol 1, Issue 3
Abstract
The present study investigates the effect of turning process parameters on the surface roughness and metal removal rate (MRR) of the AISI 1040 steel. Twenty-seven ( L27) runs based on an orthogonal array of Taguchi techniques were performed and the grey relational analysis method was later applied to determine a most favourable turning parameters setting. Apart from this, the analysis of variance (ANOVA) was conducted to statically identify the effect of the most significant parameters. Cutting speed, feed, depth of cut, and nose radius were carefully selected as input parameters, while surface roughness and material removal rate (MRR) was output respectively. Various plots and curves have been drawn to identify the effect of various parameters on surface roughness, material removal rate, and grey relational grade. From the result, it was observed that the Taguchi-based grey relational analysis approach can be effectively used as a structured method to optimize the parameters. The results of the range analysis show that the cutting speed has the most significant effect, followed by the feed rate and depth of cut.
Authors and Affiliations
Saadat Ali Rizvi,Wajahat Ali,
Keywords
Related Articles
- EP ID EP711484
- DOI -
- Views 79
- Downloads 0
Prediction of Weld Strength in Power Ultrasonic Spot Welding Process Using Artificial Neural Network (ANN) and Back Propagation Method
In this presented work, the employment of artificial neural network (ANN) connected with back propagation method was performed to predict the strength of joining materials that carried out by using ultrasonic spot weldin...
Forecasting Startup Return using Artificial Intelligence Methods and Econometric Models and Portfolio Optimization Using VaR and C-VaR
In this paper, we have tried to study the main role of startups in economy, their characteristics, main goals and etc. The main goal of article is prediction of startup's return using artificial intelligence methods such...
Absorption in the wavemaker by Artificial neural networks (ANNs)
Wave-making theories are becoming available, but their applicability is limited to specific ranges of waves and wavemaker types. Machine learning can also be used to discover nonlinear functional relationships. As a resu...
Logistics Network Design Considering the Location of Logistics Hubs: A Case Study of Western Iran
Today, logistics is recognized as one of the most important factors in the development of countries. One of the characteristics of an efficient logistics structure is the design of a suitable logistics network with the r...
An IoT-based sustainable supply chain framework and blockchain
The increasing expansion of the needs of human beings and societies has caused various aspects of human life and societies to face serious challenges and be considered. Supply chain organizations operate in a market in t...