Optimization of Dry Turning Process Parameters using Taguchi and ANOVA Technique for MRR of EN8 Steel
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 5
Abstract
Turning operation is a material removal process generally used to remove the material from the surfaces to achieve the desired dimension of the product. An L9 orthogonal array, S/N ratio and ANOVA are employed for analysis the MRR characteristic for turning operations. In the present study, Taguchi method or Design of experiments has been used to optimize the effect of turning parameters such as cutting speed (m/min), feed (mm/rev) and depth of cut (mm) on the Material Removal Rate of EN8 steel. Material removal rate measurements were carried out during the machining process on the work piece. EN8 is generally known medium strength steel has good tensile strength and consists of higher machinability. It has several industrial applications in manufacturing of shafts, stressed pins, studs, keys etc. The results indicated that feed rate and depth of cut and cutting speed were the significant factors for the material removal rate. The optimized parameters for material removal rate are cutting speed 200 m/min, feed 25 mm/rev. and depth of cut 14 mm.
Authors and Affiliations
Devendra Singh Chauhan, A. S Verma, Avdesh Dixit
Keywords
Related Articles
- EP ID EP24353
- DOI -
- Views 268
- Downloads 8
Concept of Subnets in Computer Networking
An organization can subdivide its host address space into groups called subnets. The subnet ID is generally used to group hosts based on the physical network topology. Subnets can simplify routing. IP subnet broadcasts...
Boiler Cleanliness Factor Control Using Fuzzy Logic
Power generation today is an increasingly demanding task, worldwide, because of emphasis on efficient ways of generation. A power station is a complicated multivariable controlled plant, which consists of boiler, turbin...
slugDocument Deliver Using Clustering Techniques and Finding Best Cluster
Clustering is an important tool in data mining and knowledge discovery. This enables the users to comprehend a large amount of data. We d evelop DSSC (Document Similarity soft clustering), a soft - clu...
Understanding the Convolutional Neural Network & it’s Research Aspects in Deep Learning
Convolutional Neural Network (CNN) is the most important Deep Neural Network (DNN) architecture to implement the Deep Learning’s application of data and pattern representation in an effective and efficient manner. It us...
Perceptual Colour Image Compression
Perceptual coding technique discriminate the signal components which are detected and not detected by the human eye. There are a number of well accepted perceptual factors which influence the visibility of distortions i...