Please use this identifier to cite or link to this item:
http://hdl.handle.net/2080/2694
Title: | An Optimization and Experimental Analysis of Plasma Arc Cutting Of Hardox-400 Using Taguchi Based Desirability Analysis |
Authors: | Naik, Deepak Kumar Maity, K P |
Keywords: | Plasma Arc Cutting (PAC) Hardox-400 |
Issue Date: | Mar-2017 |
Citation: | International Conference on Materials, Manufacturing and Modelling(ICMMM),VIT University, Vellore, India, 9-11 March 2017 |
Abstract: | The plasma cutting process is widely used in manufacturing or fabrication units for cutting the metal plates. The optimum selection of process parameters is essential for smoother and faster cutting. In this research work, experimental investigation of plasma arc cutting has been carried out. The workpiece material was taken as Hardox 400 which is very high resistance steel. This material has good bendability, high toughness and better weldability. Hardox 400 variously used in manufacturing of Dump truck, Front loaders, Barges and Buckets. Argon is used as the inert gas and oxygen gas was taken for shielding. During the cutting process, the parameters for the operation are varied cutting current, supply gas pressure, cutting speed and Standoff distance. The material removal rate, surface roughness chamfer and kerf are considered as the output responses. The individual effect of cutting parameters related to the output responses also described. Taguchi based desirability analysis (TDA) was observed to find the optimal cutting conditions for improving the quality characteristics of the plasma arc cutting process. The goal of the experiment was to maximize the MRR and minimize the other output responses. The confirmation test was obtained according to the optimal setting of process parameter in achieving the improved efficiency of plasma arc cutting machine. The result of this analysis will offer a better database for the industries. The outcomes of the investigations clearly show that the specific range of input process parameter achieved the improved machinability. |
URI: | http://hdl.handle.net/2080/2694 |
Appears in Collections: | Conference Papers |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
2017_ICMMM_DKNaik_Optimization.pdf | Presentation | 1.08 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.