Optimization of Dimensional accuracy in plasma arc cutting process employing parametric modelling approach

7th National Conference on Processing and Characterization of Materials

Naik, Deepak Kumar^1 ; Maity, K.P.^1

Department of Mechanical Engineering, National Institute of Technology Rourkela, Odisha, India^1

关键词: 304L stainless steel;    Dimensional accuracy;    High-strength materials;    Manufacturing industries;    Manufacturing process;    Orthogonal array designs;    Process parameter values;    Stand-off distance (SoD);   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/338/1/012039/pdf
DOI  :  10.1088/1757-899X/338/1/012039

来源: IOP

【 摘 要 】

Plasma arc cutting (PAC) is a high temperature thermal cutting process employed for the cutting of extensively high strength material which are difficult to cut through any other manufacturing process. This process involves high energized plasma arc to cut any conducting material with better dimensional accuracy in lesser time. This research work presents the effect of process parameter on to the dimensional accuracy of PAC process. The input process parameters were selected as arc voltage, standoff distance and cutting speed. A rectangular plate of 304L stainless steel of 10 mm thickness was taken for the experiment as a workpiece. Stainless steel is very extensively used material in manufacturing industries. Linear dimension were measured following Taguchi's L16 orthogonal array design approach. Three levels were selected to conduct the experiment for each of the process parameter. In all experiments, clockwise cut direction was followed. The result obtained thorough measurement is further analyzed. Analysis of variance (ANOVA) and Analysis of means (ANOM) were performed to evaluate the effect of each process parameter. ANOVA analysis reveals the effect of input process parameter upon leaner dimension in X axis. The results of the work shows that the optimal setting of process parameter values for the leaner dimension on the X axis. The result of the investigations clearly show that the specific range of input process parameter achieved the improved machinability.