Temperature analysis by moving heat source during plasma arc cutting process: an analytical approach

2019 ◽  
Vol 16 (4) ◽  
pp. 569-572 ◽  
Author(s):  
Deepak Kumar Naik ◽  
Kalipada Maity
Keyword(s):  
Heat Source ◽  
Cutting Speed ◽  
Cutting Process ◽  
Calculation Error ◽  
Moving Heat Source ◽  
Plasma Arc ◽  
Molten Layer ◽  
Melting Front ◽  
Content Type ◽  
Plasma Arc Cutting

Purpose This paper aims to work exhibits the temperature distribution over the surface of the workpiece during plasma arc cutting process. Design/methodology/approach The moving heat source is taken into consideration for calculating the heat created by plasma arc. The heat is generated at the plasma – liquid metal boundary. The heat of fusion is also considered for estimation because of molten layer separates the plasma and solid layer. This causes to hamper the heat transfer towards the melting front. Eliminating the heat resistance may calculation error at high cutting speed. Power required to melt the material depends on the speed of the cut. Findings Higher cutting speed increases the power required. The temperature drop over the layer of molten front increases as the speed of cut increases at higher Peclet number. Different thickness of the molten layer was taken for calculation i.e. zero thickness, 10 and 20 per cent. Originality/value The estimated results are shown in non-dimensional form. So, the method can be applied for any other types of material.

Application of desirability function based response surface methodology (DRSM) for investigating the plasma arc cutting process of sailhard steel

2018 ◽  
Vol 15 (4) ◽  
pp. 505-512 ◽  
Author(s):  
Deepak Kumar Naik ◽  
Kalipada Maity
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Desirability Function ◽  
Cutting Process ◽  
Plasma Arc ◽  
Content Type ◽  
Plasma Arc Cutting ◽  
Machining Parameter ◽  
Desirability Index ◽  
Selection Of

Purpose Plasma arc cutting (PAC) is extensively applicable for cutting the materials in faster speed with better accuracy in different manufacturing industries. The cutting of sailhard steel plate plays a great challenge in plasma arc cutting process. Design/methodology/approach In this investigation, a special abrasion-resistant steel known as sailhard of 20 mm thickness plate has been cut by PAC machine. Cutting current, stand-off distance, cutting speed and gas pressure were selected as cutting parameters. The corresponding responses focused for this study are material removal rate, kerf and chamfer. L30 orthogonal array based on a central composite design (CCD) of response surface methodology (RSM) was used to design the run of the experiment. For predicting and modeling of optimal cutting conditions, a hybrid approach of desirability function-based response surface methodology (DRSM) was acquainted. Findings The result of this study determines that desirability index (DI) was affected significantly with the machining parameter as well as their interaction. A confirmation test was carried out to analyze the degree of effectiveness of DRSM technique. Originality/value In PAC, the selection of process parameters and effect of that parameter on the output responses is of greater value because of the selection of best cutting condition.

scholarly journals Effect of Process Parameters on the Surface Roughness and Kerf Width of Mild Steel during Plasma Arc Cutting Using Response Surface Methodology

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Ekhaesomi A Agbonoga ◽  
Oyewole Adedipe ◽  
Uzoma G Okoro ◽  
Fidelis J Usman ◽  
Kafayat T Obanimomo ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Analysis Of Variance ◽  
Process Parameters ◽  
Cutting Speed ◽  
Gas Pressure ◽  
Kerf Width ◽  
Plasma Arc ◽  
Plasma Arc Cutting

This study investigated the effects of process parameters of plasma arc cutting (PAC) of low carbon steel material using analysis of variance. Three process parameters, cutting speed, cutting current and gas pressure were considered and experiments were conducted based on response surface methodology (RSM) via the box-Behnken approach. Process responses viz. surface roughness (Ra) and kerf width of cut surface were measured for each experimental run. Analysis of Variance (ANOVA) was performed to get the contribution of process parameters on responses. Cutting current has the most significant effect of 33.43% on the surface roughness and gas pressure has the most significant effect on  kerf width of  41.99% . For minimum surface roughness and minimum kerf width, process parameters were optimized using the RSM. Keywords: Cutting speed, cutting current, gas pressure,   surface roughness, kerf width

Monitoring of plasma arc cutting process by cutting sound

2006 ◽  
Vol 11 (6) ◽  
pp. 701-706
Author(s):  
K. Kusumoto ◽  
Q. G. Chen ◽  
W. Xue
Keyword(s):  
Cutting Process ◽  
Plasma Arc ◽  
Plasma Arc Cutting

The Study of Surface Roughness and MRR of Mild Steel Using Manual Plasma Arc Cutting Machining

2012 ◽  
Vol 576 ◽  
pp. 3-6 ◽  
Author(s):  
R. Bhuvenesh ◽  
M.S. Abdul Manan ◽  
M.H. Norizaman
Keyword(s):  
Surface Roughness ◽  
Removal Rate ◽  
Cutting Process ◽  
Material Surface ◽  
Plasma Arc ◽  
Manufacturing Companies ◽  
Average Roughness ◽  
Plasma Arc Cutting ◽  
Before And After ◽  
Manual Plasma

Manufacturing companies define the qualities of thermal removing process based on the dimension and physical appearance of the cutting material surface. Therefore, the roughness of the surface area of the cutting material and the rate of the material being removed during the manual plasma arc cutting process was importantly considered. Plasma arc cutter Selco Genesis 90 was used to cut the specimens made from Standard AISI 1017 Steel manually based on the selected parameters setting. Two different thicknesses of specimens with 3mm and 6mm were used. The material removal rate (MRR) was measured by determining the weight of the specimens before and after the cutting process. The surface roughness (SR) analysis was conducted to determine the average roughness (Ra) value. Taguchi method was utilized as an experimental layout to obtain MRR and Ra values. The results reveal that for the case of manual plasma arc cutting machining, the SR values are inversely proportional to the MRR values. The quality of the surface roughness depends on the dross peak that occurred during the cutting process.

Calculating of the Temperature Distribution of Primary Shear Zone in Orthogonal High Speed Cutting Based on the Non-Uniform Volume Moving Heat Source

2009 ◽  
Vol 626-627 ◽  
pp. 105-110 ◽  
Author(s):  
Guo He Li ◽  
Min Jie Wang
Keyword(s):  
Temperature Distribution ◽  
Heat Source ◽  
Shear Zone ◽  
High Speed ◽  
Cutting Temperature ◽  
Cutting Speed ◽  
Constitutive Relationship ◽  
Moving Heat Source ◽  
High Speed Cutting ◽  
Strain And Strain Rate

A method was presented for calculating the temperature distribution of primary shear zone in orthogonal high speed cutting based on the non-uniform volume moving heat source. The temperature distribution of primary shear zone in orthogonal high speed cutting was calculated by the dynamic plastic constitutive relationship and the distribution of strain and strain rate of primary shear zone. The results show that the temperature distribution of primary shear zone is uneven, from the original plane to the cutoff plane, the cutting temperature increases continuously. In the middle of primary shear zone, the change of cutting temperature is larger, at the position near to original plant and cutoff plane, the change of cutting temperature is smaller. The cutting temperature increases with the increase of cutting speed and cutting depth, but decreases with the increase of rake angle. The comparison with existing method shows that the method presented in this paper is not only available, but also simple, convenient and more accord with the fact of orthogonal high speed cutting.

A Numerical Simulation for Temperature Field of Plasma Arc Cutting Ceramics

2007 ◽  
Vol 280-283 ◽  
pp. 1811-1814
Author(s):  
Wen Ji Xu ◽  
Jian Cheng Fang ◽  
T. Wang ◽  
F. Liu
Keyword(s):  
Temperature Field ◽  
Influence Factors ◽  
Cutting Speed ◽  
Processing Parameters ◽  
Difficult Problem ◽  
Ceramic Plate ◽  
Plasma Arc ◽  
Conduction Model ◽  
Plasma Arc Cutting ◽  
Arc Power

To solve the difficult problem of selecting processing parameters of plasma arc cutting ceramic (PACC), the heat conduction model of PACC has been established and the calculating formulations of temperature field have been derived. Then, the distributions and influence factors, such as arc power, cutting speed and workpiece thickness, of temperature field of the ceramic plate and the anode plate have been studied. Based on the work above, the required arc power can be calculated. Moreover, the relation between thickness of ceramic plate and anode plate can be determined, which provides a helpful reference for selecting the thickness of additional anode plate.

scholarly journals An Experimental Analysis of Cutting Quality in Plasma Arc Machining

2020 ◽  
Vol 45 (1) ◽  
pp. 1-8
Author(s):  
Marin Gostimirović ◽  
Dragan Rodić ◽  
Milenko Sekulić ◽  
Andjelko Aleksić
Keyword(s):  
Cutting Speed ◽  
Kerf Width ◽  
Machining Accuracy ◽  
Maximum Height ◽  
Machining Parameters ◽  
Plasma Arc ◽  
Low Carbon ◽  
Plasma Arc Cutting ◽  
Machining Quality

Plasma arc cutting (PAC) is an unconventional process widely used in manufacturing of heavy plate products. This work reports on the research results of machining quality of the workpiece in the plasma arc cutting on the low carbon low alloy steel. An experimental investigation of the characteristics of machining accuracy and surface integrity was carried out for basic machining parameters (cutting speed, arc current, arc voltage, plasma gas pressure, stand-off distance and nozzle diameter). The kerf geometry was determined with three accuracy parameters (top kerf width, bottom kerf width and kerf taper angle). The parameters of deviation present due to plasma curvature were defined by drag and pitch of drag line. The surface roughness was determined with two main roughness parameters through scanning the surface topography (roughness average and maximum height of the profile). The surface properties were determined over microstructure in heat affected zone (HAZ). The results show an acceptable machining quality of the PAC, so that this process is an excellent choice for fast and efficient material removal. However, the plasma arc cutting is not suitable for the final machining because of the metallurgical variations in the HAZ.

Study on Fuzzy-Neural Network for Inverted Plasma Arc Cutting Power Supply

2008 ◽  
Vol 392-394 ◽  
pp. 735-742
Author(s):  
Bo You ◽  
De Li Jia ◽  
Feng Jing Zhang
Keyword(s):  
Neural Network ◽  
Fuzzy Control ◽  
Power Supply ◽  
Fuzzy Neural Network ◽  
Cutting Process ◽  
Experimental Result ◽  
Plasma Arc ◽  
Cutting Power ◽  
Plasma Arc Cutting ◽  
Fuzzy Neural

A variable interval fuzzy quantification algorithm with self-adjustable factor in full domain is proposed in this paper. It focuses on digital inverted plasma arc cutting power and studies strong nonlinearity and uncertainty of power. The neural network is also introduced to decouple cutting parameters variables in the multi-parameters coupling cutting process. This algorithm avoids complex nonlinear system modeling and realizes real-time and effective online control of cutting process by combining advantages of fuzzy control and neural network control. Furthermore, the optimized fuzzy control improves steady-state precision and dynamic performance of system simultaneously. The experimental result shows that this control improves precision, ripples, finish and other comprehensive index of work piece cut, and plasma arc cutting power supply based on fuzzy-neural network has excellent control performance.

An ANN Approach on the Optimization of the Cutting Parameters During CNC Plasma-Arc Cutting

2010 ◽  
Author(s):  
John Kechagias ◽  
Menelaos Pappas ◽  
Stefanos Karagiannis ◽  
George Petropoulos ◽  
Vassilis Iakovakis ◽  
...  
Keyword(s):  
Neural Network ◽  
Mild Steel ◽  
Plate Thickness ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Steel Plates ◽  
Standoff Distance ◽  
Plasma Arc ◽  
Ann Model ◽  
Plasma Arc Cutting

The objective of the present study is to develop an Artificial Neural Network (ANN) in order to predict the bevel angle (response variable) during CNC plasma-arc cutting of St37 mild steel plates. The four (4) input parameters (plate thickness, cutting speed, arc ampere, and torch standoff distance) of the ANN was selected following the results (relative importance) of the Analysis Of Variance (ANOVA) performed based on seven (7) factors (plate thickness, cutting speed, arc ampere, arc voltage, air pressure, pierce height, and torch standoff distance) in a previous study. A multi-parameter optimization was carried out using the robust design. An L18 (21 × 37) Taguchi orthogonal array experiment was conducted and the right bevel angle was measured, aiming at the investigation of the influence of plasma-arc cut process parameters on right side bevel angle of St37 mild steel cut surface. The selection of quality characteristics, material, plate thickness and other process parameter levels and experimental limits was based on the experience and current needs of the Greek machining industry. A feed-forward backpropagation (FFBP) neural network was fitted on the experimental data. The results show that accurate predictions of the bevel angle can be achieved inside the experimental region, through the trained FFBP-ANN. The developed ANN model could be further used for the optimization of the cutting parameters during CNC plasma-arc cutting.

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