scholarly journals Experimental investigation of energy balance in plasma arc cutting process

2014 ◽  
Vol 511 ◽  
pp. 012067 ◽  
Author(s):  
T Kavka ◽  
S Tossen ◽  
A Maslani ◽  
M Konrad ◽  
H Pauser ◽  
...  
Keyword(s):  
Experimental Investigation ◽  
Energy Balance ◽  
Cutting Process ◽  
Plasma Arc ◽  
Plasma Arc Cutting

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.

scholarly journals Experimental investigation of magnetic arc blow in plasma arc cutting

2014 ◽  
Vol 59 (1) ◽  
pp. 45-51 ◽  
Author(s):  
Yoshihiro Yamaguchi ◽  
Yusuke Katada ◽  
Takeru Itou ◽  
Yoshihiko Uesugi ◽  
Yasunori Tanaka ◽  
...  
Keyword(s):  
Experimental Investigation ◽  
Plasma Arc ◽  
Plasma Arc Cutting

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.

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.

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