New equipment for manual plasma arc metal cutting

1973 ◽  
Vol 9 (8) ◽  
pp. 686-689
Author(s):  
K. V. Vasil'ev ◽  
A. M. Komissarov ◽  
A. A. Isachenko
Keyword(s):  
Metal Cutting ◽  
Plasma Arc ◽  
Manual Plasma

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 Comparison of laser beam, oxygen and plasma arc cutting methods in terms of their advantages and disadvantages in cutting structural steels

2021 ◽  
Vol 2130 (1) ◽  
pp. 012022
Author(s):  
G Írsel ◽  
B N Güzey
Keyword(s):  
Laser Beam ◽  
Metal Cutting ◽  
Cost Effective ◽  
Cutting Process ◽  
Oxygen Mixture ◽  
Plasma Cutting ◽  
Plasma Arc ◽  
Setup Cost ◽  
Plasma Arc Cutting ◽  
Advantages And Disadvantages

Abstract The laser beam, plasma arc, and oxygen cutting methods are widely used in metal cutting processes. These methods are quite different from each other in terms of initial setup cost and cutting success. A powered laser beam is used in laser beam cutting, plasma is used in plasma arc cutting, flammable gas - oxygen mixture is used in the oxygen cutting method. In this study, the cutting success of these methods was investigated on tensile specimens. Microstructure, hardness (HV 0.1), surface roughness, and strengths were investigated after the cutting process. The tensile test implemented with tensile samples cut from the same material by these three methods, it was observed that the strength values of the samples changed by about 8% in tensile strength depending on the cutting process. The hardness of the cut surfaces in plasma arc cutting increased from 150 HV to 230 HV for S235JR material. For this reason, it is difficult to perform machining operations after plasma cutting. The hardness value reached after laser beam cutting is 185 HV. Plasma arc cutting is more cost-effective than laser beam cutting. 1-3° vertical inclination (conicity) occurs on the cut surface in plasma arc cutting, while this inclination almost does not occur in laser cutting. In plasma cutting benches, cutting is done with oxygen, and in cutting with oxygen, the taper is seen in a small amount.

scholarly journals Prediction and Analysis of Multi-Response Characteristics on Plasma Arc Cutting of Monel 400™ Alloy Using Mamdani-Fuzzy Logic System and Sensitivity Analysis

Materials ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 3558
Author(s):  
Rajamani Devaraj ◽  
Emad Abouel Nasr ◽  
Balasubramanian Esakki ◽  
Ananthakumar Kasi ◽  
Hussein Mohamed
Keyword(s):  
Sensitivity Analysis ◽  
Fuzzy Logic ◽  
Metal Cutting ◽  
Removal Rate ◽  
Cutting Speed ◽  
Average Error ◽  
Plasma Arc ◽  
Plasma Arc Cutting ◽  
Response Characteristics ◽  
Monel 400

Nickel-based alloys, especially Monel 400™, is gaining its significance in diverse applications owing to its superior mechanical properties and high corrosion resistance. Machining of these materials is extremely difficult through the traditional manufacturing process because of their affinity to rapid work hardening and deprived thermal conductivity. Owing to these difficulties a well-established disruptive metal cutting process namely plasma arc cutting (PAC) can be widely used to cut the sheet metals with intricate profiles. The present work focuses on an intelligent modeling of the PAC process and investigation on the multi-quality characteristics of PAC parameters using the fuzzy logic approach. The Box-Behnken response surface methodology is incorporated to design and conduct the experiments, and to establish the relationship between PAC parameters such as cutting speed, gas pressure, arc current, and stand-off distance and responses which include the material removal rate (MRR), kerf taper (KT), and heat affected zone (HAZ). The quadratic regression models are developed and their performances are assessed using the analysis of variance (ANOVA). Fuzzy set theory-based models are formulated to predict various responses using the Mamdani approach. Fuzzy logic and regression results are compared with the experimental data. A comparative evaluation predicted an average error of 0.04% for MRR, 0.48% for KT, and 0.46% for HAZ, respectively. The effect of variations in PAC process parameters on selected responses are estimated through performing the sensitivity analysis.

Predictive Control for Manual Plasma Arc Pipe Welding

2014 ◽  
Vol 136 (4) ◽  
Author(s):  
Xiangrong Li ◽  
YuMing Zhang
Keyword(s):  
Control System ◽  
Predictive Control ◽  
Arc Welding ◽  
Welding Current ◽  
Welding Parameters ◽  
Plasma Arc ◽  
Loop Control ◽  
Gas Tungsten Arc ◽  
Gtaw Process ◽  
Manual Plasma

Plasma arc welding (PAW) has several advantages over traditional gas tungsten arc welding (GTAW) process. However, due to its sensitivity to welding parameters, this process has not been widely used in industry, especially for manual welding applications where variations in welding parameters are substantial. This paper introduces and implements a model predictive control (MPC) method to adjust welding current in order to compensate the effects from these variations during manual plasma welding operation. A linear model with adequate accuracy has been selected for the design of control system. Closed-loop control experiments verified the effectiveness of developed control system.

Evaluation of the Effectiveness of Plasma Torches Design for Metal Cutting by Qualimetric Method

2019 ◽  
Vol 946 ◽  
pp. 877-882
Author(s):  
I.Y. Matushkina ◽  
S.V. Anakhov ◽  
Yu.A. Pyckin
Keyword(s):  
Metal Cutting ◽  
Quality And Safety ◽  
Plasma Cutting ◽  
Plasma Arc ◽  
Work Efficiency ◽  
Integral Evaluation ◽  
Plasma Arc Cutting ◽  
Plasma Torches ◽  
Safety Parameters ◽  
Experimental Substantiation

For experimental substantiation of plasmatrons work efficiency the technological regulations of quality and safety parameters test for plasma-arc cutting of metals technology are taken. For the integral evaluation of the obtained results it is proposed to use the methods of qualimetric analysis adapted to the technology of plasma cutting. The obtained integral parameters indicate the effectiveness of the new plasmatrons, designed by the authors in comparison with previously produced analogues, as well as with modern domestic and foreign samples.

PREDICTIVE MODELING OF SURFACE ROUGHNESS, MATERIAL REMOVAL RATE AND KERF USING MULTIPLE REGRESSION ANALYIS IN PLASMA ARC CUTTING PROCESS OF HARDOX AND ABREX STEEL

2020 ◽  
Vol 27 (09) ◽  
pp. 1950206
Author(s):  
DEEPAK KUMAR NAIK ◽  
KALIPADA MAITY
Keyword(s):  
Surface Roughness ◽  
Multiple Regression ◽  
Material Removal Rate ◽  
Material Removal ◽  
Metal Cutting ◽  
Removal Rate ◽  
Cutting Speed ◽  
High Strength ◽  
Plasma Arc ◽  
Plasma Arc Cutting

Plasma arc cutting (PAC) process is widely used in metal cutting industries and modern fabrication units. Precise cutting of high strength material is still a challenging task to the industries. PAC process uses thermal energy to melt the material through highly energized plasma gas. Mostly, “hard-to-cut” type materials is used to cut through this process to meet the demands. The present work proposes an experimental investigation of PAC process of hardox 400 and abrex 400. Both the materials are high strength and high abrasion resistance in nature. Experiments were conducted based on Taguchi’s L[Formula: see text] orthogonal array design. The cutting parameters analyzed were arc current, cutting speed, stand-off distance and supply gas pressure whereas material removal rate, kerf and surface roughness were selected as responses. Also, a prediction model was developed to estimate the responses using multiple regression analysis. A comparison between experimental and predicted result shows the accuracy of the model. Analysis of variance (ANOVA) was used to verify the effect of each parameter on the surface quality to be assessed.

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