Identification of suitable machining zone during the plasma arc cutting of SS-304

2020 ◽  
Author(s):  
Dalvir Singh ◽  
Yogesh Shrivastava ◽  
Raj kumar
Keyword(s):  
Plasma Arc ◽  
Plasma Arc Cutting ◽  
Ss 304

Increased Duty Cycle for Plasma Arc Cutting Machines Through a Separated Automatic Plate Marking Station

1989 ◽  
Vol 5 (04) ◽  
pp. 207-227
Author(s):  
J. M. Sizemore ◽  
D. P. Rome
Keyword(s):  
Duty Cycle ◽  
Fabrication Process ◽  
Plasma Arc ◽  
Technical Feasibility ◽  
Plasma Arc Cutting ◽  
Cutting Machine ◽  
Percent Increase

Plate marking as currently practiced limits plasma arc cutting machine duty cycle. This, in turn, constrains plate fabrication process lane throughput. A separate automatic plate marking station which will significantly increase plasma arc cutting capacities is defined. A 60 to 100 percent increase in plate fabrication process lane throughput is anticipated while simultaneously reducing unit direct labor. The design is supported by technical feasibility demonstrations.

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

Optimization of Process Parameters in Plasma Arc Cutting Applying Genetic Algorithm and Fuzzy Logic

2018 ◽  
pp. 123-139
Author(s):  
Nehal Dash ◽  
Apurba Kumar Roy ◽  
Sanghamitra Debta ◽  
Kaushik Kumar
Keyword(s):  
Genetic Algorithm ◽  
Surface Roughness ◽  
Fuzzy Logic ◽  
Process Parameters ◽  
Material Removal Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Plasma Arc ◽  
Plasma Arc Cutting ◽  
Optimization Of Process Parameters

Plasma Arc Cutting (PAC) process is a widely used machining process in several fabrication, construction and repair work applications. Considering gas pressure, arc current and torch height as the inputs and among all possible outputs, in the present work Material Removal Rate and Surface Roughness would be considered as factors that determines the quality, machining time and machining cost. In order to reduce the number of experiments Design of Experiments (DOE) would be carried out. In later stages applications of Genetic Algorithm (GA) and Fuzzy Logic would be used for Optimization of process parameters in Plasma Arc Cutting (PAC). The output obtained would be minimized and maximized for Surface Roughness and Material Removal Rate respectively using Genetic Algorithm (GA) and Fuzzy Logic.

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