scholarly journals Investigation on the Surface Roughness When Cutting Hard Material with Plasma Arc Cutting

2021 ◽  
Vol 6 (2) ◽  
pp. 28
Author(s):  
Omar Monir Koura ◽  
Sarah Atef Afifi ◽  
Mervat Tawfik ◽  
Samah Samir Mohammed
Keyword(s):  
Surface Roughness ◽  
Hard Material ◽  
Plasma Arc ◽  
Plasma Arc Cutting

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

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.

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 Pengaruh Kecepatan Pemotongan dan Ketebalan Bahan Terhadap Kekerasan dan Kekasaran Permukaan Baja AISI 1045 Menggunakan CNC Plasma Arc Cutting

2019 ◽  
Vol 4 (2) ◽  
pp. 93-98
Author(s):  
Ami Rima Rahmawati ◽  
Samsudin Anis ◽  
Rusiyanto Rusiyanto
Keyword(s):  
Surface Roughness ◽  
Cutting Speed ◽  
Surface Hardness ◽  
Hardness Test ◽  
Plasma Arc ◽  
Plasma Arc Cutting ◽  
Material Thickness ◽  
Aisi 1045 Steel ◽  
Aisi 1045 ◽  
1045 Steel

This experimental study aims to determine the effect of cutting speed and material thickness on the surface hardness and roughness resulting from the cutting of AISI-1045 steel using CNC Plasma Arc Cutting. The data analysis technique being used was descriptive statistics. The variables of cutting the AISI-1045 steel for the cutting speeds are 75 mm/min, 100 mm/min, and 125 mm/min. The variables for material thickness are 5 mm, 9 mm, and 13 mm. The experiment carried out were the hardness test using Micro-hardness Tester M800 and roughness test using Surfcorder SE-1700. The results show that the lower the cutting speed, the higher the surface hardness and roughness value, and vice versa. The great thickness of the material, the hardness produced and the roughness value is higher. When the cutting speed and thickness of the material value are high, the workpiece cannot be cut off. The lowest hardness and surface roughness values were 261.33 HV and 10.3 µm, respectively, using a cutting speed of 125 mm/min and the material thickness of 5 mm. The highest hardness value is 319.66 HV, using a cutting speed of 75 mm/min and a material thickness of 13 mm. The highest surface roughness value is 26.8 µm, which were obtained using a cutting speed of 75 mm/min and material thickness of 9 mm.Penelitian ini bertujuan untuk mengetahui pengaruh kecepatan pemotongan dan ketebalan bahan terhadap kekerasan dan kekasaran permukaan hasil pemotongan baja AISI-1045 menggunakan CNC Plasma Arc Cutting. Penelitian ini menggunakan metode eksperimen dan teknik analisis data yang digunakan adalah statistika deskriptif pada pemotongan baja AISI-1045 dengan kecepatan pemotongan 75 mm/min, 100 mm/min, 125 mm/min dan tebal bahan 5 mm, 9 mm, dan 13 mm. Pengujian kekerasan dilakukan menggunakan microhardness terster M800 dan pengujian kekasaran dilakukan menggunakan Surfcorder SE-1700. Hasil penelitian menunjukkan bahwa semakin rendah kecepatan pemotongan maka nilai kekerasan semakin tinggi dan nilai kekasaran permukaan semakin tinggi atau sebaliknya. Semakin besar ketebalan bahan yang digunakan maka nilai kekerasan yang dihasilkan semakin tinggi dan nilai kekasaran semakin tinggi atau sebaliknya. Semakin tinggi kecepatan pemotongan dan ketebalan bahan, benda kerja tidak dapat terpotong. Nilai kekerasan dan kekasaran permukaan paling rendah yaitu 261,33 HV dan 10,3 µm dengan kecepatan pemotongan 125 mm/min dan ketebalan bahan 5 mm. Nilai kekerasan yang paling tinggi yaitu 319,66 HV dengan menggunakan kecepatan pemotongan 75 mm/min dan ketebalan bahan 13 mm dan nilai kekasaran permukaan paling tinggi yaitu 26,8 µm dengan kecepatan pemotongan 75 mm/min dan ketebalan bahan 9 mm.

Analysis of Process Parameters of Plasma Arc Cutting of Stainless Steel Using Taguchi Method

2011 ◽  
Vol 110-116 ◽  
pp. 3551-3556
Author(s):  
Kali Pada Maity ◽  
Vivek Singh ◽  
Sachin Bhartiya
Keyword(s):  
Stainless Steel ◽  
Taguchi Method ◽  
High Accuracy ◽  
Hard Material ◽  
Plasma Arc ◽  
Stainless Steel 316L ◽  
Plasma Arc Cutting ◽  
Cutting Machine ◽  
Intricate Shape ◽  
Conventional Machining

Plasma Arc Machining is one of the most important non conventional machining method used in fabrication industries because of its high accuracy, ability to machine any hard material, ability to produce any intricate shape and better finish. In the present investigation, plasma arc cutting of stainless steel (316L) materials has been carried out using plasma arc cutting machine. The optimization of process has been carried out using Taguchi method of design of experiment.

Optimization of Surface Roughness in Plasma Arc Cutting of AISID2 Steel Using TLBO

2018 ◽  
Vol 5 (9) ◽  
pp. 18927-18932 ◽  
Author(s):  
Parthkumar Patel ◽  
Bhavdeep Nakum ◽  
Kumar Abhishek ◽  
V. Rakesh Kumar ◽  
Anshuman Kumar
Keyword(s):  
Surface Roughness ◽  
Plasma Arc ◽  
Plasma Arc Cutting

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.

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.

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