A Study on the Quality Prediction Model Using ELMs in Plasma Cutting Process

2021 ◽  
Vol 45 (11) ◽  
pp. 961-967
Author(s):  
Chung-Woo Lee ◽  
Tae-Jong Yun ◽  
Won-Bin Oh ◽  
Bo-Ram Lee ◽  
Young-Su Kim ◽  
...  
Keyword(s):  
Prediction Model ◽  
Cutting Process ◽  
Quality Prediction ◽  
Plasma Cutting

Content aware video quality prediction model for HEVC encoded bitstream

2017 ◽  
Vol 76 (18) ◽  
pp. 19191-19209
Author(s):  
Yongfang Wang ◽  
Kanghua Zhu ◽  
Jian Wu ◽  
Yun Zhu
Keyword(s):  
Prediction Model ◽  
Video Quality ◽  
Quality Prediction ◽  
Content Aware

Experimental study of mild steel cutting process by using the plasma arc method

2021 ◽  
Vol 108 (2) ◽  
pp. 75-85
Author(s):  
H.M. Magid
Keyword(s):  
Industrial Process ◽  
Scanning Speed ◽  
Cutting Parameters ◽  
Operating Conditions ◽  
Kerf Width ◽  
Cutting Process ◽  
Plasma Cutting ◽  
Plasma Arc ◽  
Cutting Equipment

Purpose: In this study, plasma arc cutting (PAC) is an industrial process widely used for cutting various away types of metals in several operating conditions. Design/methodology/approach: It is carried out a systematic or an authoritative inquiry to discover and examine the fact, the plasma cutting process is to establish the accuracy and the quality of the cut in this current paper assessed a good away to better the cutting process. Findings: It found that the effect of parameters on the cutting quality than on the results performed to accomplish by statistical analysis. Research limitations/implications: The objective of the present work paper is to achieve cutting parameters, thus the quality of the cutting process depends upon the plasma gas pressure, scanning speed, cutting power, and cutting height. Practical implications: The product of the plasma cutting process experimentally has been the quality of the cutting equipment that was installed to monitor kerf width quality by exam the edge roughness, kerf width, and the size of the heat-affected zone (HAZ). Originality/value: The results reveal that were technically possessed of including all the relevant characteristics, then a quality control for the cutting and describe the consequence of the process parameters.

Hybrid Induction Plasma Cutting Process - A New Technology for High Speed Metal Cutting

2014 ◽  
Author(s):  
Jerald E. Jones ◽  
Valerie L. Rhoades ◽  
Mark D. Mann ◽  
Todd Holverson
Keyword(s):  
Induction Heating ◽  
Plasma Torch ◽  
High Speed ◽  
Metal Cutting ◽  
New Technology ◽  
Cutting Process ◽  
Plasma Cutting ◽  
Air Plasma ◽  
Aircraft Carrier ◽  
Initial Development

A new cutting process, a hybrid system, uses induction heating to heat the metal ahead of the plasma cutting torch. The process has demonstrated the ability to plasma cut steel parts at speeds of up to 4X the speed of the plasma torch without the induction heating. Although the total heat input per unit time is greater, because of the increase in speed, the heat which is conducted into the cut pieces is less. This causes less potential metallurgical damage, less potential distortion, and reduced coating damage and reduced emissions during cutting, in comparison to the plasma cutting process without the induction heating. The initial development was primarily for use in cutting nuclear submarine and aircraft carrier hulls, for scrapping after decommissioning. The process has been demonstrated cutting steel plates and can be used in ship production as well. The primary motivation of the SBIR project was to reduce the heating of the cut pieces, in order to reduce the particulate matter (PM) emissions which occur when coated ship hull material is cut. An induction coil is positioned in front of the plasma cutting torch, to bring the material to an elevated temperature of at least 1600° F, before the plasma is applied to the metal surface. Induction heating testing has shown that the 35 kW induction system can maintain the 1600° F surface temperature at travel speeds of above 220 inches per minute on steel as thick as 3 inches. Once the steel is at that temperature an air plasma torch can cut the metal much faster than cutting cold steel.

Water quality prediction model in open limestone systems

2020 ◽  
pp. 279-282
Author(s):  
Louis McDonald ◽  
Qingyun Sun ◽  
Jeffrey Skousen ◽  
Paul Ziemkiewicz
Keyword(s):  
Water Quality ◽  
Prediction Model ◽  
Quality Prediction ◽  
Water Quality Prediction
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