Optimization of plasma cutting parameters on dimensional accuracy and machining time for low carbon steel
Joint Authors
Najm, Vian Nihad
Hamud, Sami A.
Source
Engineering and Technology Journal
Issue
Vol. 38, Issue 8A (31 Aug. 2020), pp.1160-1168, 9 p.
Publisher
Publication Date
2020-08-31
Country of Publication
Iraq
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
This workaimsto study theinfluence of plasma arc cutting parameters on dimensional accuracy and machining time for mildsteel (1010)material with the thickness (4 mm).
Selected three cutting parameters (arc current, cutting speed, and arc distance) orthe experimental work.
12 tests have been performed at each test one parameter has been changed with four variouslevels and other parameters are constant.
The influenceof the cutting parameters on response results (dimensional accuracy and machining time) have been studied and analyzed by using response surface methodology (RSM) using the second-order model and main effect plot have been generated of each parameter on response results by using ANOVA depended on results of response surface analysis.
The results of the response surface analysisshowed that the importantinfluencing parameters on dimensional accuracy were cutting speed and arc current as well as on deviation of dimensional accuracy, and the machining time is further affected with the current more than the cutting speed and the standoff distance.
The outcomesof response surface analysisshowed that the optimal settingof the cutting parameters to obtain athigh dimensional accuracy were (arc current= 110 A, cutting speed = 4000 m/min, arc distance = 2mm) and to obtain on less machining time was (arc current= 110 A, cutting speed = 4000 m/min, arc distance = This workaimsto study theinfluence of plasma arc cutting parameters on dimensional accuracy and machining time for mildsteel (1010)material with the thickness (4 mm).
Selected three cutting parameters (arc current, cutting speed, and arc distance) orthe experimental work.
12 tests have been performed at each test one parameter has been changed with four variouslevels and other parameters are constant.
The influenceof the cutting parameters on response results (dimensional accuracy and machining time) have been studied and analyzed by using response surface methodology (RSM) using the second-order model and main effect plot have been generated of each parameter on response results by using ANOVA depended on results of response surface analysis.
The results of the response surface analysisshowed that the importantinfluencing parameters on dimensional accuracy were cutting speed and arc current as well as on deviation of dimensional accuracy, and the machining time is further affected with the current more than the cutting speed and the standoff distance.
The outcomesof response surface analysisshowed that the optimal settingof the cutting parameters to obtain athigh dimensional accuracy were (arc current= 110 A, cutting speed = 4000 m/min, arc distance = 2mm) and to obtain on less machining time was (arc current= 110 A, cutting speed = 4000 m/min, arc distance = 5mm).
American Psychological Association (APA)
Hamud, Sami A.& Najm, Vian Nihad. 2020. Optimization of plasma cutting parameters on dimensional accuracy and machining time for low carbon steel. Engineering and Technology Journal،Vol. 38, no. 8A, pp.1160-1168.
https://search.emarefa.net/detail/BIM-1236381
Modern Language Association (MLA)
Hamud, Sami A.& Najm, Vian Nihad. Optimization of plasma cutting parameters on dimensional accuracy and machining time for low carbon steel. Engineering and Technology Journal Vol. 38, no. 8A (2020), pp.1160-1168.
https://search.emarefa.net/detail/BIM-1236381
American Medical Association (AMA)
Hamud, Sami A.& Najm, Vian Nihad. Optimization of plasma cutting parameters on dimensional accuracy and machining time for low carbon steel. Engineering and Technology Journal. 2020. Vol. 38, no. 8A, pp.1160-1168.
https://search.emarefa.net/detail/BIM-1236381
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 1168
Record ID
BIM-1236381