Surface quality analysis of die steels in powder-mixed electrical discharge machining using titan powder in fine machining

Improving the quality of surface molds after electrical discharge machining is still being considered by many researchers. Powder-mixed dielectric in electrical discharge machining showed that it is one of the processing methods with high efficiency. This article reports on the results of surface qu...

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Main Authors: Banh Tien Long, Nguyen Huu Phan, Ngo Cuong, Nguyen Duc Toan
Format: Article
Language:English
Published: SAGE Publishing 2016-06-01
Series:Advances in Mechanical Engineering
Online Access:https://doi.org/10.1177/1687814016657732
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spelling doaj-00f19d25c0044672b4a3d2de53b6dfa52020-11-25T03:13:34ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402016-06-01810.1177/168781401665773210.1177_1687814016657732Surface quality analysis of die steels in powder-mixed electrical discharge machining using titan powder in fine machiningBanh Tien Long0Nguyen Huu Phan1Ngo Cuong2Nguyen Duc Toan3Hanoi University of Science and Technology, Hanoi, VietnamTechnical-Economics College, Thai Nguyen University, Thai Nguyen, VietnamTechnical-Economics College, Thai Nguyen University, Thai Nguyen, VietnamHanoi University of Science and Technology, Hanoi, VietnamImproving the quality of surface molds after electrical discharge machining is still being considered by many researchers. Powder-mixed dielectric in electrical discharge machining showed that it is one of the processing methods with high efficiency. This article reports on the results of surface quality of mold steels after powder-mixed electrical discharge machining using titanium powder in fine machining. The process parameters such as electrode material, workpiece material, electrode polarity, pulse on-time, pulse off-time, current, and titanium powder concentration were considered in the research. These materials are most commonly used with die-sinking electrical discharge machining in the manufacture of molds and has been selected as the subject of research: workpiece materials were SKD61, SKT4, and SKD11 mold steels, and electrode materials were copper and graphite. Taguchi’s method is used to design experiments. The influence of the parameters on surface roughness was evaluated through the average value and ratio ( S / N ). Results showed that the parameters such as electrical current, electrode material, pulse on-time, electrode polarity, and interaction between the electrode materials with concentration powder mostly influence surface roughness and surface roughness at optimal parameters SR opt  = 1.73 ± 0.39 µm. Analysis of the surface layer after powder-mixed electrical discharge machining using titanium powder in optimal conditions has shown that the white layer with more uniform thickness and increased hardness (≈861.0 HV), and amount and size of microscopic cracks, is reduced. This significantly leads to the increase in the quality of the surface layer.https://doi.org/10.1177/1687814016657732
collection DOAJ
language English
format Article
sources DOAJ
author Banh Tien Long
Nguyen Huu Phan
Ngo Cuong
Nguyen Duc Toan
spellingShingle Banh Tien Long
Nguyen Huu Phan
Ngo Cuong
Nguyen Duc Toan
Surface quality analysis of die steels in powder-mixed electrical discharge machining using titan powder in fine machining
Advances in Mechanical Engineering
author_facet Banh Tien Long
Nguyen Huu Phan
Ngo Cuong
Nguyen Duc Toan
author_sort Banh Tien Long
title Surface quality analysis of die steels in powder-mixed electrical discharge machining using titan powder in fine machining
title_short Surface quality analysis of die steels in powder-mixed electrical discharge machining using titan powder in fine machining
title_full Surface quality analysis of die steels in powder-mixed electrical discharge machining using titan powder in fine machining
title_fullStr Surface quality analysis of die steels in powder-mixed electrical discharge machining using titan powder in fine machining
title_full_unstemmed Surface quality analysis of die steels in powder-mixed electrical discharge machining using titan powder in fine machining
title_sort surface quality analysis of die steels in powder-mixed electrical discharge machining using titan powder in fine machining
publisher SAGE Publishing
series Advances in Mechanical Engineering
issn 1687-8140
publishDate 2016-06-01
description Improving the quality of surface molds after electrical discharge machining is still being considered by many researchers. Powder-mixed dielectric in electrical discharge machining showed that it is one of the processing methods with high efficiency. This article reports on the results of surface quality of mold steels after powder-mixed electrical discharge machining using titanium powder in fine machining. The process parameters such as electrode material, workpiece material, electrode polarity, pulse on-time, pulse off-time, current, and titanium powder concentration were considered in the research. These materials are most commonly used with die-sinking electrical discharge machining in the manufacture of molds and has been selected as the subject of research: workpiece materials were SKD61, SKT4, and SKD11 mold steels, and electrode materials were copper and graphite. Taguchi’s method is used to design experiments. The influence of the parameters on surface roughness was evaluated through the average value and ratio ( S / N ). Results showed that the parameters such as electrical current, electrode material, pulse on-time, electrode polarity, and interaction between the electrode materials with concentration powder mostly influence surface roughness and surface roughness at optimal parameters SR opt  = 1.73 ± 0.39 µm. Analysis of the surface layer after powder-mixed electrical discharge machining using titanium powder in optimal conditions has shown that the white layer with more uniform thickness and increased hardness (≈861.0 HV), and amount and size of microscopic cracks, is reduced. This significantly leads to the increase in the quality of the surface layer.
url https://doi.org/10.1177/1687814016657732
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