INVESTIGATION OF TOOL WEAR AND THRUST FORCE IN DRILLING AISI 316 AUSTENITIC STAINLESS STEEL USING ELECTROPHORESIS METHOD

Cutting tool costs are an important component of machining. For this reason, improving machining methods in machining affects the life of the cutting tool. Recently, various machining methods have been used to extend tool life by reducing cutting tool wear. One of these methods is electrophoresis-assisted processing. Electrophoresis-assisted machining is a non-traditional machining method created by the impact of abrasive nanoparticles on the machining area with the help of the generated electric field. Electrophoresis-assisted machining increases the machinability of difficult-to-machine materials with high strength and hardness properties compared to traditional machining methods. In this study, the impacts of various cutting parameters on the drilling performance of AISI 316 L stainless steel material were searched using electrophoresis-assisted drilling (EAD) and conventional drilling (CD) methods. In the study, SiC powder was used as nanoparticles in the solution obtained to create the electric field. Within the scope of the experiments, the effects of different machining methods, cutting speeds and feed rates on thrust forces and cutting tool wear values were experimentally examined. As a result of the investigations, the cutting tool wear and thrust cutting force obtained with EAD are better than CM. Increasing feed rate and cutting speed increased cutting tool wear in both machining methods. It has been determined that the thrust force decreases as the cutting speed increases, while it increases as the feed rate increases.Keywords: Electrophoresis, drilling, cutting force, tool wear, AISI 316

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Publication Details

Journal
International Journal of Innovative Engineering Applications
Published
2024-11-29
DOI
https://doi.org/10.46460/ijiea.1489544
Primary Topic
Advanced Machining and Optimization Techniques
Type
article
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article

INVESTIGATION OF TOOL WEAR AND THRUST FORCE IN DRILLING AISI 316 AUSTENITIC STAINLESS STEEL USING ELECTROPHORESIS METHOD

Aybars Mahmat
International Journal of Innovative Engineering Applications
Advanced Machining and Optimization Techniques
article

INVESTIGATION OF TOOL WEAR AND THRUST FORCE IN DRILLING AISI 316 AUSTENITIC STAINLESS STEEL USING ELECTROPHORESIS METHOD

Aybars Mahmat
article en

Abstract

Cutting tool costs are an important component of machining. For this reason, improving machining methods in machining affects the life of the cutting tool. Recently, various machining methods have been used to extend tool life by reducing cutting tool wear. One of these methods is electrophoresis-assisted processing. Electrophoresis-assisted machining is a non-traditional machining method created by the impact of abrasive nanoparticles on the machining area with the help of the generated electric field. Electrophoresis-assisted machining increases the machinability of difficult-to-machine materials with high strength and hardness properties compared to traditional machining methods. In this study, the impacts of various cutting parameters on the drilling performance of AISI 316 L stainless steel material were searched using electrophoresis-assisted drilling (EAD) and conventional drilling (CD) methods. In the study, SiC powder was used as nanoparticles in the solution obtained to create the electric field. Within the scope of the experiments, the effects of different machining methods, cutting speeds and feed rates on thrust forces and cutting tool wear values were experimentally examined. As a result of the investigations, the cutting tool wear and thrust cutting force obtained with EAD are better than CM. Increasing feed rate and cutting speed increased cutting tool wear in both machining methods. It has been determined that the thrust force decreases as the cutting speed increases, while it increases as the feed rate increases.Keywords: Electrophoresis, drilling, cutting force, tool wear, AISI 316

International Journal of Innovative Engineering ApplicationsVol. 8(2)
Munzur University (TR)
Openalex Percentile: Top 81%
Advanced Machining and Optimization Techniques
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