FDM Yöntemi Kullanılarak Üretilen Grafen Katkılı PLA+ Malzemeden Üretilen Numunelerin Çeşitli Sürtünme Ve Aşınma Şartları Altında Tribolojik Davranışlarının Incelenmesi

In the present study, 9 identical samples were produced by using 2% graphene reinforced PLA+ filament by melt deposition modeling (FDM) method. The friction and wear behaviors of the produced graphene-doped samples under different tribological conditions were investigated. In order to create different tribological conditions, the applied load, rotational speed (rpm) and sliding distance were determined as variable parameters throughout the experiments. 3 different levels were selected for each parameter determined as variable. The applied load was determined as 30 – 40 – 50 Newton, rotational speed (rpm) as 200 – 250 – 300, and sliding distance as 100 – 150 – 200 meters. Taguchi L9 array was used in order to reduce the number of experiments in the 3 different parameters and 3 different levels selected. As a result of the experiments performed, it was observed that Sample 1 produced with 30 N load, 200 rpm and 100 meters sliding distance had the highest wear rate and friction coefficient. It was observed that Sample 3, produced with 30 N load – 300 rpm and 200 meters sliding distance, had the lowest wear rate and friction coefficient. In addition, it was observed that the speed parameter was the most effective parameter on the friction coefficient with a delta value of 0.0422, that the parameter levels did not have a linear or consistent increase or decrease effect, and that the speed parameter was the most effective with a Delta value of 0.889 when examined in terms of S / N ratios

Authors

Publication Details

Journal
DergiPark (Istanbul University)
Published
2025-05-07
Primary Topic
Tribology and Wear Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

FDM Yöntemi Kullanılarak Üretilen Grafen Katkılı PLA+ Malzemeden Üretilen Numunelerin Çeşitli Sürtünme Ve Aşınma Şartları Altında Tribolojik Davranışlarının Incelenmesi

Muhammed İkbal Kara
DergiPark (Istanbul University)
Tribology and Wear Analysis
article

FDM Yöntemi Kullanılarak Üretilen Grafen Katkılı PLA+ Malzemeden Üretilen Numunelerin Çeşitli Sürtünme Ve Aşınma Şartları Altında Tribolojik Davranışlarının Incelenmesi

Muhammed İkbal Kara
article en

Abstract

In the present study, 9 identical samples were produced by using 2% graphene reinforced PLA+ filament by melt deposition modeling (FDM) method. The friction and wear behaviors of the produced graphene-doped samples under different tribological conditions were investigated. In order to create different tribological conditions, the applied load, rotational speed (rpm) and sliding distance were determined as variable parameters throughout the experiments. 3 different levels were selected for each parameter determined as variable. The applied load was determined as 30 – 40 – 50 Newton, rotational speed (rpm) as 200 – 250 – 300, and sliding distance as 100 – 150 – 200 meters. Taguchi L9 array was used in order to reduce the number of experiments in the 3 different parameters and 3 different levels selected. As a result of the experiments performed, it was observed that Sample 1 produced with 30 N load, 200 rpm and 100 meters sliding distance had the highest wear rate and friction coefficient. It was observed that Sample 3, produced with 30 N load – 300 rpm and 200 meters sliding distance, had the lowest wear rate and friction coefficient. In addition, it was observed that the speed parameter was the most effective parameter on the friction coefficient with a delta value of 0.0422, that the parameter levels did not have a linear or consistent increase or decrease effect, and that the speed parameter was the most effective with a Delta value of 0.889 when examined in terms of S / N ratios

DergiPark (Istanbul University)
Openalex Percentile: Top 67%
Tribology and Wear Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.