Improved Wear Resistance of the Fe-C-Ti Hardfacing Alloy by Nano TiCN Particles Fabricated by FCAW-N2
Publish Year: 1397
Type: Journal paper
Language: English
View: 340
This Paper With 6 Page And PDF Format Ready To Download
- Certificate
- I'm the author of the paper
Export:
Document National Code:
JR_JEFM-2-2_006
Index date: 16 July 2019
Improved Wear Resistance of the Fe-C-Ti Hardfacing Alloy by Nano TiCN Particles Fabricated by FCAW-N2 abstract
In this investigation the Fe-C-Ti hardfacing alloy was fabricated by FCAW-N2 on AISI 1010 mild steel substrates, and then heat treatment was carried out on the samples. The OES, XRD, OM and SEM examinations and Rockwell hardness method were used for determining chemical composition, hardness and studying the microstructure of the hardface and heat treated samples. The OES examination results indicated that absorption of nitrogen in hardface sample was occurred. The XRD, OM and SEM examination results indicated that the microstructure of both hardface and heat treated sample, includes the ferrite with TiCN particles, but with different in size and distribute of the TiCN particles in microstructure. The microstructure of the heat treated sample had the nano scale of TiCN (500nm) with uniformly distribute at the ferrite matrix. The wear test (ASTM G 65) results indicate that the highest wear resistance is gained in the heat treated sample with maximum surface hardness. In addition, abrasive wear micromechanisms in steel substrate/ hardface / heat treated samples were recognized as: deep ploughing / ploughing + cutting / shallow ploughing + cutting respectively.
Improved Wear Resistance of the Fe-C-Ti Hardfacing Alloy by Nano TiCN Particles Fabricated by FCAW-N2 Keywords:
Improved Wear Resistance of the Fe-C-Ti Hardfacing Alloy by Nano TiCN Particles Fabricated by FCAW-N2 authors
M. Mohammadikhah
R & D Department, Kavosh Joosh Company, Tehran, Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :