G. KARTAL, S. TIMUR
In this study, the effects of current density and bath temperature on the hardness, thickness, and morphology of boride layer are systematically investigated. The electrochemical boride coating on steel substrates is carried out at various current densities (50–700 mA/cm²) and bath temperatures (800–1000°C) at constant electrolyte composition and electrolysis time. The FeB, Fe₂B, and Fe₃B phases are detected by the x-ray diffraction method. The hardness of the boride layer reaches approximately 1800 HV on the surface and gradually decreases toward the matrix. The optimum current density and electrolyte temperature for the boriding of low-alloy steel are determined as 200 mA/cm² and 900°C, respectively.
@article{875328fa-3107-4c20-961a-e932ee5c488a,
title={Effects of Process Current Density and Temperature on Electrochemical Boriding of Steel in Molten Salts},
author={G. KARTAL and S. TIMUR},
year={2005},
language={en}
}TY - JOUR TI - Effects of Process Current Density and Temperature on Electrochemical Boriding of Steel in Molten Salts AU - G. KARTAL AU - S. TIMUR PY - 2005 LA - en ER -
The Australasian Institute of Mining and Metallurgy
This conference, held in Perth, Western Australia, focuses on the latest advancements in metallurgical processing plant design and operational strateg
David Pollard, Geoff Dunlop
The MetPlant 2008 conference focused on advancements in metallurgical processing of ores, emphasizing plant design, operation strategies, and innovati
A. Ryan, E. Johanson
The design of process plants for feasibility studies must address several key objectives, including feasibility and constructibility, while focusing o
Chiranjib Kumar Gupta
This book provides a comprehensive overview of the field of chemical metallurgy, addressing both common and less common metals. The objective of the v
Unknown, Unknown
This chapter discusses metal casting processes, highlighting the diversity and common characteristics among them. The objective is to elucidate the fu
Rajesh Jha, Bimal Kumar Jha
This book describes the application of artificial intelligence (AI) and machine learning (ML) concepts to develop predictive models that can be used t