SinoTechIntel Academic Portal
Open AccessDOI: 10.1007/s11771-025-6025-0Original Research

Effects of alloying elements M (Mn, Cr, Mo, Ni, Cu, and Si) on interface behavior of TiC(002)/Fe(011)

LI Jia-xin¹,HOU Guang-xin¹,JIA Peng¹,HU Li-hua¹,WANG Li-quan¹,WANG Xiang¹

Harbin Engineering University, Harbin, China

Read Executive PreviewQuick FAQ
Effects of alloying elements M (Mn, Cr, Mo, Ni, Cu, and Si) on interface behavior of TiC(002)/Fe(011)
Graphical Abstract / Figure
Published In
Journal of Central South University
Published:November 19, 2025Edition:Vol. 32, Issue 11 • pp. 602-614Citation:LI Jia-xin et al. (2025), Journal of Central South University
Impact Factor4.4 (Q1 - Springer)
Sponsored Research Partner
Keywords & Index Terms:TiC particle-reinforced steel matrix compositesalloying elementsinterface behaviorfirst-principles calculationsco-doping Ni-Momechanical propertiesinterfacial bondinglow-alloy steel

Key Takeaways & Executive Findings

  • • Single-doping with Mn, Cr, and Mo improves TiC/Fe interface stability and tensile strength, while Ni, Cu, and Si reduce them. • Co-doping Ni-Mo enhances binding energy and separation work at the interface, significantly improving interfacial bonding. • The TiC(002)/Fe(011) interface is continuous and stable, providing a reliable basis for alloying design in composites. • Incorporating Mn, Cr, Mo, and Ni in the matrix is recommended to enhance the overall mechanical properties of TiC-reinforced low-alloy steel matrix composites.
Sponsored Research Highlight

Abstract

Improving interfacial bonding and alloying design are effective strategies for enhancing mechanical properties of particle-reinforced steel matrix composites (SMCs). This study prepared SMCs with uniformly distributed TiCP in matrix using master alloying method. The TiC(002)/Fe(011) interface model was established based on the orientation relationship of (011)Fe//(002)TiC, and [100]Fe//[100]TiC. The effects of single and co-doping of alloying elements (Mn, Cr, Mo, Ni, Cu and Si) on the interface bonding behavior of TiC/Fe in composites were investigated in conjunction with first-principles. The results demonstrate that the interface between TiC and matrix is continuous and stable. Compared to the undoped TiC/Fe interface, single-doping Mn, Cr, and Mo can improve the stability of TiC/Fe interface and enhance tensile strength. Conversely, single-doping with Ni, Cu, and Si reduced the interface stability and marginally reduces tensile strength. Relative to the undoped and singly Ni-doped TiC/Fe interfaces, the co-doping Ni-Mo boosts binding energy and separation work at the TiC/Fe interface, which is conducive to the interface bonding between TiCP and matrix, and thus improves the mechanical properties of composites. Thus, in the alloying design of TiC particle-reinforced low-alloy SMCs, incorporating Mn, Cr, Mo, and Ni into matrix can enhance the overall mechanical properties of composites.

1. Introduction

Low-alloy steel has been widely used in offshore engineering and can manufacture large-scale key components. However, its performance fluctuation becomes obvious as the strength of the steel increases and its yield ratio is still higher [1−4]. An effective way of improving the mechanical properties of steel materials is to add trace amounts of ceramic particles to the steel matrix [5, 6]. TiC particles are a more common reinforcement in carbon steel, corrosion-resistant alloys, and high-temperature alloys due to their ease of preparation, low mismatch with the iron matrix, good wettability, and high thermal stability [7, 8]. So, in this paper, TiC particles were chosen to fabricate steel matrix composites.

Typically, optimization of the preparation process, matrix alloying, and heat treatment are the main methods used to improve the properties of composite materials [9]. The alloying elements can greatly influence the properties of non-heat-treated composites. LI et al [10] found that TiC(Mo)-high Mn steel composites exhibited superior transverse rupture strength and impact toughness compared to free-Mo TiC-high Mn steel composites. LIN et al [11] pointed out that the pitting resistance of TiC/316L composites prepared by powder metallurgy in the NaCl solution was gradually increased with the increase of Mo content. LI et al [12] also found that the oxidation resistance of TiC-reinforced steel matrix composites was improved with increased Cr content, and the internal oxidation was suppressed. LI et al [13] found that adding 3 wt% Cr and 0.5 wt% Mo simultaneously increased the pitting resistance of TiC-reinforced steel matrix composites at high temperatures in terms of strength and impact toughness. Therefore, it is evident that optimizing the composition of the steel matrix improves the overall performance of steel matrix composites.

Furthermore, interface bonding critically impacts the properties of the particle-reinforced steel matrix composites [14, 15]. The mechanism of alloying elements

SinoTechIntel Interactive Document Reader
Page 1–5 of Preview
100%
Download Full PDF

Loading authentic research manuscript (Pages 1–5)...

Sponsored Research Partner
Cite This Research Paper
LI Jia-xin, HOU Guang-xin, JIA Peng, HU Li-hua, WANG Li-quan, WANG Xiang (2025). Effects of alloying elements M (Mn, Cr, Mo, Ni, Cu, and Si) on interface behavior of TiC(002)/Fe(011). Journal of Central South University. https://doi.org/10.1007/s11771-025-6025-0
SinoTechIntel Academic & Legal Disclaimer

Research & Educational Purpose Only:The translations, structured abstracts, analytical annotations, and data reports provided by SinoTechIntel are intended exclusively for academic research, internal corporate R&D, and educational benchmarking. They do not constitute formal engineering, chemical safety, legal, or professional advice.

Copyright & Intellectual Property Notice: Original copyright of the underlying source articles and experimental data remains with the respective authors, institutions, and original publishing journals. SinoTechIntel claims intellectual property only over its proprietary translations, analytical syntheses, and AEO structured enhancements in accordance with international fair use and academic citation principles.

Frequently Asked Questions

What are the effects of alloying elements on the TiC/Fe interface in steel matrix composites?

The study found that single-doping with Mn, Cr, and Mo improves interface stability and tensile strength, while Ni, Cu, and Si reduce them. Co-doping Ni-Mo enhances binding energy and separation work, improving interfacial bonding.

How is the TiC(002)/Fe(011) interface model established?

The interface model is based on the orientation relationship of (011)Fe//(002)TiC and [100]Fe//[100]TiC, and investigated using first-principles calculations.

Which alloying elements are recommended for enhancing mechanical properties of TiC-reinforced low-alloy steel?

Incorporating Mn, Cr, Mo, and Ni into the matrix can enhance overall mechanical properties, particularly with co-doping of Ni and Mo.

What method was used to prepare the steel matrix composites?

The composites with uniformly distributed TiC particles (TiCP) were prepared using a master alloying method.

Does co-doping Ni-Mo always improve the interface stability?

Yes, relative to undoped and singly Ni-doped interfaces, co-doping Ni-Mo boosts binding energy and separation work at the TiC/Fe interface, which is conducive to interface bonding.

Recommended Scientific Literature & Research Partners

Related Technical Papers & Translations

Research Paper
Design and optimization of a high-efficiency distillation process for cellulosic fuel ethanol integrated with thermal coupling and molecular sieve adsorption

Design and optimization of a high-efficiency distillation process for cellulosic fuel ethanol integrated with thermal coupling and molecular sieve adsorption

To address the challenges of high energy consumption and prominent costs in the traditional three-columns distillation process for cellulosic fuel ethanol, a distillation—molecular sieve coupling separation process is proposed. This process integrates a three-column (crude distillation column, first distillation column, second distillation column) system with a 3A molecular sieve adsorption deep dehydration unit. A thermal coupling network is constructed via differential pressure design (steam from medium/high-pressure columns as mutual heat sources, reboiler liquid waste heat for feed preheating), and molecular sieve adsorption conditions are optimized. The study first performs a thermodynamic consistency test on the ethanol—water system, determines optimal non-random two-liquid (NRTL) model binary interaction parameters via experimental data regression for Aspen Plus simulation. Aiming at minimum total annual cost (TAC), Aspen Plus is used to optimize process parameters (theoretical tray number, feed location, reflux ratio, side-draw position, etc.). Economic analysis shows this process reduces CO2 emission costs by 27.56%, TAC by 15.58% (to 5.123 × 106 USD·a-1), and increases ethanol purity to >99.6%, providing an effective solution for green, efficient separation.

Read Abstract & PDF
Research Paper
A cohesion loss model for determining residual strength of deep bedded sandstone

A cohesion loss model for determining residual strength of deep bedded sandstone

Rock residual strength, as an important input parameter, plays an indispensable role in proposing the reasonable and scientific scheme about stope design, underground tunnel excavation and stability evaluation of deep chambers. Therefore, previous residual strength models of rocks established were reviewed. And corresponding related problems were stated. Subsequently, starting from the effects of bedding and whole life-cycle evolution process, series of triaxial mechanical tests of deep bedded s

Read Abstract & PDF
Research Paper
Federated model with contrastive learning and adaptive control variates for human activity recognition

Federated model with contrastive learning and adaptive control variates for human activity recognition

Recent attention to privacy issues demands a communication-safe method for training human activity recognition (HAR) models on client activity data. Federated learning (FL) has become a compelling technique to facilitate model training between the server and clients while preserving data privacy. However, classical FL methods often assume independent and identically distributed (IID) data among clients. This assumption does not hold true in practical scenarios. Human activity in real-world scena

Read Abstract & PDF