Atte Antikainen, Joni Reijonen
This study investigates the impact of stress relieving temperature on the mechanical properties, residual stresses, and lattice parameter evolution of laser powder bed-fused (L-PBF) high-carbon tool steel D2. The objective was to determine the optimal stress relieving conditions to improve material performance. Methodologically, L-PBF was conducted at a preheating temperature of 360 °C, followed by heat treatment at temperatures of 550, 600, and 650 °C for two hours. The study included assessments of hardness and residual stress profiles, tensile properties, and an analysis of fracture surfaces. The results indicated that the maximum hardness achieved was 625 HV1, with a yield strength of 1441 MPa and a tensile strength of 1813 MPa at 600 °C. X-ray diffraction analysis revealed the formation of M7C3 carbides during heat treatments, which demonstrated at least partial coherence with the body-centered cubic (BCC) phase, as indicated by changes in the lattice parameter. Notably, the as-manufactured samples exhibited significant residual stresses nearing 800 MPa, which were reduced through low-temperature tempering. These findings confirm that high-carbon tool steel can be effectively manufactured with L-PBF and that substantial residual stresses can be managed with comparatively mild heat treatment.
@article{2df010a6-606a-4072-92d1-93c742b2db64,
title={The Effect of Stress Relieving Temperature on Mechanical Properties, Residual Stresses and Lattice Parameter Evolution of L-PBF High-Carbon Tool Steel D2},
author={Atte Antikainen and Joni Reijonen},
year={2022},
language={en}
}TY - JOUR TI - The Effect of Stress Relieving Temperature on Mechanical Properties, Residual Stresses and Lattice Parameter Evolution of L-PBF High-Carbon Tool Steel D2 AU - Atte Antikainen AU - Joni Reijonen PY - 2022 LA - en ER -
Robert A. Francis
This document serves as a comprehensive introduction to the metallurgy of steel and its alloys, focusing on various aspects of iron and steel manufact
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
Siddhartha Mukherjee
This book provides a comprehensive overview of the critical aspects of industrial process engineering and plant design, addressing the complexities an
Unknown, Unknown
This study focuses on the fundamental characteristics of solid iron, which is predominantly composed of iron atoms and provides a basis for understand
Ian Cameron, Mitren Sukhram
This book delves into the intricate processes involved in blast furnace ironmaking, emphasizing the analysis, control, and optimization of operations.