Dokumentdetails
ID
oai:arXiv.org:2310.00471
Thema
Condensed Matter - Materials Scien...Autor
Islam, Toushiqul Aziz, Md Samin Ashiq Fardin, Sadib Faiyad, Abrar Motalab, MohammadKategorie
Condensed Matter
Jahr
2023
Auflistungsdatum
14.10.2023
Schlüsselwörter
rates am study rate inconel-718Zusammenfassung
Inconel-718's compatibility with additive manufacturing (AM) has made it a center of attention for researchers.
This paper focuses on how cooling rates affect the hardness of AM Inconel-718.
To study the AM process, monocrystalline and polycrystalline Inconel-718 layers were added to a pristine substrate and equilibrated at 2000 K before being cooled to 300 K using cooling rates ranging from 5 K/ps to 100 K/ps, as well as an exponential cooling rate.
The layers were then subjected to atomistic nanoindentation simulation to analyze the nanomechanical response, including hardness, dislocation density, microstructure, and surface imprints, at different cooling rates.
Load-displacement (P-h) curves were plotted for each cooling rate.
The findings of this study provide crucial insights into the effect of cooling rate on the nanoindentation-based response of additively manufactured Inconel-718.
These insights can aid in the design of high-performance components for various applications
Islam, Toushiqul,Aziz, Md Samin Ashiq,Fardin, Sadib,Faiyad, Abrar,Motalab, Mohammad, 2023, Atomistic study on cooling rate induced nanoindentation properties of Additively Manufactured Inconel-718
SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models
methods salience efficiency quantization language slim-llm llms
Prediction Models for Suicide Attempts among Adolescents Using Machine Learning Techniques
using data ml prediction 0 suicide adolescents
