Results 21 to 30 of about 21,350 (236)
Cleaner Engineering and Technology, 2021 Inconel 718 nickel superalloys' superior properties at elevated temperatures necessitate several applications in the aviation, marine, and automotive industries.
Uma Maheshwera Reddy Paturi +2 more
doaj +1 more source
International Journal of Electrochemical Science, 2017 The electropolishing behavior of Inconel 718 alloy was studied with an alternating current (AC) impedance test at 25oC in perchloric-acetic mixed acids with different HClO4 contents.
Ching An Huang +2 more
doaj +1 more source
MetalsThe corrosion behavior of Inconel 718 alloy, developed through two different methods—forging (S1) and additive manufacturing (S2)—was evaluated in a seawater environment, and the results were compared with those of Inconel 825 alloy (S3).
Elena Ionela Neacsu +7 more
doaj +1 more source
International Journal of Electrochemical Science, 2019 In Electrochemical machining sECM), anodic dissolution process is strongly affected by the electrochemical behavior of the target metal. This study aims to improve the counter-rotating electrochemical machining (CRECM) performance of lug boss on Inconel ...
Dengyong Wang, Juchen Zhang
doaj +1 more source
High Speed Finish Turning of Inconel 718 Using PCBN Tools under Dry Conditions
Metals, 2018 Inconel 718 is a superalloy, considered one of the least machinable materials. Tools must withstand a high level of temperatures and pressures in a very localized area, the abrasiveness of the hard carbides contained in the Inconel 718 microstructure and
José Luis Cantero +4 more
doaj +1 more source
Low-temperature embrittlement of Ti-6Al-4V and Inconel-718 by high pressure hydrogen [PDF]
, 1970 Notched specimens of titanium alloy and Inconel-718 exhibit little reduction of notch strength at certain low temperatures under 2000 lb/sq in. hydrogen, unnotched specimens are not embrittled at these temperatures.
Chandler, W. T., Walter, R. J.
core +1 more source
Advanced Intelligent Systems, EarlyView.This study introduces the first inverse machine learning model to predict laser powder bed fusion process parameters for targeted surface roughness of Inconel 718 parts. Unlike prior approaches, it incorporates spatial surface characteristics for improved accuracy.
Samsul Mahmood, Bart Raeymaekers
wiley +1 more source
Virtual and Physical Prototyping, 2022 In this study, we investigate the transferability of the process-property relationship between two Inconel alloys for laser powder bed fusion (LPBF).
Cuiyuan Lu +3 more
doaj +1 more source
Cryogenic fatigue data developed for Inconel 718 [PDF]
, 1967 Data were obtained on the cryogenic fatigue properties of Inconel 718 bar using axial loading and rotating beam fatigue tests.
Schmidt, E. H.
core +1 more source
Multi objective machining estimation model using orthogonal and neural network [PDF]
, 2016 Much hard work has been done to model the machining operations using the neural network (NN). However, the selection of suitable neural network model in machining optimization area especially in multi objective area is unsupervised and resulted in ...
Sallehuddin, R. +3 more
core +1 more source