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PREDICTING ALUMINA COMPOSITES’ MECHANICAL CHARACTERISTICS USING A MACHINE LEARNING APPROACH [PDF]

Proceedings on Engineering Sciences
Obtaining the requisite properties in alloys is crucial problem in the production of aluminium components, requiring great deal of time and effort for investigation and experimentation.
Ashwini Kumar , Arunkumar Devalapura Thimmappa , Ritesh Kumar Maharishi , Manali Gupta   +3 more
doaj   +1 more source

Optimization of Submerged Arc Welding through Voltage Variation to Achieve Superior Mechanical Properties Using P355N Base Material

Журнал інженерних наук
This study focuses on the optimization of the submerged arc welding (SAW) process through the variation of welding voltage to achieve improved mechanical properties of butt-welded joints made from P355N fine-grained low-alloy carbon steel as a material ...
B. Dorel Cioroagă, Vasile George Cioată, Ana Socalici, Emanoil Linul, Iosif Hulka, Iasmina-Mădălina Anghel   +5 more
doaj   +1 more source

Hardness Magnification for Natural Problems

IEEE Annual Symposium on Foundations of Computer Science, 2018
We show that for several natural problems of interest, complexity lower bounds that are barely non-trivial imply super-polynomial or even exponential lower bounds in strong computational models. We term this phenomenon "hardness magnification".
I. Oliveira, R. Santhanam
semanticscholar   +1 more source

Biophysical and Morphometric Characteristics of Sunflower Achenes: Implications for Industrial Processing and Byproduct Utilization

Agronomy
The main focus of industrial sunflower processing is oil production, in which the pericarp is most often treated as a byproduct or biological waste. However, sunflower pericarps have shown significant potential for alternative applications.
Jelena Ovuka, Jelena Jocković, Milan Jocković, Siniša Jocić, Sonja Gvozdenac, Miloš Krstić, Dušica Jovičić   +6 more
doaj   +1 more source

Machine Learning-Enabled Prediction and Mechanistic Analysis of Compressive Yield Strength–Hardness Correlation in High-Entropy Alloys

Metals
High-entropy alloys (HEAs) represent a paradigm-shifting material system offering vast compositional space for tailoring mechanical properties. The yield strength and hardness are critical performance metrics, yet their interrelationships in diverse HEAs
Haiyu Wan, Baobin Xie, Hui Feng, Jia Li
doaj   +1 more source

An Apparatus and Method for Determining the Hardness of Butterfat [PDF]

, 1914
A. E. Perkins
openalex   +2 more sources

Wire EDM Process of AISI 431 Martensitic Stainless Steel: A Machinability Investigation

Engineering Proceedings
The wire EDM process for AISI 431 martensitic stainless steel involves meticulously investigating its machinability. This study explores the intricate details of the machining process, considering factors such as material characteristics and cutting ...
Balasubramaniyan Chandrasekaran, Santosh Sampath, Arun Anbalagan, Vengatesh Paneerselvam, Vignesh Karthick   +4 more
doaj   +1 more source

The effect of heat treatment on the structure and hardness of CuAl10Ni5Fe4 nickel aluminium bronze

Metalurgija
The paper concerns the influence of heat treatment (annealing, quenching and aging) on the microstructure and hardness of flat bars samples from the CuAl10Ni5Fe4 alloy. The microstructures were observed in light and scanning electron microscopes.
M. Walkowicz, M. Milczanowska
doaj  

Decisive Effect of Gas Metal Arc Welding-Based Additive Manufacturing on the Bead Profile, Microstructure and Tensile Properties of Ni-Cr-Mo Components

Engineering Proceedings
This study focuses on metal inert gas welding for nickel alloy additive manufacturing using both cold metal transfer (CMT) and pulse multi control (PMT).
Aghesha M. Alwyn, A. K. Lakshminarayanan, S. R. Koteswara Rao   +2 more
doaj   +1 more source

Combinatorial Design of an Electroplated Multi-Principal Element Alloy: A Case Study in the Co-Fe-Ni-Zn Alloy System

Metals
Multi-principal element alloys (MPEAs) are at the forefront of materials science due to their large variety of compositions, which can yield unexplored properties.
Péter Nagy, László Péter, Tamás Kolonits, Attila Nagy, Jenő Gubicza   +4 more
doaj   +1 more source