Results 131 to 140 of about 277,827 (338)

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

On the Lightweight Potential of Laser Additive Manufactured NiTi Triply Periodic Minimal Sheet Lattices

Advanced Engineering Materials, EarlyView.
This study explores the lightweight potential of laser additive‐manufactured NiTi triply periodic minimal surface sheet lattices. It systematically investigates the effects of relative density and unit cell size on surface quality, deformation recovery, compression behavior, and energy absorption.
Haoming Mo, Shuo Qu, Shiming Gao, Xu Song   +3 more
wiley   +1 more source

Innovative Processing of Compacted Waste Aluminum Alloy Powders via Controlled Remelting and Solidification

Advanced Engineering Materials, EarlyView.
This study demonstrates an efficient recycling route for out‐of‐spec AlSi10Mg atomized powders through compaction and arc remelting followed by suction casting. By correlating compaction load, cooling rate, and resulting microstructure, we show that intermediate pressures (50–80 kN) and rapid cooling refine dendrites, reduce porosity, and enhance ...
Mila Christy de Oliveira, Marcella Gaute Cavalcante Xavier, Abdoul‐Aziz Bogno, Piter Gargarella, José Eduardo Spinelli   +4 more
wiley   +1 more source

A just-in-time software defect prediction method based on data augmentation

Nantong Daxue xuebao. Ziran kexue ban
Just-in-time (JIT) software defect prediction aims to predict whether code commits during project development and maintenance will introduce defects.In the field of JIT software defect prediction research,model training relies on high-quality datasets ...
YANG Fan; XIA Hongling
doaj   +1 more source

Graph-based machine learning improves just-in-time defect prediction. [PDF]

PLoS One, 2023
Bryan J, Moriano P.
europepmc   +1 more source

Influence of Sample Preparation and Processing Procedures on the Thermal Diffusivity of MgO‐C Refractories

Advanced Engineering Materials, EarlyView.
The thermal diffusivity of MgO‐C refractories is highly sensitive to sample preparation and processing procedures. In this article, the effects of coking sequence, machining conditions, structural inhomogeneity, and graphite coating application on measurements using laser flash apparatus are systematically investigated.
Luyao Pan, Rhena Wulf, Till M. J. Stadtmüller, Christos G. Aneziris, Tobias M. Fieback   +4 more
wiley   +1 more source

Deep Learning-Based Defect Prediction for Mobile Applications. [PDF]

Sensors (Basel), 2022
Jorayeva M, Akbulut A, Catal C, Mishra A.   +3 more
europepmc   +1 more source

Aligned metric representation based balanced multiset ensemble learning for heterogeneous defect prediction

, 2022
Haowen Chen, Xiao‐Yuan Jing, Yuming Zhou, Bing Li, Baowen Xu   +4 more
openalex   +1 more source

Microstructural Evolution and Vacancy Defect Formation in Mn–Mo–Ni RPV Steel Under Low Cycle Fatigue: Insights From EBSD and PALS

Advanced Engineering Materials, EarlyView.
Low‐cycle fatigue damage in Mn–Mo–Ni reactor pressure vessel steel is examined using a combined electron backscatter diffraction and positron annihilation lifetime spectroscopy approach. The study correlates texture evolution, dislocation substructure development, and vacancy‐type defect formation across uniform, necked, and fracture regions, providing
Apu Sarkar, Dhanadeep Dutta, G. Bharat Reddy   +2 more
wiley   +1 more source

Tibial bone defect prediction based on preoperative artefact-reduced CT imaging is superior to standard radiograph assessment. [PDF]

Knee Surg Sports Traumatol Arthrosc, 2023
Brenneis M, Flevas DA, Bornes TD, Braun S, Meurer A, Sculco PK, Quevedo-González FJ, Boettner F.   +7 more
europepmc   +1 more source