Steel surface defect diagnostics using deep convolutional neural network and class activation map
Steel defect diagnostics is considerably important for a steel-manufacturing industry as it is
strongly related to the product quality and production efficiency. Product quality control …
strongly related to the product quality and production efficiency. Product quality control …
Deep learning approaches to image texture analysis in material processing
Texture analysis is key to better understanding of the relationships between the
microstructures of the materials and their properties, as well as the use of models in process …
microstructures of the materials and their properties, as well as the use of models in process …
[HTML][HTML] Surface topography analysis based on fatigue fractures obtained with bending of the 2017A-T4 alloy
This work deals with the post-failure analysis of the fatigued fracture in the context of surface
topography parameters. The influence of material isotropy on fatigue fractures using …
topography parameters. The influence of material isotropy on fatigue fractures using …
Automatic grain size determination in microstructures using image processing
H Peregrina-Barreto, IR Terol-Villalobos… - Measurement, 2013 - Elsevier
In microstructure analysis, the grain size determination is an important task. However, it
takes a long time when it is made manually. Nowadays, automatic techniques for grain size …
takes a long time when it is made manually. Nowadays, automatic techniques for grain size …
Post-failure fracture surface analysis of notched steel specimens after bending-torsion fatigue
W Macek - Engineering Failure Analysis, 2019 - Elsevier
This paper contains analysis of fatigue fracture surfaces parameters of circumferential v-
notched 10HNAP (S355J2G1W) steel specimens. Fatigue tests were performed under …
notched 10HNAP (S355J2G1W) steel specimens. Fatigue tests were performed under …
Distributed defect recognition on steel surfaces using an improved random forest algorithm with optimal multi-feature-set fusion
Inspecting steel surfaces is important to ensure steel quality. Numerous defect-detection
methods have been developed for steel surfaces. However, they are primarily used for local …
methods have been developed for steel surfaces. However, they are primarily used for local …
Identification and characterization of fracture in metals using machine learning based texture recognition algorithms
Manual identification of brittle and ductile fracture regions in fractographic images of metals
is cumbersome, time-consuming, and can be a subjective process. A supervised machine …
is cumbersome, time-consuming, and can be a subjective process. A supervised machine …
[HTML][HTML] Classification of damages in composite images using Zernike moments and support vector machines
In this work, the strength of the composite material is tested and the damages are classified
using supervised method. The image is obtained from the front and rear sides of the …
using supervised method. The image is obtained from the front and rear sides of the …
Combining fractal and topological analyses to quantify fracture surfaces in additively manufactured Ti-6Al-4V
IJ Wietecha-Reiman, A Segall, X Zhao… - International Journal of …, 2023 - Elsevier
Quantitative fractography has been hindered by the lack of tools capable of accurately
characterizing fracture modes and crack initiation locations. An easily implementable, non …
characterizing fracture modes and crack initiation locations. An easily implementable, non …
Progress toward autonomous experimental systems for alloy development
Historically, the advent of robotics has important roots in metallurgy. The first industrial robot,
Unimate, was used by General Motors to handle hot metal—transporting die castings and …
Unimate, was used by General Motors to handle hot metal—transporting die castings and …