Data-driven machine learning for pattern recognition and detection of loosening torque in bolted joints
JS Coelho, MR Machado, M Dutkiewicz… - Journal of the Brazilian …, 2024 - Springer
One of the primary challenges associated with bolts, frequently used in assembly structures
and systems, is the issue of torque loosening. This problem can arise due to shock and …
and systems, is the issue of torque loosening. This problem can arise due to shock and …
Two-phase optimized experimental design for fatigue limit testing
This study proposes an innovative Two-phase method, based on the Langlie method and
the D-optimality criterion, to overcome the intrinsic shortcomings of the staircase method …
the D-optimality criterion, to overcome the intrinsic shortcomings of the staircase method …
[HTML][HTML] Computerized Generation of Endodontic Files by Reproducing the Flute Grinding Manufacturing Process
V Roda-Casanova, A Pérez-González - Bioengineering, 2024 - mdpi.com
Background: File fracture during root canal treatment in endodontics is a major concern for
clinicians. The strength of the file is strongly dependent on its geometry, material, and …
clinicians. The strength of the file is strongly dependent on its geometry, material, and …
Probabilistic fatigue limit assessment and improvement by experimental and numerical tests
L Shi - 2023 - theses.hal.science
This work is devoted to the improvement of the estimation of the mean and standard
deviation of the fatigue limit from experimental tests and numerical simulations using a …
deviation of the fatigue limit from experimental tests and numerical simulations using a …
[HTML][HTML] PyMLDA: A Python open-source code for Machine Learning Damage Assessment
J da Silva Coelho, MR Machado, AASR de Sousa - Software Impacts, 2024 - Elsevier
Abstract The PyMLDA-Machine Learning for Damage Assessment is an open-source
software developed for damage pattern recognition, detection, and quantification that uses …
software developed for damage pattern recognition, detection, and quantification that uses …
[PDF][PDF] Probabilistic fatigue limit assessment and improvement by experimental and numerical tests
SHI Lujie - researchgate.net
This work is devoted to the improvement of the estimation of the mean and standard
deviation of the fatigue limit from experimental tests and numerical simulations using a …
deviation of the fatigue limit from experimental tests and numerical simulations using a …