Efficient damage prediction and sensitivity analysis in rectangular welded plates subjected to repeated blast loads utilizing deep learning networks

Acta Mechanica, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 25, 2024

Language: Английский

Improving mechanical properties of 3D printed products through honeycomb structure and deep learning optimization

Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 4, 2024

The use of three-dimensional (3D) Printing has rapidly grown due to its various applications in daily life. However, products made with this technology are not widely adopted because their quality is yet seen as equal that traditional materials. To address issue, a honeycomb structure model was developed improve the mechanical properties items created using 3D printing technology. This only saves materials, but also reduces time compared previous models. designed theoretical model, and components were modified ensure compatibility extrusion method. Moreover, deep learning used optimise model’s boundary conditions by generating contour curves through linear interpolation. process significantly improved strength structures findings validated material tensile tests conducted under different scenarios. As result, can be industries technology, thanks critical role improving properties.

Language: Английский

SGML: A Python library for solution-guided machine learning method

Software Impacts, Journal Year: 2024, Volume and Issue: unknown, P. 100739 - 100739

Published: Dec. 1, 2024

Language: Английский