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

Acta Mechanica, Год журнала: 2024, Номер unknown

Опубликована: Сен. 25, 2024

Язык: 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, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 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.

Язык: Английский

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

Software Impacts, Год журнала: 2024, Номер unknown, С. 100739 - 100739

Опубликована: Дек. 1, 2024

Язык: Английский