five

Study of Laboratory-Made Lignocellulosic Insulation Fiberboards Modification - Under-Fire Properties

收藏
DataCite Commons2026-03-02 更新2026-05-04 收录
下载链接:
https://repod.icm.edu.pl/citation?persistentId=doi:10.18150/AEFP2D
下载链接
链接失效反馈
官方服务:
资源简介:
This collection contains data obtained during flammability tests of wood-based materials - fibreboards pressure-impregnated and/or coated, including measurements of combustion and thermal changes. Variants included: (1) unmodified reference fiberboards, (2) fiberboards coated with casein only, (3) fiberboards that were pressure-im pregnated with rapeseed or (4) soy lecithin, and (5, 6) fiberboards that were both pressureimpregnated with lecithin and coated with casein. The data was recorded using a test stand equipped with a burner mounted on a guide controlled by a stepper motor, a laboratory scale, a USB camera, and a thermal imaging camera. The entire setup was controlled by an ESP32 microcontroller and dedicated software.The ZIP files (without _output in name) contain image sequences showing the combustion of wood-based panels (from a USB camera located in the stand). {*_output.zip} files contain output from FrIC software - images with marked burn areas.TXT files contain additional measurement information, such as the change in sample mass over time, burner position, and temperature on the side opposite the flame (data from the thermal imaging camera). The data was collected simultaneously from all measuring devices and time-synchronized (for publication purposes) using a set of analytical tools (FrAnK, FrAnCs, FrIC, and FrAg).The collected information enables analysis of ignition, fire spread, and heat transfer processes in various types of wood-based panels, such as MDF, LDF, OSB, and plywood. The dataset also includes image processing elements, including masking and perspective correction, which allows for more accurate delineation of burnt areas. Detailed information on the data structure and interpretation is provided in the README file.
提供机构:
RepOD
创建时间:
2025-11-30
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作