Technical vision system for analysing the mechanical characteristics of bulk materials

被引：5

作者：

Boikov, A. V. ^{[1
]}

Payor, V. A. ^{[1
]}

Savelev, R. V. ^{[1
]}

机构：

[1] St Petersburg Min Univ, 21 Line VO, St Petersburg 199106 2, Russia

来源：

XI INTERNATIONAL SCIENTIFIC AND TECHNICAL CONFERENCE - APPLIED MECHANICS AND DYNAMICS SYSTEMS | 2018年 / 944卷

关键词：

D O I：

10.1088/1742-6596/944/1/012021

中图分类号：

O3 [力学];

学科分类号：

08 ; 0801 ;

摘要：

In this article actual topics concerned with mechanical properties of bulk materials, usage of computer vision and artificial neural networks in this research are discussed. The main principles of the system for analysis of bulk materials mechanical characteristics are described. Bulk material outflow behaviour with predefined parameters (particles shapes and radius, coefficients of friction, etc.) was modelled. The outflow was modelled from the calibrated conical funnel. Obtained dependencies between mechanical characteristics and pile geometrical properties are represented as diagrams and graphs.

引用

页数：6