Abstract

For the calculation of silos structures it has been used new methods and computational tools that require mechanical properties knowledge that are still unknown for most storable materials, especially grains. In this context, we aimed to determine the mechanical properties of rice and beans grains with moisture contents of 10, 12, and 14% by applying four compressive loads (5, 10, 15 and 20). The determined mechanical properties were Poisson's ratio (ν), Modulus of Elasticity (E), and the dilatancy angle (ψ). The procedure consisted in the application of the load in compression cell, adapted from MOLENDA & STASIAK, aiming to simulate loading and unloading of silos. We observed that the Poisson's ratio calculated for both loading and unloading, presented higher values than the experimental values, with the increase of their moisture content; the experimental elastic modulus presented higher values than the calculated ones, and both increased their values with the increase of their moisture content; the dilatancy angle decreased with the increase of moisture content and compressive loads.

Highlights

  • The storage, handling and processing of granular products are necessary procedures in various industrial sectors and are interesting to various sciences and technology braches, such as physics, chemistry, mechanics, agriculture and engineering

  • RAMÍREZ et al (2010) ensure that the data about the mechanical properties as modulus of Elasticity (E), Poisson's ratio (ν) and the dilatancy angle (ψ) of the storable products are important to these simulation tools

  • The lowest values were found in grain with moisture content of 12%, indicating less resistance to fracture in this moisture

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Summary

Introduction

The storage, handling and processing of granular products are necessary procedures in various industrial sectors and are interesting to various sciences and technology braches, such as physics, chemistry, mechanics, agriculture and engineering. The use of numerical simulation tools on previous studies has as main focus the improvement in the transport processes and handling of storable products. For these simulations to be carried out is necessary to know the mechanical properties of these products and their behaviour during rupture. Values found by various methods or even assuming values from other properties, which may result in inaccuracies in the current models

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