Characterization of a composite based on Cissus dinklagei tannin resin.

The tannin extract of Cissus dinklagei was used in the preparation of a 3 % paraformaldehyde resin for the manufacture of particleboard. This tannin is of the procyanidin type associated with furan residues. The modulus of elasticity of the resin obtained after the thermomechanical analysis is 3825 MPa. The TGA performed on the panels obtained shows three degradation zones with a thermal stability zone between 74 and 210 °C. These panels have good thermomechanical properties. The values of the best density, internal bond, modulus of elasticity in flexion (MOE) and resistance to flexion (MOR) are respectively 658 kg/m3; 0.52 MPa; 2035.4 MPa; 16.3 MPa. These results classify this panel for generalinterior construction and furniture uses according to the NF EN 312 standard.

Predictive analysis of the value of information flow on the shop floor of developing countries using artificial neural network based deep learning.

To facilitate the continuous improvement of performance and the management of information flow (MIF) for production and manufacturing purposes on the shop floor of developing countries, there is a need to characterize information flow that will be shared during the process. MIF provides a key performance shop floor metric called the value of information flow (VIF). Previous methods have been used to analyze VIF in developed countries. However, these methods are sometimes limited when applied to developing countries where the shop floor is disorganized. It then renders the MIF with the imported software inefficient because of the gap between the user environments. Taking Cameroon as a case study, this study proposes a new method of modeling and analyzing the information flow and its value based on the characteristics of information flow (CIF) for developing countries. In addition, a predictive analysis of the VIF based on CIF using an artificial neural network (ANN) on one hand and optimized ANN with particle swarm optimizer (PSO) and genetic algorithms (GA) on the other is performed. The ANN model of regression developed has the following performance: coefficient of determination: 0.99 and mean squared error (MSE): 0.00043. For the PSO-ANN, the MSE decreased to 0.00011, and this model result was similar to that of the deep learning model used for regression. The GA-ANN model results were not as satisfactory as those of the PSO-ANN model. A predictive system to analyze VIF is proposed for managers of companies in developing countries.

Data on the estimation of thermomechanical damage for fired clay bricks.

Fired bricks are on high demand in building constructions because of their cheapness, appearance, robustness, isolation achievement and sustainability. To make fired bricks, Constructions and eco-friendly sector used clay materials. However, the major challenge in their utilization is their thermal and mechanical behavior after exposure. Problems occur mainly when permanently subjected to increased temperature which severely influence its durability, and in this case an overall failure mode calculation is essential. In this work a simple approach based on the Unified Strength Theory (UST) criterion was used to estimate the thermomechanical damage. Results of thermomechanical damage values are shown.

A coupled thermo-mechanical damage model for fired clay bricks based on the unified strength theory.

On the rise request for long-lasting materials, clay materials are in between the well-nigh minerals exploited by production and ecological fields in the making of fired bricks. Clay incessantly expounded to high temperature reacts differently at ambient temperature which critically touches its longevity. In present study, a coupled thermo-mechanical damage model of clay is established. In this model, the Unified Strength Theory (UST) criterion is used as the failure criterion based on the Weibull distribution and the continuous damage theory. The proposed model is validated by uniaxial compression experiment of high-temperature clay. The variation of the two distribution factors (m and W0) in the combined TM damage relationship with temperature is analysed. The results show that the damage evolvement speed of the clay shows a curving form getting closed to one as the temperature rises, indicating that the temperature can delay the development of cumulative damage. The damage fundamental modelling discussed is in accord with the testings curves at the various phases of yielding and pre-apex force. This study leads to an enhanced understanding of high temperature clay mechanics and affords the fundament to heighten clay bricks resourcefulness lastingness.