material deformation
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Author(s):  
Mykola M. Tkachuk

The paper describes the developed statistically averaged models of deformation of materials with a random network structure of differently oriented fibers. New methods of stress-strain analysis and micromacromechanical models of material deformation in the volume of bodies made of material with a network structure taking into account structural and physical nonlinearities have been created. These models are based on the micromechanics of network structures at the level of statistical sets of their chains. The novelty of approaches, models, methods and results is the creation of theoretical foundations for the analysis of the deformation of non-traditional network materials. Nonlinear mathematical models of material deformation in the form of a chaotic network structure of one-dimensional fragments are proposed, which are constructed involving fundamentally new approaches to the description of physical and mechanical properties at the micro level of statistical sets of fiber chains and spatial homogenization of their macroproperties. Compared to traditional models, they more adequately model the features of material deformation in the form of spatial chaotic and ordered network structures, as they do not involve a number of additional non-physical hypotheses. This creates fundamentally new opportunities not only for analyzing the properties of such materials, but also when creating new ones with specified properties. Using the created methods, models and research tools, the basis for solving a number of model and applied problems has been created. The nature of deformation of non-traditional materials with a network structure of one-dimensional elements is determined. The macro-properties of these materials are established on the basis of the developed micromechanical models, variational formulations and averaging methods. Keywords: stress-strain state, network structures, contact interaction, finite element method, contact pressure, machine parts, variational formulation


2021 ◽  
Author(s):  
E. Enkelmann ◽  
S. Falkowski

All peak fitting results from this study and previously published catchments (Table S1) and the single-grain data of the new data (Table S2).


2021 ◽  
Author(s):  
E. Enkelmann ◽  
S. Falkowski

All peak fitting results from this study and previously published catchments (Table S1) and the single-grain data of the new data (Table S2).


2021 ◽  
Vol 106 ◽  
pp. 103370
Author(s):  
Prasanta Sarkar ◽  
Giovanni Ghigliotti ◽  
Jean-Pierre Franc ◽  
Marc Fivel

2021 ◽  
Author(s):  
Manman Yang ◽  
Leijian Yu ◽  
Cuebong Wong ◽  
Carmelo Mineo ◽  
Erfu Yang ◽  
...  

Composite materials are widely used because of their light weight and high strength properties. They are typically made up of multi-directional layers of high strength fibres, connected by a resin. The manufacturing of composite parts is complex, time-consuming and prone to errors. This work investigates the use of robotics in the field of composite material manufacturing, which has not been well investigated to date (particularly in simulation). Effective autonomous material transportation, accurate localization and limited material deformation during robotic grasping are required for optimum placement and lay-up. In this paper, a simulation of a proposed cooperative robotic system, which integrates an autonomous mobile robot with a fixed-base manipulator, is presented. An approach based on machine vision is adopted to accurately track the position and orientation of the fibre plies. A simulation platform with a built-in physics engine is used to simulate material deformation under gravity and external forces. This allows realistic simulation of robotic manipulation for raw materials. The results demonstrate promising features of the proposed system. A root mean square error of 9.00 mm for the estimation of the raw material position and 0.05 degrees for the fibre orientation detection encourages further research for developing the proposed robotic manufacturing system.


2021 ◽  
Vol 105 ◽  
pp. 103327
Author(s):  
Prasanta Sarkar ◽  
Giovanni Ghigliotti ◽  
Jean-Pierre Franc ◽  
Marc Fivel

2021 ◽  
Author(s):  
Michel Bestmann ◽  
et al.

Methods, twinning in quartz, and Japan-Law twin symmetry test.<br>


2021 ◽  
Author(s):  
Michel Bestmann ◽  
et al.

Methods, twinning in quartz, and Japan-Law twin symmetry test.<br>


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