<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Presented work describes the use of algorithm for the computation of thermo-elastic properties of randomly reinforced composite which is based on histogram from image analysis done on ITAM, CAS. Three polished samples from “Bearing” part were analyzed. Results are used for verification of the algorithm functionality and primarily for computation of thermo-elastic properties which were compared with each other and used in modified FE analysis.</p></abstract>

Presented work describes the use of algorithm for the computation of thermo-elastic properties of randomly reinforced composite which is based on histogram from image analysis done on ITAM, CAS. Three polished samples from “Bearing” part were analyzed. Results are used for verification of the algorithm functionality and primarily for computation of thermo-elastic properties which were compared with each other and used in modified FE analysis.

Analysis of Mechanical Properties of the “Bearing” Part Based on Polished Samples

Faculty of Mechanical Engineering, Czech Technical University in Prague

Department of Mechanics, Biomechanics and Mechatronics

Strojnícky časopis - Journal of Mechanical Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Presented work describes the use of algorithm for the computation of thermo-elastic properties of randomly reinforced composite which is based on histogram...

Analysis of Mechanical Properties of the “Bearing” Part Based on Polished Samples

Online veröffentlicht: 18. Nov. 2017

Seitenbereich: 85 - 90

DOI: https://doi.org/10.1515/scjme-2017-0021

Schlüsselwörter
Image Processing, Monte Carlo, Random Reinforcement

© 2017 Zdeněk Padovec et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Analysis of Mechanical Properties of the “Bearing” Part Based on Polished Samples

Online veröffentlicht: 18. Nov. 2017

Seitenbereich: 85 - 90

DOI: https://doi.org/10.1515/scjme-2017-0021

SchlüsselwörterImage Processing, Monte Carlo, Random Reinforcement

© 2017 Zdeněk Padovec et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Schlüsselwörter
Image Processing, Monte Carlo, Random Reinforcement