The research on optimal design using FEM (finite elements method) analysis for ultraprecision six-axis nano-stage

2012 ◽  
Author(s):  
Nam-su Kwak ◽  
Jae-Yeol Kim
2011 ◽  
Vol 27 ◽  
pp. 349-363 ◽  
Author(s):  
Youcef Boutora ◽  
Rachid Ibtiouen ◽  
Smail Mezani ◽  
Noureddine Takorabet ◽  
Abderrezak Rezzoug

2018 ◽  
Vol 148 ◽  
pp. 02003 ◽  
Author(s):  
Aleksandr Leontev ◽  
Mikhail Aleshin ◽  
Oleg Klyavin ◽  
Alexey Borovkov

The paper is focused on development of a methodology for designing special purpose vehicles' cockpits minimizing vibration and impacts in the workspace. Finite elements method is utilized as the main tool in assessment of the structural design. The method also forms a foundation for further topology optimization, which allows for obtaining lightweight adaptable to production design fulfilling both vibration and impact requests, standards and regulations. The method has been used in designing experimental cockpit for a prospective tractor. Thus it is shown that the methodology being presented in the article can be successfully implemented in design of special purpose vehicles.


2021 ◽  
Vol 3 (9) ◽  
Author(s):  
Sebastián Irarrázaval ◽  
Jorge Andrés Ramos-Grez ◽  
Luis Ignacio Pérez ◽  
Pablo Besa ◽  
Angélica Ibáñez

AbstractThe finite elements method allied with the computerized axial tomography (CT) is a mathematical modeling technique that allows constructing computational models for bone specimens from CT data. The objective of this work was to compare the experimental biomechanical behavior by three-point bending tests of porcine femur specimens with different types of computational models generated through the finite elements’ method and a multiple density materials assignation scheme. Using five femur specimens, 25 scenarios were created with differing quantities of materials. This latter was applied to computational models and in bone specimens subjected to failure. Among the three main highlights found, first, the results evidenced high precision in predicting experimental reaction force versus displacement in the models with larger number of assigned materials, with maximal results being an R2 of 0.99 and a minimum root-mean-square error of 3.29%. Secondly, measured and computed elastic stiffness values follow same trend with regard to specimen mass, and the latter underestimates stiffness values a 6% in average. Third and final highlight, this model can precisely and non-invasively assess bone tissue mechanical resistance based on subject-specific CT data, particularly if specimen deformation values at fracture are considered as part of the assessment procedure.


1982 ◽  
Vol 14 (7) ◽  
pp. 865-867
Author(s):  
B. A. Kravchenko ◽  
V. G. Fokin ◽  
G. N. Gutman

Sign in / Sign up

Export Citation Format

Share Document