Acevedo, Mario

Now showing 1 - 10 of 34

Some of the metrics are blocked by your
consent settings
Dynamic Balancing of a Slider-Crank Mechanism Using Equimomental System of Point Masses
(Springer Nature Switzerland, 2025-11-18)
Neider Nadid Romero N.
;
Gonzalo Moreno Contreras
;
;
Daniel Martins
Some of the metrics are blocked by your
consent settings
Modeling Planar Flexible Linkages with Cosserat Rods and Neural Networks
(Springer Nature Switzerland, 2025-11-18)
;
;
Oscar Altuzarra
;
Victor Petuya
Some of the metrics are blocked by your
consent settings
Design, Construction and Validation of a Vibration Table with Distributed Load Cells for Dynamic Measurement
(Springer Nature Switzerland, 2025-11-18)
;
;
Some of the metrics are blocked by your
consent settings
Optimización del balanceo de un mecanismo plano mediante redistribución de masas
(2022)
;
;
;
Juan Cisneros-Barba
;
Miguel Carrasco
9 2
Some of the metrics are blocked by your
consent settings
Design and Characterization of a Miniature Bio-Inspired Mobile Robot
(2021)
;
Claudia L. Garzon-Castro
;
;
;
Amir A. Ghavifekr
This paper presents the design, implementation, and characterization of a miniature crab-like walking robot. The first prototype developed is a four-legged servomotor actuated machine that exhibits compact dimensions, low mass, and is capable of overcoming obstacles and moving on irregular terrain and confined spaces. Its bio-inspired design ensures the compliance of its locomotion mechanism even in the presence of external disturbances. The mechanical design, the implementation of the prototype, and its electronic control approach are first discussed. Next, a kinematic analysis characterizing its motion is presented. The aim of this device is to serve as an educational supporting platform for understanding robot kinematics and legged locomotion.
Scopus© Citations 6 14 1
Some of the metrics are blocked by your
consent settings
Neural network-driven interpretability analysis for evaluating compressive stress in polymer foams
(2024)
;
Héctor Plascencia-Mora
;
<jats:p> This research presents a method to analyze how neural network models, applied to Expanded Polypropylene and Expanded Polystyrene foams, predict their compressive stress responses. By using SHAP values and Partial Dependence Plots, the study elucidates the models’ decision-making processes. It focuses on three main features for both materials: density, loading rate, and strain, with an additional feature concerning loading and unloading for Expanded Polystyrene foam. The findings highlight that increased density and loading rate are closely correlated with higher compressive responses, and strain emerges as the most influential factor for the response of both materials. Partial Dependence Plots reveal a linear relationship with density, whereas other variables demonstrate non-linear relationships. These results validate the use of neural networks in analyzing material behavior, showing that the models’ outputs are in line with empirical observations. In conclusion, as presented, the integration of interpretability tools with neural network models offers a robust method for material response analysis, contributing to a deeper understanding of material science. </jats:p>
Scopus© Citations 2 15
Some of the metrics are blocked by your
consent settings
Sensibilidad paramétrica de un automóvil con polinomios de caos
(2015)
Haro-Sandoval, Eduardo
;
;
It is interesting to analyze the parameter sensitivity of mathematical models that describe physical systems, and it deserves particular attention the sensitivity study of models with uncertainty in the parameter values. Global sensitivity takes into account the entire range of parameter uncertainty because it considers the parameters as random variables. This paper presents the global sensitivity analysis in frequency of a parametric mathematical model of lateral dynamics of a vehicle model, with an approach based on the polynomial chaos expansion of the model response. This technique allows to easily represent the system as a stochastic model, where the parameters become random variables that vary according to their uncertainty. The stochastic model should be a very close approximation of the original model.
10 2
Some of the metrics are blocked by your
consent settings
Kinematic analysis and experimental validation of a tripod parallel continuum manipulator
(2024)
O. Altuzarra
;
V. Petuya
;
;
Miguel Alejandro Vizcaíno González
;
Sebastián Rodríguez Maldonado
26
Some of the metrics are blocked by your
consent settings
Balancing Conditions of the RSS’R, Spatial Mechanism
(2017)
Dynamic balancing of rigid body linkages with constant mass links is a traditional but still very active research area in mechanical engineering. It has some difficulties but the initial one is to derive the so-called balancing conditions, that are helpful to obtain different configurations for the balanced mechanism. The objective of this work is to illustrate the application of a general method to find the force and moment balancing conditions of planar and spatial linkages. It is applied for the dynamic balancing of the RSS’R spatial mechanism. The method is based on the use of Natural Coordinates so the whole system is represented only by a set of basic points, avoiding the use of angular coordinates. This facilitates obtaining the expressions for the linear momentum and for the angular momentum required to extract the shaking force and the shaking moment balancing conditions for the linkage. These conditions are interpreted and used to propose different design alternatives which can lead to a convenient design. © 2018, Springer International Publishing AG.
Scopus© Citations 1 27 1
Some of the metrics are blocked by your
consent settings
Conditions for dynamic balancing of planar parallel manipulators using natural coordinates and their application
(2015)
Scopus© Citations 4 28 1

Acevedo, Mario

Filters

Settings

Sort By

Results per page