Acevedo, Mario
Main Affiliation
Preferred name
Acevedo, Mario
Official Name
Acevedo Alvarado, Mario
ORCID
0000-0002-1433-8147
Researcher ID
JMX-0350-2023
Scopus Author ID
55183765000
34 results
Now showing 1 - 10 of 34
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Item type:Publication, 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 Martins16 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Neural network-driven interpretability analysis for evaluating compressive stress in polymer foams(2024); ;Plascencia Mora, Héctor<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 18 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Design of Reactionless Mechanisms with Counter-Rotary Counter-MassesIn this chapter a new method to find the force and moment balancing conditions based on Natural Coordinates is introduced. The method is simple and can be highly automated, it is very prone to be used in combination with a system for the manipulation of symbolic expressions. These conditions can be interpreted and used for the creation of dynamic balanced linkages by design. The application of the method is demonstrated through the dynamic balancing of a simple pendulum (open-loop linkage) and a general four-bar mechanism (closedloop linkage), particularly by the design of counter-rotary counter-masses applying optimization. The resulting designs are presented and their virtual prototypes simulated using a general multibody dynamics simulation software (ADAMS), specifying the resulting geometry (dimensions), shaking force, shaking moment, and driving torque. © Springer International Publishing Switzerland 2016.Scopus© Citations 2 2 14 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Modeling Planar Flexible Linkages with Cosserat Rods and Neural Networks(Springer Nature Switzerland, 2025-11-18); ; ;Oscar AltuzarraVictor Petuya29 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, 1 13Scopus© Citations 4 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, 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.1Scopus© Citations 1 18 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Uncertainty quantification of hyperelastic models for polystyrene and polypropylene foams via conformal prediction(IOP Publishing, 2026-05-04); ;Plascencia-Mora, Héctor13 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Optimización del balanceo de un mecanismo plano mediante redistribución de masas(2022); ; ; ;Juan Cisneros-BarbaMiguel Carrasco2 21 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, 1 14 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, 1 6Scopus© Citations 4
