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, Scopus© Citations 2 2 10 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Multibody dynamics for human-like locomotion(2020); Multibody dynamics has been a fundamental tool for modeling, simulation and design of human-like locomotion systems. Either in the prosthetic and orthotics sector to develop devices for improvement or restoration of mobility, or as in the simulation, design, and optimization of humanoid robots. A lot of research and development has been done in these challenging areas where new mechanisms and improvements in dynamics are always welcome. The dynamic balancing of mechanisms (force and moment balancing at the fixed base) is an area that, along with multibody dynamics, can help to improve the design of human-like locomotion systems. In this chapter, the application of a force-balanced mechanism is proposed as a leg to be part of a biped robot. Stability is analyzed through the application of learning approaches based on an artificial intelligence, namely artificial hydrocarbon networks. Modeling and results from multibody dynamics simulation are presented. © 2020 Elsevier Inc. All rights reserved.1 10Scopus© Citations 1 - 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); 13 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Modeling of compressive stress in AlSi10Mg alloys using feed-forward neural networks<jats:title>Abstract</jats:title> <jats:p>This study addresses the challenge of modeling compressive stress in AlSi10Mg composites by introducing a method that employs feedforward artificial neural networks (ANNs) and their interpretability, which helps to simulate and analyze material behavior under various conditions. The main objective is to develop a predictive ANN model that can effectively simulate material responses under several factors, incorporating diverse testing parameters and material specifications related with its synthesis. An optimized ANN model, featuring eleven neurons in its hidden layer, was used and demonstrated high predictive accuracy, achieving <jats:italic>R</jats:italic> <jats:sup>2</jats:sup> values exceeding 0.94. Additionally, a SHAP interpretability analysis was conducted to assess the influence of key factors such as strain and material conditions on the stress response. The results highlight the significant role of material synthesis processes, compared to the strain rate, in the stress response. In conclusion, this method presents a comprehensive tool for studying complex stress behaviors in AlSi10Mg-based composites , offering insights that could guide future material development and research.</jats:p>1 13Scopus© Citations 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Design, Construction and Validation of a Vibration Table with Distributed Load Cells for Dynamic Measurement(Springer Nature Switzerland, 2025-11-18); ; 25 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Optimum Balancing of the Four-Bar Linkage Using Fully Cartesian Coordinates(2019); ; ; Haro-Sandoval, Eduardo2 13Scopus© Citations 10 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Modeling and simulation for designing a line walking chameleon-like legged robot(2022); ; ; Scopus© Citations 4 1 13 - 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); ; 29 - 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 2016.2 14Scopus© Citations 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, An efficient method to find the dynamic balancing conditions of mechanisms: Planar systems(2015)In this work a novel and general method to find the dynamic balancing conditions, based on the use of Natural Coordinates, is introduced. The method is efficient and very easy to automate, and can be used to obtain the shaking force and the shaking moment balancing conditions for the linkages in the plane and can be extended for linkages in space, although at this time is presented only for planar systems. These conditions can be interpreted and used for the design of dynamic balanced linkages. The application of the method is demonstrated here by finding the force and moment balancing conditions of a general four-bar mechanism that, although simple, can serve as a didactic example to evaluate the method. The resulting conditions are used to the effective design of reactionless linkages with counterweights and counter-inertias.Scopus© Citations 4 1 15