Results 61 to 70 of about 9,446 (291)
Automated Sketching of Non-Fractionated Kinematic Chains [PDF]
, 2013 The sketching problem arises frequently in the conceptual design of mechanisms, especially in the enumeration process where a large number of topological solutions automatically generated must be analyzed. This paper presents a new graph layout algorithm
Cardona, Alberto +2 more
core +1 more source
Advanced Science, EarlyView.Palatable food alleviates stress and prevents anxiety. This study uncovers a dedicated neural pathway: dopamine release in the PFC activates D1R neurons, whose projections to the peri‐PVN engage a population of anxiolytic CRFR1 neurons. These neurons then inhibit stress‐induced hyperactivity of PVNCRF neurons, providing a circuit‐level explanation for ...
Yuchuan Hong +12 more
wiley +1 more source
Micromachines, 2018 The piezoelectric-actuated flexure-based compliant platform is commonly adopted in many fields of micro and nanotechnology. In this paper, bond graph modeling, and kinematic and dynamic characteristics of a piezoelectric-actuated micro-/nano compliant ...
Chao Lin +4 more
doaj +1 more source
Physics‐Informed Neural Network‐Enabled Forward Prediction and Inverse Design of Ring Origami
Advanced Science, EarlyView.This work presents a KRT‐PINN framework that integrates Kirchhoff rod theory with physics‐informed neural networks for the forward prediction and inverse design of ring origami consisting of closed‐loop rods. The framework predicts stable states of segmented rings with prescribed natural‐curvature profiles and determines the natural‐curvature profiles ...
Luyuan Ning +3 more
wiley +1 more source
Advanced Electronic Materials, EarlyView.The integration of ultra‐flexible, all‐organic, field‐effect transistor‐based strain sensors to soft structures is reported for the development of sensorized soft robots. The envisaged application is the development of next‐generation, controllable, and observable soft robotic catheters for endoscopic applications, such as drug delivery. Mechanical and
Usama Mahmood +5 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia +2 more
wiley +1 more source
Modelling the dynamics and kinematics of mechanical systems with multibond graphs [PDF]
Journal of the Franklin Institute, 1985 A method to model mechanical systems with multibond graphs is described. The method is based on the description of the vector velocity relation of a moving point in a rotating system. This relation is incorporated in a bond graph. Since bond graphs are based on the power conserving concept, the force or momenta relations are then available too.
Tiernego, M.J.L., Bos, A.M.
openaire +2 more sources
Type Synthesis of Variable Compression Ratio Engine Mechanisms
Applied Sciences, 2020 Type synthesis of two-degrees-of-freedom (DOF) planar mechanisms has been carried out using graph theory to determine the possible kinematic structures of variable compression ratio (VCR) engine mechanisms with two to three independent loops, and has ...
Young Kwang Mo +4 more
doaj +1 more source
Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios +4 more
wiley +1 more source
Modeling and Simulation of Variational Rigid and Compliant Assembly for Tolerance Analysis [PDF]
, 2009 Modern manufacturing processes are strongly affected by part and process variations. Understanding the final shape of the assembly is a crucial task to be achieved during the design stage to reduce cost and production time.
Franciosa, Pasquale
core