Publications by Xinxin Liao | EPFL Graph Search

Related publications (5)

Thermomechanical constitutive modeling of the Kirigami-inspired shape memory alloy

Yves Perriard, Thomas Guillaume Martinez, Marjan Ghorbani, Xinxin Liao

Shape memory alloys (SMAs) are unique materials capable of recovering predefined shapes through reversible phase transformations between austenite and martensite phases. This behavior enables SMAs to exhibit the shape memory effect and pseudoelasticity, al ...

2025

Contact Tip Trajectory in Steady-State Regime Prediction Using Deep Learning for Piezoelectric Actuators

Yves Perriard, Paolo Germano, Marjan Ghorbani, Xinxin Liao, Marc Michel Charles Favier

Including friction modeling in simulation can be challenging and requires time domain simulation, which is time consuming. We propose to separate the friction modelling from the FEA (Finite Element Analysis). The approach is defined for UCM (Ultrasonic Cer ...

Institute of Electrical and Electronics Engineers Inc.2024

Normal Contact Force Estimation Using Deep Learning

Yves Perriard, Paolo Germano, Xinxin Liao, Marc Michel Charles Favier

Small scale ultrasonic piezoelectric actuators performance strongly depends on not well-known contact dynamics. Deep Neural Network (DNN) sees their use in physic simulation growing as their flexibility allows better performance especially when dynamics la ...

Institute of Electrical and Electronics Engineers Inc.2024

Investigation into vibration filtering for reducing friction loss of ultrasonic motors through a numerical approach

Yves Perriard, Xinxin Liao

Ultrasonic motors (UMs) have emerged as a leading solution for actuators in biomedical equipment, aerospace applications, and other fields, owing to their distinct advantages, such as compact structures and self-locking ability. The operating principle of ...

IOP Publishing Ltd2025

Improvement of Shape Memory Alloy (NiTi) Actuation Frequency Using Highly Thermally Conductive Metal Layer

Yves Perriard, Thomas Guillaume Martinez, Marjan Ghorbani, Xinxin Liao

In this paper, we investigate a novel passive approach to improve the actuation frequency of Shape Memory Alloys (SMAs) with the Kirigami-inspired design using a thin layer of highly thermally conductive material. By depositing an 80 nm layer of gold on th ...

Institute of Electrical and Electronics Engineers Inc.2024