学术动态
学术动态
博士生何彬出国参会回国报告

汇报题目:参加2017 24th International Conference on Mechatronics and Machine Vision in Practice(IEEE-M2VIP 2017) 参会报告
汇报时间:2017年11月29日(星期四)21:00
汇报地点:机械学院党员之家
汇报人:何彬

会议名称:2017 24th International Conference on Mechatronics and Machine Vision in Practice(IEEE-M2VIP 2017).

会议时间:21-23 November 2017
会议地点:Auckland, New Zealand
会议简介:M2VIP-Conference has got into the third decade since its birth in 1994. Mechatronics is regarded as the fusion of mechanical, electrical and computer engineering for the design and development of mechatronic products while machine vision brings a sense of intelligence. With the advent of new functional materials, smart actuators, smart sensors, embedded computers and 3D printing technologies, as well as the latest advance in machine vision, intelligence, machine learning and computational modeling, a lot of more intelligent, powerful, miniaturized or user-friendly devices, systems and robots are emerging that meet the needs of modern day living and the challenges with Industry 4.0. At the core of these emerging smart products is essentially novel Mechatronic ways in coordinating the sensors that detect interactions with the surroundings and measure internal states, and commanding the actuators to achieve the motion functionalities, delivering the machine intelligence and manufacturing in 3D printing technologies. Research in Mechatronics and Machine Vision in Practice (M2VIP) is always active worldwide and M2VIP-Conference provides a forum for researchers, academics and students to exchange and present their latest results and best practices.
会议交流工作
Oral Presentation: Design and Performance Analysis of High Response Actuator Using Magnetic Shape Memory Alloy
报告人:何彬
参加论文信息:
Title: Design and Performance Analysis of High Response Actuator Using Magnetic Shape Memory Alloy
Author: Bin He, Hu Shi, Haitao Wang, Xuesong Mei
Abstract: Magnetic shape memory alloy (MSMA) has recently emerged as a new type of multifunctional material exhibiting excellent performance as fast response and large strain. Constitution equations are derived based on the magnet-strain effect of MSMA. Experiments are conducted to explore the magnetic field induced strain, and data are applied to establish neural network based models to build the nonlinear relationship between strain, stress and other related parameters. Actuator design, magnetic field analysis and dynamic analysis are carried out. With a combination of the characteristics of ordinary magnetostrictive materials and conventional shape memory alloy, it is qualified for high performance actuator.