Browsing by Department > Department of Mechanical Engineering

Jump to: 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
or enter first few letters:  
Showing results 21 to 40 of 462 < previous   next >
2015Aerodynamics of high-speed train entering a tunnelZhang, Qi
2022Airfoil tonal noise reduction by means of localized flow-induced panel vibrationArif, Muhammad Irsalan
2005Analysis and control of computer cooling fan noiseWong, Kam
2015Analysis and control of fan noise within a converging duct section of limited lengthXi, Qiang
2021Analysis and design of a field robot in tough working environmentsZhang, Yuzhou
2015Analysis and design of a novel nonlinear vibration isolator and its applicationsSun, Xiuting
2016Analysis and design of high noise insulation windowsZhang, Wanxin
2021Analysis and design of nonlinear damping and its applicationsBian, Jing
2016Analysis and design of vehicle seat suspension based on bio-inspired structure and stewart platformHu, Feizhou
2021Analysis and optimal design of a multi-DOF vibration isolation platformYu, Shihao
2021Analysis and synthesis of nonlinear dynamic systems based on fuzzy model and frequency domain methodLi, Jingying
2013Analysis of heat transfer in a building structure accounting for the realistic effect of thermal radiation heat transferTam, Wai Cheong
2010Analysis of residual stresses of layered nanostructured metallic plateFu, Jia
2007Analysis of vibration and squeal noise of a brake rotor using a simplified modelZhang, Fang
2000Analysis on the adaptability and feasibility of implementing the automated guided vehicle system in outboard engine industryTso, Man-yung
2015Analysis, design and testing of nonlinear QZS-based sensor systems for measurement of absolute vibration motionWang, Yu
2022Anion hosting graphitic carbon cathodes for dual ion batteryLyu, Linlong
2010Anodic titanium dioxide layers : synthesis, properties and applicationsHuang, Chuanjun
2018Application of dielectric barrier discharge plasma actuators on a highly swept delta wingShen, Lu
2020Application of machine learning method in the study of stacking fault energy of steelLiu, Guanhong