My name is Mohamad Khaje khabaz and I am an M. Sc graduate in Mechanical Engineering in Iran. I was top-ranked among all graduate students in this field at the university. My master's thesis is about "Vibration analysis and control of cantilever micro-beam based on strain gradient theory", in which I investigated the vibration and dynamic of micro-beam integrated with piezoelectric actuators and sensor layers. I published the results of my B. Sc and M. Sc thesis in different journals such as ISA transactions, Applied Mathematics and Computation and Physica A: Statistical Mechanics and its Applications.
Currently, I am a member of the Nanofluid advance research team in which we are especially working on a new model based on Artificial Intelligence (AI) methods to predict and optimize the nanofluid properties.
I am generally interested in “Structural Dynamics, Vibrations and Control, Micro and Nano-systems and Materials, Nanofluid Behavior, advanced & Smart Material, Artificial Intelligence, Multi-scale Analysis, Design of Multi-Functional Lightweight Structures, Optimization, and Interdisciplinary Problems”.
Ac-Score is a Number Between 150-850 Representing Your Entire Academic Activities. This Number Not Only Gives You a Vision of Your Strengths and Weaknesses in Your Academic Background but Also Helps You Compare Yourself with Other Competitors in This Domain.
Set-up Optimization of Tandem Cold Rolling Mill by numerical methods
Work Experiences
Head of Engineering Dep.
at Omid Isfahan Safety Glass
I am currently working in this role
Mechanical Engineer & Exp
at Omid Isfahan Safety Glass
Start : 01-Apr-2015
End : 01-Oct-2018
Journal Publications
Publication Title :
Numerical Investigation of Rigidity and Flexibility Parameters Effect on Superstructure Foundation Behavior Using Three-Dimensional Finite Element MethodThird author
Transverse vibration analysis of double-walled carbon nanotubes in an elastic medium under temperature gradients and electrical fields based on nonlocal Reddy beam theorySecond author
Journal :
Materials Science and Engineering B: Solid-State Materials for Advanced Technology
A novel integrated model to improve the dynamic viscosity of MWCNT-Al2O3 (40: 60)/Oil 5W50 hybrid nano-lubricant using artificial neural networks (ANNs)Third author
Using feed-forward perceptron Artificial Neural Network (ANN) model to determine the rolling force, power and slip of the tandem cold rollingSecond author
Application of artificial intelligence and using optimal ANN to predict the dynamic viscosity of Hybrid nano-lubricant containing Zinc Oxide in Commercial oilSecond author
Journal :
Colloids and Surfaces A: Physicochemical and Engineering Aspects
Vibration and dynamic analysis of a cantilever sandwich microbeam integrated with piezoelectric layers based on strain gradient theory and surface effectsFirst author
Prediction the dynamic viscosity of MWCNT-Al2O3 (30: 70)/Oil 5W50 hybrid nano-lubricant using Principal Component Analysis (PCA) with Artificial Neural Network (ANN)Fourth author
Optimal vibration control of multi-layer micro-beams actuated by piezoelectric layer based on modified couple stress and surface stress elasticity theoriesFirst author
Journal :
Physica A: Statistical Mechanics and its Applications
Finite element analysis and experimental evaluation on stress distribution and sensitivity of dental implants to assess optimum length and thread pitchCorresponding author