Mohammadali Ghafarian

Dr. Mohammadali Ghafarian


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2020 in Mechatronics
Verified
Journal Article
Closed access
TDTilok Kumar Das
Tilok Kumar Das
BSBijan Shirinzadeh
Bijan Shirinzadeh
MGMohammadali Ghafarian
Mohammadali Ghafarian
AAAmmar Al-Jodah
Ammar Al-Jodah
YZYongmin Zhong
Yongmin Zhong
JSJulian Smith
Julian Smith

1 January 2021 in Mechanism and Machine Theory
Verified
Journal Article
Closed access
TDTilok Kumar Das
Tilok Kumar Das
BSBijan Shirinzadeh
Bijan Shirinzadeh
AAAmmar Al-Jodah
Ammar Al-Jodah
MGMohammadali Ghafarian
Mohammadali Ghafarian
JPJoshua Pinskier
Joshua Pinskier

20 May 2020 in IEEE Robotics and Automation Letters
Verified
Journal Article
Closed access
MGMohammadali Ghafarian
Mohammadali Ghafarian
BSBijan Shirinzadeh
Bijan Shirinzadeh
Ammar Al-JodahAmmar Al-Jodah
Ammar Al-Jodah
TDTilok Kumar Das
Tilok Kumar Das
This paper introduces a robust adaptive control methodology for piezo-actuated flexure-based micro/nano manipulation mechanisms. This special control approach is established for tracking of the desired complex motion trajectories with system uncertainties. Further, the control methodology is formulated to accommodate not only the system uncertainties but also nonlinearities including the hysteresis effect and external disturbances in the motion of a 3-degrees-of-freedom (3-DOF) XYZ micro/nano manipulator. Adaptive fuzzy sliding mode control (AFSMC) is developed for the formulation of the control methodology. The fuzzy logic component and adaptation law employed in the controller are used to approximate the system uncertainties and compensate for the effect of nonlinear terms in the system. The resulting control strategy is devised using a sliding mode control scheme. The asymptotic tracking ability of the designed controller is proved by using Lyapunov-based stability analysis. Furthermore, an experimental study is performed on the 3-DOF compliant monolithic parallel micro/nano manipulator and the results confirm that the designed control approach produces high-precision motion tracking and smaller tracking errors compared to a model-free control technique, i.e. Proportional-Integral-Derivative (PID) controller.

16 March 2020 in Smart Materials and Structures
Verified
Journal Article
Closed access
PDF file
TDTilok Kumar Das
Tilok Kumar Das
BSBijan Shirinzadeh
Bijan Shirinzadeh
MGMohammadali Ghafarian
Mohammadali Ghafarian
Ammar Al-JodahAmmar Al-Jodah
Ammar Al-Jodah
The demand for high precision micro/nano manipulation is increasing for advanced manufacturing technology. The precise motion of the microgripper jaw is required to achieve high performance micromanipulation tasks. The parasitic motion of the microgripper reduces placement accuracy during pick and place tasks. This paper presents an asymmetric design of piezoelectric actuated microgripper. It investigates key characteristics including parasitic motion, output displacement, and displacement amplification ratio. The microgripper is designed with a single-stage displacement amplification mechanism to form a compact layout. The design of the microgripper integrates the bridge-type mechanism and the parallelogram mechanisms. The bridge-type mechanism amplifies the piezoelectric actuator output and the parallelogram mechanisms offer linear motion of the gripper jaw. The analytical modeling and finite element analysis were conducted to evaluate the characteristics of the microgripper. The design parameters of the microgripper were optimized through several finite element analysis. Further, experimental studies were conducted to verify the characteristics of the microgripper. The parasitic motion of the jaw was obtained as less than 0.18% of the microgripper jaw motion in the x -direction. The mechanism of the microgripper also achieves a high positioning accuracy. Further, a high displacement amplification ratio and large output displacement can be achieved.

1 February 2021 in Mechanism and Machine Theory
Verified
Journal Article
Closed access
AAAmmar Al-Jodah
Ammar Al-Jodah
BSBijan Shirinzadeh
Bijan Shirinzadeh
MGMohammadali Ghafarian
Mohammadali Ghafarian
TDTilok Kumar Das
Tilok Kumar Das
JPJoshua Pinskier
Joshua Pinskier

1 August 2020 in Mechanism and Machine Theory
Verified
Journal Article
Closed access
JPJoshua Pinskier
Joshua Pinskier
BSBijan Shirinzadeh
Bijan Shirinzadeh
MGMohammadali Ghafarian
Mohammadali Ghafarian
TDTilok Kumar Das
Tilok Kumar Das
Ammar Al-JodahAmmar Al-Jodah
Ammar Al-Jodah
RNRohan Nowell
Rohan Nowell