M
M. Farhadmanesh
Researcher at University of Victoria
Publications - 5
Citations - 39
M. Farhadmanesh is an academic researcher from University of Victoria. The author has contributed to research in topics: Parallel manipulator & Kinematics. The author has an hindex of 3, co-authored 5 publications receiving 19 citations. Previous affiliations of M. Farhadmanesh include K.N.Toosi University of Technology.
Papers
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Journal ArticleDOI
Modeling and identification of cutting forces in milling of Carbon Fibre Reinforced Polymers
TL;DR: In this paper, a mechanistic model with parameters that depend on fibre cutting angle is proposed, and a new experimental method is presented to identify the parameters of the proposed model, and the experimental validation of the presented force modelling approach confirms its accuracy to predict forces in milling of Unidirectional as well as Multi-directional CFRP.
Journal ArticleDOI
Online identification of mechanistic milling force models
M. Farhadmanesh,Keivan Ahmadi +1 more
TL;DR: The performance of Recursive Least Squares and Kalman Filter algorithms in online monitoring of Specific Force Coefficients is studied and proposed methods in identifying SFC in various cutting conditions are presented.
Proceedings ArticleDOI
Multi criteria design of a spherical 3-DoF parallel manipulator for optimal dynamic performance
TL;DR: Dynamic analysis and optimization problem of a Spherical 3-DoF Parallel Manipulator (SPM) is the main subject of this paper, and the closed-form dynamic formulation of the mechanism is investigated.
Proceedings ArticleDOI
Dynamics formulation and motion control of a planar parallel manipulator
TL;DR: A computed torque control scheme is applied for the motion control of the robot using a model of the mechanism made on simulation software for a predefined trajectory and the results of the motion tracking indicates the suitable performance of the implemented control scheme.
Proceedings ArticleDOI
Design of a new fuzzy model-based controller for complex dynamical systems with application to a 3-RRR spherical parallel manipulator
TL;DR: A novel fuzzy model-based control scheme is presented for enhancing the controller performance in a complicated dynamical system of a 3-DoF spherical parallel manipulator and aims considerable decrease in settling time and damping the overshoot.