Vahid Hassani
I was born in Tehran on the 3rd of May 1980. In 2007, I completed my Master’s degree in Aerospace engineering (Flight Dynamics and Control) at Sharif university of technology in Iran-Tehran. In 2014, I completed my PhD degree in the field of Mechanical Engineering ( Mechatronics and Design) at Nanyang Technological University in Singapore. Focus of my PhD study was on computational modelling of Piezo-driven mechanisms for micro/nano positioning purposes. I am also mainly interested in doing research in the field of signal processing and control specially classical and modern methods of control engineering. This type of research can be applied in the area of design and development of MEMS devices. I like to emphasis on finite element methods and their applications in design and development of electro-mechanical systems.Specialties:• Design of Classical Control, Optimal Control, Intelligent-Based Control and Nonlinear Control Systems• Design and Analysis of Discrete and Continuous Vibration Systems• Solid Mechanics and Finite Element Analysis• Design and Dynamic Analysis of Robotic Systems, Industrial Manipulators and Piezoelectric-Based Micromanipulators• Dynamic Scheduling and Planning for Manufacturing and Transportation Systems• Design Optimization using the classical and Artificial Intelligent Based Methods• Dynamic Modeling of Marine and Offshore Structures• System Identification Applied in Marine and Offshore Structure
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automated. On the other hand, the classes have distinct characteristics. FRC components tend to be large and of simple shapes, while AM components tend to be small with highly complex geometry. Their combination has the potential for significant synergies, while mitigating their individual limitations. A decision guide is proposed, in the form of a series of questions, to guide the designer to determine if their application is a good candidate for FRC+AM. The decision guide is reformulated into a proposed design
process that guides the designer to advantageously benefit from AM and FRC characteristics. The tools are illustrated with an example of a composite pressure vessel with integrated pressure reducer.
mild steel batten/purlin sheets. This mathematical model will be proposed to estimate the maximum pull-out force capacity of the cladding fasteners made of cold-formed A2 316 stainless steel. After finding the parameters of the mathematical model by using an optimization method based on a genetic algorithm (GA), a comparison will be made between the mean estimation error of the new model and the formerly proposed ones.
to achieve the minimum von Mises stress versus a specific tensile load. In the second method, namely geometry optimization method, several circular holes with different diameters are cut-extruded with monotonically
decreasing volume gradient along the length of the sample to create a volume fraction at the beginning of optimization. As an alternative approach to the first method, an algorithm is seeded to alter the diameters of
holes on the sample to minimize the same objective function i.e., von Mises stress. In the third method, namely integrated position and geometry optimization approach, several square holes are cut-extruded along the length of the sample with a uniform volume gradient. Then, by using a GA, the position of each square along the width of the sample is manipulated together with their dimensions to minimize the same objective function of former methods versus the same applied load. Finally, the structural results of each sample in addition to the generated support structures, as one of the basic elements of some additive manufacturing (AM) processes,are compared with the software-based topologically-optimized sample with equivalent volume fraction.
research compares between intelligent hybrid order picking versus order picking with pick confirmation system at parts assembly line. The results show that by our proposed system with the elimination of certain steps within the picking process, the better efficiency, accuracy, fewer miss-picks will occur in the system and the operator can perform more intelligently with
required picking quantities. The development of this system can provide a low-cost solution with an intelligent order picking system for small and medium-sized enterprises (SMEs) and a fast-moving production assembly line in manufacturing.
In order to ensure the designated elliptical motion is achieved, a dynamic analysis of the system is carried out utilizing the constitutive equations relating to the dynamic response of piezoelectric element with the voltage input under external loading. However, it is widely known that piezoelectric materials are subjected to hysteresis nonlinearity, which causes the constitutive equations cannot be implemented directly.
On the other hand, the constitutive equations have been originally derived based on linear assumption that neglects the nonlinearity of hysteresis in piezoelectric materials. In this paper, the hysteretic effect of the piezoelectric actuator is taken into consideration to characterize and model the dynamic response of the designated structure. The trajectory output of the structure is simulated using finite element approach while the excitation input to the model, -incorporating the hysteresis properties, is predicted based on the proposed formulation. The simulation results exhibit good agreement to the tip trajectory of the mechanism at relatively low frequency ranging from 50 Hz to 200 Hz.
automated. On the other hand, the classes have distinct characteristics. FRC components tend to be large and of simple shapes, while AM components tend to be small with highly complex geometry. Their combination has the potential for significant synergies, while mitigating their individual limitations. A decision guide is proposed, in the form of a series of questions, to guide the designer to determine if their application is a good candidate for FRC+AM. The decision guide is reformulated into a proposed design
process that guides the designer to advantageously benefit from AM and FRC characteristics. The tools are illustrated with an example of a composite pressure vessel with integrated pressure reducer.
mild steel batten/purlin sheets. This mathematical model will be proposed to estimate the maximum pull-out force capacity of the cladding fasteners made of cold-formed A2 316 stainless steel. After finding the parameters of the mathematical model by using an optimization method based on a genetic algorithm (GA), a comparison will be made between the mean estimation error of the new model and the formerly proposed ones.
to achieve the minimum von Mises stress versus a specific tensile load. In the second method, namely geometry optimization method, several circular holes with different diameters are cut-extruded with monotonically
decreasing volume gradient along the length of the sample to create a volume fraction at the beginning of optimization. As an alternative approach to the first method, an algorithm is seeded to alter the diameters of
holes on the sample to minimize the same objective function i.e., von Mises stress. In the third method, namely integrated position and geometry optimization approach, several square holes are cut-extruded along the length of the sample with a uniform volume gradient. Then, by using a GA, the position of each square along the width of the sample is manipulated together with their dimensions to minimize the same objective function of former methods versus the same applied load. Finally, the structural results of each sample in addition to the generated support structures, as one of the basic elements of some additive manufacturing (AM) processes,are compared with the software-based topologically-optimized sample with equivalent volume fraction.
research compares between intelligent hybrid order picking versus order picking with pick confirmation system at parts assembly line. The results show that by our proposed system with the elimination of certain steps within the picking process, the better efficiency, accuracy, fewer miss-picks will occur in the system and the operator can perform more intelligently with
required picking quantities. The development of this system can provide a low-cost solution with an intelligent order picking system for small and medium-sized enterprises (SMEs) and a fast-moving production assembly line in manufacturing.
In order to ensure the designated elliptical motion is achieved, a dynamic analysis of the system is carried out utilizing the constitutive equations relating to the dynamic response of piezoelectric element with the voltage input under external loading. However, it is widely known that piezoelectric materials are subjected to hysteresis nonlinearity, which causes the constitutive equations cannot be implemented directly.
On the other hand, the constitutive equations have been originally derived based on linear assumption that neglects the nonlinearity of hysteresis in piezoelectric materials. In this paper, the hysteretic effect of the piezoelectric actuator is taken into consideration to characterize and model the dynamic response of the designated structure. The trajectory output of the structure is simulated using finite element approach while the excitation input to the model, -incorporating the hysteresis properties, is predicted based on the proposed formulation. The simulation results exhibit good agreement to the tip trajectory of the mechanism at relatively low frequency ranging from 50 Hz to 200 Hz.