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This study explores the use of piezoelectric micro pumps combined with control valves for microbial cell manipulation. By integrating the micropump with two three-port valves, a reversible and controlled flow was achieved through the timely actuation of relay switches. Experimental results demonstrated that at the pump's lowest setting (
This study explores the use of piezoelectric micro pumps combined with control valves for microbial cell manipulation. By integrating the micropump with two three-port valves, a reversible and controlled flow was achieved through the timely actuation of relay switches. Experimental results demonstrated that at the pump's lowest setting (50 mW, 2.5 mbar), a volume of 0.029 ml was accurately aspirated and dispensed. This method effectively handles delicate biological samples, showcasing its potential for precise aspiration and dispensing in biomedical applications. It can be implemented for automated cell manupulation.
This study developed an innovative helical-shaped piezoelectric sensor incorporating a precisely aligned polyvinylidene fluoride (PVDF)/graphene composite film as the active piezoelectric component. This advanced sensor generates voltage time-series data with distinct waveforms in response to various external forces, enabling the identification of different types of external forces.
This study introduces a novel bio-inspired optimization technique called the “Indian Spotted Eagle Algorithm (ISEA),” which enhances UAV path planning. The algorithm incorporates Cubic Spline Interpolation to ensure smooth and continuous paths, allowing UAVs to navigate efficiently through challenging environments. The study asses
This study introduces a novel bio-inspired optimization technique called the “Indian Spotted Eagle Algorithm (ISEA),” which enhances UAV path planning. The algorithm incorporates Cubic Spline Interpolation to ensure smooth and continuous paths, allowing UAVs to navigate efficiently through challenging environments. The study assesses the performance of ISEA in comparison with other bio-inspired optimization techniques through simulations in similar scenarios. The findings reveal that the proposed method significantly surpasses other methods by reducing path length by up to 37%. Additionally, the convergence results show that ISEA is faster than the compared bio-inspired algorithms, indicating its strong practical applicability.
I received a Ph.D. degree in Mechanical Engineering from MATS University, India, in 2018. Currently, I am working as a postdoctoral researcher at Department of Mechanical Engineering, National Taiwan University of Science and Technology, Taiwan. My research interests are robotics and drones, industrial aerodynamics, and composite materials.
Present :
Post Doctoral Researcher,Design Automation Laboratory,Department of Mechanical Engineering,National Taiwan University of Science and Technology,Taipei, Taiwan
Past :
Associate Professor of Aeronautical/Mechanical Engineering, School of Engineering & I.T., MATS University (NAAC – B++ Accredited), Raipur (C.G.) INDIA 492001
Head
Present :
Post Doctoral Researcher,Design Automation Laboratory,Department of Mechanical Engineering,National Taiwan University of Science and Technology,Taipei, Taiwan
Past :
Associate Professor of Aeronautical/Mechanical Engineering, School of Engineering & I.T., MATS University (NAAC – B++ Accredited), Raipur (C.G.) INDIA 492001
Head of Department, Department of Aeronautical Engineering, School of Engineering & I.T., MATS University.
· Industrial Aerodynamics
· Composite Materials
· Aircraft Systems
· Unmanned Systems
· Artificial Intelligence in Robotics
Aircraft Structures
Turbomachines
Dr. Brijesh Patel
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