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Articles by Sawal H. Md. Ali
Total Records ( 3 ) for Sawal H. Md. Ali
  Md. Naim Uddin , Md. Shabiul Islam , Jahariah Sampe , M.S. Bhuyan and Sawal H. Md. Ali
  Background: Ambient vibration energy can be converted into electrical energy in an energy harvester system by using three mechanisms; piezoelectric, electrostatic and electromagnetic. Among three mechanisms, piezoelectric mechanism is most efficient. In this mechanism, mechanical stress and strain generation of piezoelectric materials can be converted into electrical energy by ambient vibration energy for low power electronic system. To implement a piezoelectric energy harvester system from ambient vibration, a lower range of frequency will be chosen. To achieve the lower resonant frequency and higher stress of energy harvester, a cantilever beam is suitable because of its least stiff structure. Materials and Methods: The structural properties of a T-shape piezoelectric cantilever beam was analysed for piezoelectric energy harvesting mechanism. The 3-D geometry of the beam has been design using solid works. After that the simulation of the T-shaped piezoelectric cantilever beam has been performed by using Finite Element Analysis (FEA) in COMSOL multiphysics. In FEA simulation, the volume of the beam was considered 24.566×10–3 cm3 under a vibration source of 0.5 g acceleration. Results: As a result, the beam was resonated at a frequency of 229.25 Hz. During resonance, free end of the beam has displaced the maximum 2.77 mm with RMS velocity of 3.29 m sec–1. Finally, maximum stress of 2.39×108 N m–2 has found near the fixed end of the beam. Conclusion: This designed and analysed T-shaped piezoelectric cantilever beam will be suitable for scavenging and converting ambient low vibration energy into electrical energy for biomedical devices. The shape of the cantilever beam was designed as T-shape. In the design, complexity of the beam was reduced and no proof mass was used at the free end of the beam. After the analysis of the beam, a lower resonant frequency of 229.25 Hz was achieved compared to past researchers studies.
  M.S. Bhuyan , B.Y. Majlis , M. Othman , Sawal H. Md. Ali and Shabiul Islam
  This study presents multi-physics three-dimensional finite element simulation of a fluid flow based self-excited micro energy harvester. This micro energy harvester is modeled inside a micro fluid channel to convert fluid flow energy into fluid oscillations. Investigations are carried out for the impact of low fluid flow velocity ranging 1-5 m sec-1, associated voltage generation by piezoelectric means and various mechanical analyses to enhance the performance and robust design considerations. The piezoelectric micro cantilever is attached to a D-shaped bluff body. An axial fluid flow and the D-shaped bluff body interaction generate Karman Vortex Street in the wake of the bluff-body. Vortex shedding causes an asymmetry in pressure distribution on the surface of the bluff body which results in time-dependent forces acting on the attached flexible micro cantilever. Due to structural vibrations induced by the uniform and steady fluid flow, periodic strains are generated in the piezoelectric cantilever which converts the strain energy into electrical charge. Finite Element Analysis Software namely COMSOL Multiphysics are used for the Harvester Model and simulation. In a 200x150x150 μm3 rectangular duct, at 5 m sec-1 fluid velocity, the 50x40x2 μm3 piezoelectric cantilever experienced 3088 Pa stress with cantilever tip displacement around 60 μm. A maximum voltage of 2.9 mV was recorded at 5 m sec-1 fluid velocity that is sufficient to drive an ultra-low-power rectifier circuit for a complete energy harvesting system. This study in detail describes the harvester device modeling and finite element analysis in COMSOL. Instead of using ambient parasitic vibration, this Energy Harvester Model directly utilize fluid flow energy to improve harvesting capability. The micro energy harvester self-charging capability makes it possible to develop untethered sensor nodes that do not require any wired connection or battery replacement or supplement batteries. Integration of fluid flow based micro energy harvester device for the autonomous sensor network such as automotive temperature and humidity sensor networks.
  Y.T. Tan , M.S. Bhuyan , Sawal H. Md. Ali and Md. Shabiul Islam
  The study describes the implementation of a fuzzy expert system based fault diagnostic system. The system is implemented into a Field Programmable Gate Array (FPGA) chip for fast design cycle. Real time faults diagnosis of manufacturing machinery equipment through software approach lacks in processing speed and slow interfacing with physical hardware. To overcome this increasing complexity of contemporary industrial processes and a wide range of hazards, a flexible, easy and shorter development time of intelligent fault diagnosis system is reuired. Fuzzy Logic System (FLS) is employed to process imprecise and uncertain system inputs. Highly parallelism execution into FPGA enhances the processing speed of fault diagnosis system and enabling the interfacing with hardware in real-time manner. Most of the synthesization tools are unable to simplify division operator and resulted in error in the synthesization of the system. Therefore, a division module is designed to enable the synthesization. The algorithm is based on repetitive substitution and bit shifting operations. Hardware implementation of the system into FPGA board enabled shorter time to design for both fault diagnostic system and manufacturing equipment. The results showed that the proposed FPGA performance required only 176 nsec of execution time for operating clock frequency of 50 MHz and 7594 logic elements into FPGA. This expert system aims to reduce the downtime for faulty manufacturing equipment and standardize the fault diagnostic procedures. The hardware implementation of fault diagnostic expert system into FPGA board brings advantages in ease of variability in the system and high speed processing due to hardware data parallelism.
 
 
 
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