20 research outputs found
Untersuchung und Entwurf von DC MEMS Schaltern für Integrierte Self-x Sensorsysteme
No full textThe advances in sensor technology have introduced smart electronic products with
high integration of multi-sensor elements, sensor electronics and sophisticated signal
processing algorithms, resulting in intelligent sensor systems with a significant level
of complexity. This complexity leads to higher vulnerability in performing their
respective functions in a dynamic environment. The system dependability can be
improved via the implementation of self-x features in reconfigurable systems. The
reconfiguration capability requires capable switching elements, typically in the form
of a CMOS switch or miniaturized electromagnetic relay. The emerging DC-MEMS
switch has the potential to complement the CMOS switch in System-in-Package as
well as integrated circuits solutions. The aim of this thesis is to study the feasibility
of using DC-MEMS switches to enable the self-x functionality at system level.
The self-x implementation is also extended to the component level, in which the
ISE-DC-MEMS switch is equipped with self-monitoring and self-repairing features.
The MEMS electrical behavioural model generated by the design tool is inadequate,
so additional electrical models have been proposed, simulated and validated. The
simplification of the mechanical MEMS model has produced inaccurate simulation
results that lead to the occurrence of stiction in the actual device. A stiction conformity
test has been proposed, implemented, and successfully validated to compensate
the inaccurate mechanical model. Four different system simulations of representative
applications were carried out using the improved behavioural MEMS model, to
show the aptness and the performances of the ISE-DC-MEMS switch in sensitive
reconfiguration tasks in the application and to compare it with transmission gates.
The current design of the ISE-DC-MEMS switch needs further optimization in terms
of size, driving voltage, and the robustness of the design to guarantee high output
yield in order to match the performance of commercial DC MEMS switches
Design and development of a brake system using smart materials
No full textThe research is done to fulfil the requirements of the Master of
Mechatronic program at the University of Applied Sciences Ravensburg-Weingarten.
This research is about designing a new concept of a brake system using smart materials.
Smart materials are materials that receive, transmit or process a stimulus and respond by
producing a useful effect. Smart materials have attracted researchers' attention in
venturing a new technology that can improve our lives. There are a lot of materials that
have been considered as smart materials. In this research a new type of material which is
Ferromagnetic Shape Memory Alloy (FSMA) has been chosen. This alloy have
significant advantages in term of producing a large scale of output effect and delivering
fast response times compared to the other types of materials Based on these factors
FSMA can be an appropriate material as an actuator for brake mechanism systems.
After the invention of FSMA in early 1990s by Dr. Kari Ul\ako, lots of
research laboratories has set up new research groups in order to have a better
understanding about this material. Up to now they are still venturing the ways to develop
this material as actuators. There are a lot of potential field of application such as couplers
element, vibrators element, sensor and generator element, fluidic element and positioning
devices. FSMA products that have been made available in the market are linear motor
and fluidic pump from Adaptamat Ltd. FSMA has a big potential to replace current
mechanical actuator and machinery such as pneumatic and hydraulic.
In designing a brake system for robot applications there are several design
constraints that need special attention. The design must be light and compact so that it
will not become a significant additional load to the robot. In this robot application the
brake system has a slightly different requirement. The brake torque is required to provide
grips to the rotary shaft and not to stop the wheels. So in this application an initial
braking torque is preferred.
The research also gives special attention in finding an innovative way to
improve the methodology of designing and developing mechatronic products. A new
approach using the UML 2.0 has been used as a modelling technique. The technique is a
well proven technique in the software engineering applications and with a minimum
modification it is now suitable for the mechatronic engineering. Based on the results that
have been achieved in this research the integration of the UML 2.0 with the Pahl and
Beitz design methodology and the V-model has been successful
Dual-Level Voltage Bipolar Thermal Energy Harvesting System from Solar Radiation in Malaysia
No full textHarvesting energy from solar radiation in Malaysia attracts the attention of researchers to utilize the potential by ongoing improvement. Roofing material with low albedo absorbs the heat, that can then be harvested using a thermoelectric generator. Previous research only measured the open-circuit voltage with different thermoelectric generator configurations. Low power output limits the potential to be utilized. The low output power can be increased using a DC converter. However, the converter must be tuned concerning low- and high-voltage levels, bipolar, and the maximum power point tracking. Therefore, this paper presents a dual-level voltage bipolar (DLVB) thermal energy harvesting system. The circuit is tested at constant and various time intervals to evaluate the system’s functionality and performance. Experiment results show that the proposed harvesting system can boost from 0.6 and 1.6 V to achieve the optimum level. The mean efficiency of the harvesting circuit obtains 91.92% at various time intervals. Further, the field test result obtains output power from 1.45 to 66.1 mW, with the mean efficiency range of 89.62% to 92.98%. Furthermore, recommendations are listed for future research
Green density optimization of stainless steel powder via metal injection molding by Taguchi method
No full textMetal injection moulding (MIM) has gains much attention due to its ability in producing large amount of small part with complex geometry and intricate shape. In order to obtain better shape retention, optimum density of green part is required. This paper deals with the application of Taguchi method in optimising the green density of moulded components base on parameters setting in plastic injection moulding machine. For this purposes only 7 process parameters were considered here are injection pressure, injection temperature, cooling time, injection speed, injection time, packing time and mould temperature. An orthogonal array of L27 experimental base design was conducted. Base on the experimental results, cooling time plays significant contribution to density followed by injection pressure, time, speed, mould temperature, packing time and injection temperature. Confirmation test was done base on optimization level for each factors and shows good results in green density of the injected moulded samples
Green density optimization of stainless steel powder via metal injection molding by Taguchi method
No full textMetal injection moulding (MIM) has gains much attention due to its ability in producing large amount of small part with complex geometry and intricate shape. In order to obtain better shape retention, optimum density of green part is required. This paper deals with the application of Taguchi method in optimising the green density of moulded components base on parameters setting in plastic injection moulding machine. For this purposes only 7 process parameters were considered here are injection pressure, injection temperature, cooling time, injection speed, injection time, packing time and mould temperature. An orthogonal array of L27 experimental base design was conducted. Base on the experimental results, cooling time plays significant contribution to density followed by injection pressure, time, speed, mould temperature, packing time and injection temperature. Confirmation test was done base on optimization level for each factors and shows good results in green density of the injected moulded samples
Feasibility study of Thermal Electric Generator Configurations as Renewable Energy Sources
No full text
