[Show abstract][Hide abstract] ABSTRACT: For the purpose of convenient management and breeding flexibility, a modern farming industry equipped with a remote automatic controlling system via the internet and a web camera is proposed in this study. Here, to fulfill the multiple functions needed for an outdoor pool, a multi-functional aquarium equipped with automatic thermal control/fodder-feeding/water treatment using a network remote control system is established. Besides, A PC-based control system using a VB interface in both sever pc and client PC via the RS232/RS485 protocol is adopted. To avoid excessive usage of underground water, an alternative method using an inner water circulation system in conjunction with an automatic water treatment process for a pool is used. Moreover, in order to conserve manpower while breeding fish, an automatic fish breeding system is installed in an aquaculture farm. To demonstrate an automatic system for breeding fish, a small aquarium model is assessed. Results reveal that the temperature inside the aquarium can be well-controlled within a preset temperature range. The multiple remote controlling abilities in temperature control, fish breeding, image monitoring and water-circulation can be fully achieved. Consequently, the automatic temperature control system can be applied to outdoor pools for fish reproduction.
[Show abstract][Hide abstract] ABSTRACT: Because of the necessity of product transportation using an autonomous robot in industries, the path-planning in finding an appropriate way without collision is essential. The main purpose of this study is to solve the problem of robotic path-planning utilizing a Genetic Algorithm (GA), a robust scheme used in searching for the global optimum by imitating a genetic evolutionary process. In this study, a two dimensional mobile robot used in four kinds of multi-layer barrier systems (a one-layer barrier, a two-layer, a three-layer and a four-layer barrier system) has been introduced. To access a shortest path when an autonomous robot passing through multi-layer barrier systems, an objective function of the path length is minimized using a GA optimizer in conjunction with a minimum square root method as well as a penalty function. The genetic algorithm provides a solid alternative to conventional methods of path-planning. Moreover, the optimization parameters for the desired path can easily be changed without a total overhaul of the overall algorithm. Results reveal that the path optimization within a limited working area can be simplified by presetting the fixed steps in an x-axis. Five kinds of GA parameters ( pop , bit , iter , pc and pm ) play essential roles in the solution’s accuracy during GA optimization. Obstacle with more layer-barriers will increase the difficulty of short-path searching. An appropriate path can be obtained by increasing the iter from 500 to 5000 or 10000 during GA optimization process. Consequently, an efficient path that avoids multiple obstacles within a working area can be easily found using the GA algorithm.
[Show abstract][Hide abstract] ABSTRACT: The issue, here, is to develop a SMA-made bending actuator system used in the medical treatment of an injured finger. To acquire the practical swinging angle and the related heating temperature (Ts) at various loading forces, a series of experimental processes in detecting the above data using an image-captured detecting system via the web camera in conjunction with the VB interface are performed. Five wires of the shape memory alloy (SMA-Ti<SUB>50</SUB>Ni<SUB>45</SUB>Cu<SUB>5</SUB> with 0.6 mm in Φ and 0.06 m in length) are arranged in parallel with a span of 0.0025 m. The SMA-made wires are connected with two spans (0.0025 and 0.002 m) along the wires using three pieces of plastic rod. Experimental work for investigating the characteristics of the SMA-made bending actuator is performed. Results reveal that under the ambient temperature of 26°C, the finger-shaped bending actuator will provide a bending torque of 0.078NM at a swinging angle of 72° when the SMA-made bending actuator is heated within 33-51°C.
[Show abstract][Hide abstract] ABSTRACT: For the purpose of integrating the value of agriculture and lowering the cost of production expenses, a modern farming industry equipped with a remote automatic controlling system via the internet and a web camera is proposed in this study. In this study, the image of a plant will be forwarded to a server using a USB and a Web Cam. That image will be transported to a client using a TCP/IP protocol. Additionally, the green house will be equipped with a thermal detector, a water-spraying unit, a fan, a heating unit and a sunlight-proof unit. The control center will send the command to these units via RS232/RS485 protocol to engage them. The control system will also automatically detect current temperature in the greenhouse. The appropriate service, including sunlight-proof, ventilation and water-spraying, will be performed when the temperature has risen appropriately. The heating unit will also be actuated when the temperature in the greenhouse has fallen. The status of the green house shown on the server will be forwarded to the client via a TCP/IP protocol. The system mentioned above will be used to develop a remote monitoring interface via a TCP/IP protocol. Results reveal that the temperature for a greenhouse can be controlled online at the specified range of temperature using various heating/cooling strategies. Besides, the user will be able to monitor the plant online without going on site. Consequently, the expenses of the plant’s production will be effectively lowered while the quality of plant will be greatly improved.
[Show abstract][Hide abstract] ABSTRACT: To strengthen limbs which are injured in an accident, a traditional rehabilitation device has been adopted. However, it is heavy and complex, a light-weight body joint bending actuator which is made of a Shape Memory Alloy (SMA) and is simpler than traditional rehabilitation devices is therefore proposed. Here, an SMA-made actuator can offer the resistance needed for a rehabilitation program. A Ti-Ni based SMA is adopted for the body joint bending actuator. To facilitate the swinging angle and the related bending torque, various structures of the SMA-made body joint bending actuators (a one-bunch SMA actuator and a six-bunch SMA actuator) have been adjusted in the experimental work by varying the number of SMA fibers in a bounded bunch. Results reveal that the structure-A (a six-bunch SMA fiber with 8 fibers per bunch) and the structure-B (a one-bunch SMA actuator with 50 fibers per bunch) have similar functions- the bending angle is 158° and the maximum bending torque is 0.155 Nm. Moreover, depending on the patient’s condition, both the maximum swinging angle and the velocity are adjustable by the patient via the PC-based control system. In addition, to avoid damage to the actuator, a maximum operating temperature of 90°C is preset on the SMA.
[Show abstract][Hide abstract] ABSTRACT: In this study, not only Taguchi Method but also ANSYS in providing an economical and effective advance to the optimum design of the rib for a plastic injected product are introduced. The analytical model of a rectangular thermoplastic Acrylonitrile Butadiene Styrene (ABS) plastic cover with rib of given thickness (2.8 mm) was selected and constructed based on design experiences and the dimensions as well as the width of the rib were selected as the control factors for Taguchi Method. The deflection under a constant force of 150 Newton at the back centre of the cover was defined as quality characteristic. Additionally, the deformation experiment on a fixed thin beam was compared with the analytical result from ANSYS to verify the reliability of structure analysis from associated parameter setup and boundary condition operation. The L<sub>9</sub>(3<sup>4</sup>) orthogonal array from Taguchi Method was moreover arranged to establish nine sets of finite element analysis models. Through Taguchi Method, the optimum design parameters were furthermore received from minimum deformation at back centre of the plastic cover analyzed by ANSYS. It is shown that the optimum structural parameters of a plastic rib can surely be effectively found with the integration of both Taguchi Method and ANSYS. Therefore, an Expert System of optimum design for various shapes of ribs can then be constructed through this study. This study exactly contributes a novel technique to the rib design for plastic injection industry in minimizing the development period of a new product.
[Show abstract][Hide abstract] ABSTRACT: This study mathematically presents an optimum material removal control model, where the Material Removal Rate (MRR) is comprehensively introduced, to accomplish the dynamic machining control and tool life determination of a cutting tool under an expected machining quantity. To resolve the incessant cutting-rate control problem, Calculus of Variations is implemented for the optimum solution. Additionally, the decision criteria for selecting the dynamic solution are suggested and the sensitivity analyses for key variables in the optimal solution are fully discussed. The versatility of this study is furthermore exemplified through a numerical illustration from the real-world industry with BORLAND C++ BUILDER. It is shown that the theoretical and simulated results are in good agreement. This study absolutely explores the very promising solution to dynamically organize the MRR in minimizing the machining cost of a cutting tool for the contemporary machining industry.
[Show abstract][Hide abstract] ABSTRACT: To improve the precision in the recognition process, a new algorithm (the image division method-IDM) is proposed. Recently, to meet various client requisitions, a flexible manufacturing process applied to various products of smaller quantity has become the trend. Even though the above new method can improve deficiency recognition in PCBAs, a huge quantity of samples used in off-line training is still obligatory. Unfortunately, the method is not suitable for a process that includes various products of smaller quantity. Moreover, not all deficiencies can be fully recognized by a single algorithm. To overcome the above drawbacks and increase the recognition rate, a combination of these algorithms in conjunction with a neural network system, which will increase the recognition rate with fewer samples, is proposed. Consequently, results reveal that deficiency recognition can be improved when the IDM in conjunction with other AOI algorithms are linked with a neural network.