A knowledge-based architecture framework of design for assemble system (DAEx)

Malaysian manufacturing sector has played an important role to boost up the economy at the domestic market. Today, the Malaysian manufacturing sector has facing the challenges that the manufacturing industry need to stay competitive to compete at the global market. Manufacturing cost of the company will directly effect on the company profit as well as product cost. Manufacturing cost may include material cost, labor cost and overhead. Various type of techniques and methods have been used to lower the manufacturing cost. With the advancement of computer, computer software has been used to solve the manufacturing sector problem. In this research, expert system has been proposed to develop a diagnosis system to solve the problem of design of assemble. The effective assembly design of a product will able to reduce the total assembly time as well as reduce the manufacturing cost. An architecture framework of the developed Design for Assemble Expert system (DAEx) is described. The DFA expert system is developed using expert system shell to support the vehicle seat manufacturing process. The main aim is to reduce the assembly time and cost of vehicle seat manufacturing process.</p

Effects of Biodiesel Towards CI Engine Performance and Emission: A Brief Review

Biodiesel is a biofuel that has great potential to become an alternative fuel as it can be directly used in the Compression Ignition (CI) engine with very little or without any modification needed. From this review, it is identified that the quality of the biodiesel produced and the final performance of the engine is mainly depending on biodiesel feedstock, biodiesel production and engine technology. Different feedstock has a different composition, hence will produce biodiesel with different fuel properties that contribute to engine performance and emission. Nevertheless, proper production process and advanced engine technology can overcome the biodiesel drawback

The application of expert system:a review of research and applications

The development of Artificial Intelligent (AI) technology system can be a wide scope; for an instant, there are rule-based expert system, frame-based expert system, fuzzy logic, neural network, genetic algorithm, etc. The remarkable achievement applications of AI has been reported in different disciplines including field of medicals, militaries, chemistry, engineering, manufacturing, management, and others. Its' discoveries and contributions through of AI study since the early 1970s were be significant step to enhance better performance of human work activities and probably replaced by these technologies. Today, there a lot of intelligent machine is available in everywhere such as airport gate scanner, movie theater counter ticket, vending machine, ATM machine, washing machine, etc. Expert system has been used widely in many areas and industries. This paper is described the current research and development of expert system.</p

Simulation of hybrid electric vehicle based on a series drive train layout

This paper provided a validated modeling and a simulation of a 6 degree freedom vehicle longitudinal model and drive-train component in a series hybrid electric vehicle. The 6-DOF vehicle dynamics model consisted of tire subsystems, permanent magnet synchronous motor which acted as the prime mover coupled with an automatic transmission, hydraulic brake subsystem, battery subsystem, alternator subsystem and internal combustion engine to supply the rotational input to the alternator. A speed and torque tracking control systems of the electric power train were developed to make sure that the power train was able to produce the desired throttle torque in accelerating the vehicle. A human-in-the-loop-simulation was utilized as a mechanism to evaluate the effectiveness of the proposed hybrid electric vehicle. The proposed simulation was used as the preliminary result in identifying the capability of the vehicle in terms of the maximum speed produced by the vehicle and the capability of the alternator to recharge the battery. Several tests had been done during the simulation, namely sudden acceleration, acceleration and braking test and unbounded motion. The results of the simulation showed that the proposed hybrid electric vehicle can produce a speed of up to 70 km/h with a reasonable charging rate to the battery. The findings from this study can be considered in terms of design, optimization and implementation in a real vehicle

A knowledge-based architecture framework of design for assemble system (DAEx)

Malaysian manufacturing sector has played an important role to boost up the economy at the domestic market. Today, the Malaysian manufacturing sector has facing the challenges that the manufacturing industry need to stay competitive to compete at the global market. Manufacturing cost of the company will directly effect on the company profit as well as product cost. Manufacturing cost may include material cost, labor cost and overhead. Various type of techniques and methods have been used to lower the manufacturing cost. With the advancement of computer, computer software has been used to solve the manufacturing sector problem. In this research, expert system has been proposed to develop a diagnosis system to solve the problem of design of assemble. The effective assembly design of a product will able to reduce the total assembly time as well as reduce the manufacturing cost. An architecture framework of the developed Design for Assemble Expert system (DAEx) is described. The DFA expert system is developed using expert system shell to support the vehicle seat manufacturing process. The main aim is to reduce the assembly time and cost of vehicle seat manufacturing process

Three-Dimensional Uniaxially Aligned Nanofibre Construct Using Secondary Electrode Assisted Gap Electrospinning

Electrospinning is a simple, versatile, and scalable method of producing polymeric nanofibres from a solution or melt using electric charge. Due to their nanometre-scale diameters, electrospun fibres have been the subject of much study for applications that require a high surface area to volume ratio. However, challenges remain in spatially controlling the deposition of electrospun fibres due to the chaotic nature of electrospinning process. Due to the bending instability, electrospun fibres are typically deposited as random orientated fibres and furthermore, there is no control over the location where the fibres are deposited on the collector. Several techniques to control the deposition of electrospun fibres have been proposed; including the use of modified collectors and by reducing the tip-to-collector distances. Changes in solvent evaporation and the bending instability may reduce stretching of the fibre, resulting in larger diameter fibres. Recently, a new technique for controlling the deposition of electrospun fibres using charged secondary electrodes has been proposed and the results have been promising. In this study, a new approach of directly depositing uniaxially aligned nanofibres onto a holdable structure is demonstrated. The results suggest that the introduction of secondary electrodes charged with time-varying potentials could improve the alignment and distribution of fibres in gap electrospinning process. The new technique would be able to produce fibres for applications which have been previously limited by physical constraint of conventional electrospun fibres

The application of expert system: a review of research and applications

The development of Artificial Intelligent (AI) technology system can be a wide scope; for an instant, there are rule-based expert system, frame-based expert system, fuzzy logic, neural network, genetic algorithm, etc. The remarkable achievement applications of AI has been reported in different disciplines including field of medicals, militaries, chemistry, engineering, manufacturing, management, and others. Its' discoveries and contributions through of AI study since the early 1970s were be significant step to enhance better performance of human work activities and probably replaced by these technologies. Today, there a lot of intelligent machine is available in everywhere such as airport gate scanner, movie theater counter ticket, vending machine, ATM machine, washing machine, etc. Expert system has been used widely in many areas and industries. This paper is described the current research and development of expert system

The application of expert system:a review of research and applications

\u3cp\u3eThe development of Artificial Intelligent (AI) technology system can be a wide scope; for an instant, there are rule-based expert system, frame-based expert system, fuzzy logic, neural network, genetic algorithm, etc. The remarkable achievement applications of AI has been reported in different disciplines including field of medicals, militaries, chemistry, engineering, manufacturing, management, and others. Its' discoveries and contributions through of AI study since the early 1970s were be significant step to enhance better performance of human work activities and probably replaced by these technologies. Today, there a lot of intelligent machine is available in everywhere such as airport gate scanner, movie theater counter ticket, vending machine, ATM machine, washing machine, etc. Expert system has been used widely in many areas and industries. This paper is described the current research and development of expert system.\u3c/p\u3