• The Transactions of The Korean Institute of Electrical Engineers
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• v.60 no.3
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• pp.639-647
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• 2011

In this paper, we introduce a design methodology of data-centroid Radial Basis Function neural networks with extended polynomial function. The two underlying design mechanisms of such networks involve K-means clustering method and Particle Swarm Optimization(PSO). The proposed algorithm is based on K-means clustering method for efficient processing of data and the optimization of model was carried out using PSO. In this paper, as the connection weight of RBF neural networks, we are able to use four types of polynomials such as simplified, linear, quadratic, and modified quadratic. Using K-means clustering, the center values of Gaussian function as activation function are selected. And the PSO-based RBF neural networks results in a structurally optimized structure and comes with a higher level of flexibility than the one encountered in the conventional RBF neural networks. The PSO-based design procedure being applied at each node of RBF neural networks leads to the selection of preferred parameters with specific local characteristics (such as the number of input variables, a specific set of input variables, and the distribution constant value in activation function) available within the RBF neural networks. To evaluate the performance of the proposed data-centroid RBF neural network with extended polynomial function, the model is experimented with using the nonlinear process data(2-Dimensional synthetic data and Mackey-Glass time series process data) and the Machine Learning dataset(NOx emission process data in gas turbine plant, Automobile Miles per Gallon(MPG) data, and Boston housing data). For the characteristic analysis of the given entire dataset with non-linearity as well as the efficient construction and evaluation of the dynamic network model, the partition of the given entire dataset distinguishes between two cases of Division I(training dataset and testing dataset) and Division II(training dataset, validation dataset, and testing dataset). A comparative analysis shows that the proposed RBF neural networks produces model with higher accuracy as well as more superb predictive capability than other intelligent models presented previously.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.11
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• pp.483-490
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• 2016

Automobile door latch is a fine design and assembly techniques are required in order to produce them in a small component assembly shape such as a spring, injection products, a small-sized motor. The door latch is fixed to not open the door of the car plays an important role it has a direct impact on the driver's safety. In this study, during trimming of the terminals of the connector main components of the car door latch, reduce rollover and conducted a research to find a suitable effective shear surface. Using the Taguchi method with orthogonal array of Finite Element Analysis and optimal Design of Experiments were set up parameters for the shear surface quality of the car door latch connector terminals. The design parameters used in the analysis is the clearance, the radius, and the blank holding force, the material of the connector terminal is a C2600. Trimming process optimum conditions suggested by the analysis has been verified by experiments, the shear surface shape and dimensions of a final product in good agreement with forming analysis results.Taguchi method from the above results in the optimization for the final rollover and effective shear surface improved for a vehicle door latch to the connector terminal can be seen that the applicable and useful for a variety of metal forming processes other than the trimming process is determined to be applicable.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.34 no.9
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• pp.1137-1143
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• 2010

This paper presents a fatigue design method for plug- and ring-type gas-welded joints, which takes into account the effects of welding residual stress. To develop this method, we simulated the gas-welding process by performing nonlinear finite element analysis (FEA) To validate the FEA results, numerically calculated residual stresses in the gas welds were then compared with experimental results obtained by the hole-drilling method. To evaluate the fatigue strength of plug- and ring-type gas-welded joints influenced by welding residual stresses, the use of stress amplitude $(\sigma_a)_R$, which includes the welding residual stress in gas welds, is proposed $(\sigma_a)_R$ on the basis of a modified Goodman equation that includes the residual stress effects. Using the stress amplitude $(\sigma_a)_R$ at the hot spot point of gas weld, the relations obtained as the fatigue test results for plug and ring type gas welded joints having various dimensions and shapes were systematically rearranged to obtain the $(\sigma_a)_R-N_f$ relationship. It was found that more systematic and accurate evaluation of the fatigue strength of plug- and ring-type gas-welded joints can be achieved by using $(\sigma_a)_R$.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.37 no.8
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• pp.975-981
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• 2013

A robust optimization is only one of the ways to minimize the effects of variances in design variables on the objective functions at the preliminary design stage. To predict the variances and to formulate the probabilistic constraints are the most important procedures for the robust optimization formulation. Though several methods such as the process capability index and the six sigma technique were proposed for the prediction and formulation of the variances and probabilistic constraints, respectively, there are few attempts using a percent defective which has been widely applied in the quality control of the manufacturing process for probabilistic constraints. In this study, the robust optimization for a lower control arm of automobile vehicle was carried out, in which the design space showing the mean and variance sensitivity of weight and stress was explored before robust optimization for a lower control arm. The 2nd order Taylor expansion for calculating the standard deviation was used to improve the numerical accuracy for predicting the variances. Simplex algorithm which does not use the gradient information in optimization was used to convert constrained optimization into unconstrained one in robust optimization.

• Journal of Korean Society of Environmental Engineers
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• v.28 no.4
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• pp.421-428
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• 2006

Systematic improvement of the environmental performance of industrial products is a core element of good business. Improving the overall environmental performance of products is envisaged as one of the most important strategic goals and objectives in many company policies. This paper demonstrates an Ecodesign approach to develop a product in a systematical way. The objective of this research is two-folds-describing a systematic procedure of implementing Ecodesign in a company and giving a real case example to demonstrate the application of the proposed Ecodesign methodology. The methodology was based on Wimmer et al and consists of seven steps out of the twelve steps for integrating significant environmental aspects of a product and environmental issues resulting from the stakeholder requirements into product design and development. Together with the Ecodesign team of a major domestic car manufacturer the Ecodesign of a car fuel tank unit has been chosen for the case study presented in the paper. The application of the proposed methodology to the fuel tank unit of a car indicates that practical target specifications of the fuel tank unit were derived systematically. This indicates that the seven steps approach can be a viable Ecodesign method for manufacturers to integrate environmental aspects of their products into their product design and development processes.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.5
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• pp.73-80
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• 2019

In this paper, the basic design of the electric hydraulic sliding deck system was developed to develop the electric hydraulic sliding deck which can easily upgrade the loading and unloading of the agricultural machinery by modifying the load of the existing 5ton cargo truck. Through the kinematic analysis, The length and structure of the specimens were designed and the materials were selected for safety and economical efficiency through structural analysis. For the basic design of the sliding deck system, we surveyed the agricultural machinery to be transported and selected necessary elements. And have devised a system using a hydraulic cylinder that can meet selected factors. Through the simplified modeling and kinematic diagram, the operating structure of the sliding deck system was grasped and the minimum length and structure of the sliding deck were devised, In order to select the sliding deck material satisfying, four representative materials used in the automobile structure were selected. Selected the parts to be analyzed and compared the stresses and deformation amounts according to the material under the conditions of maximum load through simplified modeling. As a result, SS41P material was used to reduce the unit cost and to achieve safety. The winch system was designed and applied for moving up and down of the farm machinery which can not be operated.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.5
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• pp.197-217
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• 2022

As automated vehicle(AV) accidents continue to occur, the importance of safety verification to ensure the safety and reliability of automated driving system(ADS) is being emphasized. In order to encure safety and reliability, it is necessary to define an operational design domain(ODD) of the ADS and verify the safety of the ADS while evaluating its ability to respond in situations outside of the ODD. To this, international associations such as SAE, BSI, NHTSA, ISO, etc. stipulate ODD standards. However, in Korea, there is no standard for the ODD, so automated vehicles's ODD expression method and safety verification and evaluation are not properly conducted. Therefore, this study analyzed overseas ODD standards and selected suitable ODD for safety verification and evaluation, and presented evaluation elements for ADS safety verification and evaluation. In particular, evaluation elements were selected by analyzing the evaluation environment of the automated driving experimental city (K-City) that supports the development of ADS technology.

• Journal of Korea Multimedia Society
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• v.15 no.1
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• pp.166-178
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• 2012

Depending on the launch of the emotional generation, many researches developing the automobile preference color which reflects the preference color of the consumers are advanced. This study investigate preferred colors and emotional image of the car color reflecting the product design and consuming psychology. According to surveyed ages and gender, there are eight categories (women/20 's, 30 "s, 40 's, and 50 's and men/20 's, 30 "s, 40 's, and 50 's) based on the 30 persons. Preferred color is black, white, sky blue, purple, pink, and orange order. If black, white and gray are excluded, remained in the order of blue, yellow, and purple. There are big deferences on preference color when emotional preference color of cars is showed or not. Practically, the preference color is following in sensitivity. However the car image is recognized actually with conservativeness, they hesitates selection of the bright chromatic color car.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.37 no.2
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• pp.161-168
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• 2013

Nowadays, one of the most interested area of automobile industry is the production of vehicle which has collision safety and ability to produce less amount of $CO_2$. The achievement of such a dual performance is done by choosing the materials like dual phase steel, ferrite bainite steel, etc. These steels have been used in automotive chassis and body parts, and also used to be formed by hole flanging to meet the goal of strength and design requirement. The formability of sheet material was experimented by hole expansion test and the judgement relies on human eye and his experience. This manual judgement involves many errors and large deviation. This paper develops the automatic crack recognition system which finds a crack based on CCD image to complement the problem of the current method depending on human's sense.

• Journal of the Microelectronics and Packaging Society
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• v.22 no.4
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• pp.105-109
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• 2015

In this study, a new airbag sensor packaging technique of directly attachment by adhesive to the automobile frame is introduced. To assess the feasibility for the packaging, a test instrument was manufactured to examine the impact sensibility by drop tests. The conventional sensor module attached mechanically by bolts with plastic housing and the new sensor packaging were installed to aluminum channel, and the results were compared with each other. Numerical analysis was also performed to investigate the signal characteristics created by the sensors. The preliminary results showed that the pattern of the MEMS sensor signal was strongly dependent on the structural behavior of the frame where the sensors were installed, which indicated the complexity of the packaging design for proper airbag deployments.