• 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.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.36 no.12
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• pp.1585-1590
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• 2012

Engineering plastics are used in instrument panels, interior trim, and other vehicle applications, and the thermomechanical behaviors of plastic materials are strongly influenced by many environmental factors such as temperature, sunlight, and rain. As the material properties change, the mechanical parts create unexpected noise. In this study, the dynamic mechanical property changes of plastics used in automobiles are measured to investigate the temperature effects. Viscoelastic properties such as the glass transition temperature and storage modulus and loss factor under temperature and frequency sweeps were measured. The data were compared with the original ones before aging to analyze the behavior changes. It was found that as the temperature increased, the storage modulus decreased and the loss factor increased slightly.

• Journal of the Korean Crystal Growth and Crystal Technology
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• v.16 no.6
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• pp.244-249
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• 2006

Electrostatic spray pyrolysis, a novel fabrication technique, has been used in this study to prepare calcium phosphate nano powders. Final annealing was done at $400^{\circ}C$ for 30min in air. The hydroxyapatite - forming ability of the annealed powder has been evaluated in Eagle's minimum essential medium solution (MEM). X-ray diffraction analysis, field emission - scanning electron microscope, energy dispersive X-ray spectroscope, and Fourier transform infrared spectroscope were used to characterized the annealed powders after immersion in MEM. The powder with an amorphous structure induced hydroxyapatite formation on their surfaces after immersion fer 15 days.

• Journal of the Korea Society of Computer and Information
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• v.15 no.8
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• pp.157-161
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• 2010

Most of air pollution in a metropolis is the result of exhaust gas emissions from automotive vehicles, and the world-wide regulation against environmental pollution is becoming more strict. Moreover the demand on development and supply of an environment-friendly automobile is increasing and the market share about that is expected to grow rapidly in this time of high oil price. The secondary batteries the most important component to store the electrical energy in hybrid electric vehicle. It needs to the higher power characteristics to emit the energy instantaneous. In this paper, we proposed the system to monitor reliably the charge and discharge states of the secondary batteries for hybrid electric vehicle. The material is about SW and HW module the software and hardware module mounted on the charge and discharge system and the monitoring system to control the charge and discharge performance effectively.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.8
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• pp.4123-4141
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• 2019

Autonomous driving technology is divided into 0~5 levels. Of these, Level 5 is a fully autonomous vehicle that does not require a person to drive at all. The automobile industry has been trying to develop Level 5 to satisfy safety, but commercialization has not yet been achieved. In order to commercialize autonomous unmanned vehicles, there are several problems to be solved for driving safety. To solve one of these, this paper proposes 'A Deep Learning Part-diagnosis Platform(DLPP) based on an In-vehicle On-board gateway for an Autonomous Vehicle' that diagnoses not only the parts of a vehicle and the sensors belonging to the parts, but also the influence upon other parts when a certain fault happens. The DLPP consists of an In-vehicle On-board gateway(IOG) and a Part Self-diagnosis Module(PSM). Though an existing vehicle gateway was used for the translation of messages happening in a vehicle, the IOG not only has the translation function of an existing gateway but also judges whether a fault happened in a sensor or parts by using a Loopback. The payloads which are used to judge a sensor as normal in the IOG is transferred to the PSM for self-diagnosis. The Part Self-diagnosis Module(PSM) diagnoses parts itself by using the payloads transferred from the IOG. Because the PSM is designed based on an LSTM algorithm, it diagnoses a vehicle's fault by considering the correlation between previous diagnosis result and current measured parts data.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.221-223
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• 2016

Currently in the automobile market, models with many convenient functions combined with IT have been released. This change has a strength that there could be many convenient and useful functions related to driving while flaws of vehicles caused by malfunctions of these electronic equipments could trigger serious incidents. Among them, the sudden unintended acceleration considered as the most serious is a serious flaw that could threaten driver's life. However, the causes for sudden acceleration incidents have not been clearly investigated with no coping measures. As manufacturers shift the responsibility to drivers' carelessness, drivers' burden is continuously increasing. Thus, this paper designed the system to cope with sudden acceleration incidents by changing conditions of controlling parts like accelerator and brake, and internal image of the driver's seat into data through the integrated module.

• Journal of Mechanical Science and Technology
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• v.20 no.4
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• pp.437-446
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• 2006

Laser vision inspection systems are becoming popular for automated inspection of manufactured components. The performance of such systems can be enhanced by improving accuracy of the hardware and robustness of the software used in the system. This paper presents a new approach for enhancing the capability of a laser vision system by applying hardware compensation and using efficient analysis software. A 3D geometrical model is developed to study and compensate for possible distortions in installation of gantry robot on which the vision system is mounted. Appropriate compensation is applied to the inspection data obtained from the laser vision system based on the parameters in 3D model. The present laser vision system is used for dimensional inspection of car chassis sub frame and lower arm assembly module. An algorithm based on simplex search techniques is used for analyzing the compensated inspection data. The details of 3D model, parameters used for compensation and the measurement data obtained from the system are presented in this paper. The details of search algorithm used for analyzing the measurement data and the results obtained are also presented in the paper. It is observed from the results that, by applying compensation and using appropriate algorithms for analyzing, the error in evaluation of the inspection data can be significantly minimized, thus reducing the risk of rejecting good parts.

• Korean Journal of Computational Design and Engineering
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• v.16 no.6
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• pp.414-423
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• 2011

The collaboration hub has been developed since 2004 as an online collaboration space, which supports the various collaborative works amongst small and medium enterprises using information sharing, collaboration project management, and project history management. Because of the change of manufacturing environment and rapid development of information technologies, it should be evolved from the existing version called Collaboration Hub 1.0. Recently, a lot of manufacturing enterprises know the importance of business process management(BPM) and start to introduce BPM systems. Our research group has developed the new version of Collaboration Hub 1.0 called Collaboration Hub 2.0 which contains the BPM concept, the consistent product data management, and the specialized functions overcoming the various variation of manufacturing. This study scrutinizes the meaning and role of the Collaboration Hub 2.0 and introduces an application study of it to the value chain of automobile module development consisted of a leading company and subcontractors. The case study covers the definition, execution and monitoring of collaboration process, the specialized functions overcoming the manufacturing variation and the key performance index of collaboration business.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2002.05a
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• pp.279-282
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• 2002

In this paper, we present a new method for monitoring of ECU's self diagnostic signals of vehicle without wire. In order to measure the ECU's self diagnostic signals, the interfaced circuit is designed to communicate ECU and a designed display terminal according to the ISO, SAE regulation of communication protocol standard. A 80C196KC processor is used for communicating ECU's self diagnostic signals and the results are sent to PDA monitoring system. Software on PDA is developed to monitor the ECU's self diagnostic signals using the Embedded Visual C++ compiler in which RS232 port is programmed by half duplex method. The algorithms for measuring the ECU's self diagnostic signals are verified to monitor ECU's state. At the same time, the information to fix the vehicle's problem can be shown on the developed PDA software. The possibility for remote measurement of ECU self diagnostic signal using PDA is also verified through the developed systems and algorithms.

• Transactions of Materials Processing
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• v.18 no.7
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• pp.538-543
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• 2009

The cowl cross bar of an automobile is a frame component that is installed inside the cockpit module to provide a guide surface, to which functional components for electricity and air condition are attached. In the recent years, the geometries of cowl cross bars are getting more complex in order to meet the demands of a wide variety of embedded functional components and the reduced weight of frame parts with enhanced mechanical and noise/vibration characteristics. There for, welding processes between tubes with different diameters are widely conducted while the welded parts are experiencing various problems such as undermined appearance, low production efficiency and poor mechanical characteristics. Therefore, this paper seeks to develop an one-piece forming process which eliminate welding process for the cowl cross bar by applying the tube drawing process. However, it was predicted that a conventional tube drawing can not be applied directly to the current part since the area reduction ratio of the drawing process reaches 51.7% which exceeds the general limiting value. Therefore, in this study, a combined drawing process which adds a compressive force to a tensile force of the conventional drawing process was proposed and 2-stage drawing process was designed by using CAE analyses. In addition, drawing tryouts were carried out by using the manufactured combined drawing machine in order to verify the designed process.