• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2011.06a
• /
• pp.113-114
• /
• 2011

• Journal of the Korean Society of Manufacturing Process Engineers
• /
• v.20 no.3
• /
• pp.122-128
• /
• 2021

Machining operations require removal of chips to keep the coolant clean and fresh throughout the operation time. In this study, microchip removal equipment was developed using AutoCAD and CATIA programs for 3D modeling and 2D draft. In addition, the flow analysis and electromagnetic field analysis of the equipment were performed using the COMSOL Multiphysics program. The flow design of the coolant oil tank was realized on the basis of fluid analysis results. Further, on the basis of magnetic density analysis, a conveyer was designed for effectively removing metal microchips in the tank by using arrays of neodymium permanent magnets.

• Journal of the Korean Society of Manufacturing Process Engineers
• /
• v.20 no.2
• /
• pp.80-85
• /
• 2021

In the fourth industrial revolution, the demand for metal three-dimensional (3D) printing technology is rapidly increasing. Metal 3D printing is an efficient method for manufacturing products because the method reduces material waste compared to subtractive manufacturing. In addition, products with complex shapes, such as turbine blades, can be easily produced using metal 3D printing because the method offers a high degree of freedom. However, due to the long production time of metal 3D printing, mass production is impossible, and post-processing is necessary due to its low precision. Therefore, it is necessary to develop a new hybrid process that can efficiently process metals and to develop a metal 3D-printing-based hybrid processing system technology to secure high processing precision and manufacture complex shapes. In this study, the structural stability of a metal 3D printer based hybrid machining center was analyzed through structural analysis before its development. In addition, we proposed a design modification that can reduce the weight and increase the stiffness of the hybrid machining center by performing shape lightning based on the structural analysis results.

• Journal of Korean Society for Atmospheric Environment
• /
• v.24 no.5
• /
• pp.574-583
• /
• 2008

The results of HAPs emission data using TRI (Toxic Release Inventory), SODAM (Source Data Management system) were investigated and the emissions of 7 heavy metals from their sources and emission processes were also analyzed. Questionnaire for source data analysis as well as the stack sampling were carried out for 17 factories among 6 selected industrial types. The annual amount of emissions was estimated based on the measured concentration and flow rates. All sources were operated with high efficiency control devices and the concentration levels of all heavy metals were shown to be below 0.1 to of regulation standard. The highest emission source of heavy metals was steel manufacturing industry with the annual emission of 342.9 kg/yr and followed by hazardous waste incinerator, paint manufacturing, nonferrous metal manufacturing, rolling & press goods manufacturing and storage battery manufacturing. In the case of Hg, the emissions were quite significant from electric acros of steel manufacturing industry, although the concentration level was below the emission standard, showing the necessity of specific care for its management.

• Journal of the Korea Safety Management & Science
• /
• v.12 no.3
• /
• pp.283-294
• /
• 2010

The present paper deals with an analysis of relationship among technical human resources management as a precursor, technology innovation activity and achievements of technical innovation on the basis of preceding empirical studies on technology innovation activities of manufacturing corporations. The analysis shows that First, the technical human resources management is found to have influence upon technology innovation activity in various ways, implying that the role of technical human resources management as a key to technical innovation is most important of all to enable manufacturing companies to gain edge in competition by means of technology innovation activity; and Second, technology innovation activity exercises impacts on the achievements of exploitative technology innovation as well as on the achievements of exploratory technology innovation on the part of manufacturing industry. The above findings prove that the level of technology innovation activity may be a source for superior competitiveness of manufacturing business as a result of technology innovation performance. Manufacturing corporations, thus, need to place more weight on stepping up their executive level of technology innovation activity factors than on increasing simply the level of technical investment.

• Journal of the Korean Society of Industry Convergence
• /
• v.22 no.5
• /
• pp.583-589
• /
• 2019

One of the core pillars of the Fourth Industrial Revolution is the innovation of the manufacturing industry. From the beginning, the 4th Industrial Revolution appeared in Germany under the concept of 'Industrial 4.0', which means a radical change in the manufacturing industry that can provide super intelligent product production and services based on artificial intelligence and big data. Since manufacturing innovation is a change in the industrial character of the entire nation, the initial role of government is important. Korea also has various policies related to the 4th Industrial Revolution, but there are still various problems to be solved. Therefore, this paper monitors and analyzes the public R&D projects of the advanced countries on manufacturing innovations in the background mentioned above, and through this, the policy implications are drawn.

• Korea Trade Review
• /
• v.45 no.4
• /
• pp.153-169
• /
• 2020

This study compares and analyzes the effects of GVC participation on export competitiveness in manufacturing and service industry in 36 OECD countries and 28 non-OECD countries. According to the statistical analysis result, the GVC participation had a negative impact on export competitiveness in manufacturing industry, while it had a positive impact in the service industry. In the case of the manufacturing industry, participation toward the backward GVC had a positive impact on export competitiveness before the financial crisis, besides, participation toward the forward GVC had a positive impact on export competitiveness. In the case of the service industry, export competitiveness through forward GVC participation has increased since the financial crisis has occurred, and backward GVC participation was estimated to have a negative impact on export competitiveness. The results of this study implies that, to secure export competitiveness, a converged approach of the manufacturing and service industries to upgrade the global value chain is needed.

• Journal of the Economic Geographical Society of Korea
• /
• v.19 no.3
• /
• pp.566-582
• /
• 2016

This study aims to analyze knowledge extension and diffusion trend among industries through technological convergence in non-Capital rural areas. A case of Sunchang, Korea examines knowledge extension trend of fermented soy product manufacturing industry. Patent application data are used to make technology convergence analysis and knowledge network analysis. Patent analysis results show that there are differences of knowledge extension trend between the whole country and Sunchang. Technologies of fermented soy product manufacturing in Sunchang is inclined to extend toward technologies related to fermented microorganism. Contrary to the whole country, knowledge extension in rural area like Sunchang is converged to technologies suitable for specialized but limited regional assets and human resources. Core actors of knowledge network of fermented soy product manufacturing in Sunchang are mainly public organizations such as local government, universities, and agencies or institutes. Recently technology sharing and extension is likely to occur through the cooperation between associative corporations and public organizations.

• Journal of Convergence for Information Technology
• /
• v.7 no.5
• /
• pp.177-182
• /
• 2017

As major ICT technologies such as IoT, cloud computing, and Big Data are being applied to manufacturing, smart factories are beginning to be built. The key of smart factory implementation is the ability to acquire and analyze data of the factory. Therefore, the need for a big data analysis platform is increasing. The purpose of this study is to construct a platform for big data analysis of manufacturing process and propose integrated method for analysis. The proposed platform is a RHadoop-based structure that integrates analysis tool R and Hadoop to distribute a large amount of datasets. It can store and analyze big data collected in the unit process and factory in the automation system directly in HBase, and it has overcome the limitations of RDB - based analysis. Such a platform should be developed in consideration of the unit process suitability for smart factories, and it is expected to be a guide to building IoT platforms for SMEs that intend to introduce smart factories into the manufacturing process.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2004.10a
• /
• pp.269-272
• /
• 2004

The target of this paper is the development of Web-based monitoring & control system which is for effective and economic management of mold manufacturing process. This system has three module; G-code Control, Monitoring Module and Result analysis module. Also, as the environment of development is based on internet, this system which is possible to the remote site management of manufacturing process works on Web. To be possible to control the manufacturing monitoring by client, each module is made ActiveX control and is based on socket communication. This system makes the foundation which is possible to manage the mold manufacturing process efficiently from remote site by matching real-time monitoring with manufacturing process in factory using G-code control and displaying the result of manufacturing using Ch-CGI.