• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2007.11a
• /
• pp.523-524
• /
• 2007

• Proceedings of the KSME Conference
• /
• 2005.11a
• /
• pp.212.1-212.1
• /
• 2005

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2003.10a
• /
• pp.29-29
• /
• 2003

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2008.06a
• /
• pp.971-972
• /
• 2008

• Journal of the Korean Society for Precision Engineering
• /
• v.23 no.8 s.185
• /
• pp.33-38
• /
• 2006

• Proceedings of the KIEE Conference
• /
• 2001.11c
• /
• pp.311-314
• /
• 2001

The objectives of this paper include the development of an agile prototype of SFFS, the $CAFL^{VM}$(Computer Aided fabrication of Lamination for Various Material), which is suitable for the multi-item and small-quantity production and various material fabrication. This paper includes remodeling of the layer slices for the 2D cutting, supplementing information of the layer slices and developing process conditions to fabricate products of various shape. And also includes developing control hardware as well as software by enhancing BOF of the manipulator to 3 degree for the precise 2D cutting. It will generate optimal layer trajectory considering the dynamic characteristics of the laser beam. The system can be used as a competitive agile protype system in terms of various materials, fabrication speed, and accuracy by CAD modeling precise layer slicing, material development, robot path control, and optimization of the support structure.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
• /
• 2003.05c
• /
• pp.19-22
• /
• 2003

For use in constructing highly sensitive thermal detectors, the present authors have been studying the preparation of Superconducting Flux Flow Sensor(SFFS). In this research, SFFS with five channel ($5{\mu}m$/1channel) has been fabricated based on the flux flow using high temperature superconducting thin films by the ICP etching technique. We have designed a bolometer based on the temperature dependence of the kinetic inductance of a superconducting flux flow thin film. In this paper examines the fabrications and flux flow resistance and thermometer responses of the highly sensitive sensor constructed of a thin YBCO film. It is also suggested that they will be applicable to a new type of flux flow sensor.

• Proceedings of the KSME Conference
• /
• 2007.05a
• /
• pp.1400-1403
• /
• 2007

The 3DP(three dimensional printing) technology is one of the SFF(solid freeform fabrication) technologies which has recently come into a spotlight due to its suitability to various field. A manufacturing process of product is using many pattern formation technology. The 3DP technology uses multi nozzle that can fabricate three dimensional object of high speed and accuracy. In this paper, we introduce a development of the office type solid freeform fabrication system. This system is used UV resin and multi-piezo head.

• Proceedings of the KSME Conference
• /
• 2007.05a
• /
• pp.1394-1399
• /
• 2007

Recently, Study of 3D freeform fabrication method was working in the various applications. For example, in the powder base, it's laminated using a binding method or laser sintering method. However, these methods are not suitable in the office environments because it dust with powder that is bad for health. In this paper, we introduce a method of 3D freeform fabrication using a curing of photo-polymer resin and construct a system has multi printing head. A photo-polymer curing method has simply fabrication process and high strength of manufacturing part. However, this method has a problem on the multi print-head system. Because multi-printing system has a other printing method compare with a single printing system. Therefore, we experiment a single head 3D printing and proposed a 3D printing method using a multi-piezo head.

• Transactions of the Korean Society of Mechanical Engineers A
• /
• v.31 no.6 s.261
• /
• pp.651-658
• /
• 2007

A new tree-structured neural network classifier is proposed for the automatic real-time inspection of cold-rolled steel strip surface defects. The defects are classified into 3 groups such as area type, disk type, area & line type in the first stage of the tree-structured neural network. The defects are classified in more detail into 11 major defect types which are considered as serious defects in the second stage of neural network. The tree-structured neural network classifier consists of 4 different neural networks and optimum features are selected for each neural network classifier by using SFFS algorithm and correlation test. The developed classifier demonstrates very plausible result which is compatible with commercial products having high world-wide market shares.