Similar articles

Abstract: The purpose of this study is to develop a Web-based on-machine mould identification and measurement system. The Web-based mould identification system matches obtained vision information with CAD database. Developed Web-based system is to exchange messages between a server and a client by making of ActiveX control, and the result of mould identification is shown on Web-browser at remote site. For effective feature classification and extraction, the signature method is used to make meaningful information from obtained image data. For on-machine measurement of the matched mould, inspection database is constructed from CAD database using developed inspection planning methods. The results are simulated and analyzed using developed system to verify the effectiveness of the proposed methods.

[1] Ahn, J.K., Cho, S.H., 1996. A Fundamental Study on the Feature Recognition Using Image Processing Technology. A Summary Book of Science and Technology, 1st Edition.

[2] Caskey, G., Palanivelu, D., Raja, J., Yang, J., Chen, K., Hocken, R., Wilson, R., Hari, Y., 1990. Sampling Techniques for Coordinate Measuring Machine. Design and Manufacturing Systems Conference, p.779-786.

[3] Chang, T.C., Wysk, R.A., 1985. An Introduction to Process Planning Systems. Prentice-Hall, Inc., Englewood Cliffs, New Jersey, USA.

[4] Cho, M.W., Kim, K., 1995. New inspection planning strategy for sculptured surfaces using coordinate measuring machine. International Journal of Production Research, 33:427-444.

[5] Cho, M.W., Seo, T.I., 2002. Inspection planning strategy for the on-machine measurement process based on CAD/CAM/CAI integration concept. The International Journal of Advanced Manufacturing Technology, 19(8):607-617.

[6] Cho, H.S., Lee, H., Lee, K.I., Noh, S.D., Shim, Y.B., 1995. A process planning system using group technology and rule-base. IE Interfaces, Korean Institute of Industrial Engineers, 8:221-230.

[7] Cho, M.W., Kim, J.D., Kwon, O.Y., Seo, T.I., 2000. Reverse engineering of compound surfaces using boundary detection method. KSME International Journal, 14:1104-1113.

[8] Cho, M.W., Shin, B.C., Kang, J.J., Cho, Y.J., Heo, Y.M., 2003. Development of the MES Framework for Injection Mold Plant. KSPE Conference, 3:1239-1242.

[9] Choi, J.H., Kim, D.W., Yoon, G.S., Kim, J.K., Park, K.M., Cho, M.W., 2003. Automatic Recognition of In-Process mold Dies Based on Reverse Engineering Technology. KSMTE Conference, 3:420-425.

[10] Choi, J.H., Cho, M.W., Jeon, B.C., Kim, G.H., 2004. Development of Web-based Mold Manufacturing Process Monitoring & Control System Using G-code Control. KSPE Conference, p.269-272.

[11] Jung, M.S., Kim, B.S., Park, H.S., 2001. Architecture of Web-based real-time monitoring system. Journal of Control Automation and Systems Engineering, 7:632-639.

[12] Lee, J., 2003. E-manufacturing-fundamental, tools and transformation. Robotics and Computer-Integrated Manufacturing, 19(6):501-507.

[13] Lee, J.W., Kim, M.K., Kim, K., 1994. Optimal probe path generation and new guide point selection methods. Engineering Applications of Artificial Intelligence, 7(4):439-445.

[14] Lee, G., Mou, J., Shen, Y., 1997. Sampling strategy design for dimensional measurement of geometric features using coordinate measuring machine. International Journal of Machine Tools and Manufacture, 37(7):917-934.

[15] Mäntylä, M., Nau, D.D., Shah, J.J., 1994. Advances in Feature-Based Manufacturing. Elsevier Science B.V., Amsterdam, Netherlands.

[16] Muto, K., 2003. Advanced technology for manufacturing engineering development: XML technology on a system that enables user to view required information from the work shop through a Web browser. JSAE, 24:303-312.

[17] Rogers, M., 1994. Case Study of Feature Representation in STEP, Part 48. Technical Report, Design Automation Laboratory, Department of Mechanical Engineering, Arizona State University, USA.

[18] Woo, T.C., Liang, R., 1993. Dimensional measurement of surfaces and their sampling. Computer-Aided Design, 25(4):233-239.