naa a22 4500 510822290 CHVBK 20180411083539.0 cr unu---uuuuu 180411e20130601xx s 000 0 eng 10.1007/s12541-013-0129-4 doi (NATIONALLICENCE)springer-10.1007/s12541-013-0129-4 Characterization and recognition of particles for improving cleanability in automotive production [Elektronische Daten] [Phan Bao, Sung Ko] The complicated systems for casting, anodizing, machining (drilling, milling, turning), high-pressure water jet (HPWJ) deburring, and brushing processes create many different kinds of particles: burr, cast and chip. These particles lodge inside the transmission, engine and crankshaft, and then damage the functions of these components, posing risks to drivers. Many researchers have endeavored to minimize these negative effects without clear understanding of the main sources. This investigation aims at clear recognition of these problems and suggests solutions to minimize or remove each kind of particle with high reliability based on experimental databases. By understanding the formation mechanism of each particle, a particle classification algorithm is developed and verified by comparison between the results from simulation and experiment. This research contributes to building a classification algorithm for specific parts like transmissions and engines by suggesting the source of each particle which is very important in cleanability. Korean Society for Precision Engineering and Springer-Verlag Berlin Heidelberg, 2013 Burr nationallicence Deburr nationallicence Cast nationallicence Chip nationallicence Cleanability nationallicence Bao Phan Department of Advanced Fusion Technology, Konkuk University, 120, Neungdong-ro, Gwangjin-gu, 143-701, Seoul, South Korea aut Ko Sung Department of Mechanical Design and Production Eng., Konkuk University, 120, Neungdong-ro, Gwangjin-gu, 143-701, Seoul, South Korea aut International Journal of Precision Engineering and Manufacturing Korean Society for Precision Engineering 14/6(2013-06-01), 977-984 2234-7593 14:6<977 2013 14 12541 https://doi.org/10.1007/s12541-013-0129-4 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s12541-013-0129-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Bao Phan Department of Advanced Fusion Technology, Konkuk University, 120, Neungdong-ro, Gwangjin-gu, 143-701, Seoul, South Korea aut NATIONALLICENCE 700 1- Ko Sung Department of Mechanical Design and Production Eng., Konkuk University, 120, Neungdong-ro, Gwangjin-gu, 143-701, Seoul, South Korea aut NATIONALLICENCE 773 0- International Journal of Precision Engineering and Manufacturing Korean Society for Precision Engineering 14/6(2013-06-01), 977-984 2234-7593 14:6<977 2013 14 12541 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer