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Á¦°³Á¤ÀÏ 2021-12-08 ÃÑÆäÀÌÁö 16
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¿µ¹®Ç¥Áظí Method of Data Definition and Realtime Visualization for detecting Porosity Error in Metal Addictive Manufacturing
Çѱ۳»¿ë¿ä¾à ±Ý¼Ó ÀûÃþ °¡°ø Àåºñ¿¡¼­ÀÇ ±â°ø ¹ß»ý ¿À·ù ¹ß»ýÀº Á¦Ç°ÀÇ Ç°ÁúÀ» ¾ÇÈ­½ÃÅ°°í ½Ã°£°ú ºñ¿ëÀ» ³¶ºñÇÏ°Ô ÇÏ´Â ÁÖ¿ä ¹®Á¦À̸ç À̸¦ ½Ç½Ã°£À¸·Î ÃßÀûÇÏ°í °¡½ÃÈ­Çϱ⠹æ¹ý·Ð °³¹ßÀÌ ½Ã±ÞÇÑ ½ÇÁ¤ÀÌ´Ù. µû¶ó¼­ º» Ç¥ÁØ¿¡¼­´Â ±Ý¼Ó ÀûÃþ °¡°ø Àåºñ¿¡¼­ ¼öÁýµÇ´Â ºòµ¥ÀÌÅÍ Áß¿¡¼­ ±â°ø ¿À·ù¸¦ °ËÃâÇϱâ À§ÇÑ µ¥ÀÌÅÍ¿Í ½Ã°¢È­ ¹æ¹ýÀ» Á¤ÀÇÇÑ´Ù.
¿µ¹®³»¿ë¿ä¾à Occurred Porosity error in metal additive manufacturing equipment is a major problem that deteriorates product quality and wastes time and money and it is urgent to develop a methodology to track and visualize it in real time. Therefore this standard defines the data for detecting porosity errors among the big data collected from the metal additive manufacturing equipment and the display method
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