¡@

¡@

109¦~
©m¦W ¸­¤Rºö Bu-Ci Yeh
ÃD¥Ø

¥Ñ¤Á«d¤O²£¥Í¤§Ås¯x²z½×¼Ò«¬¤ÀªR»Ñ«d¥[¤u¤§¤M¨ã°¾Â\¤Î¿i¯Ó

Analysis of tool runout and wear based on bending moment model induced by cutting force in end milling

¤jºõ

ºK­n

    ¸g¥Ñ´¼¼z¤M§â (wireless sensory tool holder) ¶q´ú¨ìªºÅs¯x°T¸¹¥H·¥®y¼Ð§e²{¬°¤âùؼC (shuriken)  ¹Ï§Î¡AµM¦Ó¹L¥h¤åÄm¨S¦³±´°Q¤Á«d¥[¤u¤¤ªºÅs¯x°T¸¹¡B·¥®y¼Ð¹Ï§Î§e²{¦¹§Îª¬¤§­ì¦]¥H¤Î¦b¤M¨ã°¾Â\©M¿i¯Ó¤U¤§¹Ï§ÎÅܤơF¬G¥»¬ã¨s¥Øªº¬°±´°Q¤Á«d¥[¤u¤¤Ås¯x°T¸¹©MÅs¯x·¥®y¼Ð¹Ï§Î¡A¨Ã«Ø¥ß¹Ï§Î»P¤M¨ã°¾Â\©M¿i¯Ó¤§ÃöÁp©Ê¡C¥»¬ã¨s¤èªk¬°°ò©ó»Ñ«d¤§¤Á«d¤O¼Ò«¬¡A«Ø¥ß¤Á«dÅs¯x¼Ò«¬¡A¨Ã¶i¤@¨B±N¤M¨ã°¾Â\©M¿i¯Ó¤§¼vÅT¥[¤J¼Ò«¬¤¤¡A¦A¥H¤£¦Pª½®|¤§¤M¨ã¡B¤u¥ó§÷®Æ¡B¤Á«d°Ñ¼Æ¤Î¶¶°f»Ñ¹êÅçÅçÃÒ¼Ò«¬¤§¥¿½T©Ê¡C¦¹¥~¡A¥»¬ã¨s´£¥X¥HÅs¯x·¥®y¼Ð¤§¹Ï§ÎÅܤƯS¼x§@¬°ºÊ±±¤M¨ã°¾Â\©M¿i¯Ó¤§«ü¼Ð¡A¨ä§PÂ_«ü¼Ð¤§¯S¼x¤À§O¬°¹Ï§Î¤§¤£¹ïºÙ©Ê¤Î±ÛÂਤ«×¡A¬Û¸û©ó¥Ø«e±`¨£ªº©T©w»Ö­È (constant threshold)  µ¦²¤¡A¹Ï§Î¿ëÃÑ (pattern recognition)¨ã¦³¤£¨ü¥[¤u°Ñ¼Æ¼vÅT¤§Àu¶Õ¡A¯à°÷§ó¦³®Ä²v¶q¤Æ¤M¨ã°¾Â\©M¿i¯Óµ{«×¡C

ÃöÁä¦r¡G¤Á«dÅs¯x¡B¤M¨ã°¾Â\¡B¤M¨ã¿i¯Ó¡B¥[¤uºÊ±±¡BºÝ»Ñ¤M

Abstract

    The aim of this study is to investigate the bending moment in milling and the changing process of the shape, moreover, to consider the interconnection between the shape and the level of tool runout and wear. This study proposes a bending moment model of a wireless sensory holder on the basis of cutting force and examine the connection between tool runout and wear. The bending moment model signal presented as a polar plot (shuriken-like shape) is verified through experiments under various cutting conditions, so as to extend the practicality of this model. In addition, a monitoring method of tool runout and wear state through the polar plot of the bending moment is presented in this study, based on the interaction between polar plot, tool runout and wear. As the research results show that significant features are reveal in the asymmetry level and the rotation angle of the polar plot due to tool runout and wear respectively. Compared with the current threshold method, the pattern recognition method proposed in the study can effectively indicate the tool runout and wear level, without being affected by the magnitude of the process signal value.

Keywords: Cutting bending moment; Tool runout; Tool wear; Tool monitoring; End- milling

   
¡@