Abstract: An example wear detection system receives a plurality of images from a plurality of sensors associated with a work machine. Individual sensors of the plurality of sensors have respective fields-of-view different from other sensors of the plurality of sensors. The wear detection system identifies a first region of interest and second region of interest associated with the at least one GET. The wear detection system determines a first set of image points and a second set of images points for the at least one GET based on geometric parameters associated with the GET. The wear detection system determines a wear level or loss for the at least one GET based on the GET measurement.

Abstract: An example wear detection system receives first image data related to at least one ground engaging tool (GET) of a work machine from one or more sensors at a first time instance in a dig-dump cycle of the work machine. The wear detection system processes the first image data to determine a first wear measurement and first wear level for the at least one GET. The wear detection system determines whether the first wear level is indicative of a GET replacement condition. The wear detection system generates an alert when the first wear level is indicative of the GET replacement condition. The wear detection system receives second image data related to the at least one GET a second time instance different from the first time instance when the first wear level is not indicative of the GET replacement condition and determines a second wear measurement and second wear level for the at least one GET.

Abstract: An example wear detection system receives a plurality of images from a plurality of sensors associated with a work machine. Individual sensors of the plurality of sensors have respective fields-of-view different from other sensors of the plurality of sensors. The wear detection system identifies a first region of interest and second region of interest associated with the at least one GET. The wear detection system determines a first set of image points and a second set of images points for the at least one GET based on geometric parameters associated with the GET. The wear detection system determines a wear level or loss for the at least one GET based on the GET measurement.

Abstract: An example wear detection system receives first image data related to at least one ground engaging tool (GET) of a work machine from one or more sensors at a first time instance in a dig-dump cycle of the work machine. The wear detection system processes the first image data to determine a first wear measurement and first wear level for the at least one GET. The wear detection system determines whether the first wear level is indicative of a GET replacement condition. The wear detection system generates an alert when the first wear level is indicative of the GET replacement condition. The wear detection system receives second image data related to the at least one GET a second time instance different from the first time instance when the first wear level is not indicative of the GET replacement condition and determines a second wear measurement and second wear level for the at least one GET.

Abstract: A stent includes a wave form that includes a cable including a plurality of strands. The wave form has a plurality of struts and a plurality of crowns, with each crown connecting two adjacent struts. The wave form is wrapped around a longitudinal axis at a pitch to define a plurality of helical turns. The stent includes a filler located within the cable. The filler includes a therapeutic substance.

Abstract: A stent includes a wave form that includes a cable including a plurality of strands. The wave form has a plurality of struts and a plurality of crowns, with each crown connecting two adjacent struts. The wave form is wrapped around a longitudinal axis at a pitch to define a plurality of helical turns. The stent includes a filler located within the cable. The filler includes a therapeutic substance.

Abstract: The manufacture of seamless tubes in which the process includes providing an assembly having a metal tube blank, and an elongate metal core of shape memory effect material which is surrounded and contacted by the tube blank with a minimal gap. The assembly is elongated by mechanical working thereof at an elevated temperature until the tube blank has been converted into a tube of desired dimensions. After the elongation step, the core is subjected to a treatment which results in the core being in a stretched condition throughout its length, and does not substantially stretch the tube. The core is removed from the tube, and subsequently subjected to drawing passes over a nondeformable mandrel thereby refining the precision of diametric and wall dimensions with improved ID and OD surface quality. There is also decoring and reinserting to improve final dimensions which results in the ability to fabricate smaller, longer tubes.

Abstract: The manufacture of seamless tubes in which the process includes providing an assembly having a metal tube blank, and an elongate metal core of shape memory effect material which is surrounded and contacted by the tube blank with a minimal gap. The assembly is elongated by mechanical working thereof at an elevated temperature until the tube blank has been converted into a tube of desired dimensions. After the elongation step, the core is subjected to a treatment which results in the core being in a stretched condition throughout its length, and does not substantially stretch the tube. The core is removed from the tube, and subsequently subjected to drawing passes over a nondeformable mandrel thereby refining the precision of diametric and wall dimensions with improved ID and OD surface quality. There is also decoring and reinserting to improve final dimensions which results in the ability to fabricate smaller, longer tubes.