Die Detector Comparison for Detection, Functionality, Principles, Installation & Abnormalities

WHY KUENLIN


	TRADITIONAL	KUENLIN
Inspect item	Thickness,Over,Foreign bodies	In-process check, Failure trend of the die
Establish standards	Manual observation / Rule of thumb	AI machine learning
Monitoring mode	Upper limit exceeded Users warned	Real-time monitoring
Prevention
Quality control
Digital management
RUL
	Traditional detection generates warnings only when the upper limit is exceeded, which leads to missed opportunities in optimal maintenance time.	When the similarity of the waveforms is abnormal, an alert will pop up (amplitude/waveform/phase).


	Slug Detector	Load Monitor	Error-carr ying Inspector	Pressing die status detection
Inspect item	Abnormal thickness Scraps, material Stacked.	Prevent overloading, die damage.	Extrusion/over feed /material lackage.	WIP Inspection / Catch Die failure Trend.
Function	Prevent the overlapping of materials, crumbs, abnormality in the die, etc., which will damage the die or the finished product.	Extend equipment life and adjust dies or sharpening with observations.	Avoid damage to the die.	WIP QC/ Avoid unscheduled downtime / Longer the die life / Digital management / Less effort for die repair.
Principles	Observing the variation range, monitor the max variation value.	Convert the pressure of the punch oil chamber into tons.	The board circuit closing when a misfeed occurs.	Machine learning to see whether the vibration parameters meet periodic actions requirements.
Installation	Need to adjust the die height to the upper and bottom end of stroke, set the variation value.	The upper and lower limits of the tonnage need to be set up.	Need to trial run for serval times to catch the averagevalue as standard.	1 Plug to install, Immediately into machine learning.
	Detectable Abnormal Can be achieved Not necessarily
Over
Blank Material
Foreign Bodies
Thickness
Tool Breakdown
Die Damage
Die Failure Trend
RUL (Remaining Useful Life)