Product Details

Diagnosing CNC milling machine monitoring system made by Japanese company

•Wear-detection by the power monitoring of the motor
•Setting of optimum cutting conditions
•Factor analysis by the monitoring of the cutting conditions

•This product, by monitoring the power of the motor of a machine tool (such as machining center and lathe etc.) diagnosis, discovered the wear and lack of cutlery, and notifies the time to replace it.

•In addition, by using the vibration sensor and the like, it can be used to determine the optimal processing conditions, such as feed and rotation speed.

•Other, monitor the status of various types of equipment by collecting the data of temperature, load, stress etc.

Purpose of use	Retionalization•efficiency
Visible of the wear of cutting tool	Enabled the exchange by life instead of periodic exchange, it reduces the wear of cutting-tool and its exchanging man-hour.
Chipping of tool is visible	Enable to prevent the outflow of defect, then reduced the defect rate and quality expense.
Visible of the optimum machining condition	By making possible to maximize the machining hour of tool, it reduces the consumption of cutting tool.
Visible of the trouble of equipment	Enable to prevent vital trouble and expand the life of equipment.

Use case 1

•Constantly monitors the cutting electric
power of the drill

•Drill of wear, breakage detection

•Abnormality detection, such as equipment and coolant etc.

Use case 2

•Fine breakage detection of drill
Detecting a twining of swarf by fine-chip

Use case 3

•Setting of optimum cutting conditions

Set the optimum cutting conditions to measure the feed, rotation speed, vibration, etc.

Use case 4

•Cause Analysis by history check
Checked the history at the time of failure occurrence, then it turned out the coolant concentration abnormality.

Use case 5

•Optimization of cutting edge shape Check the appropriate cutting edge shape and inform it to the manufacturer.

Use case 6

•State monitoring of the heat treatment furnace

•Avail for analysis of failure, recording temperature data of the heating, temperature rising and temperature data of the cooling booth.

•Corresponding to the data traceability

Equipment condition monitoring network

•Build a network of equipment condition monitoring
•Save the acquired data to the server
•The abnormality information transmitted to a mobile phone

2 types available for use