Mobile App Helps Users Identify, Correct for Tool Wear
Walter USA’s wear optimization app, which works on all current mobile devices and operating systems, enables users to identify specific forms of wear on indexable-insert and round-tool solid carbide applications, from milling, drilling and threading to turning, grooving and parting.
Share
Walter USA’s wear optimization app, which works on all current mobile devices and operating systems, enables users to identify specific forms of wear on indexable-insert and round-tool solid carbide applications, from milling, drilling and threading to turning, grooving and parting. Each form of wear is shown with a zoom function, both graphically and with high-quality photos.
For each wear template, the user is provided with a description of the conditions under which the relevant wear type occurs and how it can be prevented or reduced. The app provides practical recommendations such as “Use a more wear-resistant cutting tool material,” “Reduce the feed,” “Reduce the cutting speed,” “Increase the coolant pressure,” or “Check the orientation,” and so on. These recommendations are intended to help operators increase the service life of their tools and reduce costs associated with tool wear.
The app works on all current mobile devices, such as smartphones, notebooks and tablets, with iOS or the Android operating system, as well as on Windows PCs operating Windows 7 or newer. The app is also available for use in a Web browser on the company’s website.
Related Content
-
How to Troubleshoot Issues With Tool Life
Diagnosing when a tool is failing is important because it sets an expectation and a benchmark for improvements. Finding out why gives us a clue for how to fix it.
-
Measuring Torque, Thrust Force for Smart Drilling Operations
To monitor drilling operations for smart manufacturing solutions, torque and thrust force can be measured.
-
How to Mitigate Chatter to Boost Machining Rates
There are usually better solutions to chatter than just reducing the feed rate. Through vibration analysis, the chatter problem can be solved, enabling much higher metal removal rates, better quality and longer tool life.