The new approach to quality assurance in manufacturing!!

In contrast to conventional practice, which sees manufacturers measure and test the parts for quality verification, this pro-active warning system measures the process variance on a machine during production, thus detecting problems at the source before they become quality issues.

Monitoring the process for deviation rather than checking the parts for flaws, is an entirely new way of looking at quality assurance. The fundamental theory behind PVM is simple: if a process (including inputs, force, and tooling) is known to be capable of producing only good parts, and the process is consistent and repeatable, then the output of good parts should be consistent also.

So how do you determine the stability of your process?

Demonstration Video     Sensitivity Proof Video

Process signal conditioners – monitor force feedback

• Real-time process monitoring through analog and peak hold outputs
• Synchronization with process cycles through auto-zero and remote reset 

Process variation monitors – monitor full production run

• Monitors 100% of the production run without adding time or processing steps
• Early detection of a defective part prevents further processing, saving production time and reducing scrap costs
• Maintenance stays on target with the needs of the machine and not according to a worst-case schedule
• Tooling is replaced when necessary, not too early when it still has life left or too late after the quality and efficiency has been affected
• Decreased expenses and increased customer satisfaction

With no additional time or steps required, ForceWorx monitoring systems can be programmed to a definitive set of tolerances with an option to stop production when it exceeds the predetermined variance.

Any variation that occurs in an input – i.e. force, pressure, displacement, load, strain, etc. will result in a difference in the strain or load on the manufacturing equipment itself, indicating that the resulting part has not been produced according to the previously “learned” good part. By continuously monitoring production input experienced by the manufacturing equipment it is possible to detect variance that can mean the process is no longer quality capable.

Catching defects at the source gives manufacturers the confidence that only good parts are shipped to their customers.