@kjd27 wrote:
Dear Sir/Madam,
This is regarding 'Process Monitoirng in Milling machine'. I have attached the algorithm which i have done.
The sensor will detect the breakage and it will be pass the signal to Mask and Limit testing. I have set up an amplitude as a limit,
so whenever it crosses the limit, it triggers the alarm from the digital signal of other DAQ Assistant.
But i have one doubt now,
1) I have given a fixed value as a limit, so whenever it crosses the amplitude it tirggers the alarm. My doubt, when we do deep cut or cutting of hardmaterial
in the Milling machine also the frequency will cross the limit but the tool won't be worn out. And in some other cases also, there is a chance of increase in frequency but the tool is not worn out.
So, what will be best common method or algorithm for all types of cutting parameters in Lab View.
Hope you understand the question.
Thanks
KJD
This question is not related to LabView. This is a question about the specific problem related to how you define "the tool worn out" and how you detect it. You need to figure out a kind of "intelligent" algorithm which decides if the tool should be considered as "worn out" or not. When you have the algorithm and the flow chart, you can start to implement it in LabView.
Such projects were done by multiple companies in the last years, I think you can find many info related to your problem if you google and dig into the literature.
And I doubt someone can give you an universal answer here to your questions, since this topic is something where companies usually invests millions of dollars and engineering hours to develop detection systems.
EDIT: "So, what will be best common method or algorithm for all types of cutting parameters in Lab View."
Actually depending about the "level of complexity", you may try to make your detection system more flexible, so what I wrote above is just a kind of note about this kind of engineering problem can lead very very far...
I think here you could try to make a kind of map of parameters. So you can try to figure out how your measured signal is changing regarding to the work type (soft/hard material, skin/deep cutting, etc...). And you make a list of limit values, so when the worker cuts hard material, he needs to change the warning limit in the software. A big problem could be here is that, if your measured signal is not enough to detect problems when you are dealing with the above extreme cases (hard material, deep cut). I mean, you do not get a significant change in your measured parameters even if the tool is worn out. What you could do, is a combination of detection/sensor methods maybe? Is there an option to do optical monitoring of the tool? Is it visible optically if the tool worn out? I know there are systems from companies using Machine Vision for milling systems...
