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Inserts Driving Me Bonkers...A Better Way?

Thanks for reading.

I've been working on a project. It's actually starting to drive me a little crazy. We need to pass a Cpk on this thing before it hits production.

The main issue holding up everything is the reporting of the inserts. Rarely do they check good. Right now, I have one part out of 11 that is good across the board.

This is a molded composite part. With 10 inserts molded into it. The inserts are either hand loaded by an operator or an insert loader that was not made very well.

The flange with the inserts is facing YMINUS. All my Basic dims match up to print. The X values are sopt on for the most part. It's the Z values that are off anywhere from .005 to .030".

Again the inserts are manually loaded.


The also when hand loading have to tap inserts on extended pins.

I know it isnt the CMM. Management says its the CMM.

These inserts as well have mmc as do the datums. Any ideas on how I could maybe can measure these inserts better, if at all?

Sorry about the book and thanks for your time.
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  • Unless you're doing something silly, it's not the CMM. If you're working for a company that just wants you to fake the data, resign. The company will also use you as a scapegoat in the event the product injures people.

    As far as Cpk/PpK calculations go, true positions with MMC bonus would have to be calculated as a percentage-of-adjusted tolerance you're consuming (for each part),, and you would also have to assign a simulated negative-100% in some of your calculations. Even then, it's not going to be statistically valid.
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  • Unless you're doing something silly, it's not the CMM. If you're working for a company that just wants you to fake the data, resign. The company will also use you as a scapegoat in the event the product injures people.

    As far as Cpk/PpK calculations go, true positions with MMC bonus would have to be calculated as a percentage-of-adjusted tolerance you're consuming (for each part),, and you would also have to assign a simulated negative-100% in some of your calculations. Even then, it's not going to be statistically valid.
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