This is the sixth in a series of articles about MSA. The focus of this article will be on measurement repeatability and reproducibility for non-replicable measurement systems, commonly called a destructive test.
Okay, what exactly is a non-replicable measurement system and why is it not just called a destructive measurement system? Let’s start with the definition of replicate.
In statistics, a replicable measurement system is one where any given part may be measured multiple times by the same or different operators, and where the result obtained will fall within a predictable range of values.
By this definition, a destructive measurement system is definitely non-replicable. However, there are other situations that are non-replicable that do not result in the destruction of the part.
The following are examples of non-replicable measurement systems:
So, now you know you have a non-replicable test. What do you do? The following are several approaches that may work:
The next article will be:
Intro to MSA of Continuous Data – Part 7: R&R using Wheeler’s Honest Gage Study
Okay, what exactly is a non-replicable measurement system and why is it not just called a destructive measurement system? Let’s start with the definition of replicate.
In statistics, a replicable measurement system is one where any given part may be measured multiple times by the same or different operators, and where the result obtained will fall within a predictable range of values.
By this definition, a destructive measurement system is definitely non-replicable. However, there are other situations that are non-replicable that do not result in the destruction of the part.
The following are examples of non-replicable measurement systems:
- The part changes on use or test (e.g., rubber parts will soften when flexed, harden when left alone and take a set when compressed; uncured rubber will cure when tested in a rheometer)
- The characteristic is dynamic and is sensitive to multiple test conditions that cannot be exactly reproduced (e.g., tests of complex systems such as an automobile)
- The characteristic or property measured changes over time (e.g., dimensions of freshly molded plastic parts, viscosity of materials with shelf lives)
- The part physically cannot be reintroduced to the test (e.g., in-line measurement devices)
- The part is either physically destroyed (e.g., tensile test) or the part cannot be re-measured in the same location (e.g., hardness test)
So, now you know you have a non-replicable test. What do you do? The following are several approaches that may work:
- Split specimens: The parts or material collected to represent one part are split or sub-divided into smaller units. The smaller units are used for the repeat trials and between operator trials.
- Consecutive specimens: Consecutive parts are used to represent one part for the repeat trials and between operator trials. Used when the parts cannot be sub-divided and consecutive parts can reasonable be expected to be homogeneous, such as would occur in an auto-correlated process.
- Regression approach: The change in the characteristic over time or activity is known and has a defined relationship [Y=f(x)] (e.g., shrinkage of plastic parts). The subsequent measurements are adjusted using this relationship then analyzed.
- Stabilized parts: Parts or systems are stabilized before testing. This stabilization will depend on the product and characteristic. Some systems may be broken-in versus tested new. Some characteristics may stabilize when pre-tested a number of times.
The next article will be:
Intro to MSA of Continuous Data – Part 7: R&R using Wheeler’s Honest Gage Study
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