Headquartered in Aurora, IL, Mitutoyo America Corporation is the world's largest provider of measurement and inspection solutions offering the most complete selection of machines, sensors, systems and services with a line encompassing CMM (coordinate measuring machines), vision, form and finish measuring machines, as well as precision tools and instruments, and metrology data management software. Mitutoyo's nationwide network of Metrology Centers and support operations provides application, calibration, service, repair and educational programs to ensure that our 8,500+ metrology products will deliver measurement solutions for our customers throughout their lifetime.
This technical bulletin addresses how measurement accuracy and uncertainty can be accounted for when making statements of conformity to specified requirements (In/Out tolerance or Pass/Fail decisions). In particular, this technical bulletin explores one specific rule, called the simple acceptance and rejection decision rule, which is the most commonly used decision rule in measurement practice. The technical basis for this document is the American national standard (ANSI standard) ASME B89.7.3.1-2001 Guidelines for Decision Rules, along with other historical documents.
Historical Practice
Without even knowing the formal rule, most people use the simple acceptance and rejection decision rule in almost all situations. The rule is as simple as its name – measured values inside the tolerance limits are considered acceptable (simple acceptance) and those outside the tolerance limits are considered unacceptable (simple rejection). This rule is so entrenched in practice that most people are confused to hear that other rules even exist (see ASME B89.7.3.1 for details on other rules). Measurement professionals are aware that there is always error in measurement, and the use of the simple acceptance and rejection decision rule has always been accompanied by some stipulation that the measurement quality is sufficiently good. To use this rule, it is therefore critical to define what sufficiently good measurement quality means.
In 1950 a U.S. Military Standard, MIL-STD-120 Gage Inspection, was released. This standard stated that when parts were being measured that the accuracy tolerances of the measuring equipment should not exceed 10% of the tolerances of the parts being checked. This rule is often called the 10:1 rule or the Gagemaker’s Rule. For calibration of measuring equipment, MIL-STD-120 stated that the accuracy of the measurement standards used for calibration should not exceed 20% of the tolerances of the measuring equipment being calibrated. Both of these rules have transformed over the years into what is often called the TAR, or test accuracy ratio, and the past requirements of 10:1 or 5:1 are now typically stated as a 4:1 requirement, or 25% of tolerance.
Decision rules, and any associated ratios like the TAR, are all related to risk in measurement systems. Organizations must determine what decision rule meets their unique needs and which ratios, if any, are considered acceptable. In some cases, the decision rules are defined by standards, specifications, or the customer. The purpose of this technical bulletin is to add some clarity to the simple acceptance and rejection decision rule regarding how to calculate the ratios that are often part of the decision rule. The best or most appropriate decision rule to use is not addressed in this document.
Test Accuracy Ratio, TAR
The TAR is usually expressed as a ratio (4:1), a percentage of tolerance (25%), or a single value (4). All three cases have the same outcome. Let us look at some cases where the TAR is calculated as a single value and is required to be equal to or greater than four. For the first example, a manufactured part is measured, and the measured feature is a 20 mm diameter shaft with a tolerance of ± 0.015 mm. The measuring instrument is a 0-25 mm outside micrometer with a specified accuracy tolerance of ± 0.001 mm. The TAR is calculated as:
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