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Traditionally, manufacturers have relied on the physical attributes of gages and coordinate measuring machines (���������ϲ�s) to maintain acceptable levels of quality. For ���������ϲ�s, the criteria considered most important for accuracy are the stiffness and stability of component materials and structures. More recently, however, with widespread use of error mapping to compensate for mechanical variations, the focus has shifted away from these physical parameters.

Since the early 1980s, the development of ���������ϲ�s that incorporate “virtual accuracy” has had some significant ramifications for users. Originally, error mapping involved software used to aid linear accuracy calibration of machine axes. Using this method, a ���������ϲ�’s software scales are adjusted by using scale tensioners. Because this allows scale accuracy to be equated with a laser interferometer readout, it improves the ���������ϲ�’s accuracy without compromising its mechanical qualities.

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Soon after it was introduced, however, ���������ϲ� manufacturers began using error mapping to compensate for more extensive mechanical inaccuracies. This allows builders to reduce costs by designing machines with considerably less precision than mechanically accurate machines. Error mapping also requires more frequent intervention by the OEM to maintain the accuracy of “locked” ���������ϲ� maps that are inaccessible to third parties. This can create higher levels of uncertainty and inconvenience for users.

“Updating map parameters requires more time for the calibration process because it frequently requires verification of other related parameters,” says Otto Geiseman, president of Wenzel America, Ltd. (Wixom, Michigan). Additionally, previous calibrations of a mapped ���������ϲ� may not be as complete as the user assumes. “Since the mapping process is so laborious, it’s not uncommon to find residual map files that don’t correlate with the calibration date,” says Mr. Geiseman. In certain cases, therefore, updating a mapped ���������ϲ� can consume as much as twice the amount of time necessary to calibrate a mechanically accurate ���������ϲ�.

Wenzel applies a contemporary approach to the traditional quality paradigm. The company has introduced a line of ���������ϲ�s that emphasizes high-precision mechanical components as an alternative to error mapping systems. In place of computer algorithms, these ���������ϲ�s incorporate structures composed of stable materials that are well suited for metrological applications. To achieve high accuracy, for example, the ���������ϲ� guideways are precision ground and hand-lapped by technicians using autocollimators to monitor their work. Combined with high-precision bearings, this technique produces an extremely accurate machine.

According to Mr. Geiseman, materials commonly used in the manufacture of components for mapped ���������ϲ�s may be less than ideal. “Today, most ���������ϲ� guideways comprise a combination of materials, with aluminum being the most prevalent,” he says. “While aluminum does provide some advantages in the manufacturing process, it’s a soft material that creeps and deforms easily. It’s probably not sufficiently stable for metrology purposes.” Besides being a less stable material in terms of weight, aluminum has a coefficient of expansion almost 4 times greater than granite.

Another important factor is that ���������ϲ� mapping obscures the mechanical parameters of a particular measuring machine. “During mapping, the raw inaccuracy is measured but never revealed to the user,” says Mr. Geiseman. Because no governing body exists to sanction metrology standards for the design and accuracy of error maps, users face considerable uncertainty when maps are replaced.

These factors increase the appeal of a more conventional approach to measurement that is based on meticulous hardware design instead of software. Wenzel subscribes to the belief that a highly accurate machine is still the best means to ensure measurement quality. “Unlike mapped ���������ϲ�s, mechanically accurate ���������ϲ�s have nothing to hide,” says Mr. Geiseman. “Users have an intrinsic right to know if a ���������ϲ� has zero compensation or 10, 20, 30 times more inaccuracy than the OEM’s stated values.”