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Why Repeatability Matters More Than Accuracy in Material Testing

Why Repeatability Matters More Than Accuracy in Material Testing

Why Repeatability Matters More Than Accuracy in Material Testing

Consistency is the foundation of meaningful test data.

In every material testing laboratory, one question ultimately determines the value of the data collected:

Can the test be repeated and produce the same results?

While equipment accuracy is certainly important, the ability of a testing system to produce repeatable, consistent results is often far more valuable than achieving the highest possible absolute accuracy. Whether evaluating automotive textiles, plastics, foams, composites, adhesives, or finished assemblies, repeatability provides the confidence engineers need to compare materials, qualify suppliers, validate production, and maintain quality over time.

At Schap Specialty Machine, our testing systems are designed with one primary goal: producing reliable, repeatable results that laboratories can trust.


Understanding Accuracy vs. Repeatability

Although these terms are often used interchangeably, they describe two very different characteristics of a testing system.

Accuracy

Accuracy measures how close a test result is to the true or accepted value.

For example, if a certified reference specimen should measure 100.0 N of force, a machine reporting 99.9 N is highly accurate.

Accuracy is important when measurements are traceable to national or international standards such as those maintained by organizations like:

  • NIST (National Institute of Standards and Technology)
  • PTB (Germany)
  • NPL (United Kingdom)

Proper calibration ensures that instruments remain accurate within specified tolerances.


Repeatability

Repeatability measures whether identical tests performed under identical conditions produce essentially the same result every time.

For example:

Five identical specimens are tested on Monday.

The same five specimens are tested on Friday.

Another laboratory repeats the testing next month.

If all results closely agree, the system demonstrates excellent repeatability.

Repeatability answers the question:

Can I trust this machine to tell me whether the material changed?

That is often the question engineers actually need answered.


Why Repeatability Often Matters More

Most standardized material tests are comparative tests, not absolute measurements.

Examples include:

  • Colorfastness testing
  • Abrasion resistance
  • Fogging characteristics
  • Fatigue testing
  • Seat durability
  • Textile wear
  • Peel strength
  • Adhesion testing
  • Compression testing

In nearly every case, engineers are comparing:

  • Material A versus Material B
  • Supplier A versus Supplier B
  • Today’s production versus last month’s production
  • Prototype versus production

The objective is not necessarily determining the “perfect” value.

The objective is determining whether a material performs better, worse, or the same under controlled conditions.

That requires repeatability.


A Highly Accurate Machine That Isn’t Repeatable Has Limited Value

Imagine a tensile tester calibrated perfectly to national standards.

Now suppose repeated tests on identical samples produce:

  • 425 N
  • 452 N
  • 437 N
  • 446 N
  • 431 N

The machine may still meet calibration requirements.

But the variation makes it difficult to determine whether changes in material performance are real or simply test noise.

The laboratory cannot confidently distinguish:

  • Manufacturing variation
  • Material improvements
  • Supplier changes
  • Process drift

In other words, accuracy alone does not create confidence.

Consistency does.


Repeatability Enables Better Engineering Decisions

Manufacturers make critical decisions based on trends.

Examples include:

  • Has the fabric supplier changed?
  • Is a new adhesive better?
  • Has UV exposure degraded the material?
  • Did a process improvement actually work?
  • Is the new foam formulation acceptable?

These questions depend on detecting relatively small performance differences.

Poor repeatability can easily mask genuine improvements—or create false ones.

Repeatable equipment reduces uncertainty.


Industry Standards Recognize the Importance of Repeatability

International standards organizations devote significant attention to repeatability and reproducibility.

Many ASTM and ISO standards include statistical measures such as:

  • Repeatability limits (r)
  • Reproducibility limits (R)
  • Precision statements
  • Interlaboratory studies
  • Round-robin testing

These sections acknowledge that every test contains some level of variation.

The goal is minimizing that variation through:

  • Proper machine design
  • Controlled test methods
  • Operator training
  • Calibration
  • Environmental control

The most valuable testing equipment minimizes variability between tests.


Sources of Poor Repeatability

Many factors contribute to inconsistent results.

Equipment Design

Machines with excessive backlash, vibration, inconsistent loading rates, or poor fixture alignment introduce unnecessary variability.


Fixture Design

Improper grips or fixtures can change stress distribution from one specimen to another.

Schap designs fixtures specifically to minimize operator-dependent variation.


Operator Influence

Simple differences in:

  • Specimen placement
  • Clamping force
  • Timing
  • Alignment

can significantly affect results.

Well-designed automated equipment minimizes operator influence.


Environmental Conditions

Temperature and humidity influence many materials, especially:

  • Textiles
  • Plastics
  • Elastomers
  • Adhesives

Testing under controlled environmental conditions improves repeatability.


Calibration

Calibration remains essential.

An instrument cannot be repeatable if it drifts excessively over time.

Routine calibration ensures the machine remains within its specified operating range.


Repeatability Supports Better Quality Control

Production quality control depends on detecting changes before customers do.

If testing variation is greater than manufacturing variation, quality problems remain hidden.

Repeatable equipment allows manufacturers to detect:

  • Tool wear
  • Material changes
  • Supplier variation
  • Process instability
  • Product degradation

earlier, reducing scrap and warranty costs.


Designing Equipment for Repeatability

At Schap Specialty Machine, repeatability begins with engineering.

Key design principles include:

  • Rigid mechanical construction
  • Precision fixtures
  • Controlled loading mechanisms
  • Stable motion systems
  • High-quality sensors
  • Consistent specimen positioning
  • Durable components designed for long service life

The objective is not merely producing one accurate test.

The objective is producing thousands of consistent tests over many years.

That consistency provides laboratories with dependable long-term data.


Accuracy and Repeatability Work Together

This discussion should not suggest that accuracy is unimportant.

An ideal testing system provides both:

  • Accurate measurements through proper calibration
  • Excellent repeatability through superior mechanical and control system design

However, if forced to choose between a machine that is perfectly accurate but inconsistent, and one that is highly repeatable with a small, known measurement bias, most engineers would select the repeatable machine. A consistent bias can be identified through calibration and accounted for, while random variation is much harder to correct and can obscure real differences between materials.

The best laboratories understand that confidence comes from combining traceable calibration with equipment that delivers consistent performance day after day.


The Schap Specialty Machine Difference

For more than 50 years, Schap Specialty Machine has designed testing equipment that laboratories rely on for consistent, dependable performance. Whether performing colorfastness evaluations, fogging tests, abrasion testing, seat durability testing, or custom material evaluations, Schap systems are engineered to minimize variability and maximize confidence in every result.

Because when product development, supplier qualification, and quality assurance depend on test data, repeatability isn’t just a desirable feature—it is the cornerstone of meaningful material testing.


References

  1. ASTM E691Standard Practice for Conducting an Interlaboratory Study to Determine the Precision of a Test Method.
  2. ASTM E177Standard Practice for Use of the Terms Precision and Bias in ASTM Test Methods.
  3. ISO 5725 (Parts 1–6)Accuracy (Trueness and Precision) of Measurement Methods and Results.
  4. ISO/IEC 17025:2017General Requirements for the Competence of Testing and Calibration Laboratories.
  5. JCGM 100:2008 (Guide to the Expression of Uncertainty in Measurement, GUM) – International guidance on measurement uncertainty and its relationship to repeatability, reproducibility, and calibration.

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