The heart of FFTT

Fast Fatigue
TESTING TECHNOLOGY

FFTT is built on the Risitano Thermographic Method and the Static Thermographic Method, and it is equipped with thermographic (IR) sensors and digital image correlation (DIC). It delivers the Wöhler curve and the fatigue limit in under 48 hours.

FFTT combines thermographic (IR) sensors, Digital Image Correlation (DIC), thermographic methods and proprietary algorithms for data analysis in a single process.

An integrated technology

Equipment

IR Camera

Infrared Thermal Imaging

Tracks the evolution of the specimen surface temperature during the fatigue test.

y [mm]
2001751501251007550250
N = 0
170180190200210220
x [mm]
°C
33.75533.44933.14332.83732.53132.22431.91831.61231.30631.000
Notched specimen — fatigue loading simulation
Equipment

Digital Image Correlation

Strain field

Measures specimen deformation during mechanical tests.

DIC
Method / STM

Static Thermographic Method

First-damage limit

Estimation of the limit stress that triggers the first microplasticization of the material.

Method / RTM

Risitano Thermographic Method

Wöhler curve and fatigue limit

Derivation of the Wöhler curve and the fatigue limit by analyzing the stabilization-temperature trend as a function of the applied stress level.

case study 1

FEW DATA POINTS GIVE AN ILLUSION OF PRECISION.
MORE DATA GUARANTEES TRUE RELIABILITY.

Series 1 has the best R² — and it is the least reliable.

ASTM E739

The ASTM E739 standard recommends a minimum of 12–24 specimens for statistically meaningful campaigns. Below that threshold the result can only be regarded as indicative characterization, not design-grade reliability. The ASTM E 739 range is purposely wide to reflect a low-high reliability band. Scientific literature on fatigue characterization, together with several decades of industrial application, points to 20 specimens as the practical threshold below which survival-curve estimates become too uncertain to support reliable design decisions. It is not a regulatory rule, but a well-grounded engineering threshold.

SeriesSpecimensDays
1High R² better
591.19%11
2
1081.48%23
3
1479.79%29
4
1881.63%37
5
2279.92%45
WHY A WELL-DESIGNED CAMPAIGN MATTERS

Materials fatigue:
a deep, little-known field.

The most common mistake: 5 specimens are not enough

One of the most widespread mistakes is working with Wöhler curves derived from just 5 specimens. The difference compared to 20+ specimens is not quantitative — it is qualitative. 5 specimens are insufficient to estimate a distribution, they only allow curve fitting on a sample that is just too small: it is comparable to estimating a city’s annual rainfall by measuring only 5 summer days.

Traditional methodWöhler curve construction — statistical standard
INDUSTRIAL PRACTICE⚠ Insufficient
5specimens
~11 days of machine time
R² that looks great
Distribution cannot be estimated
Unreliable S-N curve
Statistical standard✓ Reliable
20+specimens
~45 days of machine time
Complete P-S-N curve
Survival bands at 5/50/95%
A foundation for design decisions

With traditional methods, 20+ specimens make it possible to build a P-S-N curve (Probability-Stress-Number of Cycles): the family of iso-reliability curves at 5%, 50%, 95% on which robust design decisions are built. FFTT enables to reach the same result with a handful of specimens, in under 48 hours.

case study 2

Fatigue evaluation of a
naval structural steel.

A comparison between the traditional method and our solution.

Knowow