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VEQTER’s expertise in residual stresses extends beyond measurement into understanding their impact on
the performance and structural integrity of engineering components. Using our advanced analysis tools,
we provide added insight into the residual stresses measured and their interpretation. Furthermore,
we provide advice on the management and mitigation of residual stresses in circumstances where they
are expected to be detrimental to performance.
Our continued strong link with the University of Bristol ensures that we continue to employ the most up-to-date
and validated modelling methodologies. Specific areas where our unique knowledge of residual stress measurement
techniques and predictive methodologies combine to provide unparalleled expertise are:
Providing customers with an informed choice as to the most appropriate residual stress measurement locations for
their specific component, the optimal number of measurements to undertake, and the most suitable combination of
measurement techniques to employ.
The provision of numerical measurement simulations allows customers to intelligently interpret both measurements
and finite element predictions. We are finding that this is one of the best routes for customers to fully understand
the implications of, for example, the material hardening model used in their analyses.
Providing customers with a full three-dimensional residual stress tensor at all points in a component from a limited
set of measurement results. Our mapping algorithms permit an initial residual stress state in a component to be
inferred without the need for a full and prolonged numerical model. This initial residual stress state may then
be used for further calculations.
We design and perform benchmark tests for clients seeking to determine the necessary parameters required in their
study. We then report back the results of the characterisation and validation experiments.
We provide an independent scrutiny of both numerical and experimental
reports concerning residual stresses and
fracture.
We can create and manage (statistically) a
database of residual stress measurement results and numerical
predictions, using data accrued from current and historical research projects.
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