This paper describes the concept and implementation of a model based data analysis of primary shock calibration. The concept follows to a large extent the scheme of ISO 16063-43. In addition, it uses classical statistics to combine a number of measurements. The implementation is programmed in Python, i.e. using open source software, in particular a new tool box for the analysis of dynamic measurements, PyDynamic, which features the integrated handling of uncertainties in terms of covariances.

This paper introduces the use of a homodyne differential plane mirror interferometer (HDPMI) for development of the primary vibration calibration system. The zero-drift test results showed that it enables displacement measurement in a scale of 10 pico-meters could be feasible. The HDPMI model was shown to be quite successful for the primary vibration calibration even in the frequency range of 5 kHz to 20 kHz. The standard uncertainty of the complex sensitivities from 5 kHz to 20 kHz was to be less than 0.46 % for their moduli and 0.57° for the phase shifts.

A three-component primary vibration calibration system had been set up in National Institute of Metrology, which consists of an air bearing three- component shaker, a sinusoidal three-component control system and a primary three-component vibration measuring system. A motion coupling device based on air bearing force transferring and motion guiding has been developed to simultaneously generate three-component vibration in the three orthogonal coordinates. The rectilinear, circular, and elliptical space motions have been realized by the sinusoidal three-component control algorithm. The three-component measuring system can simultaneously measure the three orthogonal motion quantities based on sine-approximation method.

This manuscript describes a novel concept of triaxial shock measurement system with three combined laser Doppler vibrometers and Hopkinson bar. This system measures three-dimensional acceleration at one point for evaluating frequency response (sensitivity and phase shift) of triaxial accelerometers. At the conference, the experimental results will be presented.

Rebound hardness is a popular onsite testing method to evaluate the hardness of heavy and massive metal parts and products. It is usually economical to do Leeb rebound testing where only one or very few items are to be produced because it is a non-destructive test. It is not economical to do destructive test such as tensile strength in this case. The aim of this study is to find the relation between leeb rebound hardness and tensile strength of the austenitic ductile cast iron, to rely on the leeb rebound test for measuring tensile strength to avoid the waste of material, and time in destructive tensile test. The tests were performed on a production of three groups of austenitic ductile cast iron covering a wide range of carbon equivalent (3.51 to 5.04%) using; carbon, silicon or nickel as alloying elements. The first group (A) having %CE ranging from 3.51 to 5.04 and the variable element was carbon. The second group (B) having %CE ranging from 3.86 to 4.64 and the variable element was silicon content, and the third group (C) having %CE ranging from 3.90 to 4.8 and the variable element was nickel. A mathematical relation was deduced to relate the tensile strength and Leeb Rebound hardness of austenitic ductile cast iron with regression coefficient R = 0.88.