Split Hopkinson Pressure Bar Apparatus for Compression Testing: A Review

For a long time tests have been created to decide the quality of materials under static stacking conditions. Prior, material properties were measured utilizing water driven or screw sort testing machines that were just equipped for acquiring a greatest strain rate in the range of 0.1 every second. From there onwards other test installations have been created that can accomplish a strain of around 100 every second. The most well- known and generally utilized strategy to decide dynamic material properties is the Split Hopkinson Pressure bar (SPHB) device and strain rates are in the extent of 10(2) - 10(4) every second. Notwithstanding high strain rates, it has been utilized for testing materials with lower strain rates, for example, concrete. In some tests, it has been utilized to describe high temperature conduct. In the recent times, the SPHB mechanical assembly discovers its utilization in property assessment of composite materials. In the split Hopkinson bar test, a short barrel shaped specimen is sandwiched between two long bars. The bars are by and large made of gentle steel with distances across 20mm and a length 500mm. The finishes of the weight bars and specimen are machined level to implement recommended limit conditions. Huge headways executed from the ranges of testing strategies, numerical techniques, and sign preparing have enhanced the exactness and repeatability of high strain rate testing. A few elements impact the precision of the outcomes including longitudinal wave scattering, impedance befuddle of the bars with the specimen and transducer properties among others. Dispersive nature of the bars is to be known with a specific end goal to foresee the weight beats accurately. The paper gives an extensive survey of the SPHB systems used for material property assessment. (C) 2018 Elsevier Ltd. All rights reserved Selection and Peer-review under responsibility of International Conference on Advanced Materials and Applications (ICAMA2016).