Browsing by Author "Ben Saoud, Farij Abduljali"
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Item PREDICTION OF CREEP MODEL PARAMETERS OF A LOW MELTING POINT ALLOY BY USING HARDNESS TEST(2022-01-20) Ben Saoud, Farij Abduljali; Şengönül, Cemal Merih; Şimşir, CanerThe tensile test is a method frequently used to determine the mechanical properties of materials. However, this method needs bulky instruments, which can be costly to attain and maintain. Besides tedious sample preparation processes and sometimes complicated test protocols that necessitate trained personnel to run, which makes this type of test time and money consumed. Therefore, it is convenient to utilize more practical and simple instrumentation that can provide sought material properties with tolerable deviation compared to the tensile test. Such an approach will be well received, particularly by manufacturing facilities. Since there is a strong correlation between hardness and tensile strength of the material, researchers look for ways to substitute tensile test measurements by hardness for some groups of materials. In this study, we took a further step in this endeavor by developing a technique to predict the strength properties of a low melting point alloy Sn-Bi eutectic at elevated temperatures via hardness test. We established an analytical relationship that predicts creep exponent (n) and the strength coefficient (A) values, also the strain rate sensitivity index (m) and the constant (C) values of the eutectic Sn-Bi alloy. Creep parameters were determined in the tensile test by applying stresses of 10, 15, and 20 MPa, which iv are less than the yield strength of Sn-Bi eutectic alloy at temperatures 25, 45, and 65 °C respectively. Also, the strain rate sensitivity (SRS) tests were performed at similar temperatures by applying strain rates of 10−3 , 10−2 , and 10−1 s -1 to calculate the SRS parameters. Similarly, Vickers hardness measurements were performed under the same conditions. As a result, we determined a strong correlation between the uniaxial tensile mechanical properties and the hot hardness measurements of the Sn-Bi alloy, and the obtained numeric model predicted most of the mechanical properties with a high statistical significance.