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Cite five factors that lead to scatter in measured material properties.

Short Answer

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Answer: The five factors that may contribute to scatter in measured material properties are material inhomogeneity, testing conditions, testing method, material anisotropy, and sample size and statistics.

Step by step solution

01

Factor 1: Material Inhomogeneity

Material inhomogeneity refers to the varying composition, structure, or physical properties of a material at different locations. This can be caused by the manufacturing process, defects, or impurities. Inhomogeneous materials can exhibit scatter in measured properties because the properties will vary depending on where the measurements are taken.
02

Factor 2: Testing Conditions

The conditions under which material properties are measured can also introduce scatter in the results. Factors such as temperature, humidity, and atmosphere can affect the material properties being measured. To minimize this type of scatter, testing should ideally be performed under standardized and controlled conditions.
03

Factor 3: Testing Method

The testing method itself may introduce scatter in measured properties due to the inherent limitations or variability of the method. This includes the sensitivity and accuracy of the testing equipment, human error, or differences in applied force, pressure, or strain. It is essential to understand the limitations of the testing methods and account for any potential sources of error.
04

Factor 4: Material Anisotropy

Anisotropic materials possess different properties when measured along different axes. For example, the mechanical strength of a composite material might be stronger along the direction of the fibers compared to perpendicular to them. When testing anisotropic materials, the measured properties may show scatter if the test samples have different orientations compared to one another.
05

Factor 5: Sample Size and Statistics

Finally, the sample size and statistical methods used in testing may also introduce scatter in measured properties. A larger sample size may provide more accurate data, while smaller sample sizes are more likely to be subjected to higher variability. Additionally, the choice of statistical methodology for analyzing the data can influence the amount of scatter observed. It is crucial to select appropriate sample sizes and statistical methods to minimize scatter in measured material properties.

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