![]() We also provide a downloadable excel template. Calculator 2 Linear interpolation determines, from two points (x1,y1) and (x2,y2), what the value of y is at a different point x3. ![]() Here we discuss how to calculate the Interpolation Formula along with practical examples. Best of all, Thermodynamics interpolation calculator is free to use, so theres no reason not to give it a try Get Solution. This is a guide to Interpolation Formula. Best of all, Thermodynamics interpolation calculator is free to use, so theres no reason not to give it a try Get Solution. Please keep in mind that interpolation is a statistical and mathematical tool that is used to predict the intermediate values between two points. One of the basic variants of interpolation is the linear interpolation technique which is commonly used by analysts in the field of mathematics, finance and computer programming. The importance of the interpolation technique can be gauzed from the fact that linear interpolation is believed to be used by Babylonian mathematicians and astronomers in the last three centuries BC, while the Greeks and Hipparchus used it in the 2nd century BC. Y = (y 2 – y 1) / (x 2 – x 1) * (x – x 1) + y 1 Relevance and Use of Interpolation Formula For superheated refrigerant at 1.4 MPa and T 72 P oC, the enthalpy can be estimated by interpolation using the rows from Table A. Tired of manually interpolating Use our Free, quick, and easy linear interpolation calculator. T 259.9 C 263.99 250.40 T 250.40 5 4 4.7 4 o Linear interpolation works for estimating any thermodynamic intensive property in any phase for tabulated materials. Step 4: Finally, the function for interpolation can be derived by multiplying the slope (step 3) with the difference between the independent variable and the abscissa of any one data point and then adding the corresponding ordinate to the result as shown below. Linear interpolation thermodynamics calculator is a mathematical tool that helps to solve math equations. Step 3: Next, calculate the slope of the available data points by dividing the difference between the ordinates by that of the abscissas of the available data points. Make sure that there are at least two data points as it is the minimum data points required. ![]() ![]() Step 2: Next, gather as many as possible historical and current data points in order to build a function. Step 1: Firstly, identify the independent and dependent variables for the function. ![]()
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