Question: Part I: Start Dev-C++, open the framework.cpp file and save it as lab9.cpp (on the desktop) You are going to start by including function calcFrictionFactor

 Part I: Start Dev-C++, open the framework.cpp file and save itas lab9.cpp (on the desktop) You are going to start by includingfunction calcFrictionFactor that has been written for you. You can find thecode in calcFrictionFactor.txt in the lab9 folder. Put this function just abovethe main program (i.e. between the sqr function and the main function).Below is an explanation of how the friction factor is calculated bythis function. It is recommended that you read it. However, if you

do not completely understand the description, it will not prevent you from

Part I: Start Dev-C++, open the framework.cpp file and save it as lab9.cpp (on the desktop) You are going to start by including function calcFrictionFactor that has been written for you. You can find the code in calcFrictionFactor.txt in the lab9 folder. Put this function just above the main program (i.e. between the sqr function and the main function). Below is an explanation of how the friction factor is calculated by this function. It is recommended that you read it. However, if you do not completely understand the description, it will not prevent you from completing the rest of the lab. The friction factor for the flow through a pipe depends upon the Reynolds number for the flow, the diameter of the pipe, and the roughness of the inside of the pipe. An equation for the friction factor, f, is 2.51 f 2 log 3.7 Ryf where Ris the Reynolds number for the flow through the pipe (dimensionless), D is the diameter of the pipe (in metres), E is the roughness of the inside of the pipe (also in metres) Unfortunately, because f is on both the left and right hand side of the equation, the equation cannot be used directly to determine f. However, in this case, we can estimate f by employing a strategy of successive approximation. If we guess at the value off and plug this value into the right hand side of the equation, the result will be a better value for f. And, if we then plug this better value back

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