Mark Davies
My name is Mark Davies, and I specialize in precision accuracy testing for machine tools. With a background in mechanical engineering and a strong focus on high-precision manufacturing, I have built my career around the evaluation and improvement of machine tool performance to ensure optimal accuracy and repeatability.
I have extensive experience in using laser interferometry, ballbar testing, and geometric error analysis to assess and calibrate CNC machines and conventional tools. My work helps manufacturers maintain tight tolerances, reduce machining errors, and achieve consistent product quality across production lines.
I am passionate about the role of precision measurement in modern manufacturing and committed to integrating advanced diagnostic tools and data analytics into machine tool verification processes. By doing so, I aim to support continuous improvement, process optimization, and higher standards in manufacturing excellence.
generate_commanded_position function: This function generates a random commanded position within the range of 0 to 100. In a real - world scenario, the commanded position would be set by the control system of the machine tool.
generate_actual_position function: This function adds a random error to the commanded position to simulate the actual position of the machine tool. The error is within the range of - 2 to 2.
detect_accuracy function: This function calculates the position error between the commanded position and the actual position. Then it compares the error with a predefined tolerance value (in this case, 1 unit). If the error is within the tolerance, it indicates that the machine - tool accuracy is acceptable; otherwise, it is not.
Main loop: The code runs the accuracy detection 5 times and prints the results for each test.