ANALYSIS OF MEASUREMENT ERRORS OF PRECISION PARTS USING A MEASURING ARM

Abstract

The article presents a detailed analysis of various types of errors that occur when measuring precision parts using a measuring arm. Measuring arms are high-tech instruments widely used in mechanical engineering, aviation industry, automotive manufacturing, and other fields where high accuracy and measurement repeatability are crucial. The design features of such devices allow for quick and accurate measurements of parts with various shapes, particularly those with complex geometry. However, the accuracy of measuring arms significantly depends on several factors, including operating conditions, temperature changes, design characteristics of the instrument, operator qualification, and other external factors. In particular, the influence of thermal fluctuations, which can lead to distortions in the measuring arm structure and affect the accuracy of the obtained results, is considered. The Monte Carlo method was used to analyze measurement accuracy, which allowed obtaining probabilistic characteristics of errors and determining the most influential factors causing measurement accuracy deterioration. The article proposes an automatic correction algorithm that compensates for systematic errors and reduces the influence of external conditions on measurement results. Experimental studies conducted in production conditions confirmed the effectiveness of the proposed approaches, demonstrating a significant increase in measurement reliability and data accuracy. Additionally, the paper examines methods for minimizing errors arising from human factors through automation of measurement data processing. The proposed methods and algorithms can be useful for engineers responsible for product quality control, as well as researchers in metrology interested in improving measurement technologies to enhance the accuracy of complex parts inspection.