Sensor-Integrated Real-Time Cam Mechanism Analysis Platform Using Python

Abstract

The dynamic kinematic analysis of cam and follower mechanisms is critical for optimizing internal combustion engines, automated manufacturing systems, and high-speed industrial robotics [1], [5], [7]. Traditionally, the experimental validation of these mechanisms relied heavily on analog measurement tools, such as static dial indicators. These legacy methods are susceptible to observational error, restricted to low-speed stationary testing, and fundamentally incapable of capturing high-frequency transient dynamic behaviors like follower jump, impact forces, and mechanical resonance [1], [11]. This study presents the architectural implementation and empirical validation of a low-cost, sensor-integrated digital platform that utilizes Python and Arduino-based Data Acquisition (DAQ) to dynamically analyze cam-follower kinematics in real time. Integrating high-precision Linear Variable Differential Transformer (LVDT) sensors alongside an optical rotary encoder, the system captures continuous linear displacement and instantaneous angular telemetry. This data is processed through a custom, multi-threaded Python Graphical User Interface (GUI). Digital signal processing techniques, specifically Savitzky-Golay polynomial smoothing and moving average filters, mitigate mechanical vibration and electrical noise. This signal conditioning enables highly accurate numerical differentiation, yielding high-fidelity velocity and acceleration profiles [6], [10] previously unattainable without prohibitive capital investment. Experimental validation demonstrates a 94.2% displacement correlation accuracy against theoretical Simple Harmonic Motion (SHM) models. The system successfully highlights operational nonlinearities introduced by tribological friction, base-circle runout, and mechanical misalignment. Ultimately, this research democratizes access to precision mechanical diagnostics, offering a robust, open-source alternative to proprietary DAQ systems, bridging the gap between theoretical kinematics and practical mechanical behavior.