In the realm of mechanical engineering, this thesis delves into the design, implementation, and optimization of a dual-axis mechanism controlled by an Arduino-based system. The primary objective is to seamlessly integrate theory and application, addressing the nuanced challenges of motor selection, gear system design, and control algorithm optimization. The literature review establishes a foundation by comprehensively surveying existing research on dual-axis mechanisms, and identifying gaps, controversies, and areas requiring further exploration.

The design phase navigates through the complicated process of gathering requirements, specifying constraints, and leveraging 3D printing for fabricating gears, ensuring the mechanism aligns with size, mass, cost, and operational demands. Subsequently, the focus shifts to motor selection, where torque requirements are calculated, and a systematic approach guides the selection of a motor capable of optimal efficiency and reliability. This selection anchors the creation of a control system, employing the Arduino Uno circuit board, to orchestrate motor movements seamlessly.

Experimental validation becomes a must in the fourth task, necessitating a rigorous setup to assess the mechanism's performance under varied loads and motion patterns. Data from these experiments enables a comprehensive evaluation of accuracy, repeatability, and speed, providing insights for potential improvements.

Throughout this thesis, the simplicity and clarity of the code governing the control system underscore the fundamental principles of mechanical engineering. The successful assembly and testing of the circuit validate the theoretical foundations, affirming the practical viability of the designed dual-axis mechanism.

This thesis goes beyond simple mechanical assembly, unfolding as an exploration through the combination of theory, design, and experimentation. It incorporates the core principles of mechanical engineering as they are applied to the dynamic domain of dual-axis mechanisms.