Design of a fuzzy logic intelligent flux spraying system for PCB production

Shahrin, Muhammad Hakimie (2024) Design of a fuzzy logic intelligent flux spraying system for PCB production. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

This research proposal aims to drastically reduce the incidence of through-hole Printed Circuit Board (PCB) rejection and rework rates in Electronics manufacturing companies. Currently, the flux spraying system employed by the company presents significant shortcomings, especially during the night shift, where there is a high propensity for the system to miss flux supply and fail to detect such malfunctions, leading to high rejection rates. The proposed solution pivots on the development and integration of a fool-proof fuzzy logic control system for optimal flux spraying. Several studies have lauded the advantages of fuzzy logic systems in precision control applications, notably in maintaining optimal conditions in complex processes. The key goals of this research are to understand the limitations of the current process, and design and implement a fuzzy logic-based control system incorporating load cells, feedback control, and flow rate monitoring. The study compare the performance of the new system with the traditional one to evaluate the efficiency and reduction in rejection rates. The research methodology involves rigorous analysis of the existing system, designing the new control system using CAD software, and simulating its performance using MATLAB/Simulink. The designed system would be prototyped and subjected to an array of tests to verify its effectiveness. This lead to a significant reduction in the rate of PCB rejections and reworks, thereby increasing production efficiency, reducing waste, and saving costs for the company. Additionally, the results will contribute to the body of knowledge in flux spraying control in PCB manufacturing.

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