Process Automation

A Brief Introduction

Processes Automation, Monitoring, and Control involve integrating technology to streamline and regulate Manufacturing processes. Automation employs systems like PLCs (Programmable Logic Controllers) and software to perform tasks automatically, enhancing efficiency. Monitoring uses sensors and data analytics to track process variables, ensuring optimal performance. Control mechanisms, often utilizing feedback loops, adjust operations based on real-time data, maintaining desired outcomes. Such as Closed-loop Control of Microstructure in Laser Metal Deposition Process. This synergy of automation, monitoring, and control optimizes production, reduces errors, and enhances overall operational efficiency in various applications, ranging from manufacturing to energy, by ensuring precision, reliability, and reparability in complex processes.

Projects

This groundbreaking project introduces an automated gasket inspection system, utilizing laser technology and advanced image processing algorithms. This innovative system significantly reduces measurement errors, enhancing precision in assessing the width, thickness, angle, and shape of standard sealing gaskets. The development of a user-friendly Graphical User Interface (GUI) further streamlines the inspection process, making it accessible even for users with no coding expertise. This automated system increased accuracy, providing reliable and efficient gasket measurements. ...
The Deposition 3D Scan project innovatively utilizes an image processing-based algorithm for precise 3D profiling of laser additive manufacturing-deposited layers. Achieving remarkable accuracy, with 96% in width and 98% in height detection, surpassing ISO standards, this non-destructive method outpaces conventional approaches in both accuracy and simplicity. The incorporation of a single camera enhances practicality. This advanced solution offers a streamlined and accurate means of assessing deposited tracks, marking a significant stride in non-destructive quality control ...
The primary hurdle in programming of laser welding’s motion systems lies in the alignment of laser beam with the seams to achieve a high-quality weld. Traditionally, achieving such weld joints necessitated the programmer to manually set numerous points along the seam—a time consuming process. In response to this challenge, our project introduces a real-time seam tracking system. This system is adept at sensing and generating the optimal welding path in real-time, concurrently guiding the robotic ...