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In-Line Process Optimization with Spectroscopy
Introduction
Traditional manufacturing is undergoing a significant transformation due to rapid technological advancements. Modern data science is driving the emergence of ‘smart manufacturing, fundamentally changing how processes are developed, monitored, and assessed. Smart manufacturing aims to boost productivity, sustainability, and economic performance by seamlessly integrating all operational systems within industrial enterprises.
This article delves into the role of spectroscopy in revolutionizing smart manufacturing, highlighting how it helps foster improved product quality, consistency, and proactive process optimization. In-Line Process Analytics In smart manufacturing, accurate and timely data flow is crucial. Manufacturers aim to monitor each step of their processes to ensure optimal results. However, achieving precise control over manufacturing parameters, preventing defects, and maintaining adaptability in dynamic environments pose significant challenges. In addressing these challenges, in-line process analytics plays a vital role.2 This approach enables direct measurement of key parameters within each process in real-time, unlike traditional on-line analysis methods that rely on sampling loops. By providing continuous, real-time data, in-line process analytics allows manufacturers to swiftly adjust parameters, optimizing product quality, throughput, and yield.
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