CFD modeling plays a essential role in designing efficient paint lines by enabling engineers to analyze and refine the dynamic interactions between airstream dynamics, liquid paint, and Tehran Poshesh component contours before any hardware samples are built. In robotic painting setups, achieving consistent film depth, limiting excess deposition, and meeting environmental standards are critical goals that demand exact modulation over spray booth climate. CFD modeling allows manufacturers to map how air speed, ambient heat, and humidity affect the dispersion and settling of paint particles within a coating enclosure. By analyzing these variables in a virtual environment, designers can detect areas of disrupted flow, flow voids, or air rebound that could lead to surface imperfections like sagging, orange peel, or patchy finish. This simulation advantage reduces the need for repeated prototyping during installation and commissioning. Furthermore, fluid modeling help in fine-tuning the positioning and angle of spray nozzles, extraction units, and air curtains, ensuring that paint is concentrated on critical areas while capturing overspray efficiently. This not only improves material utilization but also decreases material loss and maintenance costs. The combining CFD with digital systems, such as industrial robot control, and on-line measurement inputs, allows for dynamic adjustments during production, making paint lines more responsive and adaptable. As sustainability requirements grow, and productivity goals rise, fluid simulation technology has become an strategic necessity for automotive, aerospace, and industrial manufacturers seeking to achieve premium results, green operations, and lower TCO in their paint application processes.