How to Optimize a Capsule Blister Packaging Machine?

Three requirements are essential for the optimization of capsule blister packaging machine (capsule blister packaging machine), i.e., hardware upgrade, process control and intelligence. Taking the servo drive system as an example, the upgrade of the legacy pneumatic module can enhance the speed from 200 boards/min to 350 boards/min (for example, the Bosch SVE 4020 model), reduce energy by 22%, and reduce the bubble forming failure rate from 0.5% to 0.08% through pressure closed-loop control (accuracy ± 0.1kN). In 2023, Novartis Pharmaceutical will increase its annual production capacity by 120 million boards and reduce maintenance costs by 30% by modernizing the servo system.

Tuning of the process parameters significantly improves efficiency. The vibration plate amplitude is controlled to 1.2-2.5 mm (25-40 Hz frequency), which obtains a capsule distribution density uniformity (RSD) of less than 1.5%, and the heat seal temperature is controlled at 145-160°C (aluminum-plastic film thickness of 0.25 mm) to achieve a seal strength of ≥8 N/15mm, and the material waste rate is reduced from 3% to 0.8%. With the optimization of capsule blister packing machine preheating module (±2°C gradient temperature increase) in 2022, Johnson & Johnson was able to reduce humidity sensitivity of the gelatin capsule shell by 40% and enhance shelf life to 24 months.

Smart monitoring system reduces quality risk. By. Incorporated high-precision visual inspection, for example, Cognex In-Sight 8400, identifies capsule defects (diameter deviation ≥0.3 mm) or blister seal defects (air leakage ≤0.01%) In real time with 99.95% accuracy. Roche Pharmaceuticals used AI algorithms in 2021 to predict mold wear (error ±0.02 mm) by analyzing the blanking waste shape, doubling the mold life from 500,000 to 800,000 times, and saving $480,000 in replacement costs annually. Aside from that, IoT sensors monitoring ambient humidity (fluctuation ≤± 5%RH) can reduce waste resulting from gelatin deformation, such that the pass rate increases to 99.7%.

Optimize maintenance approaches to ensure the longest equipment life. Linear rail maintenance (5 ml NSF H1 grease injection at each 72 hours) extends the bearing life from 12,000 hours to 20,000 hours, while bi-monthly heat seal pressure sensor calibration (0-20 kN) keeps the parameter drift at ±0.5%. Sun Pharma India in 2020 was forced to incur a loss of $6.2 million as a result of a failure to replace a wear die (thickness <8.2 mm), resulting in an out-of-size (±0.3 mm) blister plate. This is in comparison to the modular type like the Uhlmann B 1240 that only allows 20% of core parts to be replaced and reduces the replacement cost by 35%.

Material management innovation eliminates wastage. The use of composite film of high barrier (such as PVC/PVDC/Al) rather than the traditional aluminum-plastic film, the heat seal temperature can be reduced by 15°C, energy consumption is reduced by 12%, and oxygen permeation rate is ≤0.5 cm³/m²/day, and humidity barrier is ≤0.1 g/m²/day. In 2023, Pfizer was able to save $1.4 million annually by cutting the veneer cost by $0.007 through membrane optimization. In addition, scrap recovery systems, for example, Syntegon Eco-Plus, can reduce blanking waste percentage from 4% to 1.2%, increasing the level of material utilization to 98.5%.

Standardization and regulation drive continuous improvement. An FDA 21 CFR Part 11 compliant electronic batch recording system, for example, Optima PAS-X, can record production data per plate (timestamp accuracy ±0.1 seconds), reducing cutting deviation processing response time to 5 minutes. In 2022, Eli Lilly upgraded the audit traceability feature of capsule blister packaging machine, cutting the EU GMP certification period by 30% and market access efficiency by 25%. Intelligent optimization is able to improve the overall equipment efficiency (OEE) from 78% to 92%, says Intertek, and the return on investment cycle is reduced to 18 months.

New technologies accelerate iteration. Multivac developed AI-driven capsule blister packaging machine in 2023, which transforms complex capsule shapes (e.g., oval or two-color capsules) from 45 minutes to 8 minutes through real-time pressure-temperature compensation algorithm (response time ≤50 ms). China Chutian Technology’s 3D printing mold technology developed by it reduced the prototype development period from 30 days to 72 hours with an accuracy error of ≤±0.05 mm. Roland Berger predicts that in 2028, the world intelligent blister packaging machine market will be 6.7 billion US dollars, and 60% of the growth rate is contributed by optimization technology.

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