How to Maintain a Blister Package Machine?

In pharmaceutical packaging, frequent lubrication and cleaning of blister package machines is the efficiency secret. For example, thickness of mold residue over 0.1 mm will raise the rate of failure in blister seal to 3.5% (USP<671> standard). Bayer reduced the rate of failure by 35% through daily cleaning of the mold using a 0.5% concentration alkaline cleaner (flow rate 20L/min), while lubrication of the rail (ISO VG 32 lubricants, refilled with 15ml every 500 hours) resulted in a reduction of mechanical wear by 42% (FDA Inspection Report 2022). According to Pharmaceutical Engineering International, reducing the cleaning cycle to weekly can raise the overall equipment efficiency (OEE) by 9 percent and preserve more than $120,000 of annual downtime costs.

Heat sealing system of the blister package machine requires accurate control of parameters during its maintenance. When the deviation of the heating plate temperature is > ±2℃, the sealing force of the PVC/Alu composite film is reduced from 12N/15mm to 8N/15mm (ASTM F88 standard). In 2021, the malfunction of thermocouple calibration at Pfizer resulted in an increase in blister leak rate of a batch of antihypertensive drugs by 1.2%, resulting in a recall loss of $4.3 million. It is recommended to utilize an infrared thermometer to monitor the heating plate (set value 180±1℃) every day, and replace the silicone gasket every quarter (thickness 3mm, life of 2 million stamping). Use of graphite-coated heating panels by Johnson & Johnson enhanced heat transfer efficiency by 18% and reduced energy usage by 12% ($24,000 per year in electricity savings).

Preventive replacement of transmitting components significantly extends life. Servo motor encoder of blister pack machine is recommended to be changed after 2 years or 120 million cycles (MTBF 30,000 hours), bearing (SKF 6310 model) is 12.5kN load and requires immediate maintenance as soon as the vibration value exceeds 4.5mm/s. In 2023, a Novartis production line camshaft was not timely replaced (180 million times of use), resulting in a phase deviation of punching by 0.3°, an additional 17,000 pieces of waste per day, and more than $50,000 in maintenance costs. ISO 13379 Predictive Maintenance standards provide that the metal debris concentration of gearbox oil can be monitored every month (limit ≤50ppm) and provide early warning for as much as 75% of mechanical failure.

The electrical system maintenance requires focused sensors and PLC stability. When the lens of photoelectric sensors (e.g., SICK GL6) were fouled with over 30% of the surface area, the false positive rate for absent particle detection increased from 0.01% to 1.2%. By weekly cleaning of the sensor with anhydrous ethanol (which restored the light transmission to 98%), Roche reduced the false pick rate to 0.05% ($96,000 in annual raw material cost savings). More, PLC firmware is required to be upgraded to the current release every 6 months (e.g. Siemens STEP7 V18), which in one case introduced a 300ms delay in communication and threefold increase in triggering equipment scram frequency (GAMP5 compliance audit records).

Environmental control is crucial to ensuring stable operation of the blister package machine. When the workshop humidity is > 60%RH, the PVC film’s water absorption is enhanced by 0.3%, resulting in a size variation of ±0.2mm in blister molding (normal ±0.05mm). In 2020, Merck India plant did not run the dehumidification system (dew point -10 ° C) due to the rainy season, and 8% of one batch of 500,000 plate bubble caps were deformed, resulting in a loss of $240,000. It is recommended to maintain ambient temperature of 22±2 ° C, humidity of 45±5%RH, and install a positive pressure air curtain (wind speed 0.3m/s) to keep dust out, extending the interval between equipment failure by 40% (ISO 14644 clean room standard).

Performance in maintenance is improved by using digital tools. By monitoring 10,000+ data points of the blister package machine (e.g., pressure 0.6±0.02MPa, vacuum -0.8bar), the Schneider EcoStruxure system forecasts mold life error ≤±5%. When Sanofi implemented the AI model, spare parts inventory decreased by 30% and emergency procurement costs decreased by 62% (McKinsey Digital Report 2023). Blockchain technology (e.g., SAP DMC) records each maintenance activity, reducing the audit traceability time from 72 hours to 15 minutes, in compliance with FDA 21 CFR Part 11 electronic signature regulations.

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