In the pharmaceutical industry, the output of the capsule filling machine directly influences the production efficiency and economic advantages of the company by means of a fundamental tool. Maximizing the production process and raising the production capacity depend much on an awareness of the several elements influencing the output of the capsule filling machine.
The following elements largely define the output of the capsule filling machine:
Capsule dimensions
The capacity of the capsule determines the output of the capsule filling machine mostly. Mostly, capsules have characteristics 000#, 00#, 0#, 1#, 2#, 3#, 4#, 5#. Larger capsules, such 000# capsules, have a greater internal space and can accommodate more material, but their larger size may cause more time to be needed during the filling process to guarantee that the material is evenly distributed and the exact filling volume is attained, so somewhat lowering the filling speed. On the other hand, although their filling procedures may be somewhat quick, smaller capsules, including 5# capsules, have limited internal space and can carry rather little material.
The effect on output of the capsule filling machine's blanking technique
Among common blanking techniques are vibration blanking, spiral blanking, and gravity blanking.
Although the structure of the hopper and the material's own gravity will determine the cutting speed, gravity blanking depends on the latter and is rather simple in structure. Poor fluidity of the material will make it easy to clog or unevenly unload, therefore influencing the output.
The material is pushed down by the screw blanking through the revolving screw rod; its blanking speed is rather constant and under control. The quantity of blanking, however, is directly related to the settings of speed and pitch of the screw rod; so, an erroneous setup may result in either too much or too little blanking, so influencing the filling efficiency and capsule production.
Vibrating blanking is the application of vibration to cause uniform material fall. It can help to improve production, homogeneity and stability of blanking, and better solve material agglomeration and blockage. But the frequency and amplitude of vibration must be chosen carefully; else, splashing or uneven material distribution could result.
Effect of bladder seeding speed on capsule filling machine output
The bladder sowing speed of the capsule filling machine is mostly determined by two elements:
Mechanical characteristics include component accuracy, drive system drive system efficiency, degree of wear, etc. Should the transmission system be ineffective or faulty, bladder power transmission will slow down; insufficient accuracy or extreme component wear may cause erroneous or unsmooth blistering action and hence lower bladder speed. For instance, bladder power transfer can be unreliable depending on gear wear or transmission chain slack.
Some capsule filling devices pick up and move capsules using vacuum suction. The bladder's speed and accuracy depend directly on the size and stability of the vacuum suction force. Insufficient suction force could cause poor or delayed capsule gripping, therefore influencing the capsulating speed.
How may cam indexer affect yield?
Internal and exterior cam indexer are divisions of capsule filling machine. The built-in cam may have less energy loss during transmission and generally high transmission efficiency due to being in a rather closed and protected environment; The external rotary cam indexer may be impacted by external elements such dust, pollutants, etc.; thus, the transmission efficiency may be lowered. Regarding protection, the built-in cam is rather well protected and difficult to be disturbed and destroyed by the outside world; external indexing tables are rather more prone to collisions, rust, etc.
Comprehensive consideration of many elements including filling speed, capsule specification and type, material type, blanking method, bladder blasting speed, cam, indexing box accuracy, etc. will help to improve the output of the capsule filling machine by reasonably debugging and optimizing the equipment.