B65B37/00

Method and machine for producing bags containing fiber material

A method for producing bags containing fiber material, comprises the steps of forming at least one continuous layer of fiber material; separating in succession portions of fiber material from the continuous layer and moving them along a predetermined path; feeding each portion of fiber material to respective containment and compaction elements of a first transfer conveyor; feeding an ordered succession of bags containing respective portions of fiber material to respective supporting elements of a second transfer conveyor; transferring the portions of fiber material into respective housings of a third transfer conveyor; transferring the portions from the third transfer conveyor inside respective containment bags carried by a second transfer conveyor; transferring the containment bags from the second transfer conveyor to a fourth transfer conveyor; and moving in succession the bags housing respective portions of fiber material to a folding unit at which the bags are closed.

Method and machine for producing bags containing fiber material

A method for producing bags containing fiber material, comprises the steps of forming at least one continuous layer of fiber material; separating in succession portions of fiber material from the continuous layer and moving them along a predetermined path; feeding each portion of fiber material to respective containment and compaction elements of a first transfer conveyor; feeding an ordered succession of bags containing respective portions of fiber material to respective supporting elements of a second transfer conveyor; transferring the portions of fiber material into respective housings of a third transfer conveyor; transferring the portions from the third transfer conveyor inside respective containment bags carried by a second transfer conveyor; transferring the containment bags from the second transfer conveyor to a fourth transfer conveyor; and moving in succession the bags housing respective portions of fiber material to a folding unit at which the bags are closed.

Pillbox loading device
09561154 · 2017-02-07 ·

A pillbox loading device receives a pillbox and has a top opening alignable with the pillbox compartments. Channels extend from the top opening and define funnels that guide the pills into the pillbox.

SYSTEMS AND METHODS FOR FORMING DUAL LAYER WATER SOLUBLE PACKETS
20250223067 · 2025-07-10 ·

A method of forming dual layer water soluble packets includes drawing a base film into a cavity of a mold, drawing air through openings in the base film, metering an amount of a first product of a first color onto the base film in the cavity, metering an amount of a second product of a second color onto the amount of the first product, and, sealing a lid film to the base film.

Enhancing package formation in a food packaging system based on reinforcement learning

Methods and apparatus described for forming individual packages in a food packaging machine comprising a plurality of sub-systems. One or more local variable values are received, which indicate measurements by the food packaging machine of one or more physical parameters for a local sub-system. One or more remote variable values are received, which indicate measurements by the food packaging machine of one or more physical parameters for one or remote sub-systems. One or more control parameter values are determined for the local sub-system of the food packaging machine, by processing the remote variable values and the local variable values using a reinforcement learning model and a local control model. One or more control parameters of the local sub-system are adjusted in accordance with the determined control parameter values. The formation of individual packages by the food packaging machine is controlled in accordance with the adjusted one or more control parameters.

Enhancing package formation in a food packaging system based on reinforcement learning

Methods and apparatus described for forming individual packages in a food packaging machine comprising a plurality of sub-systems. One or more local variable values are received, which indicate measurements by the food packaging machine of one or more physical parameters for a local sub-system. One or more remote variable values are received, which indicate measurements by the food packaging machine of one or more physical parameters for one or remote sub-systems. One or more control parameter values are determined for the local sub-system of the food packaging machine, by processing the remote variable values and the local variable values using a reinforcement learning model and a local control model. One or more control parameters of the local sub-system are adjusted in accordance with the determined control parameter values. The formation of individual packages by the food packaging machine is controlled in accordance with the adjusted one or more control parameters.

Performing web tensioning adjustments in a food packaging system based on reinforcement learning

Methods and apparatus, including computer program products, are described for controlling web tensioning in a food packaging machine comprising a plurality of sub-systems. One or more local variable value are received, which indicate measurements by the food packaging machine of one or more physical parameters for a web tensioning sub-system. One or more remote variable values are received, which indicate measurements by the food packaging machine of one or more physical parameters for one or remote sub-systems. One or more control parameter values are determined for the web tensioning sub-system, by processing the remote and the local variable values using a reinforcement learning model and a local control model. One or more control parameters of the web tensioning sub-system are adjusted in accordance with the determined control parameter values.

Performing web tensioning adjustments in a food packaging system based on reinforcement learning

Methods and apparatus, including computer program products, are described for controlling web tensioning in a food packaging machine comprising a plurality of sub-systems. One or more local variable value are received, which indicate measurements by the food packaging machine of one or more physical parameters for a web tensioning sub-system. One or more remote variable values are received, which indicate measurements by the food packaging machine of one or more physical parameters for one or remote sub-systems. One or more control parameter values are determined for the web tensioning sub-system, by processing the remote and the local variable values using a reinforcement learning model and a local control model. One or more control parameters of the web tensioning sub-system are adjusted in accordance with the determined control parameter values.