Systems and methods control the operation of a blow molder. An indication of a crystallinity of at least one container produced by the blow molder may be received along with a material distribution of the at least one container. A model may be executed, where the model relates a plurality of blow molder input parameters to the indication of crystallinity and the material distribution and where a result of the model comprises changes to at least one of the plurality of blow molder input parameters to move the material distribution towards a baseline material distribution and the crystallinity towards a baseline crystallinity. The changes to the at least one of the plurality of blow molder input parameters may be implemented.

Systems and methods for controlling the operation of a blow molder are disclosed. An indication of a crystallinity of at least one container produced by the blow molder may be received along with a material distribution of the at least one container. A model may be executed, where the model relates a plurality of blow molder input parameters to the indication of crystallinity and the material distribution and where a result of the model comprises changes to at least one of the plurality of blow molder input parameters to move the material distribution towards a baseline material distribution and the crystallinity towards a baseline crystallinity. The changes to the at least one of the plurality of blow molder input parameters may be implemented.

Systems and methods for controlling the operation of a blow molder are disclosed. An indication of a crystallinity of at least one container produced by the blow molder may be received along with a material distribution of the at least one container. A model may be executed, where the model relates a plurality of blow molder input parameters to the indication of crystallinity and the material distribution and where a result of the model comprises changes to at least one of the plurality of blow molder input parameters to move the material distribution towards a baseline material distribution and the crystallinity towards a baseline crystallinity. The changes to the at least one of the plurality of blow molder input parameters may be implemented.

Systems and methods for controlling the operation of a blow molder are disclosed. An indication of a crystallinity of at least one container produced by the blow molder may be received along with a material distribution of the at least one container. A model may be executed, where the model relates a plurality of blow molder input parameters to the indication of crystallinity and the material distribution and where a result of the model comprises changes to at least one of the plurality of blow molder input parameters to move the material distribution towards a baseline material distribution and the crystallinity towards a baseline crystallinity. The changes to the at least one of the plurality of blow molder input parameters may be implemented.

Systems and methods control the operation of a blow molder. An indication of a crystallinity of at least one container produced by the blow molder may be received along with a material distribution of the at least one container. A model may be executed, where the model relates a plurality of blow molder input parameters to the indication of crystallinity and the material distribution and where a result of the model comprises changes to at least one of the plurality of blow molder input parameters to move the material distribution towards a baseline material distribution and the crystallinity towards a baseline crystallinity. The changes to the at least one of the plurality of blow molder input parameters may be implemented.

Systems and methods for controlling the operation of a blow molder are disclosed. An indication of a crystallinity of at least one container produced by the blow molder may be received along with a material distribution of the at least one container. A model may be executed, where the model relates a plurality of blow molder input parameters to the indication of crystallinity and the material distribution and where a result of the model comprises changes to at least one of the plurality of blow molder input parameters to move the material distribution towards a baseline material distribution and the crystallinity towards a baseline crystallinity. The changes to the at least one of the plurality of blow molder input parameters may be implemented.

The present invention relates to a method for manufacturing containers from thermoplastic materials by blow moulding or extrusion blow moulding a preform that has been pre-heated in a furnace then placed in a mould consisting of two half-moulds that define a moulding cavity, said preform being blown into the mould, optionally with a pre-blowing step. Said steps of heating the preforms, pre-blowing and blowing are controlled by a control unit on the basis of various control parameters such as the temperature in the furnace, the blowing pressure in the mould and/or the pre-blowing pressure and/or the pre-blowing flow rate and/or the speed of the stretching rod, for example. Said method is characterised in that it comprises at least the following steps: i) measuring the wall thickness of said containers at at least two different heights upon exiting the mould; ii) comparing the thickness measurements with setpoint values determined for each height of the containers; iii) if the difference between the thickness measurements and the determined setpoint values is greater than a determined threshold, modifying at least one of the control parameters, said modified control parameter(s) being selected at least by calculating the theoretical effects of the variation for each parameter on the thicknesses, then selecting the parameter or parameters that cause the smallest difference between the measured thickness values and the theoretical thickness values; iv) steps i) to iii) are repeated until the differences between the thickness measurements and the determined setpoint values are below said determined threshold.

Systems and methods for controlling the operation of a blow molder are disclosed. An indication of a crystallinity of at least one container produced by the blow molder may be received along with a material distribution of the at least one container. A model may be executed, where the model relates a plurality of blow molder input parameters to the indication of crystallinity and the material distribution and where a result of the model comprises changes to at least one of the plurality of blow molder input parameters to move the material distribution towards a baseline material distribution and the crystallinity towards a baseline crystallinity. The changes to the at least one of the plurality of blow molder input parameters may be implemented.

A device for optical inspection of caps includes an illuminator configured to emit a beam of light directed at a cap located at an inspection position; a detector configured to capture an image of the cap interposed between the illuminator and the detector, where the illuminator includes an emission-polarizing filter configured to generate a polarized light beam, and where the detector includes a receiving polarizing filter configured to receive the polarized light beam.

The present invention provides a method for producing a resin bottle formed from a preform as a prototype by a blow molding process. The method comprises: a first step of measuring each of weights or wall thicknesses of a plurality of inspection parts set in a body portion of the preform; a second step of comparing each of the weights or the wall thicknesses measured by the first step with a preset set value, and thereby inspecting a difference between each of the weights or the wall thicknesses measured by the first step and the set value for each of the inspection parts; and a third step of adjusting a condition for blow molding in the blow molding process in accordance with an inspection result of each of the inspection parts.