Blow Molding Machine Parameter Optimization for Wall Thickness
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Solution Overview
Problem
Existing blow molding technologies struggle to consistently produce containers with minimal deviation in physical parameters, such as wall thickness, from target values, affecting the quality and consistency of the containers.
Innovation Solution
A method and device that utilize an iterative process to determine an optimal machine parameter value for a blow molding machine, minimizing the deviation of physical parameters from target values by iteratively adjusting machine parameters based on measured deviations and optional disturbance variables.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a direct adjustment method is used to modify machine parameters based on measured deviations, then the control process is simple and fast, but the manufacturing precision of container wall thickness cannot be sufficiently improved
Solution Approach 1:
The patent implements a closed-loop feedback control system where wall thickness is measured after blowing, the deviation from target value is calculated, and this feedback is used to iteratively adjust machine parameters. The feedback mechanism includes measuring the actual wall thickness, comparing it with the target value, and using the deviation information to modify heating parameters for the next production cycle, thereby continuously improving manufacturing precision.
Solution Approach 2:
The patent applies preliminary action by adjusting the heating parameters of the preform before the blowing process based on predicted deviations. The system calculates the expected wall thickness deviation and pre-adjusts the heating power or heating time of the heating device before the next container is produced, preventing the deviation from occurring in the first place rather than correcting it after the fact.
2Manufacturing precision
If an iterative optimization process is implemented to minimize wall thickness deviation, then the manufacturing precision is significantly improved, but the production time and complexity increase
Solution Approach 1:
The patent applies partial action by performing iterative optimization only for critical parameters that have the most significant impact on wall thickness uniformity, such as heating power and heating time, rather than optimizing all machine parameters. This selective approach reduces the computational burden and time required while still achieving significant improvement in manufacturing precision.
Solution Approach 2:
The patent systematically changes process parameters, particularly heating parameters (power, time, temperature distribution), to optimize wall thickness uniformity. The iterative process involves modifying these parameters based on measured deviations, evaluating the effect, and continuing the modification until the optimal parameter set is found that minimizes wall thickness variation.
3Adaptability or versatility
If multiple machine parameters are adjusted simultaneously to compensate for various influences, then the adaptability to different conditions is improved, but the difficulty of controlling and optimizing the process increases
Solution Approach 1:
The patent applies local quality by differentiating the adjustment strategy for different parameters based on their specific influence on wall thickness. Instead of uniformly adjusting all parameters, the system identifies which parameters (e.g., heating power vs. blowing pressure) have the most significant local impact on specific regions of the container and focuses optimization efforts on those critical parameters, simplifying the overall control complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables more precise and efficient adjustment of machine parameters, resulting in improved quality and consistency of blow-molded containers by minimizing deviations in physical parameters from target values.
Implementation Method 1
a preform is first heated to a specific target temperature using a heating device
Implementation Method 2
then transferred into a blow mold, where it is then pressurized with blow air. The pre-tempered preform extrudes into the blow mold and adapts to its contours
Data Source
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AI summary
A method for minimizing a deviation of a physical parameter of a blow-molded container from a target value, wherein the method comprises determining a physical parameter of a container associated with a machine parameter value of a blow-molded machine and an environmental condition, based on the physical parameter and the target value; determining a change in a machine parameter, based on an iterative process; determining an optimal machine parameter value to achieve a minimal deviation from the target value of the physical parameter of a blow-molded container, the iterative process comprising a first iteration step to determine a deviation from the target value of the physical parameter of a blow-molded container based on a change in the machine parameter.and a second iteration step to determine an adapted change of a machine parameter value based on the deviation of the physical parameter of a blow-molded container from the target value, obtaining the optimal machine parameter value, the procedure further comprising controlling the blow molding machine based on the obtained optimal machine parameter value.