Commissioning new applications on processing machines: Part II – implementation

Troll, Clemens; Schebitz, Benno; Majschak, Jens‐Peter; Döring, Michael; Holowenko, Olaf; Ihlenfeldt, Steffen

doi:10.1177/1687814018754955

Cited by 8 publications

(22 citation statements)

References 11 publications

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“…Using this new type of process makes it possible to increase the maximum operating speed significantly compared to a conventional conveying process where the product is regularly not detaching from the comb. It has been shown experimentally that it is possible to increase the maximum operating speed for this example process significantly from 71 min −1 to 300 min −1 by +285% [3]. A disadvantage of the process is that with non-optimal operating speed the product may not detach from the comb at lower speeds or bounces off at higher speeds.…”

Section: Motivationmentioning

confidence: 93%

“…With conventional controls, executing such unstable processes is possible only within a very small operating speed range. In previous works, a tripartite approach for controlling operation speed-dependent processes has been developed and discussed [2][3][4][5][6]. The first part of the approach is to optimize the motion specification for a given operating speed n. In doing so, effects are taken into account whose characteristics change with the operating speed, e.g., vibrations or kinetic energy.…”

Section: Motivationmentioning

confidence: 99%

“…To achieve this, the approach is to carry out online calculations into the offline field A disadvantage of the process is that with non-optimal operating speed the product may not detach from the comb at lower speeds or bounces off at higher speeds. It is then no longer positioned correctly; the process becomes unstable [3]. This process is representative for processes that vary with the operating speed, e.g., also [5].…”

Section: Motivationmentioning

confidence: 99%

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Performance Evaluation of Offline Motion Preparation Approaches on the Example of a Non-Linear Kinematics

2020

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In motion control, the generation of motion profiles for non-linear kinematics is usually computationally complex. In order to minimize the workload on the machine’s control system, the approach pursued is outsourcing complex calculation tasks to the offline area. In this offline motion preparation, predefined criteria have to be taken into account to guarantee process stability on the real machine. During the motion preparation, a high performance is desired, characterized by less data generated and at the same time little computing effort. The evaluation will use the example of a motion specification, which is characterized by a large amount of data compared to conventional motion specifications. Thus, the demands on performance become even higher. This paper examines the performance of different motion preparation approaches known from literature. On the one hand, selected spline-based algorithms are discussed and compared. A recursive algorithm based on monomial splines is recommended for use in the example. On the other hand, a very simple approach based on the linearization of the non-linear workspace of the mechanism is presented and applied on the algorithms. With this, the performance increased significantly again.

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Section: Motivationmentioning

confidence: 93%

Section: Motivationmentioning

confidence: 99%

Section: Motivationmentioning

confidence: 99%

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Performance Evaluation of Offline Motion Preparation Approaches on the Example of a Non-Linear Kinematics

2020

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“…One approach of implementing operating-speed-dependent motion profiles in real time was firstly presented in [20] and as a result experimentally applied in [21]. The aim is to enable the provision of motion specifications for any targeted operating speed without executing the optimization in real time.…”

Section: Implementation Of Operating Speed Dependent Motion Profilesmentioning

confidence: 99%

Controlling Liquid Slosh by Applying Optimal Operating-Speed-Dependent Motion Profiles

2020

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In this paper, an investigation is presented that demonstrates the application of a new approach for enabling the reduction of liquid slosh by implementing optimized motion profiles over a continuous range of operating speeds. Liquid slosh occurs in the packaging process of beverages. Starting by creating a dynamic process model, optimal control theory is applied for calculating optimal motion profiles that minimize residual vibration. Subsequently, the difficulty of operating speed dependency of the herewith synthesized motion profiles is examined. An approach in which the optimal motion profiles are consolidated into a characteristic map of motion specifications, which can be executed by a programmable logic controller in real time, is discussed. Eventually, the success of this novel approach is demonstrated by the comparison with state-of-the-art motion profiles and conventional motion implementation.

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“…A new aspect of research in the field of model-based motion optimization is the operating-speed-dependent motion profiles that are discussed in [18,19]. Applying this approach to the motion optimization for liquid slosh, the previous modeling work has to be re-investigated and discussed regarding their operating-speed-dependent usability.…”

Section: Introductionmentioning

confidence: 99%

Modeling Transient Liquid Slosh Behavior at Variable Operating Speeds Induced by Intermittent Motions in Packaging Machines

Troll

Majschak

2020

Applied Sciences

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The present paper deals with the problem of modeling liquid slosh occurring in the packaging process of containers filled with liquid. Sloshing effects are induced by one-dimensional intermittent motions and are undesired due to the necessity of quality control processes, such as weighing. Therefore, motion optimizations are often applied with the intention to minimize the residual vibrations. Valid process models are required to do so. The aim of this paper is to derive models for describing the liquid slosh behavior for different motions and for common practical circumstances, e.g., different container geometries as well as machine operating speeds, and to state the model's limits of use. Known model approaches are discussed, and their assumptions are reviewed experimentally. This leads to a set of limited ranges of operating speeds in which the applied models' assumptions are valid. The models are derived for these sets from experimental data, and a comparison is executed that enables the determination of the models' validity concerning their operating speed dependency. Finally, the validity of the derived models is investigated by comparing their predictive efficiency of describing the vibration for different motion profiles.

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Commissioning new applications on processing machines: Part II – implementation

Cited by 8 publications

References 11 publications

Performance Evaluation of Offline Motion Preparation Approaches on the Example of a Non-Linear Kinematics

Performance Evaluation of Offline Motion Preparation Approaches on the Example of a Non-Linear Kinematics

Controlling Liquid Slosh by Applying Optimal Operating-Speed-Dependent Motion Profiles

Modeling Transient Liquid Slosh Behavior at Variable Operating Speeds Induced by Intermittent Motions in Packaging Machines

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