Forming 4.0: Smart machine components applied as a hybrid plain bearing and a tool clamping system

Kurth, Robin; Tehel, Robert; Päßler, T.; Pütz, Matthias; Wehmeyer, K.; Kraft, Christian; Schwarze, Hubert

doi:10.1016/j.promfg.2018.12.045

Cited by 15 publications

(6 citation statements)

References 2 publications

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“…Other approaches for the in-process measurement of bolster plate deformations are based on strain gauge-and piezo-based sensors for the measurement of width changes of T-slots under load [12,34,35] (Figure 2k), as well as novel clamping systems for forming tools [36,37] where the deformation of the clamping devices themselves is used to infer the bolster plate deformation. However, the calculation of absolute deformation values from the measurement data of both systems can currently only be achieved through prior calibration measurements using established measurement methods.…”

Section: Introductionmentioning

confidence: 99%

New Method for Precise Measurement of Clamping Plate Deformations on Forming Presses

Ivanov,

Burkhardt,

Penter

et al. 2024

Machines

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The deformation of press bolster plates under load can significantly impact the quality of manufactured workpieces. Consequently, press manufacturers are usually obliged to provide the metric proof of the permissible deformation values during the press commissioning process. Unfortunately, the existing measurement methods for determining bolster plate deformations present flaws in the measurement accuracy, the application flexibility, the metrological effort, and other aspects. These issues have been addressed through the development of a new measurement method using multiple inclination profiles on the surface of the measured object. Based on the difference in the inclination between the unloaded and loaded states, the method approximates the inclination surface and calculates the deformation of the measured object through integration. The measurement method was first used for commissioning tests of forming presses. A comparison with the results obtained with a measurement frame equipped with high-resolution measurement probes demonstrates an accuracy of the new method of less than 20 µm.

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Section: Introductionmentioning

confidence: 99%

New Method for Precise Measurement of Clamping Plate Deformations on Forming Presses

Ivanov,

Burkhardt,

Penter

et al. 2024

Machines

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“…Alaluss et al [7] analyzed underlying interdependencies and mechanism of action. An assessment of the various sensors systems [2,3,[8][9][10] associated with tool clamping interfaces regarding different applications requirements (capability for inline monitoring, complexity, robustness, adaptability and state of development) is documented. Here, these sensor systems can be divided into three main groups depending on the mechanism of action and the target parameters:…”

Section: Introductionmentioning

confidence: 99%

“…Nevertheless, these systems are hardly used industrially, because either the robustness or the adaptability is too low, and the integration effort is immense. • The elastic deformation behavior of clamping devices due to changes in the acting press forces during the forming operation is used as a basis for strain measurement [10]: By evaluating the strains as target parameter, process trends and machine reaction can be continuously recorded. However, clamping elements are often located outside the path of process force, so that small process changes are difficult to detect.…”

Section: Introductionmentioning

confidence: 99%

Process Monitoring using Digital Twin-Based Sensors integrated in Tool Clamping Surfaces

Kurth

Alaluss

Wagner

et al. 2023

IOP Conf. Ser.: Mater. Sci. Eng.

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Process monitoring in forming technology can serve as a basis for transparent manufacturing and closed-loop control systems. Particularly, sensor systems associated with tool clamping interfaces offer great potential for robust inline process monitoring but are hardly investigated. In this paper, a concept to monitor a sheet metal forming process combined with a digital twin-based approach for virtual sensors is introduced. Here, sensors integrated into the T-slots of tool clamping surfaces in forming machines are enhanced by a mathematical representation of the elasto-mechanical behavior of the tool clamping interfaces. Moreover, the potential of the certain sensor system for inline process monitoring is highlighted. The resulting approach is substantiated by simulative analysis and by experimental investigation.

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“…Moreno et al [ 14 ] propose the construction of a digital twin for sheet metal punching machine with a conclusion that there is a necessity of the machining process virtualization of this kind which improves the manufacturing process, while Kurth et al [ 15 ] mention how, by digitalization, higher process reliability can be achieved with implementation of smart machine components which gather and evaluate machine and process data on decentralized spots with certain integrated sensors.…”

Section: Introductionmentioning

confidence: 99%

Industry 4.0 Readiness Calculation—Transitional Strategy Definition by Decision Support Systems

Trstenjak

Opetuk

Cajner

et al. 2022

Sensors

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The digitization of the manufacturing industry, 10 years after the introduction of the Industry 4.0 concept, is still one of the most demanding tasks for the companies, especially for SMEs. As one of the biggest barriers in new business model implementation, the lack of strategy and workforce skills is frequently mentioned in the literature. The high level of investments it requires and the perception of high risks with unclear future benefits can be avoided with readiness factor calculation. This paper presents a novel model for readiness factor calculation, oriented to process planning and based on decision support systems. The model enables the definition of the optimal strategic plan for the digitization with the use of decision support systems (analytic hierarchy process) and through the use of statistical methods implemented within the model it minimizes the influence of human subjectivity and quantification of qualitative criteria. This innovative approach enables the understanding of the transition process to new technology-enabled business models, in this case oriented towards process planning. The useability and reliability of the model is proven in a case study of a metal machining company.

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Forming 4.0: Smart machine components applied as a hybrid plain bearing and a tool clamping system

Cited by 15 publications

References 2 publications

New Method for Precise Measurement of Clamping Plate Deformations on Forming Presses

New Method for Precise Measurement of Clamping Plate Deformations on Forming Presses

Process Monitoring using Digital Twin-Based Sensors integrated in Tool Clamping Surfaces

Industry 4.0 Readiness Calculation—Transitional Strategy Definition by Decision Support Systems

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