Cyber-Physical System Utilizing Work-Piece Memory in Digital Manufacturing

Berry, Cody; Barari, Ahmad

doi:10.1016/j.ifacol.2019.10.023

Cited by 16 publications

(3 citation statements)

References 31 publications

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“…The new paradigm of digital metrology for inspection of geometric features and dimensional accuracies is described as a cyber-physical system with three major cyber components. These three cyber components are described as Point Measurement Planning (PMP), Substitute Geometry Estimation (SGE), and Deviation Zone Evaluation (DZE) [11,12]. In several previous research works the effects of sampling strategy including the number and procedure of data collection on the inspection uncertainty are investigated [4,13,14] and several methodologies for selection of the best set of data points in the inspection process are developed.…”

Section: Literature Reviewmentioning

confidence: 99%

Data Analytics for Noise Reduction in Optical Metrology of Reflective Planar Surfaces

2021

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On-line data collection from the manufactured parts is an essential element in Industry 4.0 to monitor the production’s health, which required strong data analytics. The optical metrology-based inspection of highly reflective parts in a production line, such as parts with metallic surfaces, is a difficult challenge. As many on-line inspection paradigms require the use of optical sensors, this reflectivity can lead to large amounts of noise, rendering the scan inaccurate. This paper discusses a method for noise reduction and removal in datapoints resulting from scanning the reflective planar surfaces. Utilizing a global statistic-based iterative approach, noise is gradually removed from the dataset at increasing percentages. The change in the standard deviation of point-plane distances is examined, and an optimal amount of noisy data is removed to reduce uncertainty in representing the workpiece. The developed algorithm provides a fast and efficient method for noise reduction in optical coordinate metrology and scanning.

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Section: Literature Reviewmentioning

confidence: 99%

Data Analytics for Noise Reduction in Optical Metrology of Reflective Planar Surfaces

2021

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“…In this way, closed-loop machining contributes to smart manufacturing [18][19][20] by increasing the productivity, reliability, and sustainability of the machining process. Using the collected information by integrated inspection systems, manufacturing errors can either be corrected on-machine, or additional downstream manufacturing processes can be prescribed for error compensation [21]. Different methods and algorithms have been studied on the two first cyber components of IIS, i.e., PMP [3,[22][23][24][25][26][27] and SGE [28][29][30][31][32], but research on DZE is limited to fewer ones, despite its high significance.…”

Section: Introductionmentioning

confidence: 99%

Skin Imaging: A Digital Twin for Geometric Deviations on Manufactured Surfaces

Ghanbary Kalajahi,

Mahboubkhah,

Barari

2023

Applied Sciences

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Closed-loop manufacturing is crucial in Industry 4.0, since it provides an online detection–correction cycle to optimize the production line by using the live data provided from the product being manufactured. By integrating the inspection system and manufacturing processes, the production line achieves a new level of accuracy and savings on costs. This is far more crucial than only inspecting the finished product as an accepted or rejected part. Modeling the actual surface of the workpiece in production, including the manufacturing errors, enables the potential to process the provided live data and give feedback to production planning. Recently introduced “skin imaging” methodology can generate 2D images as a comprehensive digital twin for geometric deviations on any scanned 3D surface including analytical geometries and sculptured surfaces. Skin-Image has been addressed as a novel methodology for continuous representation of unorganized discrete 3D points, by which the geometric deviation on the surface is shown using image intensity. Skin-Image can be readily used in online surface inspection for automatic and precise 3D defect segmentation and characterization. It also facilitates search-guided sampling strategies. This paper presents the implementation of skin imaging for primary engineering surfaces. The results, supported by several industrial case studies, show high efficiency of skin imaging in providing models of the real manufactured surfaces.

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“…This distinction in CPS context is further exemplified in studies using for reduce the traffic congestion and delays, energy-aware buildings, and manage the evacuations lines (Rajkumar et al, 2010). There is a growing body of literature that recognizes the importance of CPS in the Digital transformation (Berry & Barari, 2019;de Paula Ferreira et al, 2020;Lee, Bagheri, & Kao, 2014).…”

Section: Justification and Problem Statementmentioning

confidence: 99%

Smart workstation of a cyber physical production system with digital human awareness

Morales¹

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La cuarta revolución industrial es una transformación de los modelos de manufactura y servicios mediante la aplicación de tendencias digitales y nuevas tecnologías que permitan la flexibilización de los procesos y la creación de nuevos de mercados en las compañías. Las industrias actuales buscan una satisfacción elevada del cliente y un manejo eficiente de la cadena de abastecimiento que le permita permanecer en el entorno incierto y mercado volátil en el cual se encuentra. Mediante este enfoque nace los Sistemas Ciberfisicos, encargados de la coordinación y manejo de los diferentes componentes, siendo una tecnología habilitadora en el contexto de la transformación digital. Por otra parte, es innegable el aporte del capital humano en los procesos productivos. A pesar de esto, son pocos los avances que se tienen para la integración de los humanos dentro de los sistemas productivos de la cuarta revolución industrial. Mediante la articulación entre los sistemas ciberfisicos y nuevas tecnologías como lo es el Digital Twin, el presente trabajo busca brindar un modelo que tenga en cuenta el comportamiento del humano dentro del sistema sin afectar la eficiencia operativa.

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Cyber-Physical System Utilizing Work-Piece Memory in Digital Manufacturing

Cited by 16 publications

References 31 publications

Data Analytics for Noise Reduction in Optical Metrology of Reflective Planar Surfaces

Data Analytics for Noise Reduction in Optical Metrology of Reflective Planar Surfaces

Skin Imaging: A Digital Twin for Geometric Deviations on Manufactured Surfaces

Smart workstation of a cyber physical production system with digital human awareness

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