Data‐driven framework for the prediction of cutting force in turning

Chatterjee, Kaustabh; Zhang, Jian; Dixit, Uday S.

doi:10.1049/iet-cim.2019.0055

Cited by 3 publications

(1 citation statement)

References 53 publications

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“…These do not leverage any of the benefits of the cloud. The authors of [20] present a data-driven framework for the prediction of cutting forces. In [21], a digital twin model that is suited for machine tool design and optimisation is presented, whereas [22] presents a digital twin driven-data flow framework for cutting tools.…”

Section: Literature Review: Digital Twins For Monitoring Of a Machine...mentioning

confidence: 99%

Development and deployment of a digital twin for monitoring of an adaptive clamping mechanism, used for high performance composite machining

Weckx

Meyers

Jordens

et al. 2022

IET Collab Intel Manufact

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In this work, we present a cloud‐based digital twin for monitoring of a clamping technology for machining of composite parts. Supporting large and/or freeform composite parts is crucial to avoid bending during drilling. Bending of the part will lead to delamination and frayed edges of the drilled holes. The new active clamping technology allows to realise a stabilised fixture, localised in the area where the drilling occurs, to avoid bending. This significantly improves the quality of the drilled holes. The clamping device is equipped with an IoT edge device, with a bidirectional communication to the cloud. The cloud‐based digital twin analyses the quality of the drilled holes based on computer vision, monitors the drill wear and detects incorrect operation of the active clamping device. All data is stored in the cloud. By means of a knowledge graph, which acquires and integrates information into an ontology and provides a central information access, it will be easier for a data scientist to query this data and to gain new insights in the operation of the drill with active clamping device. The full deployment occurs on the Microsoft Azure cloud platform. This transforms the standard machine into an Industry 4.0 compliant machine.

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Section: Literature Review: Digital Twins For Monitoring Of a Machine...mentioning

confidence: 99%

Development and deployment of a digital twin for monitoring of an adaptive clamping mechanism, used for high performance composite machining

Weckx

Meyers

Jordens

et al. 2022

IET Collab Intel Manufact

View full text Add to dashboard Cite

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A Methodology for Data-Driven Estimation of Forging Load

Chatterjee

Dixit

Zhang

et al. 2022

Lecture Notes in Mechanical Engineering

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Comparative Analysis of Cutting Forces in CNC Milling of MDF: The Role of Tool Coatings, Cutting Speed, and Feed Per Tooth

Hanincová,

Procházka,

Novák

2024

Coatings

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This study investigates the influence of various tool coatings, cutting speeds, and feed per tooth values on cutting forces during the CNC milling of Medium Density Fiberboard (MDF). The coatings tested include reference, TripleSi, Hyperlox, DLC, and lapped coatings. Experiments were conducted using an SCM Morbidelli m100 CNC milling machine under controlled conditions. Cutting speeds were set at 8, 10, and 12 m/s, while feed per tooth values were varied at 0.1, 0.2, and 0.3 mm. Cutting forces were measured using a three-axis piezoelectric dynamometer Kistler, and the data were analyzed to determine the impact of these variables on cutting performance. The results revealed that while cutting speed had a minimal effect on cutting forces, feed per tooth significantly influenced them, with higher values of feed per tooth leading to increased forces. Among the coatings, lapped and TripleSi exhibited the lowest cutting forces, whereas DLC showed the highest. Statistical analysis, including ANOVA and Scheffé tests, confirmed the significant differences between the coatings and highlighted the superior performance of the lapped and TripleSi coatings in reducing cutting forces.

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Data‐driven framework for the prediction of cutting force in turning

Cited by 3 publications

References 53 publications

Development and deployment of a digital twin for monitoring of an adaptive clamping mechanism, used for high performance composite machining

Development and deployment of a digital twin for monitoring of an adaptive clamping mechanism, used for high performance composite machining

A Methodology for Data-Driven Estimation of Forging Load

Comparative Analysis of Cutting Forces in CNC Milling of MDF: The Role of Tool Coatings, Cutting Speed, and Feed Per Tooth

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