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PIEZOELECTRIC SENSOR TECHNOLOGY: Moving Toward More Efficient Machine Monitoring: A new system that uses simple and compact force or strain sensors, which can be integrated inside toolholders or mounted on surfaces such as spindle housings, can facilitate CNC machine monitoring

• Authors : KORN, DEREK

Subjects: *PROCESS control systems; *MACHINING; *MACHINERY

• Source: Production Machining. Apr2024, Vol. 24 Issue 4, p30-33. 4p.

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Coordinates to the Future.

• Authors : CANNELL, THOM

Subjects: *MACHINING; *MANUFACTURING processes; *ELECTRIC vehicle batteries

• Source: Manufacturing Engineering. Dec2023/Jan2024, Vol. 171 Issue 5, p50-57. 8p.

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Technical and Economic Description of the Research on a Measuring Device for Continuous Measurement of the Diameter and Vibration of the Workpiece during the Machining Process.

• Authors : Kreheľ, Radoslav¹ (AUTHOR); Szentivanyi, Patrik² (AUTHOR); Kočiško, Marek³ (AUTHOR)

• Source: Advances in Materials Science & Engineering. 11/20/2021, p1-9. 9p.

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Precision measurement method of "cradle-type" five-axis machining center.

• Authors : Hu, Lai¹ (AUTHOR); Chen, Zhenggang¹ (AUTHOR); Chen, Yaolong¹ (AUTHOR)

• Source: International Journal of Advanced Manufacturing Technology. Apr2021, Vol. 113 Issue 11/12, p3195-3209. 15p. 5 Color Photographs, 1 Diagram, 5 Charts, 6 Graphs.

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Post Optical Freeform Compensation Technique for Machining Errors of Large-Aperture Primary Mirror.

• Authors : Huang, Cheng; Li, Jinpeng; Cai, Zhaohan

Subjects: WAVEFRONT sensors; OPTICAL apertures; MACHINING

• Source: Photonics; Jul2023, Vol. 10 Issue 7, p768, 13p

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A review of principles of MEMS pressure sensing with its aerospace applications.

• Authors : Javed, Yaser¹ (AUTHOR) ; Mansoor, Mohtashim¹ (AUTHOR) ; Shah, Irtiza Ali¹ (AUTHOR)

Subjects: *PRESSURE sensors; *MICROELECTROMECHANICAL systems; *ELECTRIC circuits

• Source: Sensor Review. 2019, Vol. 39 Issue 5, p652-664. 13p.

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ConvLSTM deep learning signal prediction for forecasting bending moment for tool condition monitoring

• Authors : Hall, Stephanie; Newman, Stephen; Loukaides, Evros

Subjects: Deep learning; End milling; Sensors

• Source: Hall , S , Newman , S , Loukaides , E & Shokrani , A 2022 , ' ConvLSTM deep learning signal prediction for forecasting bending moment for tool condition monitoring ' , Procedia CIRP , vol. 107 , pp.

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Real-time Detection and Classification of Porous Bone Structures Using Image Segmentation and Opening Operation Techniques.

• Authors : Ching-Jung Hung; Yu-Reng Tsao; Chun-Li Lin

Subjects: ARTIFICIAL implants; K-means clustering; OPTICAL sensors

• Source: Sensors & Materials; 2022, Vol. 34 Issue 5, Part 1, p1639-1648, 10p

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Cutting tool temperature monitoring in circular sawing: measurement and multi-sensor feature fusion-based prediction.

• Authors : Nasir, Vahid^1,2 (AUTHOR); Kooshkbaghi, Marzieh³ (AUTHOR); Cool, Julie¹ (AUTHOR)

• Source: International Journal of Advanced Manufacturing Technology. Jan2021, Vol. 112 Issue 9/10, p2413-2424. 12p. 3 Color Photographs, 1 Diagram, 2 Charts, 6 Graphs.

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WFL Milling Machines Feature Smart Sensors, Control System

• Authors : Pasion, Chris

• Source: Modern Machine Shop. September 2023, Vol. 96 Issue 4, p98, 1p.

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