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Additive manufacturing (AM) enables the spatially configurable 3D integration of sensors in metal components to realize smart materials and structures. Outstanding sensing capabilities and size compatibility have made fiber optic sensors excellent candidates for integration in AM components. In this study, fiber Bragg grating (FBG) sensors were embedded in Inconel 718 tensile coupons printed using laser powder bed fusion AM. On-axis (fiber runs through the coupon's center of axis) and off-axis (fiber is at 5° and 10° to the coupon's center of axis) sensors were buried in epoxy resin inside narrow channels that run through the coupons. FBGs' spectral evolutions during embedment in the coupons were examined and cyclic loading experiments were conducted to analyze and evaluate the sensor integration process, complex strain loading, process flaws, and sensing performance. This study also demonstrates that the AM process-born deficiencies such as poor surface finish and staircase effects can be detrimental to the embedded sensors and their sensing performance.
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http://dx.doi.org/10.3390/s24123919 | DOI Listing |
Adv Sci (Weinh)
September 2025
School of Control Science and Engineering, Shandong University, Jinan, 250061, China.
Real-time and accurate temperature monitoring has been widely recognized in both academia and industry to ensure battery operation safety. Traditional techniques are generally limited to incomplete information caused by discrete sampling points. Hence, the spiral-serpentine distributed optical fiber sensor (DOFS) layout is presented to realize in-situ full-range temperature measurement.
View Article and Find Full Text PDFInt J Radiat Oncol Biol Phys
August 2025
Department of Radiation Oncology, Mayo Clinic, Rochester, MN, USA; Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA. Electronic address:
Purpose: Poly ADP ribose polymerase inhibitors (PARPi) are being combined with photon and proton radiotherapy in clinical trials. We sought to investigate mechanisms of PARPi radiosensitization at varying linear energy transfer (LET) levels after observing an extreme normal tissue response in an 18-year-old with high grade glioma without a germline alteration predictive of heightened radiosensitivity treated with veliparib and proton therapy.
Experimental Design: BRCA1/2 wild-type non-cancerous and cancerous cells were treated with PARPi plus photons or protons at the entrance (ENT, dose-averaged LET [LETd] 2.
Materials (Basel)
August 2025
Shandong Key Laboratory of Civil Engineering Disaster Prevention and Mitigation, Shandong University of Science and Technology, Qingdao 266590, China.
The increasing depth of coal mine construction has led to complex geological conditions involving high ground stress and elevated groundwater levels, presenting new challenges for water-sealing technologies in rock microfissure grouting. This study investigates ultrafine cement grouting in microfissures through systematic analysis of slurry properties and grouting simulations. Through systematic analysis of ultrafine cement grout performance across water-cement (W/C) ratios, this study establishes optimal injectable mix proportions.
View Article and Find Full Text PDFGels
July 2025
Department of Electrical Engineering, College of Science and Technology, University of Nottingham Ningbo China, Ningbo 315100, China.
To prolong the service life of asphalt pavement and reduce its maintenance cost, a fiber Bragg grating (FBG) sensor encapsulated in carboxylated carbon nanotube (CNT-COOH)-modified gel material suitable for strain monitoring of asphalt pavement was developed. Through tensile and bending tests, the effects of carboxylated carbon nanotubes on the mechanical properties of gel materials under different dosages were evaluated and the optimal dosage of carbon nanotubes was determined. Infrared spectrometer and scanning electron microscopy were used to compare and analyze the infrared spectra and microstructure of carbon nanotubes before and after carboxyl functionalization and modified gel materials.
View Article and Find Full Text PDFWe propose a shape-space coordinate prediction model for multi-core fiber Bragg grating (MCFBG) sensors, which integrates pretraining and transfer learning strategies with deep learning architectures. The model establishes an end-to-end mapping relationship from the center wavelength data of MCFBGs to their corresponding shape-space coordinates, which improves the accuracy of MCFBG-based shape sensing while reducing the amount of training data required in experiments. Results show that the best-performing model achieves a median terminal point error with a relative error as low as 0.
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