000125253 001__ 125253
000125253 005__ 20230323145802.0
000125253 0247_ $$2doi$$a10.3390/s20051471
000125253 0248_ $$2sideral$$a132920
000125253 037__ $$aART-2020-132920
000125253 041__ $$aeng
000125253 100__ $$aPerez-Alfaro, Irene
000125253 245__ $$aLow-cost piezoelectric sensors for time domain load monitoring of metallic structures during operational and maintenance processes
000125253 260__ $$c2020
000125253 5060_ $$aAccess copy available to the general public$$fUnrestricted
000125253 5203_ $$aThe versatility of piezoelectric sensors in measurement techniques and their performance in applications has given rise to an increased interest in their use for structural and manufacturing component monitoring. They enable wireless and sensor network solutions to be developed in order to directly integrate the sensors into machines, fixtures and tools. Piezoelectric sensors increasingly compete with strain-gauges due to their wide operational temperature range, load and strain sensing accuracy, low power consumption and low cost. This research sets out the use of piezoelectric sensors for real-time monitoring of mechanical strength in metallic structures in the ongoing operational control of machinery components. The behaviour of aluminium and steel structures under flexural strength was studied using piezoelectric sensors. Variations in structural behaviour and geometry were measured, and the load and μstrains during operational conditions were quantified in the time domain at a specific frequency. The lead zirconium titanate (PZT) sensors were able to distinguish between material types and thicknesses. Moreover, this work covers frequency selection and optimisation from 20 Hz to 300 kHz. Significant differences in terms of optimal operating frequencies and sensitivity were found in both structures. The influence of the PZT voltage applied was assessed to reduce power consumption without signal loss, and calibration to μstrains and loads was performed.
000125253 536__ $$9info:eu-repo/grantAgreement/EC/H2020/869884/EU/RE-manufaCturing and Refurbishment LArge Industrial equipMent/RECLAIM$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 869884-RECLAIM
000125253 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000125253 590__ $$a3.576$$b2020
000125253 591__ $$aINSTRUMENTS & INSTRUMENTATION$$b14 / 64 = 0.219$$c2020$$dQ1$$eT1
000125253 591__ $$aCHEMISTRY, ANALYTICAL$$b26 / 83 = 0.313$$c2020$$dQ2$$eT1
000125253 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b82 / 273 = 0.3$$c2020$$dQ2$$eT1
000125253 592__ $$a0.636$$b2020
000125253 593__ $$aAnalytical Chemistry$$c2020$$dQ2
000125253 593__ $$aAtomic and Molecular Physics, and Optics$$c2020$$dQ2
000125253 593__ $$aBiochemistry$$c2020$$dQ2
000125253 593__ $$aMedicine (miscellaneous)$$c2020$$dQ2
000125253 593__ $$aInformation Systems$$c2020$$dQ2
000125253 593__ $$aInstrumentation$$c2020$$dQ2
000125253 593__ $$aElectrical and Electronic Engineering$$c2020$$dQ2
000125253 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000125253 700__ $$aGil-Hernandez, Daniel
000125253 700__ $$aMuñoz-Navascues, Oscar
000125253 700__ $$aCasbas-Gimenez, Jesus
000125253 700__ $$0(orcid)0000-0002-0321-7905$$aSanchez-Catalan, Juan Carlos
000125253 700__ $$aMurillo, Nieves
000125253 773__ $$g20, 5 (2020), 1471 [16 pp.]$$pSensors$$tSensors$$x1424-8220
000125253 8564_ $$s5045169$$uhttps://zaguan.unizar.es/record/125253/files/texto_completo.pdf$$yVersión publicada
000125253 8564_ $$s2536989$$uhttps://zaguan.unizar.es/record/125253/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000125253 909CO $$ooai:zaguan.unizar.es:125253$$particulos$$pdriver
000125253 951__ $$a2023-03-23-12:43:02
000125253 980__ $$aARTICLE