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Title: Investigation on Smart Parts with Embedded Piezoelectric Sensors via Additive Manufacturing

Abstract

The goal of this proposed research is to design, fabricate, and evaluate “smart parts” with embedded sensors for energy systems. The “smart parts” will be fabricated using Electron Beam Melting (EBM) 3D printing technique with built-in piezoceramic sensors. The objectives of the proposed project are: 1) Fabricate energy system related components with embedded sensors, 2) Evaluate the mechanical properties and sensing functionalities of the “smart parts” with embedded piezoceramic sensors, and 3) Assess in-situ sensing capability of energy system parts. The second year’s research of the research is centered on fabrication of the “smart parts” with considerations of overall material property as well as demonstration of sensing functionalities. The results for the final report are presented here, including all research accomplishment, project management. Details are included such as: how the design and fabrication of sensor packaging could improve the sensor performance, demonstration of “smart parts” sensing capabilities, analysis on the elements that constitute the “smart sensors”, advanced “stop and go” fabrication process, smart injector fabrication using SLM technology, smart injector testing in combustion environments etc. Research results to date have generated several posters and papers.

Authors:
 [1]
  1. Univ. of Texas, El Paso, TX (United States)
Publication Date:
Research Org.:
University of Texas, El Paso, TX (United States)
Sponsoring Org.:
USDOE Office of Fossil Energy (FE)
OSTI Identifier:
1412094
Report Number(s):
DOE-UTEP-FE12321
DOE Contract Number:  
FE0012321
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
01 COAL, LIGNITE, AND PEAT; Smart Parts; sensor; additive manufacturing

Citation Formats

Lin, Yirong. Investigation on Smart Parts with Embedded Piezoelectric Sensors via Additive Manufacturing. United States: N. p., 2017. Web. doi:10.2172/1412094.
Lin, Yirong. Investigation on Smart Parts with Embedded Piezoelectric Sensors via Additive Manufacturing. United States. https://doi.org/10.2172/1412094
Lin, Yirong. 2017. "Investigation on Smart Parts with Embedded Piezoelectric Sensors via Additive Manufacturing". United States. https://doi.org/10.2172/1412094. https://www.osti.gov/servlets/purl/1412094.
@article{osti_1412094,
title = {Investigation on Smart Parts with Embedded Piezoelectric Sensors via Additive Manufacturing},
author = {Lin, Yirong},
abstractNote = {The goal of this proposed research is to design, fabricate, and evaluate “smart parts” with embedded sensors for energy systems. The “smart parts” will be fabricated using Electron Beam Melting (EBM) 3D printing technique with built-in piezoceramic sensors. The objectives of the proposed project are: 1) Fabricate energy system related components with embedded sensors, 2) Evaluate the mechanical properties and sensing functionalities of the “smart parts” with embedded piezoceramic sensors, and 3) Assess in-situ sensing capability of energy system parts. The second year’s research of the research is centered on fabrication of the “smart parts” with considerations of overall material property as well as demonstration of sensing functionalities. The results for the final report are presented here, including all research accomplishment, project management. Details are included such as: how the design and fabrication of sensor packaging could improve the sensor performance, demonstration of “smart parts” sensing capabilities, analysis on the elements that constitute the “smart sensors”, advanced “stop and go” fabrication process, smart injector fabrication using SLM technology, smart injector testing in combustion environments etc. Research results to date have generated several posters and papers.},
doi = {10.2172/1412094},
url = {https://www.osti.gov/biblio/1412094}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Dec 10 00:00:00 EST 2017},
month = {Sun Dec 10 00:00:00 EST 2017}
}