Výsledky vyhledávání - "non-destructive technique"

Akademický článek

Near-field microwave sensing technology enhanced with machine learning for the non-destructive evaluation of packaged food and beverage products

Autor: Ali Darwish, Marco Ricci, Jorge A. Tobon Vasquez, Claire Migliaccio, Francesca Vipiana

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)

Abstract In the food industry, the increasing use of automatic processes in the production line is contributing to the higher probability of finding contaminants inside food packages. Detecting these contaminants before sending the products to market

Externí odkaz: https://doaj.org/article/74ff916a0ef14eed90bb2b257ae9d350

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Akademický článek

Study on the Determination of Flavor Value of Rice Based on Grid Iterative Search Swarm Optimization Support Vector Machine Model and Hyperspectral Imaging

Autor: Han Yang, Fuheng Qu, Yong Yang, Xiaofeng Li, Ping Wang, Sike Guo, Lu Wang

Publikováno v: Sensors, Vol 24, Iss 14, p 4635 (2024)

In the field of rice processing and cultivation, it is crucial to adopt efficient, rapid and user-friendly techniques to detect the flavor values of various rice varieties. The conventional methods for flavor value assessment mainly rely on chemical

Externí odkaz: https://doaj.org/article/70afcad58f6d444bb731a654406cc4cd

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Akademický článek

Wear Characterization of Cold-Sprayed HEA Coatings by Means of Active–Passive Thermography and Tribometer

Autor: Raffaella Sesana, Luca Corsaro, Nazanin Sheibanian, Sedat Özbilen, Rocco Lupoi

Publikováno v: Lubricants, Vol 12, Iss 6, p 222 (2024)

The aim of this work is to verify the applicability of thermography as a non-destructive technique to quantify the wear performance of several high-entropy alloy coatings. Thermal profiles obtained from passive and active thermography were analyzed a

Externí odkaz: https://doaj.org/article/e816157c504e4574ad68fa437d928365

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Akademický článek

Convergence criteria analysis for thermal conductance measurements of building walls: A case study

Autor: L. Evangelisti, C. Guattari, E. De Lieto Vollaro, F. Asdrubali

Publikováno v: Case Studies in Thermal Engineering, Vol 49, Iss , Pp 103249- (2023)

The significance of on-site measurements for the thermal characterization of building components is widely recognized. Walls thermal performance can be identified through the widely used Heat-Flow Meter (HFM) method, which has been frequently applied

Externí odkaz: https://doaj.org/article/4a90ee63635547d6bc05499ef62aa9f1

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Akademický článek

Laser Thermography: An Investigation of Test Parameters on Detection and Quantitative Assessment in a Finite Crack

Autor: Giuseppe Danilo Addante, Giuseppe Dell’Avvocato, Francesco Bisceglia, Ester D’Accardi, Davide Palumbo, Umberto Galietti

Publikováno v: Engineering Proceedings, Vol 51, Iss 1, p 7 (2023)

This preliminary study investigates the influence of test parameters on the detection and quantitative assessment of cracks using laser thermography. Cracks pose significant material design and analysis concerns, compromising the structural strength

Externí odkaz: https://doaj.org/article/c46cd9545bf443549bac544fed1e5f0a

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Akademický článek

An Efficient Machine Learning Enabled Non-Destructive Technique for Remote Monitoring of Sugarcane Crop Health

Autor: Ekta Panwar, Anjana Naga Jyothi Kukunuri, Dharmendra Singh, Ashwani Kumar Sharma, Harish Kumar

Publikováno v: IEEE Access, Vol 10, Pp 75956-75970 (2022)

Crop health can be predicted based on various biochemical variables of crops, which include chlorophyll, phenol, carbohydrate, lipid, protein, hydrogen peroxide, and proline as these variables play a critical role in maintaining the intricate phytoch

Externí odkaz: https://doaj.org/article/d3afa519b3a847a995302fc8eeed34e5

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