Redirigiendo al acceso original de articulo en 15 segundos...
Inicio  /  Applied Sciences  /  Vol: 11 Par: 10 (2021)  /  Artículo
ARTÍCULO
TITULO

Capability of Advanced Ultrasonic Inspection Technologies for Hydraulic Turbine Runners

Mohammad Ebrahim Bajgholi    
Gilles Rousseau    
Martin Viens and Denis Thibault    

Resumen

This paper presents the results of a project aimed at evaluating the performance of ultrasonic techniques for detecting flaws in Francis turbine runners. This work is the first phase of a more ambitious program aimed at improving the reliability of inspection of critical areas in turbine runners. Francis runners may be utilized to supply power during peak periods, which means that they experience additional load stress associated with start and stop sequences. Inspection during manufacturing is then of paramount importance to remove as much as feasible all flaw initiation sites before the heat treatment. This phase one objective is to collect initial data on a simplified mock-up and then to compare the experimental ultrasonic data with the results of simulations performed by CIVA, a computer simulation package. The area of interest is the region with the highest stress between the blade and the web. A welded T-joint coupon made of UNS S41500 was manufactured to represent this high-stress area. During the FCAW welding process, ceramic beads were embedded in the weld to create discontinuities whose size is in the critical range to initiate a crack. Inspection of the material was carried out by various nondestructive testing (NDT) methods namely conventional pulse-echo, phased array, total focusing method (TFM). With these results, detection rates were obtained in order to compare the effectiveness of each method.

 Artículos similares

       
 
Mei Wang, Qingshan Mei, Xiyu Song, Xin Liu, Ruixiang Kan, Fangzhi Yao, Junhan Xiong and Hongbing Qiu    
Unsupervised anomalous sound detection by machines holds significant importance within the realm of industrial automation. Currently, the task of machine-based anomalous sound detection in complex industrial settings is faced with issues such as the chal... ver más
Revista: Applied Sciences

 
Aiqing Huo, Xue Jiang and Shuhan Zhang    
A rotary steerable drilling system is an advanced drilling technology, with stabilized platform tool face attitude control being a critical component. Due to a multitude of downhole interference factors, coupled with nonlinearities and uncertainties, cha... ver más
Revista: Applied Sciences

 
Arinc Tutku Altun, Mehmet Hasanzade, Emre Saldiran, Guney Guner, Mevlut Uzun, Rodolphe Fremond, Yiwen Tang, Prithiviraj Bhundoo, Yu Su, Yan Xu, Gokhan Inalhan, Michael W. Hardt, Alejandro Fransoy, Ajay Modha, Jose Antonio Tena, Cesar Nieto, Miguel Vilaplana, Marta Tojal, Victor Gordo, Pablo Menendez and Ana GonzalezaddShow full author listremoveHide full author list    
The emerging field of Advanced Air Mobility (AAM) holds great promise for revolutionizing transportation by enabling the efficient, safe, and sustainable movement of people and goods in urban and regional environments. AAM encompasses a wide range of ele... ver más
Revista: Aerospace

 
Mohamad Abou Ali, Fadi Dornaika and Ignacio Arganda-Carreras    
Artificial intelligence (AI) has emerged as a cutting-edge tool, simultaneously accelerating, securing, and enhancing the diagnosis and treatment of patients. An exemplification of this capability is evident in the analysis of peripheral blood smears (PB... ver más
Revista: Algorithms

 
Minxiao Wang, Ning Yang, Dulaj H. Gunasinghe and Ning Weng    
Utilizing machine learning (ML)-based approaches for network intrusion detection systems (NIDSs) raises valid concerns due to the inherent susceptibility of current ML models to various threats. Of particular concern are two significant threats associate... ver más
Revista: Computers