离散小波变换方法在搅拌摩擦焊接接头表面缺陷检测中的应用

Q4 Engineering Fatigue of Aircraft Structures Pub Date : 2020-12-01 DOI:10.2478/fas-2020-0003

Akshansh Mishra

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引用次数: 3

摘要

摘要搅拌摩擦焊接头的质量取决于输入参数，如刀具转速、刀具横向速度、刀具倾斜角和轴向力。当未正确选择这些输入参数时，会形成表面缺陷。最近的论文的主要目的是通过使用Python编程开发离散小波变换算法，并将其进一步应用于搅拌摩擦焊样品，以识别存在的各种外表面缺陷。

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Discrete Wavelet Transformation Approach for Surface Defects Detection in Friction Stir Welded Joints

Abstract Friction Stir Welding joint quality depends on input parameters such as tool rotational speed, tool traverse speed, tool tilt angle and an axial force. Surface defects formation occurs when these input parameters are not selected properly. The main objective of the recent paper is to develop Discrete Wavelet Transform algorithm by using Python programming and further subject it to the Friction Stir Welded samples for the identification of various external surface defects present.

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来源期刊

Fatigue of Aircraft Structures Engineering-Safety, Risk, Reliability and Quality

CiteScore

0.40

自引率

0.00%

发文量

期刊介绍： The publication focuses on problems of aeronautical fatigue and structural integrity. The preferred topics include: full-scale fatigue testing of aircraft and aircraft structural components, fatigue of materials and structures, advanced materials and innovative structural concepts, damage tolerant design of aircraft structure, life extension and management of ageing fleets, structural health monitoring and loads, fatigue crack growth and life prediction methods, NDT inspections, airworthiness considerations.