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基于磁巴克豪森噪声分析的磨削烧伤检测,与感应淬火深度无关。

Grinding Burn Detection via Magnetic Barkhausen Noise Analysis Independently of Induction Hardened Depth.

作者信息

Gurruchaga Kizkitza, Lasaosa Aitor, Artetxe Itsaso, Martínez-de-Guerenu Ane

机构信息

CEIT-Basque Research and Technology Alliance (BRTA), Manuel Lardizabal 15, 20018 Donostia/San Sebastián, Spain.

Department of Electrical and Electronic Engineering, Universidad de Navarra, Tecnun, Manuel Lardizabal 13, 20018 Donostia/San Sebastián, Spain.

出版信息

Materials (Basel). 2023 Mar 6;16(5):2127. doi: 10.3390/ma16052127.

Abstract

The electromagnetic technique based on magnetic Barkhausen noise (MBN) can be used to control the quality of ball screw shafts non-destructively, although identifying any slight grinding burns independently of induction-hardened depth remains a challenge. The capacity to detect slight grinding burns was studied using a set of ball screw shafts manufactured by means of different induction hardening treatments and different grinding conditions (some of them under abnormal conditions for the purpose of generating grinding burns), and MBN measurements were taken in the whole group of ball screw shafts. Additionally, some of them were tested using two different MBN systems in order to better understand the effect of the slight grinding burns, while Vickers microhardness and nanohardness measurements were taken in selected samples. To detect the grinding burns (both slight anddata intense) with varying depths of the hardened layer, a multiparametric analysis of the MBN signal is proposed using the main parameters of the MBN two-peak envelope. At first, the samples are classified into groups depending on their hardened layer depth, estimated using the intensity of the magnetic field measured on the first peak (H1) parameter, and the threshold functions of two parameters (the minimum amplitude between the peaks of the MBN envelope (MIN) and the amplitude of the second peak (P2)) are then determined to detect the slight grinding burns for the different groups.

摘要

基于磁巴克豪森噪声(MBN)的电磁技术可用于无损控制滚珠丝杠轴的质量,不过,独立于感应淬火深度识别任何轻微的磨削烧伤仍是一项挑战。利用一组通过不同感应淬火处理和不同磨削条件制造的滚珠丝杠轴(其中一些处于异常条件下以产生磨削烧伤)研究了检测轻微磨削烧伤的能力,并对整个滚珠丝杠轴组进行了MBN测量。此外,为了更好地理解轻微磨削烧伤的影响,对其中一些轴使用了两种不同的MBN系统进行测试,同时对选定样本进行了维氏显微硬度和纳米硬度测量。为了检测具有不同硬化层深度的磨削烧伤(包括轻微和严重的),提出了一种使用MBN双峰包络线主要参数对MBN信号进行多参数分析的方法。首先,根据在第一个峰值(H1)参数上测量的磁场强度估计样本的硬化层深度,将样本分组,然后确定两个参数的阈值函数(MBN包络线峰值之间的最小幅度(MIN)和第二个峰值的幅度(P2)),以检测不同组中的轻微磨削烧伤。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4043/10004644/5680e318aa9d/materials-16-02127-g001.jpg

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