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

被引:2
作者
Gurruchaga, Kizkitza [1 ,2 ]
Lasaosa, Aitor [1 ,2 ]
Artetxe, Itsaso [1 ,2 ]
Martinez-de-Guerenu, Ane [1 ,2 ]
机构
[1] CEIT Basque Res & Technol Alliance BRTA, Manuel Lardizabal 15, San Sebastian 20018, Spain
[2] Univ Navarra, Dept Elect & Elect Engn, Tecnun, Manuel Lardizabal 13, San Sebastian 20018, Spain
关键词
magnetic Barkhausen noise; grinding burn; induction hardened layer; hardened layer depth; excitation frequency; RESIDUAL-STRESSES; EMISSION;
D O I
10.3390/ma16052127
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
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.
引用
收藏
页数:14
相关论文
共 22 条
[11]   Quantitative estimation of nonmonotonic residual stress depth-profiles using an extended Kypris-Jiles model of the magnetic Barkhausen noise spectrum [J].
Lasaosa, Aitor ;
Gurruchaga, Kizkitza ;
Arizti, Fernando ;
Martinez-de-Guerenu, Ane .
JOURNAL OF APPLIED PHYSICS, 2018, 123 (03)
[12]   Induction Hardened Layer Characterization and Grinding Burn Detection by Magnetic Barkhausen Noise Analysis [J].
Lasaosa, Aitor ;
Gurruchaga, Kizkitza ;
Arizti, Fernando ;
Martinez-De-Guerenu, Ane .
JOURNAL OF NONDESTRUCTIVE EVALUATION, 2017, 36 (02)
[13]   Magnetic Barkhausen emission measurements for evaluation of material properties in gears [J].
Moorthy, V. ;
Shaw, B. A. .
NONDESTRUCTIVE TESTING AND EVALUATION, 2008, 23 (04) :317-347
[14]   Evaluation of applied and residual stresses in case-carburised En36 steel subjected to bending using the magnetic Barkhausen emission technique [J].
Moorthy, V ;
Shaw, BA ;
Day, S .
ACTA MATERIALIA, 2004, 52 (07) :1927-1936
[15]   Indentation size effects in crystalline materials: A law for strain gradient plasticity [J].
Nix, WD ;
Gao, HJ .
JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS, 1998, 46 (03) :411-425
[16]   AN IMPROVED TECHNIQUE FOR DETERMINING HARDNESS AND ELASTIC-MODULUS USING LOAD AND DISPLACEMENT SENSING INDENTATION EXPERIMENTS [J].
OLIVER, WC ;
PHARR, GM .
JOURNAL OF MATERIALS RESEARCH, 1992, 7 (06) :1564-1583
[17]   Evaluation of Ferromagnetic Steel Hardness Based on an Analysis of the Barkhausen Noise Number of Events [J].
Roskosz, Maciej ;
Fryczowski, Krzysztof ;
Schabowicz, Krzysztof .
MATERIALS, 2020, 13 (09)
[18]  
Sackmann Daniel, 2020, Procedia CIRP, V87, P415, DOI [10.1016/j.procir.2020.02.076, 10.1016/j.procir.2020.02.076]
[19]  
Saquet O., 1998, Nondestr Test Evaluation, V14, P277, DOI DOI 10.1080/10589759808953055
[20]   Measurement and correction of residual stress gradients in aeronautical gears after various induction surface hardening treatments [J].
Savaria, Vincent ;
Monajati, Hossein ;
Bridier, Florent ;
Bocher, Philippe .
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2015, 220 :113-123