Nanoindentation as a strength probe - a study on the hardness dependence of indent size for fine-grained and coarse-grained ferritic steel

被引:26
|
作者
Miyahara, K [1 ]
Matsuoka, S
Hayashi, T
机构
[1] Natl Res Inst Met, Strength & Life Evaluat Res Stn, Tsukuba, Ibaraki 3050047, Japan
[2] Kawasaki Steel Corp, Okayama 7128511, Japan
关键词
D O I
10.1007/s11661-001-0091-0
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
A nanoindentation hardness testing system, including an atomic-force microscope (AFM)-based nanoindentation tester and a calibration method using electrolytically polished single-crystal metals as references, was proposed. This was applied to a study of the mechanical properties of fine-grained ferritic steel (grain size of 1.2 mum) and coarse-grained ferritic steel (30 mum). An empirical function giving the macroscopic hardness for all four reference metals from the nanoindentation force curves was established. The converted Vickers hardness (HV*) of the coarse-grained steel is almost independent of the indent size. The fine-grained steel shows only HV* 130 with an indent of only 100 nm, compared with a macroscopic hardness of HV 210. The difference, HV 80, is considered to reflect the amount of grain-boundary strengthening. The critical indent size for the hardness transition seems to be around 1 mum, comparable to the grain size of the specimen. This result supports the explanation of grain-boundary strengthening. It is also consistent with Pickering's work on low-carbon steel, as the estimated locking parameter (k of 2.6 X 10(5) N/m(3/2)) in the Hall-Fetch relationship is in good agreement with his value of 2.4 X 10(5) N/m(3/2).
引用
收藏
页码:761 / 768
页数:8
相关论文
共 50 条
  • [31] EMScore: Evaluating Video Captioning via Coarse-Grained and Fine-Grained Embedding Matching
    Shi, Yaya
    Yang, Xu
    Xu, Haiyang
    Yuan, Chunfeng
    Li, Bing
    Hu, Weiming
    Zha, Zheng-Jun
    2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2022), 2022, : 17908 - 17917
  • [32] Predicting the Sensitivity of Multiscale Coarse-Grained Models to their Underlying Fine-Grained Model Parameters
    Wagner, Jacob W.
    Dama, James F.
    Voth, Gregory A.
    JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2015, 11 (08) : 3547 - 3560
  • [33] Mixing coarse-grained and fine-grained water in molecular dynamics simulations of a single system
    Riniker, Sereina
    van Gunsteren, Wilfred F.
    JOURNAL OF CHEMICAL PHYSICS, 2012, 137 (04):
  • [34] Fine-Grained vs. Coarse-Grained Shift-and-Add Arithmetic in FPGAs
    Lamoureux, Julien
    Miller, Scott
    Sima, Mihai
    FPGA 10, 2010, : 290 - 290
  • [35] Coarse-grained decomposition and fine-grained interaction for multi-hop question answering
    Xing Cao
    Yun Liu
    Journal of Intelligent Information Systems, 2022, 58 : 21 - 41
  • [36] Fine-grained Activities Recognition with Coarse-grained Labeled Multi-modal Data
    Hu, Zhizhang
    Yu, Tong
    Zhang, Yue
    Pan, Shijia
    UBICOMP/ISWC '20 ADJUNCT: PROCEEDINGS OF THE 2020 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING AND PROCEEDINGS OF THE 2020 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS, 2020, : 644 - 649
  • [37] Coarse-grained and fine-grained turbidite systems as end member models: applicability and dangers
    Bouma, AH
    MARINE AND PETROLEUM GEOLOGY, 2000, 17 (02) : 137 - 143
  • [38] A fine-grained/coarse-grained heterogeneous reconfigurable DSP architecture based on parallel processing
    Yang, Y
    Mao, ZG
    Lai, FC
    PROCEEDINGS OF THE SECOND INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION SCIENCE AND TECHNOLOGY, VOL 3, 2002, : 558 - 562
  • [39] SCALING DNN-BASED VIDEO ANALYSIS BY COARSE-GRAINED AND FINE-GRAINED PARALLELISM
    Sinthong, Phanwadee
    Mahadik, Kanak
    Sarkhel, Somdeb
    Mitra, Saayan
    2020 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME), 2020,
  • [40] Coarse-grained decomposition and fine-grained interaction for multi-hop question answering
    Cao, Xing
    Liu, Yun
    JOURNAL OF INTELLIGENT INFORMATION SYSTEMS, 2022, 58 (01) : 21 - 41