Software Optimization for Electrical Conductivity Imaging in Polycrystalline Diamond Cutters

被引：0
|
作者：
Bogdanov, G. [1 ]
Wiggins, J. [2 ]
Bertagnolli, K. [2 ]
Ludwig, R. [1 ]
机构：
[1] Worcester Polytech Inst, Dept Elect & Comp Engn, 100 Inst Rd, Worcester, MA 01609 USA
[2] US Synthet, Orem, UT 84058 USA
来源：
40TH ANNUAL REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION: INCORPORATING THE 10TH INTERNATIONAL CONFERENCE ON BARKHAUSEN NOISE AND MICROMAGNETIC TESTING, VOLS 33A & 33B | 2014年 / 1581卷
关键词：
Polycrystalline Diamond; Electrical Impedance Tomography; GPU; SPARSE; ALGORITHM;
D O I：
10.1063/1.4865071
中图分类号：
O59 [应用物理学];
学科分类号：
摘要：
We previously reported on an electrical conductivity imaging instrument developed for measurements on polycrystalline diamond cutters. These cylindrical cutters for oil and gas drilling feature a thick polycrystalline diamond layer on a tungsten carbide substrate. The instrument uses electrical impedance tomography to profile the conductivity in the diamond table. Conductivity images must be acquired quickly, on the order of 5 sec per cutter, to be useful in the manufacturing process. This paper reports on successful efforts to optimize the conductivity reconstruction routine, porting major portions of it to NVIDIA GPUs, including a custom CUDA kernel for Jacobian computation.
引用
收藏
页码：2015 / 2022
页数：8
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