Development of Oil Behavior Visualization Technology using X-Ray Computed Tomography

Author:

Tanaka Daisuke1,Fujieda Hiroki1,Ute Junji1,Uchida Mitsunobu1,Matsuo Takeo2,Tanase Masataka2,Hiura Yuki2

Affiliation:

1. SOKEN, INC.

2. TOYOTA MOTOR CORPORATION

Abstract

<div class="section abstract"><div class="htmlview paragraph">Recently, it has become possible to dynamically observe the internal oil behavior using a medical X-ray computed tomography (CT) system, which can capture internal images without disassembling the object being evaluated. The problem in applying the CT method to lubrication analysis is the artifact, like noise, which occurs during dynamic observation. In this paper, we developed a method to reduce this artifact with machine learning by generating artifacts through simulation and using them as supervised data.</div></div>

Publisher

Society of Automotive Engineers of Japan

Reference9 articles.

1. T. Matsuo et al. Development of oil behavior visualization technology using X-ray CT and confirmation of the effectiveness of particle method CFD JSAE Proceedings of the Conference 2022 1 5

2. M. Tanase et al. Development of visualization technology for transmission oil behavior using X-ray computed tomography JSME Proceedings of the Conference 2022

3. K. Ichikawa , and Y. Muramatsu ‘Standard X-ray CT Imaging and Measurement Revised 2nd Edition Ohmsha, Ltd. 2018

4. H. Shinohara et al. Implementation of analytical image reconstruction methods in Excel Journal of Japan Academy of Health Sciences 8 4 2006 263

5. K. Tsujioka Artifact: Instrumentation engineering of X-ray CT systems (5) Journal of Japanese Society of Radiological Technology 58 6 2002 739

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3