Acquisition of Skills for Process Planning Through Eye Tracking When Understanding Mechanical Drawings
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Published:2023-03-05
Issue:2
Volume:17
Page:128-135
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ISSN:1883-8022
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Container-title:International Journal of Automation Technology
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language:en
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Short-container-title:IJAT
Author:
Yoshikawa Takumu1, Nakamura Fumihiro1, Sogabe Eisuke2, Nakamoto Keiichi1ORCID
Affiliation:
1. Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei-shi, Tokyo 184-8588, Japan 2. Okuma Corporation, Oguchi, Japan
Abstract
In parts machining, process planning is typically conducted by skillful operators. The quality of machining is highly dependent on process planning, which determines the operation parameters, such as the operation sequence and cutting tool. To achieve high-quality machining without depending on the skill level of the operators, standardization of process planning is desired. Therefore, it is necessary to extract and generalize skills related to process planning. Furthermore, eye tracking technology is expected to visualize unconscious human behavior. In this study, eye tracking technology is adopted to detect the movement of the operator’s eyes and gather gaze data when understanding mechanical drawings. Gaze data are analyzed using a heat map and bubble chart to identify differences in eye movement according to skill level. The analyzed heat maps indicate that the gazes of the skillful operator are gathered because the operator focuses on the area that is strongly related to the quality of machining. The analyzed bubble charts also indicate that the skillful operator considers the machining process by checking annotations, then understands the shape, and finally verifies the numerical values of the annotations. From the results of interviews performed based on the analysis, the individual skill could be effectively extracted in detail, particularly the skill regarding the operation sequence. Furthermore, the acquired skills are incorporated into a computer-aided process planning system developed in a previous study. The operation sequence is modified to reflect the acquired skills. Machining experiments confirmed the effectiveness of adopting operators’ skills in process planning.
Funder
Machine Tool Engineering Foundation
Publisher
Fuji Technology Press Ltd.
Subject
Industrial and Manufacturing Engineering,Mechanical Engineering
Reference21 articles.
1. S. Ibaraki, A. Matsubara, and M. Murozumi, “Efficiency comparison of cutting strategies for end milling processes under feedrate scheduling,” Int. J. Automation Technol., Vol.2, No.5, pp. 377-383, 2008. 2. W. Sakarinto, H. Narazaki, and K. Shirase, “A decision support system for capturing CNC operator knowledge,” Int. J. Automation Technol., Vol.5, No.5, pp. 655-662, 2011. 3. H. Kodama, T. Hirogaki, E. Aoyama, and K. Ogawa, “Investigation of end-milling condition decision methodology based on data mining for tool catalog database,” Int. J. Automation Technol., Vol.6, No.1, pp. 61-74, 2012. 4. S. Kanai, T. Shibata, and T. Kawashima, “Feature-based 3D process planning for MEMS fabrication,” Int. J. Automation Technol., Vol.8, No.3, pp. 406-419, 2014. 5. M. Sugi, I. Matsumura, Y. Tamura, T. Arai, and J. Ota, “Usability analysis of information on worker’s hands in animated assembly manuals,” Int. J. Automation Technol., Vol.12, No.4, pp. 524-532, 2018.
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1. アイトラッキングにより獲得した技能を活用した工程設計;Journal of the Japan Society for Precision Engineering;2023-12-05
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