Kakinuma, Yasuhiro

写真a

Affiliation

Faculty of Science and Technology, Department of System Design Engineering (Yagami)

Position

Professor

Related Websites

External Links
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Career 【 Display / hide 】

  • 2004.04
    -
    2005.03

    21世紀COEプログラム 「知能化から生命化へのシステムデザイン」RA

  • 2004.04
    -
    2005.03

    21世紀COEプログラム 「知能化から生命化へのシステムデザイン」RA

  • 2005.04
    -
    2008.03

    Research Assosiate, Dept. of System Design Engineering, Keio University.

  • 2008.04
    -
    2010.03

    Assistant Professor, Dept. of System Design Engineering, Keio Univ.

  • 2010.04
    -
    2019.03

    Associate Professor, Dept. of System Design Engineering, Keio Univ.

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Academic Background 【 Display / hide 】

  • 2002.03

    Keio University, Faculty of Science and Engineering, Dept. of System Design Engineering

    University, Graduated

  • 2004.03

    Keio University, Graduate School, Division of Science and Engineering, School of Integrated Design Engineering

    Graduate School, Completed, Master's course

  • 2006.03

    Keio University, Graduate School, Division of Science and Engineering, School of Integrated Design Engineering

    Graduate School, Completed, Doctoral course

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Academic Degrees 【 Display / hide 】

  • Ph.D., Keio University, Coursework, 2006.03

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Research Areas 【 Display / hide 】

  • Manufacturing Technology (Mechanical Engineering, Electrical and Electronic Engineering, Chemical Engineering) / Manufacturing and production engineering (Production Engineering/Processing Studies)

  • Manufacturing Technology (Mechanical Engineering, Electrical and Electronic Engineering, Chemical Engineering) / Design engineering (Design Engineering, Machine Functional Elements/Tribology)

  • Manufacturing Technology (Mechanical Engineering, Electrical and Electronic Engineering, Chemical Engineering) / Machine elements and tribology (Design Engineering, Machine Functional Elements/Tribology)

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Research Keywords 【 Display / hide 】

  • Process monitoring / Process control

  • Applicaion of robot

  • Inteligent Machine tool

  • Ultra-precision machining

  • Metal additive manufacturing

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Research Themes 【 Display / hide 】

  • 状態融合外乱オブザーバを応用した軸統合型広帯域加工力推定による革新的プロセス監視, 

    2015.04
    -
    2018.03

  • マルチタレット型複合加工機による複雑形状の簡易・確実・高精度な知的加工システムの研究開発, 

    2014.10
    -
    2018.03

  • 電気粘着効果を発現する機能性表面の開発と極限環境保持機構への応用, 

    2012
    -
    2015

  • Actively stabilized cutting by band-isolated position-force hybrid control, 

    2012
    -
    2014

  • Generation of advanced light-use by extended-nano-scale processing, 

    2011
    -
    2013

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Papers 【 Display / hide 】

  • Acquired Angle Error Correction Based on Variation of an Angle Detection Signal Intensity in Rotary Encoders

    Sato A., Kakinuma Y.

    Journal of Manufacturing Science and Engineering 147 ( 1 )  2025.01

    ISSN  10871357

    　View Summary

    Rotary encoders are used in various machines to measure the angular position of a rotating axis. Therefore, rotary encoders are required not only to be highly accurate, but also usable in various environments. When using a rotary encoder on a machine, acquired angle errors occur due to the eccentricity between the encoder and the machine, the deformation of the scale, and the shaft runout of the rotation axis. Various methods have been adopted to reduce such angle errors. However, these methods have problems such as the large size and high cost of the encoder, the necessity of additional devices for measuring, and increasing installation labor, so the environment in which they can be implemented is limited. In this study, we have proposed a method to correct the acquired angle errors based on variation of an angle detection signal intensity in the sensor head. This method can correct the errors on the machine without using multiple sensor heads or additional devices. The angle error estimated by this method is compared with that measured by the external equipment of a reference encoder. While the maximum angle error was 28.36″ without correction, the residual error with correction of the acquired error can be reduced to 1.75″ or less. From this result, the proposed method can improve the measurement accuracy of the rotary encoder already installed on the machine. Therefore, this method is an effective means for achieving both high rotational accuracy on machines and ease of correcting an error in rotary encoder machines.

  • Thermal modeling techniques designed for high-speed directed energy deposition coatings

    TAKEMURA Shiho, MIYATA Yuichiro, HIRONO Yoko, KAKINUMA Yasuhiro

    Journal of Advanced Mechanical Design, Systems, and Manufacturing (The Japan Society of Mechanical Engineers)  19 ( 1 ) JAMDSM0012 - JAMDSM0012 2025

    ISSN  1881-3054

    　View Summary

    <p>High-speed directed energy deposition (DED) offers advantages such as efficiency, thin coating layers, and reduced heat-affected zones, making it ideal for repairs and coating on existing parts across various industries. In the DED process, various deposition parameters are included and affect the thermal history. Moreover, a thermal history significantly affects the deposit's mechanical properties by varying metallographic structure. Therefore, thermal simulations of DED are highly demanded due to the time and cost challenges associated with experimenting across different process parameters. However, thermal simulations of DED have difficulties because of the process by which material and heat source are supplied from time to time to the melt pool. Many studies have been conducted on thermal simulations of DED, however, few studies focus on high-speed DED coating. Therefore, this research develops the thermal simulation techniques for high-speed DED coating by exploring five simple methods for element addition and heat input. The geometry of the workpiece model was simplified to reduce the simulation cost. Using the Ansys Parametric Design Language (APDL) software and the simplified workpiece model, we conducted thermal simulations and validated them against experimental data acquired from high-speed imaging and two-color temperature measurements. Through these methods, the study proposed the temperature comparison method of experiment and simulation results and identified the suitable method for element addition and heat input in high-speed DED coating that closely replicates the actual temperature within the coating layer. This method reduces the need for finer mesh, effectively lowering computational costs while maintaining accuracy. The findings provide insights into practical simulation practices for DED and contribute to enhancing parameter validation in additive manufacturing simulations, supporting further development in high-speed DED coating technology.</p>

  • Entangled chip removal utilizing mass-spring model with mobile manipulator

    Takahashi R., Kimura H., Kakinuma Y.

    CIRP Annals  2025

    ISSN  00078506

    　View Summary

    This study aims to automate the removal of entangled chips in manufacturing environments using a mobile manipulator. Despite advancements in factory automation technology, this task often necessitates manual intervention. Accordingly, this study proposes a deformable chip model (based on a reconfigurable mass-spring system per frame), incorporating visual chip tracking data and force reactions. Consequently, to evaluate the removal state, an efficient removal strategy is derived by defining the instantaneous stiffness and energy absorption rate. Validation of system performance through two removal tests demonstrates the feasibility of automating entangled chip removal, contributing to enhanced operational efficiency in fully automated production lines.

  • AI-based sensor layout for predicting thermal deformations of CFRP machine tools

    Finkeldey F., Kato M., Wiederkehr P., Kakinuma Y.

    CIRP Annals  2025

    ISSN  00078506

    　View Summary

    Using data-based approaches, accurate predictions of thermal deformations, which can significantly affect the quality of manufactured components, can be enabled. However, a sufficient amount of data with maximised information content is necessary for efficient training. In this paper, an approach for optimising sensor configurations for predicting thermal deformations is presented. From initially 300 temperature sensors, the number of required sensors was significantly reduced while maintaining predictive accuracy. Furthermore, a pattern for sensor placement was identified, providing the potential for an efficient sensor layout that enables cost-effective data acquisition and improved monitoring of machining and wear progression of machine tool components.

  • Process-state visualization map in grinding ceramic

    Ichikawa Mari, Nakayama Seiji, Hosokawa Hirofumi, Kakinuma Yasuhiro

    Proceedings of JSPE Semestrial Meeting (The Japan Society for Precision Engineering)  2024A ( 0 ) 674 - 675 2024.08

    　View Summary

    <p>セラミックスの研削加工において，センサを用いて加工面に生じる異常を実時間検知できれば，不良品の早期発見やプロセス改善につなげることができる．本研究では，センサデータの解析手法として，加工状態可視化マップを提案した．センサデータを加工位置に対してマッピングすることで，工作物表面への影響を視覚的に捉える手法である．可視化マップと工作物の表面プロファイルの関係を調べ，その有効性を確認した．</p>

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Papers, etc., Registered in KOARA 【 Display / hide 】

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Reviews, Commentaries, etc. 【 Display / hide 】

  • Special Issue: The State-of-the-Art in Japanese Manufacturing Research

    Kakinuma Y., Matsubara A., Matsumura T., Sugita N., Suzuki N., Takahashi S., Yan J.

    Journal of Manufacturing Science and Engineering 147 ( 1 )  2025.01

    ISSN  10871357

  • Special Issue on Self-Optimizing Machining Systems

    Kakinuma Yasuhiro, Kono Daisuke

    International Journal of Automation Technology (Fuji Technology Press Ltd.)  16 ( 2 ) 125 - 125 2022.03

    ISSN  18817629

    　View Summary

    <p>The concept of Self-Optimizing Machining Systems (SOMS) has been proposed against the background of Industry 4.0 and the Digital Twin concept, based on cyber-physical systems. In order to improve manufacturing productivity, quality, and efficiency, each component technology related to the machining process, such as CAD/CAM, process modeling/simulation, process monitoring/control, and workpiece assessment, as well as the machine tools themselves, has been developed independently to date. However, series of processes, including the interactions among these component technologies, have finally determined the machining performance and the quality of the products. SOMS deals with the information links among these components comprehensively and plays the important role of combining these links and functionalities to optimize the overall machining system. Nevertheless, an intensive implementation and combination of these technologies has yet to become state-of-the-art in industry, while further research and development for SOMS is required for Industry 4.0 and Digital Twin.</p><p>This special issue focuses on the research trends of SOMS, especially the interaction links among machine tools, process monitoring, and work assessment. From researchers who are active on the front lines of manufacturing engineering, the latest achievements related to the development of SOMS are presented in 6 papers. On one hand, the development of sensor-integrated components is indispensable for SOMS to monitor the status of a process and feed it back to a related component in order to control the machining process and its environment. On the other hand, it can be said that visual simulation, virtual metrology, and other epoch-making, on-machine technologies for evaluating machined surfaces, as well as process optimization based on machined surface information, are strongly required.</p><p>We hope this special issue will contribute to future research and development for researchers and engineers in the field of manufacturing and machining systems.</p>

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Presentations 【 Display / hide 】

  • Sensor-less chatter vibration monitoring by mechanical power factor

    T. Hirano, Y. Yamada, Y. Kakinuma

    The 8th International Conference on Leading Edge Manufacturing in 21st Century, 

    2015.10
    , 

    Oral presentation (general)

  • Sensorless cutting force estimation in large scale ball-screw-driven machine tool

    Y. Yamada, Y. Kakinuma, T. Ito, J. Fujita , A. Tada, M. Sagara

    ISAAT2015, 

    2015.10
    , 

    Oral presentation (general)

  • Identification of stable spindle rotation in milling with disturbance observer

    R. Koike, Y. Kakinuma, T. Aoyama, K. Ohnishi

    38th International MATADOR Conference, 

    2015.03
    , 

    Oral presentation (general)

  • Helical milling of carbon fiber reinforced plastics using ultrasonic vibration and liquid nitrogen

    T. Ishida; K. Noma; Y. Kakinuma; T. Aoyama; S. Hamada; H. Ogawa; T. Higaino

    New production technologies in aerospace industry - 5th machining innovations conference (MIC 2014), Procedia CIRP, 

    2014.11
    , 

    Oral presentation (general)

  • Tool collision detection in high-speed feeding based on disturbance observer

    Ryo Koike; Yasuhiro Kakinuma; Tojiro Aoyama; Kouhei Ohnishi

    Procedia CIRP, 

    2014.06
    , 

    Oral presentation (general)

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Research Projects of Competitive Funds, etc. 【 Display / hide 】

  • 化学反応誘起スラリー援用研削におけるCeO2粒子付着の安定化と形状制御

    2023.04
    -
    2026.03

    基盤研究(B), Principal investigator

  • 光学材料の超精密研削におけるクラック抑制サーボ制御手法の開発

    2018.04
    -
    2021.03

    MEXT,JSPS, Grant-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (B), Principal investigator

  • 光共振援用による次世代光学素子の高能率超精密加工への挑戦

    2016.04
    -
    2018.03

    MEXT,JSPS, Grant-in-Aid for Scientific Research, Grant-in-Aid for Challenging Exploratory Research, Principal investigator

  • 状態融合外乱オブザーバを応用した軸統合型広帯域加工力推定による革新的プロセス監視

    2015.04
    -
    Present

    日本学術振興会, Grant-in-Aid for Scientific Research, Research grant, No Setting

  • 新構造材料適用省エネ型工作機機械の研究開発

    2015.04
    -
    2016.03

    新エネルギー・産業技術総合開発機構, 戦略的省エネルギー技術革新プログラム（インキュベーション研究開発）, Commissioned ｒesearch, Coinvestigator(s)

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Works 【 Display / hide 】

  • システムデザイン工学的思考に立脚した次世代先進加工システムを目指して

    KAKINUMA YASUHIRO

    2011.01
    -
    Present
    , 

    Other, Single

  • 真空下での高速基板搬送を目的とした電気粘着保持機構の開発

    KAKINUMA YASUHIRO

    2011.01
    -
    Present
    , 

    Other

  • 粘弾性材料の極低温マイクロマシニング

    KAKINUMA YASUHIRO

    2010.10
    -
    Present
    , 

    Other, Single

  • 電気で粘着性が変化する新素材“ERゲル”とその応用デバイス

    KAKINUMA YASUHIRO

    2010.03
    -
    Present
    , 

    Other, Single

  • 工作機械用リニアモータ駆動テーブルの仮想モータ制御

    KAKINUMA YASUHIRO

    2007.07
    -
    Present
    , 

    Other, Single

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Intellectual Property Rights, etc. 【 Display / hide 】

  • 加工力監視システム及びそれを用いた工作機械

    Date applied： 2009-122644  2009.05 

    Patent

  • マイクロ加工方法，及びそのための装置

    Date applied： 2008-121709  2008.05 

    Patent, Joint

  • 電気レオロジーゲル及びそのシート

    Date applied：   2004.03 

    Date announced： 2005-255701   

    Date issued： 2004-65019 

    Patent

  • 研磨材，研磨工具，研磨装置，研磨材の製造方法，研磨工具製造方法及び研磨方法

    Date applied： 2000-108581   

    Date announced： 2006-281424   

    Patent

  • テーブル装置及びその制御方法

    Date applied： 2005-9472   

    Date announced： 2006-195919   

    Patent

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Awards 【 Display / hide 】

  • 文科省若手科学者賞

    2014.04, 文部科学省, 電気粘着エラストマの開発と精密機械の機能化に関する研究

  • 文科省若手科学者賞

    2014.04, 文部科学省, 電気粘着エラストマの開発と精密機械の機能化に関する研究

  • 日本学術会議会長賞

    KAKINUMA YASUHIRO, 2012.09, 日本学術会議, “外乱オブザーバ応用技術の開発”による

    Type of Award： Other

  • 日本学術会議会長賞

    KAKINUMA YASUHIRO, 2012.09, 日本学術会議, “外乱オブザーバ応用技術の開発”による

    Type of Award： Other

  • Commendation for best research paper

    KAKINUMA YASUHIRO, 2012.05, マザック財団, “Detection of Chatter Vibration in End Milling applying Disturbance Observer”, CIRP Annals-Manufacturing Technology, Vol. 60, No.1, (2011)109-112”

    Type of Award： Award from publisher, newspaper, foundation, etc.

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Courses Taught 【 Display / hide 】

  • SEMINAR IN SYSTEM DESIGN ENGINEERING

    2025

  • MANUFACTURING ANALYSIS

    2025

  • LABORATORIES IN SCIENCE AND TECHNOLOGY

    2025

  • INTRODUCTION TO INTERDISCIPLINARY SCIENCE AND TECHNOLOGY

    2025

  • INSTRUCTION COURSE OF SYSTEM DESIGN ENGINEERING

    2025

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Courses Previously Taught 【 Display / hide 】

  • EXERCISE ON SYSTEM DESIGN ENGINEERING

    Keio University

    2025.04
    -
    2026.03

  • SEMINAR IN SYSTEM DESIGN ENGINEERING

    Keio University

    2025.04
    -
    2026.03

  • INSTRUCTION COURSE OF SYSTEM DESIGN ENGINEERING

    Keio University

    2025.04
    -
    2026.03

  • EXERCISE ON SYSTEM DESIGN ENGINEERING

    Keio University

    2024.04
    -
    2025.03

  • INSTRUCTION COURSE OF SYSTEM DESIGN ENGINEERING

    Keio University

    2024.04
    -
    2025.03

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Memberships in Academic Societies 【 Display / hide 】

  • CIRP Associate member, 

    2013.01
    -
    Present

  • ICPE2012 Program Committee, 

    2011.04
    -
    2012.11

  • 日本機械学会RC249「多軸多機能工作機械の先進化技術に関する研究分科会」, 

    2010.04
    -
    2012.03

  • 日本機械学会誌第88期トピックス委員会, 

    2010.04
    -
    2012.03

  • 日本機械学会生産加工・工作機械部門, 

    2010.04
    -
    Present

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Committee Experiences 【 Display / hide 】

  • 2013.01
    -
    2015.01

    Secretary, CIRP Research Affiliate

  • 2011.04
    -
    2012.11

    Committee Member, ICPE2012　Program Committee

  • 2010.04
    -
    2012.03

    Committee Member, 日本機械学会RC249「多軸多機能工作機械の先進化技術に関する研究分科会」

  • 2010.04
    -
    2012.03

    Committee Member, 日本機械学会誌第88期トピックス委員会

  • 2010.04
    -
    2023.03

    Chair of the First Planning Committee, Manufacturing and Machine Tool Division, The Japan Society of Mechanical Engineers (JSME)

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