Details of a Researcher - Kakinuma, Yasuhiro

Kakinuma, Yasuhiro

写真a

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

Position: Professor

Related Websites

http://www.ams.sd.keio.ac.jp/home.html

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
2005.04

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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

-

Present

Associate Professor, Dept. of System Design Engineering, Keio Univ.
2012.09

-

2013.08

Leibniz University Hannover, IFW, Guest Professor

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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 】

Micro/Nano machining
Machine element
Functional fluid/elastomer
Inteligent Machine tool

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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

-

Present
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

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Present
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

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2015
Actively stabilized cutting by band-isolated position-force hybrid control,

2012

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2014
Generation of advanced light-use by extended-nano-scale processing,

2011

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2013

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Papers 【 Display / hide 】

Digital Twin in Process Planning of the Additive and Subtractive Process Chain for Laser Metal Deposition and Micro Milling of Stainless Steel

Denkena B., Wichmann M., Malek T., Nguyen H.N., Kato M., Isshiki K., Koike R., Kakinuma Y.

Journal of Manufacturing Science and Engineering 146 ( 7 ) 2024.07

ISSN 10871357

　View Summary

Additive and subtractive (Add/Sub) manufacturing processes are increasingly being combined to produce complex parts with unique geometries and properties. However, the design of such combined processes is often challenging as it requires a deep understanding of the interaction between the different processes. On the other hand, digital twin (DT) technology has become a powerful tool in recent years for optimizing manufacturing processes. This article explores the use of the digital twin technology for a holistic process planning of combined additive and subtractive processes. The article describes the integration of laser metal deposition (LMD) and micro-milling prediction models of resulting geometry (width and height), hardness, and surface roughness into the digital twin. This is then used for combined process planning to achieve different target values regarding resulting geometry and surface roughness. For the planning of this combined process chain, further criteria such as tool life, energy, and process time are considered in the optimization, showing the potential for sustainable and efficient production. Sensorless cutting force estimation is also used to detect small cutting forces, with the potential to use this as a soft sensor for roughness estimation. The measured width, height, and roughness as a result of the process parameters suggested by the optimization algorithms showed a mean absolute percentage error (MAPE) of 4, 17, and 16%, respectively.
- Access to Document (DOI)
Task Planning Optimization in Assisting Multiple NC Machine Tools Using AMR

Kusashio K., Yakoh T., Kakinuma Y.

Proceedings of the IEEE International Conference on Industrial Technology 2024

ISSN 26410184

　View Summary

Although advanced manufacturing strategies such as Industry 4.0 are becoming popular, many small and medium-sized enterprises (SMEs) are still facing challenges in factory automation. One of the reasons is that factory automation may require significant system updates. A retrofittable system that handle versatile tasks is needed to facilitate easier integration in the manufacturing industry. This paper proposes a system that can assist multiple numerical control (NC) machine tools using an autonomous mobile robots (AMR). The tasks integrated are chip removal inside the NC machine tool's chuck, vibration analysis while the NC machine tool is processing and charging AMR. AMR has to perform these tasks within the production line's strict time constraints and AMR's battery constraint. The proposed system produced a feasible schedule of the tasks. Numerical simulation evaluated the feasibility of the produced schedule. The produced schedule was verified by performing in the real world.
- Access to Document (DOI)
Experimental analysis of chemical removal effect in RISA grinding of optical glass

Shimodo K., Takamaru H., Chiba Y., Kato H., Nagano M., Fukuta M., Tanaka K., Watanabe K., Hamazono K., Kakinuma Y.

Procedia CIRP 123 304 - 309 2024

ISSN 22128271

　View Summary

In the large-aperture lens manufacturing, not only high surface quality but also high productivity is required. From this perspective, Reaction-Induced-Slurry-Assisted grinding (RISA grinding), in which cerium oxide slurry is supplied instead of using general grinding fluid, has been developed to achieve high surface quality at high removal rate. However, the surface profile error becomes large due to chemical removal effect of the cerium oxide slurry. Therefore, the purpose of this study is to experimentally investigate the influence of the chemical removal effect on the surface profile error using AE signals and servo current signals in RISA grinding. First, relation between dwell time and removal depth is analyzed by conducting a basic grinding test without the workpiece rotation. The result shows that the actual removal depth increases with increase of dwell time despite applying the constant depth of cut. Then, zero-cut RISA grinding test is conducted. It is found that the removal process proceeds even though zero-cut grinding, and its removal rate varies according to the wheel feed rate. Furthermore, the amount of cerium oxide abrasives adhered to the grinding wheel can be estimated from the AE signals and servo current signals.
- Access to Document (DOI)
Machine Learning-Based Shape Error Estimation Using the Servomotor Current Generated During Micro-Milling of a Micro-Lens Mold

Mizuhara K., Nakamichi D., Yanagihara W., Kakinuma Y.

International Journal of Automation Technology 17 ( 2 ) 92 - 102 2023.03

ISSN 18817629

　View Summary

The demand for the mass production of micro-lens arrays (MLAs) is increasing. An MLA is fabricated through an injection molding process, and its mold is manufactured by a five-axis high-precision machine tool using a small diameter endmill. A visual exam-ination is not available to judge the quality of the mold while machining. Therefore, an effective process monitoring technology must be developed. A promising approach is to apply a servomotor current to in-process monitoring because as long as the servomotor works well, no external sensors, capital investment, or maintenance processes are required. From this per-spective, a machine learning-based shape error estimation method using only the servomotor current is proposed. To explore the relationship between the motor current generated during micro-milling and the shape error of the mold, the servomotor current in X-, Y-, and Z-axes was recorded, and the corresponding shape error of the MLA mold was measured after ma-chining. Input data were prepared by converting time-domain servomotor current data to frequency-domain data using short-time Fourier transform and reduc-ing the dimensions of the data via principal compo-nent analysis. In terms of a meaningful label for the output data, the average shape error in the machined area corresponding to each window was provided. The input/output relationships were used to train five dif-ferent machine learning models, and the accuracy of shape error estimation using each model was evalu-ated. In addition, the estimation accuracies using the X-, Y-, and Z-axes were compared to find the axis that senses the shape error with the highest accuracy. The results show that the non-linear method using the X-axis servomotor current information closest to the machining point achieved the highest shape error estimation accuracy.
- Access to Document (DOI)
Model-based analysis of temperature-dependent dynamics in CFRP spindle unit

Kato M., Kakinuma Y.

CIRP Annals 72 ( 1 ) 337 - 340 2023.01

ISSN 00078506

　View Summary

The application of CFRP to machine tool structures can potentially improve their dynamic characteristics and energy efficiency owing to its highly specific material properties. The different thermal characteristics of CFRP and steel in spindle units likely induce unique thermal deformation, which affects the bearing dynamics. This research proposes a modeling method of CFRP spindle unit dynamics via generalized multipoint receptance coupling with contact characteristics at the spindle-holder interface. The temperature-dependent mechanical properties are analyzed by parameter identification from the model. The translational stiffness and damping of bearings in the CFRP spindle increase with temperature increase at high rotational speed.
- Access to Document (DOI)

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

Development of crack suppression control technique in ultra-precision grinding of optical materials

Kakinuma, Yasuhiro

科学研究費補助金研究成果報告書 2020
Development of small light source with extended-nano space processing

Kakinuma, Yasuhiro

科学研究費補助金研究成果報告書 2019
Study on energy-saving optical frequency comb source based on an optical microcavity

Kakinuma, Yasuhiro

科学研究費補助金研究成果報告書 2018
Innovative process monitoring by utilizing multi-axis integrated cutting force estimation based on state-fused disturbance observer

Kakinuma, Yasuhiro

科学研究費補助金研究成果報告書 2017
Challenge to highly-efficient ultra-precision machining for next-generation optical element by assisting optical resonance

Kakinuma, Yasuhiro

科学研究費補助金研究成果報告書 2017

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Reviews, Commentaries, etc. 【 Display / hide 】

Special Issue on Self-Optimizing Machining Systems

Kakinuma Y., Kono D.

International Journal of Automation Technology 16 ( 2 ) 2022.03

ISSN 18817629
- Access to Document (DOI)

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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

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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

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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

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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

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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
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.
砥粒加工学会奨励賞

KAKINUMA YASUHIRO, 2011.09, 砥粒加工学会, センサレス力制御を応用した低弾性樹脂材の定圧研磨加工

Type of Award： Award from Japanese society, conference, symposium, etc.
Best Paper Award

KAKINUMA YASUHIRO, 2010.10, The 14th International Conference on Mechatronics Technology, Hybrid Control for Machine Tool Table applying Sensor-less Cutting Force Monitoring

Type of Award： International academic award (Japan or overseas)