Papers - Aoyama, Hideki

Automatic On-Machine Identification of Cutting Tool Setting Parameters Using Vision and Displacement Sensor

Achmad Rifai, Ryo Fukuda, Hideki Aoyama

Proceedings of 17th International Conference on Precision Engineering(ICPE2018）    7 pages（USB) 2018.11

Research paper (international conference proceedings), Joint Work, Accepted

Basic Development of Three Dimensional Encoder for Highly-accurate Positioning

hideaki tamiya, yoshiyuki mitera, kayoko taniguchi, hideki aoyama, kazuo yamazaki

Proceedings of 17th International Conference on Precision Engineering(ICPE2018）    5 pagesn（USB) 2018.11

Research paper (international conference proceedings), Joint Work, Accepted

Productivity Improvement of Smart Factory by Innovative IoT Platform

Masako SUDO and Hideki AOYAMA

Proceedings of 17th International Conference on Precision Engineering(ICPE2018）    5 pagesn（USB) 2018.11

Research paper (international conference proceedings), Joint Work, Accepted

Recognition of Real Trajectory of Cutting Tool Motion Based on Identification of Acceleration and Deceleration in Machine Tool Control

Tomoya Noguchi and Hideki Aoyama

Proceedings of the 2018 Asian Conference on Design and Digital Engineering(ACDDE2018)    10 pages（USB) 2018.11

Research paper (international conference proceedings), Joint Work, Accepted

Automatic Database Construction and Utilization Method of Machining Know-How

Ryo Fukuda and Hideki Aoyama

Proceedings of the 2018 Asian Conference on Design and Digital Engineering(ACDDE2018)    10 pages（USB) 2018.11

Research paper (international conference proceedings), Joint Work, Accepted

Development of a simulation method of three-dimensional ultrafine processing by femtosecond laser

ShunsukeNabetani, Hideki Aoyama,Masahiro Ueda,Yoshinori Ogawa,Kazuo Yamazaki

Proceedings of the 21st International Symposium on Advances in Abrasive Technology(ISAAT2018)    6 pages(USB) 2018.10

Research paper (international conference proceedings), Joint Work, Accepted

Development of design system for crack patterns on cup surface based on KANSEI

Mai Misaka, Hideki Aoyama

Journal of Computational Design and Engineering Volum 5 ( Issue 4 ) Pages 435-441 2018.10

Research paper (scientific journal), Joint Work, Accepted

Analysis of tool deflection errors in precision CNC end milling of aerospace Aluminum 6061-T6 alloy

Nghiep T., Sarhan A., Aoyama H.

Measurement: Journal of the International Measurement Confederation (Measurement: Journal of the International Measurement Confederation)  125   476 - 495 2018.09

ISSN  02632241

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© 2018 Elsevier Ltd Especially with increased cutting forces using complex-shape tools such as long end milling tools, deflection in machining significantly affects the dimensions and geometry. This kind of error in end milling may be efficiently reduced by controlling the cutting parameters and properly selecting a suitable lubrication mode. The target of this research is to study the mechanism of deflection error and find the optimum condition for the cutting process to minimize deflection error. In this research, lubrication mode is considered one of four factors affecting deflection error in traditional flood lubrication, Minimal Quantity Lubrication (MQL), nanolubrication and dry cutting, which are used in the machining process with end milling tools. The three other parameters are axial depth of cut, radial depth of cut, and feed of cut. The workpiece material used in this research is AL 6061-T6, the cutting tool used is HSS end milling with diameter 4 mm, and the mode employed is side milling. The experiment is designed according to the Taguchi method, and it includes sixteen samples. The cutting fore and deflection error on a workpiece are recorded and then analyzed by S/N response analysis and analysis of variance (using Pareto ANOVA). The results indicate that radial depth of cut affects nearly 95% to deflection error. The effect of the other factors is not considerable. The optimum deflection error (31.22 μm) is attained at the lowest level of radial depth of cut (0.32 mm) and feed of cut (250 mm/min), and the second level of axial depth of cut (10 mm) and Minimal Quality Lubrication. A model of tool deflection named Instantaneous Deflection is defined and used to explain the phenomenon of deflection error. This model can explain the mechanism of deflection in end milling much better than average cutting force models. It proves that cutting force and distance between tool holder and cutting point are two parameters affecting deflection error. Between these two factors, cutting force has a much more significant effect. Cutting force is also proven to have a strong linear relationship with deflection error.

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Super-Accurate Angular Encoder System with Multi-Detecting Heads Using VEDA Method

Nobuyuki ISHII, Kayoko TANIGUCHI, Kazuo YAMAZAKI, Hideki AOYAMA

精密工学会誌 (精密工学会)  Vol.84 ( No.8 ) pp.717 - 723 2018.08

Research paper (scientific journal), Joint Work, Accepted

Method of Emerging Delight Design Based on KANSEI

Yukako Tanaka,Hideki Aoyama

Proceedings of the ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE, 2018)    8 pages 2018.08

Research paper (international conference proceedings), Joint Work, Accepted

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Robust Design Method For KANSEI Using Taguchi Method And Neural Networks: A Case Study On Plaid Patterns

Mai Misaka,Hideki Aoyama

Proceedings of the ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE, 2018)  2018.08

Accepted

A COMPARATIVE STUDY ON MICRO MACHINING OF SUPER FINE GRAIN TUNGSTEN CARBIDE BY VARIOUS MICRO PCD BALL END-MILLING TOOLS

Yoshinori Ogawa, Kazutoshi Katahira, Hiroyuki Shimada, Kazuo Yamazaki, Hideki Aoyama

Proceedings of International Symposium on Flexible Automation(ISFA2018)    pp. 1 - 4 2018.07

Research paper (international conference proceedings), Joint Work, Accepted

Future Oriented Research for Integrated of Digital Design and Digital Manufacturing

Hideki Aoyama

Proceedings of MTTRF/iAM-CNC Annual Meeting 2018    pp.27 - 34 2018.07

Research paper (international conference proceedings), Single Work, Accepted

Experimental Investigation of BLPCD Characteristics to Develop CAM System and Simulation System for Femtosecond Laser Processing

Shunsuke Nabetani, Hideki Aoyama, Masahiro Ueda, Yoshinori Ogawa, Kazuo Yamazaki

Proceedings of MTTRF/iAM-CNC Annual Meeting 2018    pp.19 - 26 2018.07

Research paper (international conference proceedings), Joint Work, Accepted

Modification method of drawn design on decorating film/shrink film for obtaining distortion-free design

Shoko Fujii, Ruka Suzuki, Hideki Aoyama, Yukio Mori

Computer-Aided Design and Applications (Taylor and Francis Group)     pp.1 - 7 2018.03

Research paper (scientific journal), Joint Work, Accepted

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Non-dominated sorting biogeography-based optimization for bi-objective reentrant flexible manufacturing system scheduling

Rifai A., Nguyen H., Aoyama H., Dawal S., Masruroh N.

Applied Soft Computing Journal (Applied Soft Computing Journal)  62   187 - 202 2018.01

ISSN  15684946

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© 2017 Scheduling in flexible manufacturing systems (FMS) is described as an NP-Hard problem. Its complexity has increased significantly in line with the development of FMS over the past years. This paper presents a non-dominated sorting biogeography-based optimization (NSBBO) for scheduling problem of FMS having multi loading-unloading and shortcuts infused in the reentrant characteristics. This model is formulated to identify the near optimal trade-off solutions capable of addressing the bi-objectives of minimization of makespan and total earliness. The goal is to simultaneously determine the best machine assignment and job sequencing to satisfy both objectives. We propose the development of NSBBO by substituting the standard linear function of emigration-immigration rate with three approaches based on sinusoidal, quadratic and trapezoidal models. A selection of test problems was examined to analyze the effectiveness, efficiency and diversity levels of the proposed approaches as compared to standard NSBBO and NSGA-II. The results have shown that the NSBBO-trapezoidal model performed favorably and is comparable to current existing models. We conclude that the developed NSBBO and its variants are suitable alternative methods to achieve the bi-objective satisfaction of reentrant FMS scheduling problem.

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Basic study on automatic determination of injection conditions based on automatic recognition of forming states

Masaki OGAWA, Hideki AOYAMA, Noriaki SANO

Journal of Advanced Mechanical Design, Systems, and Manufacturing (The Japan Society of Mechanical Engineers)  Vol.12 ( Issue 6 ) 11 pages 2018

Research paper (scientific journal), Joint Work, Accepted

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Development of super-accurate angular encoder system with multi-detecting heads using VEDA method

Nobuyuki ISHII, Kayoko TANIGUCHI, Kazuo YAMAZAKI, Hideki AOYAMA

Journal of Advanced Mechanical Design, Systems, and Manufacturing (The Japan Society of Mechanical Engineers)  Vol.12 ( Issue 5 ) 13 pages 2018

Research paper (scientific journal), Joint Work, Accepted

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Detection principle and verification of non-contact displacement meter with pico-meter resolution

AOYAMA HIDEKI

Journal of Advanced Mechanical Design, Systems, and Manufacturing (The Japan Society of Mechanical Engineers)  Vol.12 ( Issue 5 ) 7 pages 2018

Research paper (scientific journal), Joint Work, Accepted

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Green Product Preferences with Respect to Cultural Influences: Empirical Study in Indonesia

Ihwan Ghazali, Salwa Hanim Abdul Rashid, Siti Zawiah Md Dawal, Hideki Aoyama, Alva Edy Tontowi, Raja Ariffin Raja Ghazilla

International Journal of Automation Technology (Fuji Technology Press Ltd.)  Volume 12 ( Issue 6 ) pages 842 - 852 2018

Research paper (scientific journal), Joint Work, Accepted

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