論文 - 青山　英樹

Simulation of Shrinkage Errors in Processes of Selective Laser Sintering with a Milling Function

Atsushi Ozono, Hideki Aoyama, Ichiro Araie

Proceedings of The 23rd International Symposium on Advances in Abrasive Technology    362 - 365 2021年11月

研究論文（国際会議プロシーディングス）, 査読有り

In-process measurement of Melt Pool Temperature for High-Quality Modeling in Directed Energy Deposition

Teppei Shimada, Hideki Aoyama, Masahiro Ueda, Kazuo Yamazaki

Proceedings of The 23rd International Symposium on Advances in Abrasive Technology    354 - 357 2021年11月

研究論文（国際会議プロシーディングス）, 査読有り

High-efficiency and High-quality Modeling using Directed Energy Deposition Based on Real-time Control of Modeling Paths

Erika Okamoto, Hideki Aoyama, Kengo Aizawa, Masahiro Ueda, Kazuo Yamazaki

（Proceedings of The 23rd International Symposium on Advances in Abrasive Technology）     358 - 368 2021年11月

研究論文（国際会議プロシーディングス）, 査読有り

Method for Simulation of Femtosecond Laser Ablation Based on Modeling of Physical Phenomena

Shusuke Hironaka, Hideki Aoyama, Kazuo Yamazaki

（Proceedings of The 23rd International Symposium on Advances in Abrasive Technology）     379 - 382 2021年11月

研究論文（国際会議プロシーディングス）, 査読有り

Automatic Inspection of Automobile Headlamp Lenses Using Deep Learning

Naoki ONO, Hideki AOYAMA

Proccedings of The 10th International Conference on Leading Edge Manyufactuyring in 21st Century (LEM21)    1 - 3 2021年11月

研究論文（国際会議プロシーディングス）, 査読有り

High-Precision Machining of Free Curved Surfaces Based on Correction of Ball End Mill Bending

Asuka UCHIDA, Hideki AOYAMA

Proccedings of The 10th International Conference on Leading Edge Manyufactuyring in 21st Century (LEM21)    1 - 4 2021年11月

研究論文（国際会議プロシーディングス）, 査読有り

デジタルスタイルデザインに関する研究　－感性，印象の融合，パターンの連結に基づくシボデザインシステムの開発－

莅戸康暉，青山英樹，森幸雄

精密工学会誌 （精密工学会）  vol. 87 （ No. 10 ） 821 - 826 2021年10月

Green product preferences considering cultural influences: a comparison study between Malaysia and Indonesia

Ihwan Ghazali, Salwa Hanim Abdul-Rashid, Siti Zawiah Md Dawal, Hideki Aoyama, Novita Sakundarini, Fu Haw Ho, Safarudin Gazali Herawan

Management of Environmental Quality Volume 32 2021年05月

Shrinkage Error Analysis in Selective Laser Sintering Hybrid Milling

Nguyen T.N., Aoyama H., Araie I.

International Journal of Precision Engineering and Manufacturing Vol. 22 2021年05月

ISSN  22347593

　概要を見る

Selective laser sintering hybrid milling (SHM) is an advanced manufacturing process that combines the advantages of both metal powder bed fusion and milling. Using this technology, extremely complex products can be fabricated with high accuracy and reasonable surface quality. SHM has enormous potential in the application of mold fabrication; molds with free-form inner cooling channels can be produced with this technology. The key feature of this technology is that milling is conducted not only after, but also during the forming process. However, this leads to the issue that although machined layers of products have a high level of accuracy without thermal deformation, the addition of new layers causes the materials to undergo shrinkage and deformations to occur on their machined layers. The dimensional error due to shrinkage significantly affects to the accuracy of SHM process; therefore, a completely understanding of the formation error due to shrinkage is highly important in developing efficient solutions. In this study, shrinkage deformation is observed in detail through the results of simulation using finite element analysis. Three shrinkage rules and the unclamping effect are proposed to completely explain the shrinkage error shape in SHM. Finally, an experiment is conducted to confirm the final result of shrinkage.

• Access to Document (DOI)

工作機械の加減速制御に伴う実送り速度の同定に基づく工具たわみ量の補正による加工精度の向上

安田玲，野口知哉，青山英樹

精密工学会誌 （精密工学会）  Vol. 87 （ No. 5 ） 475 - 482 2021年05月

Development of a simulation method for three-dimensional shape generation by femtosecond laser ablation on binderless nano-polycrystalline diamond

Nabetani S., Aoyama H., Ueda M., Ogawa Y., Kobayashi Y., Yamazaki K.

Precision Engineering （Precision Engineering）  Vol. 67   262 - 268 2021年01月

ISSN  01416359

　概要を見る

One advantage of a femtosecond laser is that it enables the processing of materials that are otherwise difficult to process via conventional methods such as cutting, grinding, electric discharge machining, etc. However, it is difficult to predict a three dimensional shape processed by the laser. To achieve required three-dimensional shapes using femtosecond lasers with high accuracy and efficiency, it is essential to develop a computer-aided manufacturing (CAM) system that generates processing data (NC data). In this paper, a simulation method is proposed for femtosecond laser processing, which is the basis for the development of a CAM system. A binderless nano-polycrystalline diamond is used as the workpiece material to test the proposed method. Based on a comparison with the experimental results, it is confirmed that the processing shape could be simulated at a high accuracy for fixed-point irradiation as well as scanning irradiation.

• Access to Document (DOI)

Prompt estimation of die and mold machining time by AI without NC program

Takizawa H., Aoyama H., Won S.C.

International Journal of Automation Technology  Vol. 15 （ No. 3 ） 350 - 358 2021年

ISSN  18817629

　概要を見る

Machining time estimation is essential for the due-date estimation of products as well as for production plan-ning. Conventionally, machining time has been estimated by a computer aided manufacturing (CAM) system, which requires time and effort to create its nu-merical control (NC) program and requires machining expertise to operate it. In addition, among the problems with conventional methods, an error in the estimated machining time arises owing to the machine tool’s control characteristics. In this study, an artificial intelligence (AI)-based system capable of estimating machining time promptly and simply based on shape data without requiring any NC program is developed. The input data to the AI system are color information regarding the machined depths, which are used to estimate the rough-machining time, and color information regarding the machined surface curvature distributions to estimate the finish-machining time. Color information on the machined depths and machined surface curvature distributions is created using three-dimensional computer aided design (3D CAD) data. To build the AI system, the shape data and machining time data accumulated at the machining site are used, so that the machining time estimated reflects the machining method, machining expertise, and the machine tool characteristics employed.

• Access to Document (DOI)

Generation method of cutting tool paths for high-speed and high-quality machining of free-form surfaces

Takanashi Y., Aoyama H., Won S.C.

International Journal of Automation Technology Vol. 15 （ No. 4 ） 521 - 528 2021年

ISSN  18817629

　概要を見る

In general, NC programs for machining free-form surfaces using a computer numerical control (CNC) machine tool are generated using a computer-aided manufacturing (CAM) system. The tool paths (CL data) generated by a CAM system are approximated straight-line segments based on tolerance (allowable error). As a result, the tolerance affects the machining accuracy and time. If the tolerance is set to a small value, the lengths of the segments are shortened, and the machining accuracy is improved. The process in which a CNC machine tool reads and analyzes an NC program and controls the motors requires a mini-mum processing time of an NC program block (block-processing time). Therefore, if the lengths of the approximated straight-line segments are too small, it will be impossible to reach the indicated feed speed, and the machining time will be longer. In this study, by identifying the block-processing time of a CNC con-troller and deriving the appropriate length of the approximated straight-line segment based on the block-processing time, a CL data creation method that is ca-pable of high-speed and high-accuracy free-form surface machining is proposed. In addition, experimental verification tests of the method are conducted.

• Access to Document (DOI)

Recognition of the Real Trajectory of Cutting Tool and the Improvement of Tool Path Accuracy Based on the Identification of Acceleration and Deceleration Control of Machine Tool

TomoyaNoguchi, Hideki Aoyama

Proceedings of the 22nd International Sysmposium on Abrasive Technology (ISAAT2019) USB   1 - 8 2020年12月

研究論文（国際会議プロシーディングス）, 査読有り

High-Precision Machining Based on the Prediction of Tool Deflection Error in End Milling

Rei Yasuda, Hideki Aoyama

Proceedings of the 22nd International Sysmposium on Abrasive Technology (ISAAT2019) USB   1 - 6 2020年12月

研究論文（国際会議プロシーディングス）, 共著, 査読有り

Wrinkle Redesign Based on KANSEI Requirements and Processing System

Koki NOZOMUTO, Hideki AOYAMA, Yukio MORI

Proceedings of International Conference on Precision Engineering (ICPE2020) 2020年11月

研究論文（国際会議プロシーディングス）

Assembly shop scheduling for collaboration of humans, robots and AGVs

Kosuke INOUE, Hideki AOYAMA

Proceedings of International Conference on Precision Engineering (ICPE2020) 2020年11月

研究論文（国際会議プロシーディングス）

Precise Simulation of Femtosecond Laser Processing Based on Identification of Ablation Parameters by On-Machine Measurement

Hiroyuki KAWAKAMI, Shunsuke NABETANI, Masahiro UEDA, Hideki AOYAMA, Kazuo YAMAZAKI

Proceedings of International Conference on Precision Engineering (ICPE2020) 2020年11月

研究論文（国際会議プロシーディングス）

Quantification of Disturbance Error of Magnetic Encoder by Simulation

Chihiro MURAYAMA, Shigeaki MARUYAMA, Hideki AOYAMA, Kazuo YAMAZAKI

Proceedings of International Conference on Precision Engineering (ICPE2020) 2020年11月

研究論文（国際会議プロシーディングス）

統合CNCシステム開発のための基礎研究　－加工技術情報をフィードバックする仕組みによる生産性工場－

須藤雅子，青山英樹

精密工学会誌 （精密工学会）  Vol. 86 （ No. 10 ） 806 - 812 2020年10月