受賞国：台湾

受賞区分：出版社・新聞社・財団等の賞  受賞国：日本国

出版者・発行元：CIRP Annals  

In this paper, a novel thin-wall milling strategy named “L-stock method” is proposed. The demand of thin walls has continued its increase due to the strict goal setting of reducing carbon emission. However, its practical machining method has not changed for a long time even though many measures were proposed in the literature. In the proposed method, the directional relationships between the cutting process and the compliant direction are focused, and plunge milling is applied aggressively, which leaves an “L”-shaped stock material, to increase the workpiece stiffness. The synergetic advantages of the proposed method are verified mainly by experiments.

DOI： 10.1016/j.cirp.2024.04.085

Scopus

担当区分：筆頭著者,　責任著者   記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Precision Engineering  

For smart manufacturing systems, it is required to monitor the cutting process in real-time to recognize the present state of the process. In this study, a novel method to monitor important parameters (i.e., axial/radial depths of cut and end mill runout) in the square end milling process by analyzing frequency components of the cutting torque is proposed. The proposed method assumes easily achievable information about the cutting conditions (i.e., spindle speed and feed rate) and tool parameters (i.e., helix angle, nominal radius, and number of flutes) as the given inputs. The presented method only utilizes measured torque data and the given inputs; therefore, it does not require any previously tuned information (e.g., specific cutting forces). From the perspective of the cutting torque model, analytical relationships between the process parameters to monitor and the frequency components of the cutting torque are clarified. On the basis of the mathematical expressions derived from the model, the proposed method offers a monitoring scheme of axial/radial depths of cut and runout. In addition, an index is suggested to offer information on reliability of the monitored outputs to the user. As results of experimental tests, the proposed method successfully monitored axial/radial depths of cut and runout and evaluated the reliability of the outputs.

DOI： 10.1016/j.precisioneng.2023.01.010

Web of Science

Scopus

担当区分：筆頭著者   記述言語：英語   掲載種別：研究論文（学術雑誌）   出版者・発行元：Precision Engineering  

In the general turning process, solutions for attaining the tool-workpiece relative position such as in-situ touch probes, external devices mounted with air/electric micrometers, and cameras are either indirect or cost/space-consuming. In this paper, a novel direct contact detection method based on the internal data of the machine tool servo and the self-identification strategy of the rotational center as an application of the detection method are proposed. The former method compares the internal data of the non-contact and contact motions, and then precisely identifies the contact position by processing it backwardly. The latter method makes multiple contacts on the pre-machined surface of the workpiece with a redundant-axis movement, and the rotational center identification is realized using the coordinates of contacts achieved by the former method. The effectiveness of the proposed methods is verified experimentally.

DOI： 10.1016/j.precisioneng.2022.09.012

Web of Science

Scopus

記述言語：日本語  

記述言語：英語   会議種別：口頭発表（一般）  

国名：ドイツ連邦共和国  

記述言語：英語   会議種別：口頭発表（一般）  

開催地：Da Nang   国名：ベトナム社会主義共和国  

記述言語：日本語   会議種別：口頭発表（一般）  

国名：日本国  

国名：カナダ  

出願番号：2024-000250  出願日：2024年1月

出願番号：PCT/JP2023/002880  出願日：2023年1月