A tool orientation smoothing method for five-axis machining to avoid singularity problems

• Autorzy: Cui Chuanhui , Zhu Zhengqing , Chen Shuai , Zheng Qiang , Chai Jinfeng , Li Xiancai

Identyfikatory

DOI

10.15632/jtam-pl/157570

• Języki publikacji: EN

Abstrakty

EN

In numerically controlled grinding of aeroengine blades, a sharp change in a rotating shaft caused by a singular zone greatly reduces grinding precision and quality. This paper proposes an algorithm to optimize the tool-path that combines optimization of the C-axis rotation angle, a modification to the tool orientation and adjustments to the tool position by taking a four-array machine tool with two rotational axes (B-axis and C-axis) as an example. The algorithm was verified using VERICUT software, furthermore, in machining experiments, the rotation amplitudes of the rotary axis in singular areas was effectively reduced, which ensured grinding quality of blades.

Słowa kluczowe

EN

aeroengine blade; smoothness of tool orientation; five-axis machine tool; singular area

• Wydawca: Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
• Czasopismo: Journal of Theoretical and Applied Mechanics
• Rocznik: 2023
• Tom: Vol. 61 nr 1
• Strony: 89--102
• Opis fizyczny: Bibliogr. 24 poz., rys., tab.

Twórcy

autor

Cui Chuanhui

• School of Mechanical Engineering and Automation, Beihang University, Beijing, China
• Collaborative Innovation Center for Advanced Aero-Engine, Beihang University, Beijing, China
• Dongchang College of Liaocheng University, Liaocheng

autor

Zhu Zhengqing

• School of Mechanical Engineering and Automation, Beihang University, Beijing, China
• Collaborative Innovation Center for Advanced Aero-Engine, Beihang University, Beijing, China

autor

Chen Shuai

• School of Mechanical Engineering and Automation, Beihang University, Beijing, China

autor

Zheng Qiang

• AECC South Industry Company Limited, ZhuZhou, China

autor

Chai Jinfeng

• AECC South Industry Company Limited, ZhuZhou, China

autor

Li Xiancai

• AECC South Industry Company Limited, ZhuZhou, China

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).