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一种新型柔顺XY平台的优化设计,该平台集成了一种混合双对称放大器,该放大器由以垂直串联布局排列的单杠杆和斯科特-拉塞尔机构组成,用于振动辅助数控铣削。

Optimal Design for a Novel Compliant XY Platform Integrated with a Hybrid Double Symmetric Amplifier Comprising One-Lever and Scott-Russell Mechanisms Arranged in a Perpendicular Series Layout for Vibration-Assisted CNC Milling.

作者信息

Dang Minh Phung, Luong Anh Kiet, Le Hieu Giang, Tran Chi Thien

机构信息

Faculty of Mechanical Engineering, Ho Chi Minh City University of Technology and Education, Ho Chi Minh City 700000, Vietnam.

出版信息

Micromachines (Basel). 2025 Jul 3;16(7):793. doi: 10.3390/mi16070793.

DOI:10.3390/mi16070793
PMID:40731702
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12300023/
Abstract

Compliant mechanisms are often utilized in precise positioning systems but have not been thoroughly examined in vibration-aided fine CNC machining. This study aims to develop a new 02-DOF flexure stage for vibration-aided fine CNC milling. A hybrid displacement amplifier, featuring a two-lever mechanism, two Scott-Russell mechanisms, and a parallel leading mechanism, was integrated into a symmetric perpendicular series configuration to create an innovative design. The pseudo-rigid body model (PRBM), Lagrangian approach, finite element analysis (FEA), and Firefly optimization algorithm were employed to develop, verify, and optimize the quality response of the new positioner. The PRBM and Lagrangian methods were used to construct an analytical model, while finite element analysis was used to validate the theoretical solution. The primary natural frequency results from theoretical and FEM methods were 318.16 Hz and 308.79 Hz, respectively. The difference between these techniques was 3.04%, demonstrating a reliable modelling strategy. The Firefly optimization approach applied mathematical equations to enhance the key design factors of the mechanism. The prototype was then built, revealing an error of 7.23% between the experimental and simulated frequencies of 331.116 Hz and 308.79 Hz, respectively. The specimen was subsequently mounted on the fabricated optimization positioner, and vibration-assisted fine CNC milling was performed at 100-1000 Hz. At 400 Hz, the specimen achieved ideal surface roughness with a Ra value of 0.187 µm. The developed design is a potential structure that generates non-resonant frequency power for vibration-aided fine CNC milling.

摘要

柔顺机构常用于精密定位系统,但在振动辅助精密数控加工中尚未得到充分研究。本研究旨在开发一种用于振动辅助精密数控铣削的新型二自由度柔性工作台。一种混合位移放大器,具有双杠杆机构、两个斯科特-拉塞尔机构和平行引导机构,被集成到对称垂直串联配置中,以创建一种创新设计。采用伪刚体模型(PRBM)、拉格朗日方法、有限元分析(FEA)和萤火虫优化算法来开发、验证和优化新型定位器的质量响应。PRBM和拉格朗日方法用于构建分析模型,而有限元分析用于验证理论解。理论方法和有限元方法得到的主要固有频率分别为318.16 Hz和308.79 Hz。这些技术之间的差异为3.04%,表明建模策略可靠。萤火虫优化方法应用数学方程来增强机构的关键设计因素。然后制造了原型,实验频率和模拟频率分别为331.116 Hz和308.79 Hz,两者之间的误差为7.23%。随后将试件安装在制造的优化定位器上,并在100 - 1000 Hz下进行振动辅助精密数控铣削。在400 Hz时,试件获得了理想的表面粗糙度,Ra值为0.187 µm。所开发的设计是一种潜在的结构,可为振动辅助精密数控铣削产生非共振频率功率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d762/12300023/859e9dc6a2a1/micromachines-16-00793-g019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d762/12300023/28c92b887baa/micromachines-16-00793-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d762/12300023/490abe781a3c/micromachines-16-00793-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d762/12300023/ff2f55a55737/micromachines-16-00793-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d762/12300023/c7813317d0aa/micromachines-16-00793-g012a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d762/12300023/a20d5b2278c7/micromachines-16-00793-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d762/12300023/5d5d73753302/micromachines-16-00793-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d762/12300023/e615789a3013/micromachines-16-00793-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d762/12300023/5d8f2c50526f/micromachines-16-00793-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d762/12300023/87792c82d929/micromachines-16-00793-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d762/12300023/864a80c49862/micromachines-16-00793-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d762/12300023/859e9dc6a2a1/micromachines-16-00793-g019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d762/12300023/28c92b887baa/micromachines-16-00793-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d762/12300023/490abe781a3c/micromachines-16-00793-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d762/12300023/ff2f55a55737/micromachines-16-00793-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d762/12300023/c7813317d0aa/micromachines-16-00793-g012a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d762/12300023/a20d5b2278c7/micromachines-16-00793-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d762/12300023/5d5d73753302/micromachines-16-00793-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d762/12300023/e615789a3013/micromachines-16-00793-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d762/12300023/5d8f2c50526f/micromachines-16-00793-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d762/12300023/87792c82d929/micromachines-16-00793-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d762/12300023/864a80c49862/micromachines-16-00793-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d762/12300023/859e9dc6a2a1/micromachines-16-00793-g019.jpg

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