RESEARCH PAPER
Optimal design of dynamic stiffness matching for gear transmission system of mirror horizontal milling machine based on global sensitivity analysis
1
Beijing University of Technology, Machinery Industry Key Laboratory of Heavy Machine Tool Digital Design and Testing Technology, China
2
State Key Laboratory of Smart Power Distribution Equipment and System, Hebei University of Technology, China
3
Shandong Institute of Scientific and Technical Information, China
A – Conceptualization; B – Methodology; C – Software; D – Validation; E – Formal analysis; F – Investigation; G – Resources; H – Data curation; I – Writing – original draft; J – Writing – review & editing; K – Visualization; L – Supervision; M – Project administration; N – Funding acquisition
Submission date: 2026-05-25
Final revision date: 2026-10-10
Acceptance date: 2026-10-29
Online publication date: 2026-11-12
Publication date: 2026-11-12
Corresponding author
Peng Niu
State Key Laboratory of Smart Power Distribution Equipment and System, Hebei University of Technology, China
State Key Laboratory of Smart Power Distribution Equipment and System, Hebei University of Technology, China
Eksploatacja i Niezawodność – Maintenance and Reliability 2027;29(2):242317
HIGHLIGHTS
- Dynamic model is built for mirror horizontal milling machine gear transmission
- Sobol analysis identifies torque, stiffness and ratio as key factors
- FEA and hammer tests verify natural frequencies and modal agreement
- Gapless rack drives and diaphragm couplings improve response stability
- Optimal damping ratio is suggested as 0.03 to 0.06 for skin machining
KEYWORDS
TOPICS
ABSTRACT
Mirror structured machine tools are critical equipment for aircraft skin machining, where the dynamic stiffness of the transmission system directly affects machining stability and accuracy. To improve the dynamic performance of thin-walled milling systems, this study proposes a parameter analysis and optimization method based on global sensitivity analysis. First, the coupling relationships among key transmission parameters are analyzed, and a dynamic model of the machine tool transmission system is established. Then, the main parameters influencing dynamic stiffness are identified and classified using global sensitivity analysis. Finally, a mirror horizontal milling machine is taken as a case study, and dynamic simulations are conducted to optimize the sensitive parameters. The results show that the proposed method can effectively identify the key factors governing transmission dynamic stiffness, providing a theoretical basis for improving the control accuracy and machining quality of thin-walled components such as aircraft skins.
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| eISSN: | 2956-3860 |
| ISSN: | 1507-2711 |
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