Multi-objective method integrated with back propagation neural network analysis for surface quality in wood–plastic composite milling

European Journal of Wood and Wood Products, Год журнала: 2025, Номер 83(2)

Опубликована: Фев. 22, 2025

Язык: Английский

Vibration Characteristics Analysis of Boring Bar with Tunable Dynamic Vibration Absorber

Materials, Год журнала: 2025, Номер 18(6), С. 1324 - 1324

Опубликована: Март 17, 2025

In deep-hole boring processes, bars with a large length-to-diameter ratio are typically employed. However, excessive overhang significantly reduces the bar’s stiffness, inducing vibrational effects that severely degrade machining precision and surface quality. To address this, research objective is to suppress vibrations using tunable-parameter bar. This paper proposes novel Tunable Dynamic Vibration Absorber (TDVA) bar designs its fundamental parameters. Based on derived dynamic model, vibration characteristics of proposed analyzed, revealing variation in damping performance under different excitation frequencies. By establishing relationship between TDVA damping, axial compression rubber bushings, optimal parameter combinations can be precisely identified for specific Ultimately, adjusting TDVA’s displacement (0.1–0.5 mm) expands effective frequency range compared conventional while maintaining operational reliability. study innovatively integrates achieve coupled stiffness adjustments, addressing rigidity–adaptability trade-off tools.

Язык: Английский

Design of a self-excited vibration tool bar for cutting difficult-to-machine alloys

International Journal of Mechanical Sciences, Год журнала: 2025, Номер unknown, С. 110456 - 110456

Опубликована: Июнь 1, 2025

Язык: Английский