This study systematically investigates the hot deformation behavior and microstructural evolution of AA3102 aluminum alloy through isothermal uniaxial compression tests conducted at 400–550 °C and strain rates of 0.01–10 s−1. Previous studies on 3xxx-series Al–Mn alloys have mainly considered temperature and strain-rate effects while neglecting strain-dependent material parameter variations, limiting prediction accuracy under large deformation and obscuring dynamic softening mechanisms. Here, the experimental flow stress data were corrected for interfacial friction and adiabatic temperature rise. A sixth-order strain-compensated Arrhenius constitutive model was then developed to describe the coupled effects of temperature, strain rate, and strain. Full-strain-range power dissipation and flow instability maps were constructed using the dynamic material model, while optical microscopy and DEFORM-3D simulations were employed to clarify microstructural evolution and deformation inhomogeneity. The model achieved a correlation coefficient of 0.9841 and an average absolute relative error of 3.67%, demonstrating high predictive accuracy. No flow instability was detected within the investigated range, indicating excellent hot formability. The favorable compression-processing window was identified as 500–550 °C and 0.1–1 s−1, while the peak power-dissipation efficiency increased from 30.55% at ε = 0.2 to 32.90% at ε = 0.8. Optical-microstructural observations suggest that increasing temperature and decreasing strain rate are associated with an increasing contribution of dynamic recrystallization relative to dynamic recovery. Finite-element results further reveal pronounced spatial variations in strain, temperature, strain rate, and stress during compression. These findings provide baseline constitutive and thermomechanical information for subsequent AA3102 hot-extrusion optimization.
Xian-Zheng Liu, N. Jamadon, Xiao-Ming Liu et al.· Materials· 0 citations
Lower-limb rehabilitation exoskeletons are often discussed in terms of mechanics, sensing, and control, yet their rehabilitation value depends on how these elements work together during human–robot interaction. This review focuses on the integration of sensing, compliant actuation, and assist-as-needed control in lower-limb rehabilitation exoskeletons. Recent research suggests that effective assistance depends not only on actuator output, but also on reliable gait-state detection, intention-related sensing, mechanical transparency, and real-time adaptation. Current progress in sensing based on inertial measurement units (IMUs), force and pressure measurements, and electromyography (EMG) is reviewed, followed by discussion of how actuation choice and mechanical compliance influence safe and effective assistance. Major control strategies, including trajectory tracking, impedance control, hierarchical control, learning-based methods, and assist-as-needed approaches, are then compared. Remaining barriers to clinical translation include signal instability, safety and certification requirements, and the persistent gap between laboratory performance and patient-specific rehabilitation needs. Future progress will likely depend on tighter co-design of sensing, hardware compliance, and cooperative control.
Lian-Cheng Zheng, Rizuaddin Ramli, Mingtao Li et al.· Frontiers of Mechanical Engi...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.