Effects of backrest and seat-pan inclination of tractor seat on biomechanical characteristics of lumbar, abdomen, leg and spine.

Seat is a direct human-machine interaction component between the tractor and driver, and thus its reasonable parameter design is of great significance for preventing occupational diseases and improving driving comfort, safety and operation efficiency. In this study, a biomechanical model of seat-driver system was established with the AnyBody biomechanical software. The activities of the lumbar, abdominal and leg muscles and the load of the spine of the driver were used as indicators for quantitative simulation analysis of the inclination of backrest and seat-pan. The results reveal that the optimal range of backrest inclination angle is 3-15°, which contributes to the lowest muscle activity and spinal load of the driver. As for the seat-pan inclination, the activities of lumbar and abdominal muscles and the spinal load generally show slight fluctuations with increasing inclination angle, but there are complex changes in the activities of leg muscles, and the seat-pan inclination angle of 5-16° was determined as the optimal range for better overall driving comfort.

Finite element modal analysis and harmonic response analysis of human arm grasping model.

Based on CT scan, the finite element models of human arm were constructed. Modal analysis of the arm was performed, and the natural vibration characteristics were evaluated. The dynamic simulation of the vibration transmission process was carried out when grasping the handle, and the vibration response and transmission characteristics were investigated. Resonance was likely to occur in the ranges of 5-10 Hz and 35-40 Hz, which caused fatigue damage to the arm. Vibrations in the ranges should be avoided having direct contact with the handle. The analysis results were found to be consistent with those of modal analysis.

Study on Hydrogen Fluoride at High Temperature Detection Method with Temperature Correction Based on Laser Technology.

Hydrogen fluoride(HF) is one of the important character gases for fault diagnosis of gas insulation switch (GIS) in the system of substation equipment. The high-accuracy, fast- response and real-time detection method of HF is a focus in industrial and environmental fields. In this research, the HF detection experiment system was set up at first based on laser absorption spectroscopy technology combined with anti-corrosion multiple reflection cell made by monel steel. Moreover, the laser absorption spectral characteristics of HF at different temperature were analyzed, then the coefficient partition function curve and absorption linestrength curve according to the distribution function coefficient in HITRAN database were studied. As the most important work, the concentration inversion algorithm was designed here with HF character spectrum analysis and temperature parameter correction method for accurate concentration inversion after the basic study. At last, the continuous experimental results were obtained by HF sample gases of different concentration considerating the temperature characteristic of the multiple reflection cell. When the multiple reflection cell was heat and stay stably, the biggest detection error of concentration inversion was 5.33% and 5.87% at 313 and 323 K respectively without temperature correction, and that was 1.20% and 1.47% respectively after temperature correction. By continuous detection and culculation, the detection limit is 8.7×10-5 mmol·mol-1 at 323 K which is a little higher than 6.3×10-5 mmol·mol-1 at 290 K(20 m optical length). Although the detection error with temperature correction at high temperature was higher than it at room temperature, the results show that it was lower than that without correction at the same temperature. It was verified that the this spectrum detection method and concentration inversion algorithm works stably and reliably, so this technology could realize HF real-time monitoring demand in chemical production field and it will provide the effective technical support in gas emission regulation in safety and environment protection for our country.

Solubilization of Polycyclic Aromatic Hydrocarbons by Single and Binary Mixed Rhamnolipid-Sophorolipid Biosurfactants.

Biosurfactants are promising additives for surfactant enhanced remediation (SER) technologies due to their low toxicity and high biodegradability. To develop green and efficient additives for SER, the aqueous solubility enhancements of polycyclic aromatic hydrocarbons (PAHs; naphthalene, phenanthrene, and pyrene) by rhamnolipid (RL) and sophorolipid (SL) biosurfactants were investigated in single and binary mixed systems. The solubilization capacities were quantified in terms of the solubility enhancement factor, molar solubilization ratio (MSR), and micelle-water partition coefficient (). Rughbin's model was applied to evaluate the interaction parameters (ß) in the mixed RL-SL micelles. The solubility of the PAHs increased linearly with the glycolipid concentration above the critical micelle concentration (CMC) in both single and mixed systems. Binary RL-SL mixtures exhibited greater solubilization than individual glycolipids. At a SL molar fraction of 0.7 to 0.8, the solubilization capacity was the greatest, and the MSR and reached their maximum values, and ß values became positive. These results suggest that the two biosurfactants act synergistically to increase the solubility of the PAHs. The solubilization capacity of the RL-SL mixtures increased with increasing temperature and decreased with increasing salinity. The aqueous solubility of phenanthrene reached a maximum value at pH of 5.5. Moreover, the mixed RL-SL systems exhibited a strong ability to solubilize PAHs, even in the presence of heavy metal ions. These mixed biosurfactant systems have the potential to improve the performance of SER technologies using biosurfactants to solubilize hydrophobic organic contaminants by decreasing the applied biosurfactant concentration, which reduces the costs of remediation.