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RISS 인기검색어
- 검색키워드
- 저자 : Geng-He Chang (검색결과 2 건)
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Load-related dynamic behaviors of a helical gear pair with tooth flank errors
Lehao Chang,Xuepeng Cao,Zhaoxia He,Geng Liu 대한기계학회 2018 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.32 No.4
This study focused on the effects of tooth manufacturing errors (MEs) on the dynamic behaviors of a helical geared system. The composite mesh error is introduced and calculated, which is taken as error excitation in the dynamic model. A combined finite element method (FEM) and analytical contact model is used to investigate the interaction of mesh stiffness and MEs. The dynamic model is developed based on the finite element method and its effectiveness has been verified. By introducing stiffness excitation and error excitation, the effects of mesh stiffness and MEs can be easily distinguished in the total excitation. The influence degrees of these two factors are obtained at different torque levels by simulating the quasi-static and dynamic responses of the system. The results show that the composite mesh error will have great changes under light load conditions, and larger dynamic factors as well as decreased resonance speed will be brought. The excitation produced by manufacturing errors is dominate in the total vibration excitation in a light loading, while the excitation produced by mesh stiffness is becoming the dominating one in a heavy loading.
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Type 2 Diabetes Mellitus Increases Peritonsillar Abscess Susceptibility: Real-World Evidence
Ching-Lung Wu,Ming-Shao Tsai,Ta-Jen Lee,Yun-Ting Wang,Chia-Yen Liu,Yao-Hsu Yang,Yao-Te Tsai,Cheng-Ming Hsu,Ching-Yuan Wu,Pey-Jium Chang,Geng-He Chang 대한이비인후과학회 2021 Clinical and Experimental Otorhinolaryngology Vol.14 No.3
Objectives. Type 2 diabetes mellitus (T2DM) is a risk factor for deep neck infection (DNI) and leads to complications and poor outcomes. Our study aimed to investigate the risk, prognosis, and complications of peritonsillar abscess (PTA) in patients with T2DM. Methods. We extracted data of patients newly diagnosed as having T2DM between January 2000 and December 2011 from Taiwan’s National Health Insurance Research Database. These patients were matched with patients without T2DM, and PTA incidence was compared between both cohorts. Results. In total, 67,852 patients with and 135,704 patients without T2DM were enrolled. PTA incidence was significantly higher in patients with T2DM (incidence rate ratio, 1.91; P<0.001); moreover, PTA incidence was higher at 1 to 5 years after T2DM diagnosis than at <1 and >5 years after T2DM diagnosis. Cox regression analysis showed that patients with T2DM had an approximately 2-fold higher PTA risk (adjusted hazard ratio [aHR]: 1.89, P<0.001). Patients with a higher adapted Diabetes Complications Severity Index (aDCSI) had higher PTA risk than those with a lower aDCSI (aHRs: 2.17 for aDCSI ≥1, P=0.006 and 1.81 for aDCSI=0, P=0.002). T2DM patients with a high aDCSI (≥1) had a nonsignificantly longer hospitalization duration and a higher rate of DNI complications than did those with a low aDCSI (=0). Conclusion. In patients with T2DM, PTA incidence was relatively high, and it increased with T2DM severity. Moreover, T2DM patients should be particularly careful about PTA within 1 to 5 years after the diagnosis, and physicians should keep in mind that the prognosis of PTA was correlated with T2DM severity.
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