目的:探讨细银质针导热松解联合臭氧注射与神经根脉冲射频治疗带状疱疹后神经痛(postherpetic neuralgia,PHN)的疗效。方法:选择中日友好医院疼痛科2018年1月至2019年11月PHN病人80例,随机均分为细银质针导热松解联合臭氧注射组(S组)和...目的:探讨细银质针导热松解联合臭氧注射与神经根脉冲射频治疗带状疱疹后神经痛(postherpetic neuralgia,PHN)的疗效。方法:选择中日友好医院疼痛科2018年1月至2019年11月PHN病人80例,随机均分为细银质针导热松解联合臭氧注射组(S组)和神经根脉冲射频组(R组)。观察术前、术后1小时、3个月、6个月的视觉模拟评分法(visual analogue scale,VAS)评分、阿森斯失眠量表(Athens insomnia scale,AIS)评分、生活质量指数问卷(quality of life index,QL-index)评分和总体疗效。结果:两组病人术前VAS、AIS和QL-index评分无统计学差异,术后1小时、3个月和6个月,两组的VAS和AIS评分均明显低于术前基础值,且QL-index评分明显高于术前基础值(P<0.01)。两组术后1小时的VAS和AIS评分无统计学差异,但术后3个月、6个月时S组明显低于R组(P<0.05)。两组QL-index评分和总体有效率在各时间点无统计学差异。结论:细银质针导热松解联合臭氧注射和神经根脉冲射频均可有效治疗PHN,但细银质针导热松解联合臭氧注射的痊愈率更高。展开更多
Pre-knowledge of machined surface roughness is the key to improve whole machining efficiency and meanwhile reduce the expenditure in machining optical glass components.In order to predict the surface roughness in ultr...Pre-knowledge of machined surface roughness is the key to improve whole machining efficiency and meanwhile reduce the expenditure in machining optical glass components.In order to predict the surface roughness in ultrasonic vibration assisted grinding of brittle materials,the surface morphologies of grinding wheel were obtained firstly in the present work,the grinding wheel model was developed and the abrasive trajectories in ultrasonic vibration assisted grinding were also investigated,the theoretical model for surface roughness was developed based on the above analysis.The prediction model was developed by using Gaussian processing regression(GPR)due to the influence of brittle fracture on machined surface roughness.In order to validate both the proposed theoretical and GPR models,32sets of experiments of ultrasonic vibration assisted grinding of BK7optical glass were carried out.Experimental results show that the average relative errors of the theoretical model and GPR prediction model are13.11%and8.12%,respectively.The GPR prediction results can match well with the experimental results.展开更多
The aim of this work is to simulate thermal deformation of tool system and investigate the influence of cutting parameters on it in single-point diamond turning(SPDT) of aluminum alloy. The experiments with various cu...The aim of this work is to simulate thermal deformation of tool system and investigate the influence of cutting parameters on it in single-point diamond turning(SPDT) of aluminum alloy. The experiments with various cutting parameters were conducted. Cutting temperature was measured by FLIR A315 infrared thermal imager. Tool wear was measured by scanning electron microscope(SEM). The numerical model of heat flux considering tool wear generated in cutting zone was established. Then two-step finite element method(FEM) simulations matching the experimental conditions were carried out to simulate the thermal deformation. In addition, the tests of deformation of tool system were performed to verify previous simulation results. And then the influence of cutting parameters on thermal deformation was investigated. The results show that the temperature and thermal deformation from simulations agree well with the results from experiments in the same conditions. The maximum thermal deformation of tool reaches to 7 μm. The average flank wear width and cutting speed are the dominant factors affecting thermal deformation, and the effective way to decrease the thermal deformation of tool is to control the tool wear and the cutting speed.展开更多
文摘目的:探讨细银质针导热松解联合臭氧注射与神经根脉冲射频治疗带状疱疹后神经痛(postherpetic neuralgia,PHN)的疗效。方法:选择中日友好医院疼痛科2018年1月至2019年11月PHN病人80例,随机均分为细银质针导热松解联合臭氧注射组(S组)和神经根脉冲射频组(R组)。观察术前、术后1小时、3个月、6个月的视觉模拟评分法(visual analogue scale,VAS)评分、阿森斯失眠量表(Athens insomnia scale,AIS)评分、生活质量指数问卷(quality of life index,QL-index)评分和总体疗效。结果:两组病人术前VAS、AIS和QL-index评分无统计学差异,术后1小时、3个月和6个月,两组的VAS和AIS评分均明显低于术前基础值,且QL-index评分明显高于术前基础值(P<0.01)。两组术后1小时的VAS和AIS评分无统计学差异,但术后3个月、6个月时S组明显低于R组(P<0.05)。两组QL-index评分和总体有效率在各时间点无统计学差异。结论:细银质针导热松解联合臭氧注射和神经根脉冲射频均可有效治疗PHN,但细银质针导热松解联合臭氧注射的痊愈率更高。
基金Project(51375119) supported by the National Natural Science Foundation of China
文摘Pre-knowledge of machined surface roughness is the key to improve whole machining efficiency and meanwhile reduce the expenditure in machining optical glass components.In order to predict the surface roughness in ultrasonic vibration assisted grinding of brittle materials,the surface morphologies of grinding wheel were obtained firstly in the present work,the grinding wheel model was developed and the abrasive trajectories in ultrasonic vibration assisted grinding were also investigated,the theoretical model for surface roughness was developed based on the above analysis.The prediction model was developed by using Gaussian processing regression(GPR)due to the influence of brittle fracture on machined surface roughness.In order to validate both the proposed theoretical and GPR models,32sets of experiments of ultrasonic vibration assisted grinding of BK7optical glass were carried out.Experimental results show that the average relative errors of the theoretical model and GPR prediction model are13.11%and8.12%,respectively.The GPR prediction results can match well with the experimental results.
基金Project(51175122)supported by the National Natural Science Foundation of China
文摘The aim of this work is to simulate thermal deformation of tool system and investigate the influence of cutting parameters on it in single-point diamond turning(SPDT) of aluminum alloy. The experiments with various cutting parameters were conducted. Cutting temperature was measured by FLIR A315 infrared thermal imager. Tool wear was measured by scanning electron microscope(SEM). The numerical model of heat flux considering tool wear generated in cutting zone was established. Then two-step finite element method(FEM) simulations matching the experimental conditions were carried out to simulate the thermal deformation. In addition, the tests of deformation of tool system were performed to verify previous simulation results. And then the influence of cutting parameters on thermal deformation was investigated. The results show that the temperature and thermal deformation from simulations agree well with the results from experiments in the same conditions. The maximum thermal deformation of tool reaches to 7 μm. The average flank wear width and cutting speed are the dominant factors affecting thermal deformation, and the effective way to decrease the thermal deformation of tool is to control the tool wear and the cutting speed.
