Search

Current parameters are the main factors influencing the tooth filling of small module tooth-shaped parts (SMTSPs) with characteristics of hollow, thin wall-thickness made of difficult-to-deform metal during current-assisted splitting spinning (CASS). A coupled electrical-thermal-mechanical finite element analysis (FEA) model was established based on the ABAQUS software, and the influence of pulse current parameters, such as current density and duty ratio, on the tooth saturation was investigated. The results show that the tooth saturation increases obviously under pulse current comparing without pulse current, and increases rapidly with the increasing of the current density and duty ratio, but the tooth saturation tends to reach a threshold value when the current density greater than 13.5 A/mm2 and the duty ratio greater than 20%. The relative error of the tooth saturation between simulation and experimental result is less than 2%, which indicates that the established CASS FEA model of SMTSPs is reasonable.

Village collective economic income insurance takes “administrative village” as applicant and insured and “collective economic income of village” as insured object. When village collective economic income is lower than the target income due to natural disasters, accidents, liability for breach of contract, market conditions and economic environment, the insurance company will be liable for the compensation according to the contract. A survey of Huai’an, the first pilot city of this insurance, shows that the village collective economic income insurance has played a certain role in promoting the village collective economic development, but still has some problems need to be overcame, such as limited insured, imperfect design, inadequate publicity, backward technology and means, and chaotic management. In the future, more attentions should be paid to differentiated design, precise publicity, digital application, standardized operation and scientific management, in order to improve the effect of guarantee of the village collective economic income insurance.

Caoe River sluice project is located at the Caoe River Estuary on the South Bank of Jianshan River Bay of Qiantang River. The project has comprehensive utilization of moisture-proof (flood), waterlogging control, water resources development and utilization, as well as improving water environment and shipping. The completion of the Cao’e River Sluice Project has improved the flood control capacity of the main stream of the Cao’e River (below the Shangpu sluice), the drainage capacity of the plain of the Cao’e River Basin, and the navigation guarantee rate of the Hangzhou Ningbo canal and the Cao’e River section of the Hangzhou Ningbo canal. The regulation of Cao’e River sluice has an important impact on the above functions. The regulation of Cao’e River Sluice depends on the accurate analysis of rainfall. Therefore, this paper analyzes the rainfall in the area where the Cao’e River sluice is located, and finds that it has a long period of 34 years and a small period of 20 years, and will be in a dry period in the next few years.

Using corn straw as raw material, the effects of three different ways of returning corn straw to the field, namely direct returning corn straw to the field, decomposed corn straw returning to the field and maize straw biochar returning to the field, on saline-alkali soil were studied by indoor culture. The results showed that maize straw directly returned to the field was the best way to improve the stability of saline-alkali soil aggregates; maize straw biochar returned to the field was the best way to reduce the alkalinity of saline-alkali soil; maize straw directly returned to the field and decomposed maize straw returned to the field enhanced the activity of soil urease and alkaline phosphatase, while reducing the activity of soil catalase. Maize straw biochar returned to field reduced soil urease activity and increased soil catalase activity, but had no significant effect on soil alkaline phosphatase activity.

Tourism index is a "barometer" to reflect the overall development level of tourism. The tourism index compiled by historical data can not reflect the real situation accurately with the increasing influence of network events on tourism In the Internet era. This study collects time series data of tourism network search by Baidu index tool and uses data mining method and principal component analysis method to detect and standardize the stability of the data. The spss system and the weighted analysis method are used to construct the tourism network index model. Finally, the model detection is carried out by comparing the actual tourism data in Sanya. This study is an important supplement to the existing tourism index.

The online store credit rating is a reflection of the seller's integrity and the quality of the product. The level of the credit rating directly affects the buyer's desire to purchase. Two important factors affecting the credit rating are data and models. The innovation of this research is that the collected data comes from the second evaluation, and the credit evaluation model is improved based on the snowNLP tool, and the malicious brushing filtering function is added. Compared with the credit evaluation system commonly used in current online stores, the evaluation results of the paper are more accurate, detailed and intuitive, and may effectively reduce false brushing and threat review.