The determination of effective thermal conductivity of wax deposits is an important part of calculation of the heat transfer in wax deposition. Based on the analysis of effective thermal conductivity calculation method of heterogeneous binary mixture, a model suitable for calculating effective thermal conductivity of wax deposits is determined, and the influence of different effective thermal conductivity calculation methods on heat transfer characteristics of pipelines is compared and analyzed. The results show that the effective thermal conductivity of wax deposits becomes larger with the increase of mass fraction of wax in the sediments. Under the same mass fraction of wax, effective thermal conductivity calculated by parallel model is the largest, followed by ME2 model, EMT model and series model, and the calculation results of ME2 model and EMT model are close. The hypothesis of EMT model is similar to the structure distribution of actual wax deposits, so it is recommended to use the EMT model to calculate effective thermal conductivity of wax deposits. The temperature along the pipe section calculated by EMT model and M correlation is very close, and radial temperature gradient obtained by EMT model is higher than M correlation. Generally speaking, the heat transfer calculation results of pipelines obtained by EMT model and M correlation have little difference, but correlation is more convenient and has certain advantages.

The p－t－butylcatechol （TBC） was synthesized from catechol， isobutylene and acidic zeolite using as a new catalyst．Effect of process conditions on reaction was investigated． The optimum technology parameters were obtained．The
yield of TBC is above 85% every time when the reaction temperature is140 ℃， the reaction time is 8 h，the mole ratio of catechol to isobutylene is 1:1 .2,and mass fraction of the catalyst is 20% which can be repeatedly used more than 30 times．

The acoustic emission signals were measured during plastic deformation and crack propagation in Q235-B and 0Cr18Ni9 stainless steel.Wavelet transform was applied to analyze inspection signal for investigating the acoustic emission characteristics of material. The results show that the acoustic emission signal of carbon steel is analyzed by six-layer db5 wavelet transform, the most energy is concentrated in d5 level.Peak frequency is located in the range of 166~176 kHz.Energy ratio in d5 level is higher during crack propagation than palstic transform.While the acoustic emission signal of stainless steel through the same wavelet transform, the most energy is concentrated in d6 level.Peak frequency is located in the range of 88～112 kHz. Energy ratio in d6 level is higher during crack propagation than palstic transform.