In order to obtain the optimal technological conditions of preparing biodiesel, artificial neural network was used to study the biodiesel processing model on transesterification method based on the single factor experiment and orthogonal experiment. The results of experiment indicated that we used the back propagation BP algorithm of artificial neural network to set the network prediction model based on the orthogonal test data can forecast the biodiesel conversion rate under different reaction conditions more accurately.The optimal conditions were obtained from this network model as follows: Molar ratio of methanol to oil was 6:1, the catalyst was 1.0% (w/w, based on oil), reaction temperature and reaction time was 65°Cand 2.5h respectively. Under the optimal conditions, the conversion rate of prediction was 94.93%, the conversion rate of experiment was 95.42% and the relative error was 0.51% compared with the predicted value. Therefore, the network k model could reflect inherent law of sample.

In the field of spatial orientation, the rotational parallel mechanism is widely used. While the existence of coupling brings about the parallel mechanism some difficulties in kinematics and dynamic analysis, the development of control system, and so on. This condition restricts the application fields and effects of the rotational parallel mechanism. Therefore, this paper proposes a novel 2-DOF (two degrees of freedom) rotational DPM (decoupled parallel mechanism). The feature of the mechanism is described and their movement form is analyzed with screw theory. The proposition of the novel rotational DPM will enrich the configurations of the parallel mechanism, and the contents of this paper should be useful for the further research and application of the rotational parallel mechanism.

[Objective] The research aimed to take the waste oil from restaurants as raw material for hydrolysis preparation of fatty acid atmospheric pressure.[Method] Fatty acid was produced by hydrolysis of waste oil from restaurants under normal pressure at the temperature of(95±5)°C.Effects of ratio of oil to water, amount of catalyst, emulsification and time on hydrolysis reaction were studied.[Results] The optimal parameter was as follows:amount of emulsification 3％.amount of catalyst 15％, weight ratio of oil to water l:3，hydrolysis time at 15 h.Under the conditions.the acid value of hydrolyzed Waste Oil from Restaurants reached 173.3 mg/g．[Conclusions] The fatty acids which were commonly used in industry could be produced under normal pressure by hydrolyzing the rapeseed oil.And the conversion rate could reach 92.8％.In this paper, the results are same as that of similar reports. So used waste oil from restaurants as raw material and SDBS as emulsifier to prepare fatty acid under normal pressure is a feasible method.

Methane fermentative residue is comprised of biogas slurry and biogas residue. It is important by-product of methane fermentative. It contains rich nutrients such as N,P,K, amino acids, humic acid, B vitamins hormone-based active substance. Add the methane fermentative residue (MFR) into the feeding-stuff can increase the efficiency of it. And it also can improve the quality of the pork. The family who owned the household biogas plant want raise pig will make the ecological agriculture come true if they recycle and reuse the methane fermentative residue.

Based on the concept of modularity and reconfiguration, this paper adopts the function— principle—structure modeling approach, shedding light on dividing and reconstructing the modules based on the product function and finally put forward molding scheme. The author also verifies the feasibility of this kind of modeling method with the reconfigurable machine tools in turning and milling as case study.