In this paper, study on the Ni-MoP electroless plating which are heat treated with different time and temperature. Test and record the hardness of coatings by the micro-hardness tester. Modeling analysis and optimize the parameters of the coating hardness by uniform design methods. The results indicate that under the same experiment parameters, the maximum hardness of the Ni-MoP electroless plating are mainly effect by the heating time and temperature. The hardness decrease when the heat temperature is over high and heating over long time. Got the hardest coating after the heat treatment technology of 380 ~ 400 ℃ for 3 h.

No abstract

The fixture is an important part of the machining accuracy in machine production. In this paper, the shaft hole parts are taken as the research object, and the adjustable drilling jigs of the hole parts are designed. According to the requirements of the six-point positioning principle of the fixture design, the positioning and clamping method of the fixture are preliminary designed, and the part design is completed. And create a 3D model of the fixture part and use ANSYS for simulation analysis. Therefore, a feasible scheme of the adjustable hole mold fixture for shaft hole part is obtained, and the machining cycle of the shaft hole part is reduced based on the effective scheme of the fixture design, and the machining precision of the part is improved.

Deformation prediction is an important basis for roadway information construction, especially for soft rock roadway at high altitude and large buried depth, whether the deformation of roadway surrounding rock can be effectively and accurately predicted is an important basis for judging the stability of roadway surrounding rock. However, at present, the research on the informatization construction of the roadway is not in-depth, and the intelligent prediction technology for the deformation of the surrounding rock of the roadway is still in its infancy, and the accuracy of deformation prediction is also low. Therefore, based on the research of domestic and foreign researchers, in order to solve the breakthrough of related technology, this paper puts forward the deformation prediction and control technology of high altitude and deep buried soft rock roadway based on a neural network model. This method is based on the traditional prediction model and is replaced by the neural network, so as to improve the problems of low accuracy and large prediction deviation in the related deformation prediction of the traditional prediction model. At the same time, aiming at the problem of poor local weight and network search ability, an improved method using particle swarm optimization algorithm is proposed, which effectively considers the influence of local and global factors on the combined weight. Finally, the improved deformation prediction model of high altitude and deep buried soft rock roadway based on particle swarm optimization LSTM model is applied to an engineering example and compared with the traditional model to explore its feasibility and effectiveness. The results show that the prediction model has higher prediction accuracy than the traditional prediction model, and the relative deviation of the prediction results is controlled within 2%. At the same time, compared with other models (BP neural network model), it has relatively higher accuracy and stability. The research results can provide a new idea for the deformation prediction of soft rock roadway with high altitude and deep burial.

Parts of fixture design directly affects the processing quality of parts, especially the torque overload protector parts processing. In this paper, through the design of the function-feature-structure model, based on CAD/CAE common software, through Solid Works three-dimensional modeling software to build the model, and use soliworks simulation module, fixture rigidity analysis, verify reasonable. At the same time, the three-dimensional model of the part is introduced into the finite element software ANSYS to analyze the rigidity of the clamping force to verify whether the clamping fixture design is reasonable and whether the part deformation meets the design requirements.