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We report on an ambitious project in the field of automation, applied to bound and free abrasive processing of precision and ultra-precision surfaces, with potentially far-reaching consequences. This involves two main aspects:- directly processing surfaces using industrial robots, and combining robots with Zeeko CNC polishing machines to automate operations that are currently manual. These form steps towards our ultimate vision of the Integrated Manufacturing Cell for bespoke optics rather than mass-produced, and manufacture of other precision surfaces including prosthetic joint implants. Projects such as the European Extremely Large Telescope provide a relevant case study, where significant numbers of high-value bespoke optics are required.

3D quantitative prediction can be summarized as finding the combination parts of favorable metallogenic information based on the 3D geological models and cubic block models. Based on metallogenic prediction theory, relying on 3D visualization technology, 3D database technology and statistical calculations, this paper established the technical processes of 3D quantitative prediction and evaluation of deep mineral resources which including 3D geological modeling, prospecting model establishing, mineralization favorable information analysis and 3D quantitative prediction and evaluation.The favorable metallogenic information analysis and extraction which implemented based on 3D cubic block models extended the prospecting method from 2D to 3D space, and realized the visualization of deep quantitative geological information from the 3D point of view. The method of using 3D spatial exploration flag variable to realize 3D prediction of deep concealed ore provides a new way of prospecting prediction study of deep mineral resources.

This study focuses on cold-pressed oil cakes of camellia and bancoul nut seeds, studying the fractal characteristics of pore microstructure of these two oilseed cakes. Combined with the fractal theory, the Darcy law and Hagen-Poiseuille formula were applied to establish a fractal permeability model of oil seed cakes. Cold press was used to determine permeability of oil cakes of camellia and bancoul nut seeds. The calculated values obtained through the model were compared to the experimental values. The relative average errors for camellia and bancoul nut oilseed cakes were 11.7% and 8.7%, respectively.

Planner multi-linkage mechanism is widely used in the manufacturing industry. In this paper, a kind of planner R-2RRP-RRR mechanism is researched. The kinematics simulation model is established and implemented for this kind of mechanism based on SimMechanics and Adams respectively. Through simulation, the motion rule for the key part of mechanism is obtained. The simulation results show that this method is effective and efficient when the simulation is implemented for a certain machine system. Meanwhile, it provides a foundation for design and manufacturing of the mechanism in the future.

The compacted even nanonickel film was coated on the surface of cenospheres of the fly ash from coal-burning power plants (3070 μm, particle density 0.3344g/cm3) which are hollow spheres with a shell consisting of quartz and mullite by magnetic sputtering technology. The optical microscope, scanning electric microscope and X-ray diffraction was use to examine the properties and the thickness of the coated nanonickel film. The results show that magnetic sputtering method is efficient to coat smooth, even and tightly combined nanonickel films on the cenospheres surface. The coated cenospheres can be widely used in industries.

Planner six-bar mechanism is widely used in the textile industry. In this article, feed mechanism of sewing machine is studied. The kinematics and dynamics simulation model is established for this kind of mechanism. On the basis of it, a relevant simulation is carried out through SimMechanics. Thus, the motion rules and stress state for all parts of mechanism are described vividly. The simulation results show that this method is effective and efficient when the simulation is implemented for a certain machine system. Meanwhile, it provides a foundation for the further research of the mechanism in the future.

Considering the fractal characteristic of oilseed cake, the relationship between the permeability and the pore fractal dimension of peanut and sesame cake has been investigated. The microstructures of peanut and sesame cake under five applied pressures are measured by using stereo light microscope and Image-pro image analyzer. Using the box-counting method, the fractal dimensions of pore size distributions are measured. A mathematical model incorporated fractal dimension and permeability has been developed to predicate the permeability of compressed peanut and sesame under cold condition based upon combining Hagen-Poiseulle equation with Darcy’s law for flow of fluid through porous media. There is a prediction of permeability of peanut and sesame cake. Thus, a measurement is carried out for validation. The values of mean relative errors are 19.4% and 11.4 respectively. A fairly good agreement is obtained in the case of high applied pressure. And there exists a tendency that the value of the difference between the theoretical calculation and the permeability measurement decrease significantly with the increase of applied pressure.

According to the components, mechanical properties of difficult-to-process material (26NiCrMoV145)as well as characteristics of high-speed machining, modelling and prediction of cutting force in high-speed milling is studied. Based on geometry model of ball end mill edge line, milling force model of helical ball milling cutter is established by theoretical analysis and empirical coefficient. Then, simulation prediction of cutting forece is conducted under different circumstances. The experimental result shows that the predicted cutting force is consistent with experimental data and the established model is reasonable. The article contributes to the milling of difficult-to-process material, which improves security and productive efficiency in processing.

An identification method of spindle bearing fault based on rough sets theory is proposed in the article. By collecting bearing’s typical fault signal and using signal information processing techniques, vibration fault data is obtained. Then, equidistant clustering analysis method is introduced into discretization of experimental data of continuous attributes. In this way, vibration fault data table meets the requirement of rough sets data analysis. Besides, attribute importance algorithm is used in order to realize the reduction of condition attribute in the decision table. Thus, fault information which hidden in huge signal data is extracted. Therefore, simple and clear fault pattern rules are acquired. The result indicates that the method can realize fault pattern identification of spindle’s bearings and it is of great application value in practical fault pattern identification.

Compelled by the shortage of non-renewable energy and long-term development of society, the purpose of this study was to test the feasibility and possibility of the widespread of battery electric vehicles (BEV) to substitute fuel vehicles. “Life cycle cost” (LCC) model was used to compare the cost of electric vehicle and gasoline vehicle from 2009 to 2035 year assuming that the cost is charged by “per-mile-cost”. After 2019, the cost of EV will manifest its superiority. It was concluded that the vehicle manufactures should strive to improve the performance of battery technologically, especially the number of charge cycle first and the government can provide fuel tax or financial subsidy for costumes to buy EV or provide research fund to assist technological improvement to boost the widespread of EV

From analyzing the characters of depth first search algorithm， we proposed a new map coloring algorithm. The proposed algorithm overcomes the disadvantage of other algorithms in the field of Map-coloring, and the results show that the proposed algorithms can solve the problem of coloring administrative map efficiently and obtain optimal solutions

A new kind of cathode materials, Li3V2(PO4)3/C nanocomposites, has been prepared via one-step solid-state reaction using ultra low-cost asphalt as both reduction agents and carbon sources. The asphalt is contained 60.37% of fixed carbon and 0.18% of other impurity.It is purchased from Zhen jiang Xin Guang Metallurgical Subsidiary Material Plant. Structural analysis shows that the obtained Li3V2(PO4)3/C nanocomposites contain abundant Li3V2(PO4)3 nanorods and micro/nano particles encapsulate with carbon shells. The Li3V2(PO4)3/C nanocomposites achieve enhanced dischargeability, reversibility, and cycleability. Electrochemical tests show that the Li3V2(PO4)3/C nanocomposite has initial discharge capacities of 170 mAhg-1 at 0.1C in the voltage range of 3.0 to 4.8 V. The improved electrochemical properties of the Li3V2(PO4)3/C nanocomposites are attributed to the presence of Li3V2(PO4)3/C nanorods and the electronically conductive carbon shell. This one-step solid state reaction using low-cost asphalt as carbon sources is feasible for the preparation of the Li3V2(PO4)3/C nanocomposites which can offer favorable properties for commercial applications.

The overall three-dimensional parametric model of the crankshaft has been completed based on the ANSYS Parametric Design Language (APDL) from the software of ANSYS and by combing the structure analysis capability with the statistical analysis capability of its PDS module, the reliability analysis of Monte Carlo finite element method (FEM) will be achieved according to the finite element analysis technology and the reliability basic principles. The 4110 diesel engine crankshaft was taken as an example, the parametric design will be introduced into the finite element structure analysis to implement the rapid adjustment of the structure parameter, produce the anatomic model automatically and complete the process of the structural analysis and reliability analysis. The process that the reliability analysis of the crankshaft has been realized will be described in detail. According to the results of probability analysis, the sensitivity relation between the design variable and the object variable will be obtained and at the same time the maximum stress probability distribution function of these dangerous parts and the main affective factor for object variable will be given, which will offer the useful data for the structure reliability optimization design.

By controlling the integrated error of standard mast section, achieve requirement interchangeability for assembling.Through calculating and controlling the target of error, determined,so that provide the basis for determining the target value of manufacturing error controlling. And through special welding fixture and gauge and measuring instruments for controlling and detecting.By analyzing the qualitatively and quantitatively,applying the special welding fixture, so that the error of the manufacturing for the standard mast section is controllable.

The 6012 type aerial work platform is mainly used in the construction of steel structure occasions, and the overall and local stability of the studies to ensure construction safety and reduce accidents are of great significance. In this paper, I apply finite element analysis software ANSYS to model the hydraulic legs, and conduct static structural analysis of the hydraulic legs for 6012 type aerial work platform. At last, I will calculate the maximum deformation of single hydraulic legs and maximum stress of the situation in the maximum stress conditions, compared with the theoretical values and the actual test results.

In order to make the reasonable cycle time, the AHP (Analytical Hierarchy Process)-fuzzy comprehensive evaluation was applied to analyze the factors of affecting cycle time and the model feasibility was verified through a projecting example. With the development of the construction market, the project bidding is further regulative and extensive. In order to obtain more benefits, reducing project costs becomes very important to enterprise, so the construction quota which meets their own scale must be drawn up. All kinds of factors that would affect the cost will be measured, analyzed and evaluated by the construction quota, and the main quota difference is the measurable consumption, so it is important to make the quota of per hour construction machinery, while cycle time is the one of the main factors of affecting machinery quota [1, 2].

By using of Kuhn`s yield criterion, plasticity constitutive equations of extruded oilseeds in a closed cylinderical cell were developed. The model parameters were identified from experimental stress—strain using an inverse method. The maximum relative deviations between the measured and the simulated value of soybean and cottonseed are 8.5% and 5.1% respectively, and the average relative deviations are 4.9% and 3.8% respectively. The results of numerical simulation for confined pressing of granular soybeans and cottonseeds in the closed cylinderical cell indicated the following facts that granular soybeans and cottonseeds conform to the model of three power curve, the plasticity constitutive equations can describe the plastic deformation for extruded soybean and cottonseed, and Kuhn`s yield criterion can be used as theoretical basis for plasticity model of granular soybeans and cottonseeds.

To improve the permeate flux of ceramic membrane, commercial α-Al2O3 microfiltration membrane of 0.2 μm pore diameter was modified with SnO2 nano grains by in situ synthesis method. The permeate fluxes of the membrane for pure water and treating Fe(OH)2 suspensions were studied mainly in the paper. The results showed that the pure water stable permeate fluxes of unmodified and SnO2 modified microfiltration membranes were 0.61 m3h-1m-2 and 1.87 m3h-1m-2, respectively. When treating 1L 0.01 mol∙L-1 Fe(OH)2 suspensions, the permeate fluxes of SnO2 modified membrane was higher than that of unmodified membrane all the time and the clarified permeate was obtained. The results indicated that in situ synthesis method can be successfully used to modify α-Al2O3 microfiltration membrane with SnO2 nano grains for permeate flux increase, and the microfiltration membrane has excellent treatment effect on Fe(OH)2 suspensions. Furthermore, the enhancement mechanism of permeate flux of SnO2 modification microfiltration membrane was discussed initially.