In order to coordinate the ride comfort and safety effectively,the research on hybrid control strategy of active suspension based on Particle Swarm Algorithm (PSA) is conducted.The limitations of skyhook/groundhook control strategy in dynamic performance improvement are analyzed firstly.Then the hybrid control strategy is proposed followed by a combination of skyhook and groundhook control strategy,and control parameters of hybrid control strategy are optimized and determined by using particle swarm algorithm.And then,the comparative simulation analysis of the active suspension based on hybrid control strategy and traditional passive suspension in time domain and frequency domain are conducted.The results show that the performance of active suspension of hybrid control strategy is significantly better than the passive.The RMS value of vehicle body acceleration decreases by 13.89%,the RMS value of dynamic deflection is reduced by 22.22%,meanwhile the RMS value of wheel dynamic load decreases by 8.59%,which verify the effectiveness of hybrid control strategy in coordination of vehicle dynamic performance and correctness of optimization results of control parameters.At last,bench test is conducted,and the experiment results agree with the simulation results,which verifies the accuracy of simulation results.

Physics-based packing for two-dimensional layout design is a new way which use a rubber band wrapping around some objects to simulate the compacting process due to elastic contraction ability.Constructed the model of physics-based layout design and analyze the rule of physical movement.An experiment is designed to obtain the path of the moving objects.The results of the bench test match well with the analysis of the movement rule.So does physics-based method for layout design.

Evaluation of auto dealers credit is an effective way to manage and oversight auto dealers by automobile manufacturers.But current evaluation of credit have questions of fuzzy index and uncomprehensive consideration and other issues.To solve the problems,according to industry developments automobile manufacturers and on the basis of analysis of auto dealers’ operating status and evaluation of auto dealers credit,a suitable evaluation index system of auto dealers credit is established and using the Analytic Hierarchy Process(AHP) and fuzzy comprehensive evaluation method to evaluate the auto dealers credit.According to grade rating of auto dealers credit,automobile manufacturers adjust support measures and incentives on auto dealers.This method provides a basis for decision-making.

For the problem that the characterization of the gear fault signal feature is difficult to extract and the structure parameters selection of Support Vector Machine (SVM) are based on experience leads the poor precision of fault state recognition,proposes a K-L divergence and PSO-SVM based method of gear fault diagnosis.First of all,the gear vibration signal is divided by EMD into several Intrinsic Mode Functions (IMF).Then,it selects IMF that contains main characteristics of signal and calculates their K-L divergence with the original signal value.Second,the Particle Swarm Optimization (PSO) was used to optimize the punish coefficient of Support Vector Machine (SVM) and the structural parameters of Gaussian kernel width coefficient.The gear fault classification model is built;The effectiveness of the method was validated by the experimental data of gear.The experimental result shows that compared with the TF-SVM,TF-PSO-SVM,gear fault diagnosis method based on K-L divergence and PSO-SVM has higher precision.

Aiming to the development status of production management and information level in domestic ship military manufacturing enterprises,analyzed their features of production management and management requirements of actual businesses.Based on research on basic theory of MES,proposed and built the production management platform for ship military manufacturing enterprises based on MES.Finally,introduced some implementation and application effects in a ship military manufacturing enterprise.

To obtain Xinjiang industrial enterprises the level the “integration of the two”,according to the requirements of 《Industrial enterprises “information technology and industrialization” assessment specification》.Based on the informatization development status of our region’s industry enterprises,determine the three-level evaluation index system with the level and ability,the effectiveness and efficiency as the core,use expert appraisal method,Analytic Hierarchy Process(AHP) and local variable weight and other methods proposed a weight variable model facing to different industries.Through data collation and analysis of questionnaires on 413 industrial enterprises of Xinjiang,find our region’s industry enterprises weak links in “integration of the two”,point out Xinjiang should be based on the existing resources and industry characteristics,accelerate the information technology in industry all areas,various links application,penetration and integration.Improve the core competitiveness of our region’s industrial enterprise information environment.

In the wild,a large number of machines can′t be repaired due to the lack of maintenance tools.The repair tools can be manufactured rapidly by Fused Deposition Modeling(FDM) process.However,the strength of direct prototyping tools are not high enough to complete the repair works.It is necessary to investigate that how to improve the tools strength produced by FDM.Research the performance influence factor of repair tools such as plum wrenches and double-headed wrench stay manufactured by FDM,the strength of maintenance tools with different internal filling units was calculated.A experiment was designed to explore the influence of filling rate,type of filling units and print direction influence on tools strength.The design and process principle of FDM tools was presented to improve the characteristics of repair tools.

Aiming at scheduling difficulties of different collection port,low reconfigurable of collection procedures because of the complexity of manufacturing information characteristics and different data acquisition methods of the application layer.A data acquisition integration framework based on plug-in system,in the form of eXtensible Markup Language (XML) storage data acquisition plugin description was proposed.A way of creating multi-thread previously to deal with data acquisition request queue and a way based on priority-FCFS to configure collection port for data collection were used.The feasibility of the framework and its implementation method were proved by analysis of the prototype of an example.

Through longitudinal braking merely on highway,vehicles are difficult to avoid ahead obstacles.And the typical control method could not satisfy lane-change problem constrained multi-objective optimization.Therefore,the ideal lane-change trajectory model and safety distance model have determined.Based on the theory of Model Predictive Control(MPC) and with the 3-DOF vehicle model,the emergent lane-change control system has designed.To solve the problem,the optimal control problem was converted into a secondary plan problem.The wheel steering angle input was the control variable,and the optimal trajectory of following the ideal lane-change trajectory was the control object.Results of simulations show that the system designed can accurately control vehicle running under the predetermined better trajectory and with the better stability so as to improve the driving safety of vehicles.

The heavy Automatic Hydraulic Transmission (AT) vehicle as research object,based on existing traditional shift strategy,on the basis of the analysis of the problems caused by traditional shift strategy on slope,the driver′s intentions were considered fully,a fuzzy adjustment slope shift strategy was devised by using multiple control parameters.According to the parameters of the prototype,the simulation model of vehicle shift was established and the situation of continuous ramp was simulated.Finally,the road test of AT vehicle was carried out.The results of simulation and test showed that,the fuzzy adjustment slope shift strategy can solve the problems caused traditional shift strategy,improving the traveling performance of AT vehicles on slope.

A problem for manufacturing enterprises is how to obtain grinding process plans intelligently.Currently choosing the grinding process plans is still focus on the traditional “test cut” method and “experience” law.On the basis of,an intelligent reasoning model of camshaft NC grinding process based on rule-based reasoning,genetic algorithm and BP neural network methods is introduced.Its structure is constructed by three layers including variable,fact and rule.Mixed reasoning with positive and negative position,an integrated sort of confidence and activity to realize conflict resolution is used in reasoning strategy.A 5×12×8 GA-BP network topology model is established.After testing,the results show that for 85.42% of the predicted values their percentage errors are within ±10%.Its effectiveness is verified by applying the model to process.

To choose the reasonable NC cutting parameter,the mathematical models for cost and machine efficiency of cutting parameters in cutting state were established.Aiming at the nonlinearity and multi-constraints of NC cutting parameters optimization problem,the constraint violation of method was used to process constraints.In order to avoid algorithm into local optimum,algorithm introduced Metropolis twice sampling criteria twice.An optimization method based on Hybrid Multi-Objective Particle Swarm Optimization (HMOPSO) algorithm was employed.Finally,validation calculation was successfully implemented through a cutting parameter optimization example.

Taking orifice chamfering as the research object,in understanding the macro-program processing method of FANUC 0i system,proposes a method of write orifice chamfering NC macro program.Based on orifice chamfering tool and tool path analysis,on the basis of using the macro-program directive of FANUC 0i system extension,developed orifice chamfering machine cycle instructions.Practice shows that the method can satisfy on the NC milling machine processing orifice chamfering production requirements.This instruction to achieve the desired results at the same time,simplify the algorithm and the programming process,it has been verified by the actual effect is good.

The dynamic performance of the nozzle baffle servo valve is related to the control precision and the response speed of the electro-hydraulic speed control system.According to the geometric relationship among the baffle components and the main valve,the functional relation between the baffle and the control valve and dynamic equilibrium equation of the servo valve were constructed.The dynamic model of the nozzle baffle servo valve is established by AMESim with relevant parameters of a certain type of servo valve.The results showed that servo valve has an ultra fast response,high sensitivity,good oil pressure stability and stable dynamic following performance;it is proved that under the step response of the system,the gap between the flapper and the nozzle can return to the initial state both quickly and accurately,which will help ensure the stability of the initial setting speed.The sensitivity characteristics of the internal state variables of the servo valve are analyzed,so this modeling method provides a theoretical basis for the optimal design and dynamic analysis of servo valves.

Based on parameter analysis,selected the axial module,radius of arc tooth profile of grinding wheel,lead angle as optimization variable to have a optimization design for ZC1worm gearing.For better meshing performance,induced normal curvature and lubrication angle were selected as objective functions.Combining with the constraints about top thickness of worm,top thickness of worm wheel and undercutting,the optimum mathematical model was established.The improved particle swarm algorithm was adopted as optimization algorithm and the results show that the optimized lubrication angle and induced normal curvature are better.It’s effective to improve meshing performance of worm gearing.

By applying finite element method simulation technology,static structural,modal and harmonic response module,the dynamic numerical simulations of the server chassis structure under prestress state were carried out.The dynamic analysis contain modal analysis and harmonic response analysis.The inherent frequency and vibration modes of the server chassis,harmonic response regularity caused by fan vibration and the comparison between prestressed and non-prestressed modal analysis can be concluded.According to the results,the second order modal vibration mode which inherent frequency is near 90Hz is primarily located on the back of the chassis,easily causing damage to the mainboard.The difference between prestressed and non-prestressed modal analysis is small.The maximum amplitude of the harmonic response vibration caused by the fan vibration source is near 90 Hz,located on the back of the chassis base.This study proposes a dynamic analysis method about the server chassis and provides theoretical reference for the optimization design of the chassis structure.

A reliability evaluation method based on grey neural network modeling is put forward to tool reliability evaluation of missing data in failure sample.The vibration signal and tool wear is obtained by online experiment.Wavelet packet decomposition,time domain statistics and correlation analysis are used to extract significant features.The obtained feature is wavelet energy entropy,seventh band and ninth band wavelet energy,seventh band mean,RMS amplitude,RMS value,standard deviation.Building grey neural network mode.Take 7 significant features as input,take tool wear as output to train network model.Enter the random sample data,to obtain the tool wear data.The pseudo failure life is determined by the preset failure threshold.At last,to establish and complete the Weibull distribution model of reliability assessment.Tool simulation experiment results show that grey neural network model has higher prediction accuracy compared with the grey forecasting model.

A finite element model of the track pin of continuous miner EML340 is established.The model is to investigate the effect of the change of assembly clearance on the failure mode of the track pin in two working conditions:concentric and non-concentric assembly.The analysis results show that the eccentric load caused by the non-concentric assembly accelerates failure of the track pin.The maximum stress of the track pin increases with the increase of the assembly clearances.The maximum stress position of the track pin is gradually deviated from the shear plane.As the assembly tolerance clearances value is 2mm,the maximum stress is 1.5 times higher,and the fracture mode of the track pin belongs to fatigue failure.

In the Just-In-Time(JIT) mode development background,order delivery delay punishment and product inventory costs by more and more attention.To solve the balance problems delayed punishment orders and inventory costs between the limited capacity preconditions,to establish a total maximum profit integrated decision method of order acceptance and scheduling.Using on an improved double-coded genetic algorithm to solve the model.Finally,examples of verification,by comparison with several order selection heuristic rules,and improve before and contrast the improved algorithm,respectively demonstrate the effectiveness and feasibility of the model and algorithm.

In order to improve the detecting efficiency of the crankshaft shoulder,a machine vision system for crankshaft rapid detecting was developed.Firstly,according to the crankshaft grinding process and the producing principle of over limit error,the image identifying criterion to judge the acceptable crankshaft part and the nonconforming product was provided.Secondly,the detection platform of the crankshaft with part-hold and light imaging system was designed.Some high-efficiency image processing algorithms was described.Finally,the vision system performance testing experiments were carried out.Experimental results indicate that the detecting accuracy rate of the crankshaft vision detection system is 100% and the detection system is easy to use.The detecting system has high measurement efficiency,which could be used to check many shaft parts in manufacture.

In order to realize the automatic classification of flat springs a new classification method based on machine vision is proposed.And the distribution vectors of black pixel is extracted as the feature parameter vector.Then,the SVMs DDAG method is used to classify the different types of flat springs,and the test samples of flat spring are classified into different types.The result shows that this classification method is so efficient and accurate that can meet the requirements of the flat spring automatic classification.

A novel design of the power-recycling hydraulic cylinder-testing equipment has been put forward for the severe power waste and the hydraulic impact of the present hydraulic cylinder-testing equipment.Demonstrating the principle of power-recycling in detail and analyzing the hydraulic impact which was caused by the kinetic energy of the oil to be transformed into pressure energy instantly while reversing.Aiming at the problem,adopts the method of adding accumulator to suppress the hydraulic impact.Based on the theoretical analysis,AMESim modeling and simulation analysis,the results of simulation and testing application shows that the power recovery type hydraulic cylinder-testing equipment had stable characteristics of load-applying,and the hydraulic impact significantly reduced.

There are many mini-PLCs of various brands applied on the field equipments for SMEs,but the communication of different brand PLCs has no interoperability.Considering the monitoring requirement of production data in SMEs,a communication system is designed among PC and different brand mini-PLCs to monitor the production process by using CAN-bus and programming port protocol owned by each PLC,and it is realized with MC68HC908GZ60 micro controller as kernel chips.Without changing the current situation of the equipments,the goal of low-cost information reform for field management is achieved,which provide a low-cost plan for SMEs to realize information reform for field management.

In order to improve the accuracy of articulated arm coordinate measuring machine,the measuring posture optimization based on clustering analysis was proposed.On the basis of the mathematical model,by using systematic cluster analysis,cluster of posture information was constructed,clusters were extracted by scoring method.Measuring posture optimization was finished by result of extraction.The experimental results show that the accuracy of the machine was greatly influenced by the measuring posture,the measuring accuracy was improved by 1 time after the measuring posture optimization.It provides a basis for further research.

The design of tong frame of the large-scale forging hydraulic manipulator should satisfy the requirements of sufficient buffer force,long buffer stroke and high efficiency.The buffer characteristics of tong frame motion were compared by using different buffer mode such as spring buffer and hydraulic buffer including throttling,overflow value and accumulator,the results indicate that the accumulator buffer mode was identified as to the requirements of the sufficient buffer force and quickly reset for the tong frame of the large-scale forging hydraulic manipulator.The research could provide some important technical support for the design of large-scale manipulator system.

Considering the influences of horizontal through crack on the fatigue life,the formula of strain energy of cracked pipe is introduced based on the theory of fracture mechanics.The dynamic model of pipe unit with horizontal through crack is established by the finite element method.Based on the dynamic model of cracked pipe element,the dynamic equation of the pipe with horizontal penetrating crack is obtained.The studies show that the dynamic equation discovers the internal relation between the dynamic characters of pipe with horizontal penetrating crack and the structural parameters,material parameters and crack parameters.

In order to achieve the condition-based maintenance and improve the reliability and maintainability of the heavy vehicles,makes long-term spectrometric oil monitoring of a heavy-duty vehicle drive lubricants,according to spectrum monitoring data,builds the concentration gradient and concentration degree of relative difference two-dimensional model.A comprehensive evaluation method was used to define wear conditions using fuzzy sets theory.Results show that the model has higher accuracy and stability,provides a new theoretical basis for heavy vehicles spectrometric oil analysis and data processing.