Taking a 3-DOF parallel manipulator with limbs of embedding structures as the research object,a test for residual vibration in the process of start and stop of the mechanism was done based on asymmetric input.Firstly,the joint trajectories at different strokes are determined by adjusting the asymmetric coefficient.Secondly,the asymmetric curve acceleration and deceleration method is used to plan the motor input signal.Lastly build performance detection system to test the performance of the manipulator under different asymmetric inputs.Experimental results show that by adjusting the parameters of asymmetric input can suppress the residual vibration of the end of the manipulator to improve its smooth running.

In the actual production of discrete manufacturing enterprises,the related artifacts job shop scheduling problem is common and practical.Aiming at related artifacts job shop scheduling problem,the definition and mathematical description of related artifacts job shop scheduling problem are described in detail.The Partial Relation (P-R) diagram model is designed with the shortest duration.The methods,rules and steps of P-R diagram model are introduced.To solve the P-R diagram model,a double-order algorithm based on the influence degree is designed,and use cross linked list data structure to represent the computer storage form of P-R diagram model.Finally,the effectiveness of P-R diagram model and algorithm is verified by an example.

In order to reduce the cost of NC turning and carbon emissions in the turning machining process,based on the analysis of the relationship among carbon emissions,cost of NC turning and turning cutting parameters,the carbon source characteristic function and cost estimating function are established.Then taking the machine tool spindle speed,feed and cutting depth as the optimization variables,considering the machine property parameters and processing quality constraints,puts forward the carbon benefit evaluation indicator,and establishes the optimization model of turning parameters based on carbon benefit.The model is demonstrated by using an example part.And genetic algorithm is employed.

Aiming at the gear hobbing machining process quantitative calculation problem,a gear hobbing process carbon emission quantitative calculation model and its optimization are proposed.The characteristics of material,energy consumption and carbon emissions in gear hobbing machining are analyzed,to share all kinds of carbon emissions with parts and parts processing time as the unit,complete a single gear quantitative calculation of carbon emissions.Considering the complete time and processing quality constraints,a multi-objective optimization model is established,which takes gear hobbing spindle speed and feed as the variables,the carbon emission and finished cost as the optimization objectives.Genetic Algorithm(GA) is designed to solve the optimization model,which has improved the carbon emission at the same time reduced the processing cost.A simulation experiment case is performed to verify the feasibility of the carbon emission quantitative calculation model optimization method.

Three kinds of common methods of industrial engineering are used to improve the production line of the outer side plate of an automobile enterprise.In order to compare three kinds of techniques for the improvement effect of auto production line,the TOPSIS and Grey Related Degree are used for evaluating the improvement schemes.It is concluded that value analysis technique is the ideal one to improve the auto production line,the second is the Basic industrial engineering improvement method,and the last is mistake proofing methods

In a MTO enterprise,the manager always needs to make decision of which order to be selected and accepted from a set of candidate orders for scheduling,in order to solve this problem,a new decision making structure based on the second-selection technology is built,taking into account the factor of order level and Mixed Integer Linear Programming(MILP) model.The candidate orders are chosen and scheduled by using the improved Technique for Order Preference by Similarity to the Ideal Solution(TOPSIS) classifying orders and cooperating with constrains of limited capacity,due date and production sequence etc to maximize the enterprise’s profits.Finally,an example is used and solved to demonstrate the validity of the model.

With the extensive application of titanium alloy,the machinability and the machined surface for Ti-6Al-4V has obtained widely attention,but the simulation of its machining process is not yet mature.Therefore,the cutting force,the cutting temperature,and the residual stress distribution at different depths from the machined surface were simulated by finite element method of Deform software during the turning process of titanium alloy Ti-6Al-4V under dry cutting,conventional coolant and high pressure coolant.Meanwhile the cutting force and the cutting temperature of the inserts were measured during the turning process for comparing with the simulation results.The simulation results showed that the high-pressure coolant can improve the cooling effect of the cutting process.With the increase of the pressure of coolant,the cutting force and the cutting temperature both increased decreased.The residual stress (d₂=0) is compressive stress under dry condition.With the coolant pressure increasing, the residual stress of the machined surface changed from the residual tensile stress to the residual compressive stress.The residual compressive stress is maximum under the coolant pressure of 200 bar.The value of residual stress increased with the measuring depth increasing.The maximum value of the residual compressive stress was observed at the same depth to the machined surface under all cutting condition.Compared with the experimental results,the reliability of the finite simulation is high,so that it is helpful to optimize the manufacturing parameters and provide the theoretical basis for the machining process of Ti-6Al-4V.

To meet the requirement that selective laser melting 316L stainless steel components needs milling process to improve its surface quality,a mathematical model of surface roughness is founded based on orthogonal experiment to optimize the milling parameters,which gives a basis to choose appropriate milling parameters of selective laser melting 316L stainless steel components,and the angle between the milling path and laser scanning path,as one of the surface roughness influencing factors,has been taken into account.Based on multiple linear regression analysis,milling parameter model was established.The significant tests of regression equation and regression coefficient are conducted and it is proved that the influence of the angle,the feed per tooth,milling speed and milling depth were significant,but in the significant F-measure,the angle is only about 1/8 times the feed per tooth.The prediction results of the model can provide the basis for the selection of milling parameters of the SLM complex structure in the actual production,and provide the theoretical basis for the hybrid manufacturing.Finally,the particle swarm optimization algorithm is used to find the optimal milling parameters to improve the surface quality.

Medical caring and rehabilitation device has been designed with the purpose of solving problems for those patients with lower limb paralysis and older people who have mobility difficulties,and yet there is a lack of proper medical equipment currently in the market.The structure and its function of this device are introduced in details,including the design parameters,electric and manual lifting mechanism,adjustment mechanism and folding mechanism etc.According to the first generation of prototype design experience and repeated proof,finally confirmed by foot slider and as a design scheme of the manual,and complete all the parts of the equipment of 3D modeling and the whole machine assembly in the AUTODESK Inventor CAD development environment,at the same time with the help of MATLAB simulation platform,the key state of mechanism motion analysis is completed.Results show that this device has sufficient structural strength,stiffness and stability,which meets the requirements for the expected design specification.

In order to solve the problems such as high intensity,low efficiency and hidden danger trouble,a control system of cleaning robot based on STM32 and LPC4300 is designed.Firstly,the scheme of control system based on electric push rod,servo motor and vacuum chuck is presented;Secondly,in order to improve the intelligent level of cleaning robot,a vision control system based on image sensor OV9715 as the image acquisition unit and LPC4300 as image processor is proposed;Then,aiming at the problem of image recognition in the cleaning process,an image recognition method based on HSI color space is proposed;Finally,the man-machine interface of the cleaning robot is designed.The test results show that the control system of the cleaning robot has the advantages of simple operation,flexible control and real time strong and so on,has a good application prospect.

At present,with the development of the warehousing and logistics industry,workers are very hard when they repeated handle heavy goods.In order to reduce the burden on workers,improve the automation level of the warehousing and logistics industry,raise working efficiency,designed the four-coordinated axes truss manipulator,which can carry heavy boxes instead of workers.The equipment provides users with two operating modes——solo mode and on-line mode.The cores of the control system are industrial computer and Programmable Multi-Axes Controller (PMAC),which was used for four-coordinated axes.The actuator is YASKAWA servo motor with absolute pulse coder,which can move precisely.

Vehicle Autonomous Emergency Braking (AEB) system is a part of vehicle active safety.It can improve vehicle’s ability to deal with potential collision risk during vehicle driving.If a potential safety hazard appears in front of the vehicle,the system will assist the driver to brake in order to avoid the collision accident when the driver does not take the brake measures or the pressure of the brake wheel is too small to avoid the collision.In order to stop the vehicle,a fixed main cylinder pressure is often used to slow down the vehicle now,the safety of the car is not guaranteed when the pressure is too small;and the braking pressure sharp rising will greatly reduce the ride comfort when the brake pressure is too large.In order to improve the driving comfort of the Autonomous Emergency Braking system under the premise of ensuring the safety of the vehicle brake,analyzes the working process of the Autonomous Emergency Braking system of the vehicle,and proposes the fuzzy control strategy.The strategy take the safe driving distance of the two vehicles as control goal,the relative speed and distance of the two-vehicle are inputs,and the master cylinder brake pressure is the output.In this regard,an emergency braking system model is established in the form of joint simulation between Simulink software and Carsim software,and the safety of emergency braking system and the comfort of automobile emergency braking are simulated and analyzed.The results show that the Automobile Emergency Braking (AEB) system under the fuzzy control can improve the ride comfort when the braking while ensure the safety of the vehicle.

Based on a SUV model,the occupant restraint system model of lateral frontal impact HybirdⅢ dummy and THUMS body was established.The mechanical properties of the model were analyzed,at the same time the simulation results were compared with experimental results,they are in good agreement which indicates the reliability of the model.Using this model,the movement and damage of HybirdⅢ dummy and THUMS body were analyzed.The results show that the airbags and seatbelts matched against HybirdⅢ are no longer applicable to the THUMS.THUMS can be intuitional and comprehensive for the body injury and have a greater advantage than Hybird Ⅲ.

Evacuated tube train was proposed to eliminate the huge aerodynamic drag of high speed train.As a new transportation with super-high speed on the ground,evacuated tube train has broad prospects for development and application.The hybrid suspension system for evacuated tube train is studied,to avoid the short of single EDS or EMS,a hybrid suspension structure,consisting of permanent magnet electrodynamic suspension and electromagnetic suspension,is designed.The structure is calculated and simulated using Ansoft Maxwell.According to the result,this hybrid suspension system can lower the liftoff velocity effectively,decrease the drag force and power loss,while increasing the ratio of lifting force and drag force,thus is more suitable for evacuated tube train.

The nonlinear damping characteristics of Magnetorheological Damper (MRD) were expressed with the proposed adjustable sigmoid model to simulate its mechanical experimental results,and a quarter-car model with MRD was also established.Based on the hybrid damping control strategy,a Hybrid damping Fuzzy current Control (HFC) strategy was proposed by using fuzzy controller,which realizes the continuous adjustment of the equivalent damping coefficient of MRD and the automatic regulating for the damping distribution coefficient,so that it could have a better flexibility and adaptability.On the basis of the above,numerical simulations for the proposed algorithm,Hybrid damping On-off current Control (HOOC) and passive control strategy were investigated to demonstrate the effectiveness of the proposed approaches under the bump road and random road excitation.The results show that the proposed control strategy has a better damping performance.

Based on the cylindrical surface parametric equation,an arbitrary space plane coordinate system and the parametric equations for any cylindrical surface and provide a composite spiral path feed processing methods.After the experimental study,the use of EDM electrodes circular helix trajectory and the bottom side got the same space as cylindrical surface roughness.Shorten the processing time and improve processing accuracy,the EDM space cylindrical surface provides an effective method.

The current use of the Internal Combustion Sleeper Bolt Wrench(ICSBW) without real-time tightening torque display is difficult to meet the accuracy and efficiency requirements when sleeper bolts fastening.Thus,the conventional ICSBW is digitized by increasing the torque measurement and display functions.In the added torque measuring device,the pressure of the compression spring in the safety clutch is measured using a resistance strain pressure sensor;the safety clutch model is simplified and analyzed to determine the linear relationship between the spring pressure and the tightening torque;the linear regression equation between the spring pressure and the tightening torque is established by analyzing the digitalized ICSBW experiment data with SPSS software.The correctness of theoretical analysis and the feasibility of the program are testified by comparing the ratio obtained between the theoretical and experimental analysis.The cost of the digitalization of ICSBW is low and the working efficiency and precision are greatly improved with the use of the digitalized ICSBW.

The cemented carbide tool wear and failure monitoring in heavy-duty cutting process is so serious,the state of cutting tool has important practical significance to ensure the quality of processing,reduce the production cost and improve the production efficiency.So the monitoring condition of tool wear is particularly important.A summary of the monitoring signals for tool wear and failure monitoring in metal cutting that have been tested and reported in the literature was presented.The intelligent tool monitoring system is analyzed in detail.By comparing the advantages and disadvantages of various methods,the hybrid intelligent multi-sensor information fusion technology will be the main direction of the future development of intelligent tool wear monitoring technology.The existing problems of tool wear monitoring system are summarized,and the corresponding solutions are put forward.By drawing on the common cutting tool grinding and damage monitoring technology,the tool wear and damage intelligent monitoring methods are introduced in the heavy cutting process,which solves the problem that the former heavy cutting needs to replace the tool blade frequently in advance to ensure the quality of the workpiece.It has important application value and development prospects in heavy-duty cutting field.

Based on compliance method of the fracture mechanics,the reason of error in the Single Edged Bending (SEB) specimen fracture toughness testing had been researched.The results indicate that the modulus of elasticity is a important parameter to calculate the initialization crack length.The linearity of F-V decision the calculate precision in the test.There have a different between the compliance method and direct reading method.

In order to identify the way how the magnetic memory signals of ferromagnetic materials change during the fatigue process and to make quantitative assessment of fatigue damage,an axial tensile fatigue test with holed-cracked Q235 plate specimen as objects is designed.It goes like this:The magnetic memory signals can be collected steadily with the aid of three dimensional motion stage,and the noises accompanying are reduced by a multi-scale analysis tool of wavelet transform signal.Then such magnetic signals are decomposed and reconstructed with wavelet packet to extract the wavelet packet energy,singularity indexes,maximum gradient values Extraction and characteristics.Therefore,how the relative energy distributes in bands can be detected and how the singularity indexes change is also discovered.The obtained wavelet packet energy,singularity indexes and signal gradient value are combined as multi-characteristic vectors,serving to assess fatigue damage.The results indicate that the wavelet packet energy,singularity indexes and maximum gradient values Extraction change obviously amid the fatigue damage process.Such energy is ever increasing in the lower frequency band and decreasing in the higher.Total energy distribution starts shifting to focus on the lower one.Meanwhile,singularity indexes begin to decrease,yet the gradient peak values in different stages increase.With these multi-characteristic vectors that can make up the inherent deficiency of single characteristic adopted previously,the result promises to provide technique support for evaluating the fatigue damage of metal components.

Parametric modeling method of reverse engineering is the important direction.Through the analysis of the current method of reverse parametric modeling,propose the product model design based on reverse modeling elements.Combining function analysis and morphological analysis,used to extract the modeling element and establish a modeling method based on the function-form-parameter model,and introduces the advantages of this modeling method and its general process.At the same time,to reverse the parameterized modeling software Geomagic Design X as a platform,through the typical case of parameterized modeling of medical instruments verifies the advantages of the presented modeling method.For individual medical instrument reverse modeling provides a more effective method of modeling.

With an aim to deal with the difficulty of charging the public electric bicycles,puts forward a wireless charging system scheme based on solar power supply.The main functions and components of the system are introduced;the hardware designs of the system such as the resonant circuit,the high frequency inverter circuit,the rectifier filter circuit and the voltage booster circuit are described in detail;the software design flow of the system is proposed,and the variation curve of the input and output power and the efficiency with the transmission distance is verified by experiments,all of which are of great reference value to current research on wireless power transmission.

The hacksawing machine has mainly some shortcomings such as low cutting efficiency,low cutting accuracy and great worker’s labor intensity.The automatic feeding device was designed based on hacksawing machine.It has many advantages such as air clamping work,back-up roll supporting work and auto-conveying by stepping motor.The integral structure of automatic feeding was designed,main component was selected.The finite element analysis was adopted to horizontal clamping mechanism,and the rationalization of structural design is validated,then,physical prototype was finished.The feeding result of automatic feeding device met expectations after the tune-up.The design and application of automatic feeding device would also be an important reference value and practical significance for transforming waste equipment.

In order to study the abnormal valve clearance fault diagnosis method,by the simulation and experiment study,the core components of the gas distribution has been modeled in ADAMS,and the dynamic behaviors with different valve clearance has been simulated,in order to study the fault mechanism and the sensitive feature.Based on Teager energy operator,the accurate method to extract the sensitive feature from the actual vibration signal has been explored.This fault has been simulated in the TBD234 combustion engine test stand,vibration signal acquired.With the increasing of clearance,the phase of valve opening holds off,the phase of shutting is ahead of time,and the amplitude increases,which verifies the sensitivity of fault feature and effectiveness of the diagnosis method.

Finite element analysis software is used to simulate the single Helmholtz resonator,the differences between theoretical value of lumped parameter model and simulation value are contrasted,the influence of resonant cavity aspect ratio on resonant frequency is analyzed.Since the resonant frequency band of a single resonator is very narrow,the resonant frequency band can be widened by the geometric structure of the cavity series and parallel.The periodic Helmholtz resonator consisting of one-dimesional analysis of metamaterials,confirmed that this kind of structure has good performance of low frequency noise reduction.

Comprehensively applying the road load spectra on proving ground,rigid-flexible coupled multi-body dynamics model and road simulation virtual iteration,the effective prediction on the fatigue life and the modification design of motorcycle frame in the structural design stage of motorcycle development are achieved in this paper.A frame fatigue life analysis method combing road simulation test with CAE technique is pro-posed.Using the road simulator of multi-channel test stand,taking the load spectrum for initial input,through the force-displacement coupled system,the closed real road excitation equivalent input signal is obtained by iteration.A fatigue analysis model of the motorcycle frame is built,which is based on the modal stress recovery technique and fatigue damage cumulative theory,taking the equivalent real road excitation as simulation input signal,the fatigue damage and life of the motorcycle frame are evaluated.