With the development and evolution of consumer culture, product meaning becomes a more and more important factor for consumers to choose what to buy in similar products. In view of the existing research for opportunity identification confined to user needs or technology development or both of the two factors, combined with the designer's guiding effect for product design innovation, the process of product design innovation front end opportunity identification was established, which was based on three factors like the product meaning, technology development and customer needs. The process of opportunity identification was as follows, the first step was to divide the user group by some standards, and then studying the user group needs respectively, choosing the key product technologies and analyzing their status, and analyzing product meaning influencing factors, according to the factors metioned above to identify the target user group and the product design objective for the group, the second step was to classify and arrange the target group needs, the key product technologies' status and product meaning expressions as the clues of product design innovation opportunity, the third step was to transform the opportunity clues which were classified and arranged in the previous step into innovation opportunities by using a variety of innovative tools and innovative thinking integration, and at last according to the constrains of the innovation opportunities which were obtained by the group needs, the key product technologies' status and product meaning clues, incorporating with the corporate philosophy, fund allocation and transfer and other factors, to choose couple of opportunities to be the opportunity program, which might be more suitable for the enterprise development. Finally, the opportunity identification for product design innovation front end process is verified by the example of the nail gun. The process has achieved the design-driven, the market-driven and technology-driven opportunity recognition, and it meets customer demand, adapts to the technology development and expresses the meaning of product at the same time, which provides solution for evolutionary and upgrade of products.

With the development of the society and the times, traditional parametric design methods are witnessing a severe challenge due to the more and more complex physical systems. Thus, developing novel parametric analysis methods is very important for dealing with complex physical systems, refining useful parameters from numerous data, and proposing accurate prediction formulas. A spring slider system, a direct-current circuit system, a pipeline pressure drop system and a steady heat transfer model of flat plate system were described from the point of systemic parametric analysis method. Then, the key physical parameters in above four systems were summarized. Based on the comparative results, a novel systemic parametric design method, obstacle contained system (OCS) design method, was proposed. The OCS was made up of three elements:an obstacle element, a pass body element and a D-value element. With an abundant accurate data pole, the OCS design method could build the direct relationship of the obstacle element and the D-value element, which meant the simplification of the physical models and much easier to get relatively accurate results. Meanwhile, the design of pilot-control globe valve orifice was checked with both the OCS design method and the numerical simulation. The diameter of orifice on the valve core could influence the pressure difference and the maximum vapor rate inside pilot-control globe valves. Achieved by two different methods, the OCS design method and the numerical simulation, the results showed that the effects of orifice diameters on the pressure difference and the maximum vapor rate under different inlet velocities, were within 2% errors, which was reasonable and acceptable for the engineering application. In other words, the OCS design method was credible for parametric analysis. In future, the OCS design method has a broad application prospect to analyze various types of physical models especially in the era of big data.

The self-stabilization coefficient method of the frame structure of the goaf group is put forward, which provides the basis for the prevention and control of goaf instability. By constructing the model of self-stabilization of goaf-group frame structure, the typical displacement equations of the internal structure of goaf group were established. The calculation formulas of the self-stabilization coefficients of the pillar and the column were given based on the theory of rock strength, and the important factors α and β of pillar and column were introduced to identify the "short slab" unit gob. Taking a goaf group consisting of four middle sections of a large-scale metal mine as an example,under two operating conditions of blasting and non-blasting, the reasonableness of the self-stabilization coefficient method was discussed.Results indicated that the self-stabilization coefficient method could effectively identify the "short slab" unit gob of goaf group and reflect the relationship between the distribution of "short slab" unit gob and its location and depth. The reliability of the method is verified by the engineering examples and the displacement monitoring result, and a new and effective way for the screening of "short slab" unit gob of goaf group is provided by the self-stabilization coefficient method of the frame structure.

Soft actuators are made of soft materials, and can realize movement through bending, contraction and extension of the soft elastomer material. Soft actuators are the key parts to realize the movement of biomimetic soft robots. Development of proper soft actuator is the prerequisite of biomimetic soft robot study. In order to develop biomimetic soft actuators which can be applied to soft robot, the structure of multi-chamber biomimetic pneumatic soft actuator is designed based on the common soft actuators structures. The main structure of the soft actuator was made of silicon rubber, and the actuator was fabricated by way of 3D printed mold. The main structure of soft actuators were affixed a base or combined to get extending actuators, unidirectional bending actuators and bidirectional bending actuators, which could deform like soft bodied animals do. The characteristics of the three soft actuators were tested. Results showed that the extending actuator has 40% extension under pressure of 15 kPa, and the bending actuator has large deformation under the same pressure. Practice proves that the principles of the multi-chamber biomimetic pneumatic soft actuators are feasible and the fabrication of the actuators is easy. The soft actuators can be applied widely in soft robots and other related areas.

The blade is the key part of wind turbine, in order to solve the problems of slow vibration attenuation and large distortion of blade when the blade is subjected to gust or random wind, the piezoelectric material was embedded in the blade, and the variational method, Hamilton principle and shell theory were used. The electro-mechanical coupling dynamics model of wind turbine blade of composite shell was conducted, and the response characteristics of blade before and after applying the control voltage were calculated by using MATLAB software. According to the calculation results, the change of the displacement and angle of the blade with time and the suppression of the blade vibration by the control voltage under the wind load were analyzed. The results showed that the vibration of blade under gust wind or random wind attenuated slowly before applying voltage, but, when the control voltage was applied to piezoelectric material on the blade, the vibration of blade attenuated quickly because of the reverse piezoelectric effect of piezoelectric material, which could improve aeroelastic stability of the wind turbine blade great in extreme wind conditions. Therefore, the piezoelectric material can be used to suppress the vibration of blade under extreme wind load by using its converse piezoelectric effect and applying control voltage according to wind load so as to improve service life of wind turbine blade.

In order to provide an effective evaluation method for human-machine interface design, a multi-image evaluation method for human-machine interface based on Kansei engineering was proposed around the users' perceptual demand for human-machine interface. Firstly, the perceptual evaluation index system based on Kansei engineering was built. In the weight assignment of indexes, the grey correlation analysis was introduced into group analytic hierarchy process (AHP). The comprehensive weight was obtained through the improved group AHP. And thus, the disadvantage of excessive subjectivity of traditional AHP was resolved. Based on vagueness of perceptual evaluation, a comprehensive evaluation model based on intuitionistic fuzzy set and TOPSIS was given. The effectiveness and feasibility of the evaluation method were proved with the design schemes of human-machine interface for CNC machine tools. This method has certain reference significance for Kansei design and design evaluation of human-computer interface.

As a core component of the vibroseis, vibrator has a crucial impact on the vibrator output signal quality. In order to accurately understand the modal characteristics of the vibroseis vibrator and figure out the cause of the non-excitation modal, finite element model of vibrator-ground was developed based on the theory of finite element modal analysis, and the pre-stress modal analysis was carried out by using ANSYS Workbench software. Deformation of vibrator under pre-stress condition, the first six natural frequencies and vibration modes of vibrator were obtained. Finite element analysis showed that the main vibration modes of the vibrator within the actual operating bandwidth were swinging along the long axis and short axis of the baseplate and twisting centered about the piston. Experimental verification was conducted according to the finite element analysis results. The experimental result was consistent with the simulation analysis, which verified the correctness of finite element analysis. Studies show that resonance of vibrator results in non-excitation of swinging and twisting, which is one of the causes of distortion of the vibrator output signal. Research provides theoretical guidance for structural design and field work of vibrator.

To improve the accuracy of finite element model for nonisothermal stamping, a new method of parameter inverse based on adaptive SVR-ELM mixture surrogate model and quantum genetic algorithm was presented. Based on the finite element model for nonisothermal stamping of magnesium alloy, the SVR-ELM ensemble surrogate model was established between parameters of Johnson-Cook constitutive model and temperature of parts. The weight coefficient of ensemble surrogate was calculated by heuristic algorithm. Based on adaptive method, sample spaces and surrogate model could be updated by local optimal solution obtained during optimization process. The optimum constitutive parameters for nonisothermal stamping of magnesium alloy AZ31B would be obtained by using quantum genetic algorithm. Compared with single surrogate model, adaptive SVR-ELM mixture surrogate model had higher accuracy and inverse efficiency. Taking NUMISHEET2011 cross-shaped cup part as an example, optimal material constitutive parameters were obtained by inverse model. Compared with the inverse results of test data, the error of temperature was 0.39%, which showed that this method was effective. The results indicate that the finite element model established based on constitutive parameters obtained by SVR-ELM can predict forming parts more effectively in the actual production.

Aiming at the diversity and the flexibility of PDC (polycrystalline diamond compact) bit cutter design, a new reversal design method was put forward to improve the scientificity and efficiency of the PDC bit cutter design. The defective bit which cannot have ideal performance was used as the prototype bit. Second, the PDC bit cutter parameters were calculated based on the prototype bit. According to the PDC bit cutter parameters, the simulation model was used to analyze the reasonability of cutter parameters. For the results, according to the optimization model of wear rate and lateral force, the PDC bit cutter parameters were optimized. The research results show that the calculated parameters of cutters are accurate. Meanwhile, the optimized PDC bit has better performance. The reverse design and optimization methods provide a new design idea for the PDC bit customized design.

The sliding sleeve can't be opened and the fracturing operation can't work well for the serious erosion of cone surface of the ball seat for fracturing. The model of ball seat for fracturing was established and the causes of erosion were analyzed based on the theory of solid-liquid two-phase flow and erosion. The influences of erosion for ball seat were studied in displacement, particle concentration, particle size and viscosity of fracturing fluid by the method of controlling variables. Through the analysis, the erosion rate of the ball seat was increased with the increase of displacement and particle concentration of fracturing fluid. The erosion rate of the ball seat was decreased with the increase of particle diameter and viscosity of fracturing fluid. In order to reduce ball seat erosion, the erosion of different cone angle and the structure of the ball seat were analyzed, which indicated that the angle of 20°~30° was the most reasonable for cone surface of ball seat, and the erosion of ball seat was low with the cone surface of concave structure and double angle structure. It is expected that the results can be used to improve horizontal well ball staged fracturing technique and guide the fracturing operation.

In order to improve the performance of the cooling fan and air flow, combined with a domestic grader, a 3D model of the cooling fan was established, and the CFD numerical simulation method was used to analyze its performance in a virtual wind tunnel, whose results were compared with the experimental data. The original fan was redesigned with the variable circulation design method, and the same simulation method was used for the analysis on the new fan under the same boundary conditions. Based on the comparison between both simulation results, the influence of structural parameters on performance of cooling fan was analyzed, and the signal-to-noise ratio(SNR) under different combinations of structural parameters was analyzed with orthogonal test. The results showed that the maximum error between the experimental data and the simulation value of static pressure and static pressure efficiency for the original fan were 8.35% and 2.34%, respectively, which verified the correctness of the CFD simulation. Over the flow range, the static pressure and static pressure efficiency of the new fan were higher than that of the original one, which indicated the improve was effective. In the SNR analysis, the contribution rate of wheel hub to the comprehensive performance of cooling fan was 42.25%, and that of blade number, blade tip angle and front bend angle blade number were 35.98%, 11.07%, and 10.7%, respectively. The results can provide a reference for the design and improvement of cooling fans.

Circumferential rod fastening rotor is the core part of gas turbine, and fatigue damage is one of the main reason that cause the circumferential rod fastening rotor failure and performance degradation. The research object of fatigue damage is single component at present, so it is not accomplished to predict the whole fatigue damage with fatigue damage of single component. Taking the circumferential rod fastening rotor of a certain gas turbine as the study object, the total fatigue damage model of circumferential rod fastening rotor which considering fatigue damage of the rods of turbine and combustion chamber was built with the equivalent of contact effect between rotor and rod. And a dynamics model of circumferential rod fastening rotor considering interface contact effect was built. Then equivalent stiffness of the whole and parts was calculated with analytical model. Furthermore, fatigue damage modeling method of the whole circumferential rod fastening rotor was proposed with damage mechanics and finite element analysis to get the relation between the total damage and rupture life. The results showed that the relation between the total damage and rupture life was a complicated, non-linear course and non-linear relation between the whole damage and element damage was clearly reflected when multi-element damage considered. The results of this dissertation can be a support for structural design and life prediction of rod fastening rotor.

The dynamic characteristics of the bridge crane will directly affect the operation reliability, and the parameters of gear system have a great influence on the comprehensive performance. Therefore, the inner mechanism and variation law of dynamical characteristics of gear system under different parameters need to be studied in order to achieve the purpose of reducing vibration and noise of bridge crane. The integral finite element model of bridge crane with three-point support was built by ANSYS software. The internal dynamic excitations were imposed on the contact line of gear pair to analyze the vibration characteristics based on modal superposition method, then the structural noise was predicted. The feasibility of the simulation method was verified by comparing with the experimental result. With the constant central distance as well as the similar total transmission ratio, the dynamic characteristics and structural noise were calculated with different module, helix angle, bearing stiffness, structural damping ratio and operating load, then the variation law of root mean square (RMS) value of vibration acceleration, spectrum and structural noise were obtained. The study provides theoretical basis and reference for improvement of bridge crane parameters and design to low vibration and noise.

There are some problems, such as large inertia, strong hysteresis and nonlinearity, in the heating temperature of hot melt glue machine. And the conventional PID control is difficult to meet the temperature control requirements, a self-tuning optimization algorithm of PID controller based on CPSO-BP neural network is proposed. In the proposed algorithm, CPSO algorithm was used to optimize the initial weights and thresholds of BP neural network near the global minimum point, and then PID parameters were adjusted online by using the traditional BP neural network learning algorithm. The temperature control system was analyzed and simulated by MATLAB based on the designed CPSO-BP neural network-PID controller. Simulation results showed that it could control the temperature of the hot melt glue machine precisely, and had good adaptability and robustness. The temperature control system using CPSO-BP neural network-PID could reach the set temperature within 3.5 min, and the temperature control error was smaller than ±2.5℃. The CPSO-BP neural network-PID controller had been put into practical application of hot melt glue machine temperature control system as a control unit of embedded system. The application results show that the temperature control system has stable performance and precise temperature control, and it effectively realizes the automatic control of heating temperature of hot melt glue machine, which has good application and popularization value.

To study the mechanical property of hydraulic rods on shearer under complex working-conditions, an experimental platform used to analyse the mechanical properties of the isometric shearer was built. By the method of pressure ring sensors replacing shims, the real-time online detection of pull tension change of hydraulic rods on shearer under the different cutting condition was carried out, and the signal was transmitted online by wireless signal launcher. The results of the experiment indicated that the force was relevant to both hydraulic rod's location and shearer's working conditions, with the maximum tensile in the upper coal wall side and the most severe load fluctuation in the low goaf side, and that four groups of average traction force under the condition of oblique cutting, which provided important basis for the design optimization of hydraulic rods, were as follows:in the low and upper goaf side were 495.345 kN and 379.85 kN, and in the low and upper coal wall side were 493.294 kN and 539.33 kN. The research results provide an important basis for the optimization design of hydraulic pull rod.

Aiming at the problems of the low efficiency and the high strength when manual operation in loading and unloading of box-type hatching egg by the height of egg yard and the size of egg dish, the design of the automatic loading and unloading manipulator of egg vehicle is composed by lifting mechanism and scissor type combination mechanism with high difference, which is based on the geometrical and dynamic analysis through the process of loading and unloading in the egg tray. The egg tray of the crawling was completed by the rigid transmission mechanism in the scissor type combination mechanism, and the delivery of the egg tray was completed by the flexible transmission agencies. According to the maximum impact requirement of the eggs, the turn on and off control of the system was optimized by analyzing the dynamics of the eggs in the process of egg loading and unloading. The results showed that in the process of egg tray loading and unloading, the vertical positioning error was less than 1.6 mm, the horizontal positioning error was less than 0.5 mm, the loading and unloading success rate was 100%, the loading and unloading efficiency was 450/h, and the eggs were not damaged. The effective loading and unloading reference data are provided by this result, for the automatic loading and unloading device design of the egg tray, which promotes the automation of the incubation process.