One of the significant tasks of conceptual design is to search for feasible principle solutions for an intended function.In the research of computer aided conceptual design,in order for a computer-aided conceptual design system to assist designers in retrieving feasible principle solutions effectively and accurately,the function of a known principle solution usually should be represented with a structured form.A functional action is an important part of a functional representation.In current research,functional actions are usually represented with natural language-based descriptions,which are difficult for a computer-aided conceptual design system to identify and process.In order to solve the above problems,based on the explanation and definition of transitive verbs in the Chinese dictionary,functional actions which related to the conceptual design were collected and normalized.According to the substantive characteristics of functional actions,the standard taxonomy framework and the specific taxonomy framework of functional actions were put forward,and a preliminary structured functional action library was formed.In order to realize the normalized management of functional actions,a management module was developed.The normalized functional actions can provide a solid foundation for the normalization of functional representation,the accurate retrieval of the principle solution and other research.

Tower as an important component of wind turbine structure system supports the quality of the upper structure, bears the dynamic load, and ensures the normal operation of wind turbine. Analysis of the tower structure was summarized to improve the design theory system of wind turbine structure. From the practical point of view, the key points, such as the selection of structure, static and dynamic characteristics, buckling characteristic and fatigue property were summarized based on the core of stiffness, strength, stability and anti-fatigue performance of wind turbine tower. Domestic and foreign achievements in different research stages of various fields were reviewed. At the same time, the research progress of hot spot issues designs, such as new type tower structure, random load dynamic analysis and nonlinear analysis of buckling and fatigue characteristic were introduced. After summarizing the research status of the above points, the principles and developing progress of related technologies were elaborated and the future research trend were predicted. The paper covers the main indexs of the wind turbine tower structure design and can provide guidance for the design and analysis of wind turbine tower.

According to the study in disc cams with translating flat-faced follower, the paper showed the organization's form, basic dimension, accurate description and basic steps for dimension synthesis. It also offered three constraint conditions and parsing expressions, then built the dimension area and constructing coordinate system O-r₀βe and area Ω(r₀,β,e) of dimension, as well as establishing mathematical model based on “Visualization in Scientific Computing”. Through single or merge visualization-oriented mapping with ergodic method,some comparable boundaries and solution domains were given. According to the multi-objective planning, several important rules such as “the optimal solution/solution interval/solution rendezvous” and the “non-inferior solution interval/solution domain” were presented. This paper also revealed the existence of optimal solution. All the consequences were instructive to the dimension synthesis of the mechanism with an effective general solution method, as well as establishing the theoretical foundation for the selection of basic size and engineering design of the mechanism.

It is of great practical importance to try to achieve design innovation by combining functions of existing products. By investigating the relationship between individual functions of some typical mechanical products with function combination, this paper proposed a concept called function theme chain, which was used to construct combination function from different products, and hence the function theme chain was used to establish the foundation of combination design. Subsequently, an innovative combination design method was proposed based on a function ontology. By using the knowledge library of function ontology, it attempted to extract same or similar function semantics from diverse products, together with their matching components, which offered the starting point for combination design. Specifically, the design process applied function to structure mapping to implement the synthesis from function to structure; thereafter, the combination design was implemented by configuration of structure model with the relevant design knowledge and designer practical experience, so as to deliver new innovative combination model that met social and technical requirements. Finally, a case study was also presented to illustrate the feasibility of the proposed methodology.

In the modeling of system reliability, the lifetime and repair time of units are usually assumed to follow exponential distribution or other typical distributions.These models have many constraint conditions, and the applicability of models is not extensive.Therefore, Phase-type distribution was utilized to modeling, parallel repairable system consisting of two dissimilar units and a single repair facility in which the lifetime and repair time of units were assumed to obey different PH distributions was investigated.An analytic reliability model that was more appropriate to characterize the real situation was provided.Some important reliability features, such as the system stationary availability, mean time to first failure and stationary fault frequency, were obtained for certain.Finally, the validity and applicability of the model were verified by numerical applications.

In order to meet user's demand for a variety of product forms, a new styling design method applied the cellular genetic algorithm and the standard genetic algorithm was presented, which was simulating design thinking characteristic of designers. Firstly, some representative product samples were chosen from the collected samples through clustering analysis, designer focusing analysis and so on. The product styling elements and the quantitative description parameters could be obtained by morphological analysis. Then, setting the representative sample as the initial population, the initial styling design system was built based on the cellular genetic algorithm, which could simulate the design thinking. The intelligent design process was realized, which would generate a large number of innovative solutions with a small original population. Finally, a refining design system was established using the standard genetic algorithm. The conceptual schemes were optimized further and the refinement intelligent design process was realized quickly. The case of cartoon face design showed that this method could effectively support innovation design.

In the traditional computer aided driller control room layout design, interactive input and modification are usually adopted, but the whole layout design process supported by the global optimization idea is not involved.So, genetic algorithm and ant colony algorithm were introduced into the driller control room layout design.According to the human cognitive characteristics, the layout principles were summarized, and the corresponding mathematical model was established, the layout principles were taken as the objective function variables to affect the process of layout optimization.From the perspective of industrial design, the expression forms of fitness function, pheromone and heuristic information were studied for the layout optimization of manipulators' geometric position of driller control room, the process was established that genetic-ant colony algorithm was applied to the layout optimization design of manipulators of driller control room.Taking the layout design of manipulators of a certain type rig's console as an example, the authors carried out multi-objective optimization calculation.This method realizes the quantification of layout principles and combines with algorithm, which will improve the efficiency of design.

In order to investigate the growth mechanism of sealing labyrinth crack, the propagation process, which started from the tooth tip and stops when the crack was about to penetrate through the labyrinth seal ring, was numerically simulated. The finite element model of the turbine disc with a sealing labyrinth crack was established using submodeling method, and the stress intensity factors along the crack front were calculated with M integral. After determining the local direction and extension distance of each node along the sealing labyrinth crack front, the new crack front was fitted with spline curve, and then self-adaption mesh generation was used for updating the finite elements in the vicinity of the crack. The results of numerical simulation indicated that the top of the root fillet could be regarded as the demarcation point between the slow crack-growth stage and the fast crack-growth stage. The sealing labyrinth crack grew with a low velocity as a penetrating crack before the demarcation point, and it began to transfer to a surface crack with a much higher average velocity after the demarcation point. The crack growth life before the demarcation point was several times longer than the life after the demarcation point. From the results of numerical simulation,it can also be concluded that both increasing the radius of root fillet and reducing the space between adjacent sealing labyrinths are helpful for resisting the growth of the sealing labyrinth crack.

To solve the fatigue break phenomenon on the middle part of sliding framework of coal planer happened during the working process, the 3-DOF crash dynamic model of plough was established based on the Winkler model by combining theory and experiment together. Test criterion of contact-impact between plow head and sliding framework was established by the collision detection method of the arithmetic of the distance between a point and a line. The maximum impact forces of plow head and sliding framework on each point were obtained by numerical methods,and were used as the load of fatigue test. The fatigue test of middle trough sliding framework was executed. Fatigue life of sliding framework was obtained. The results showed that initial crack appeared at the forepart of standing plate when sliding framework was under the maximum impact force and the failure point tended to appear at the bottom of standing plate when static strength became invalid. The results provide theoretical basis for the improvement of fatigue strength of sliding framework.

It is the premise of the impact pile driver structural design that the impact phenomenon is understood thoroughly and analyzed scientifically. The dynamic characteristic analysis of impact pile diver is a complex dynamic problem involving geometric large deformation, material nonlinear and contact nonlinear. It is difficult to describe dynamic response of the system structure and interactions on the pile-soil using stress wave analysis method. The finite element model of the whole system of impact pile driver-pile-soil considering soil deformation was established using the ALE fluid-structure coupling algorithm based on ANSYS/LS-DYNA. The impact pile driver experimental test platform was built to get the stress wave time history curve of key points. The test curve verified the correctness of the finite element model. According to the stress distribution patterns of impact hammer, transmission box and pull rod, the stress conditions of the key components were analyzed and some suggestions for the construction design were put forward. The bearing capacity of precast pile bottom was discussed under different soil bulk modulus. These results provide theoretical basis for new structural design and applicable environment selection of impact pile driver.

Owing to the defects of traditional spiral method to solve Jacobian matrix of parallel mechanism,a micro-displacement method was put forward based on micro-motion analysis of 3-RPS parallel mechanism.The method could avoid the problem of transcendental equation group in the solving process,and the Jacobian matrix acquired was a non singular matrix.At the same time,aiming at the low trajectory tracking precision of conventional controller of parallel mechanism,the sliding model controller (SMC) was designed by the dynamic equation of 3-RPS parallel mechanism and proportional switching control law.Firstly,the MATLAB/SimMechanics simulation analysis model of 3-RPS parallel mechanism was presented and the Jacobian matrix of 3-RPS parallel manipulator was solved by micro-displacement method,which was the theoretical reference value for control system.Secondly,the SMC controller was designed,then the stability of SMC controller was proven based on the Lyapunov function.Finally,the MATLAB/Simulink model of PID controller and SMC controller were respectively established,and the simulation analysis and comparison were performed.The results show that the SMC controller has higher trajectory tracking precision,smaller steady-state error,faster response speed and better robustness than that of PID controller,so the effectiveness of SMC controller is verified.

In view of the poor screening efficiency of vibrating screens and the incomplete screening theory, a comprehensive mathematical model is need to be established to guide the design of vibrating screens. Screening simulation experiment based on the Discrete Element Method was applied to solve problems like the complexity of screening process and the difficulty to obtain the screening data, and its validity was verified by an experimental prototype with adjustable parameters. In principle, the mathematical relationship between screening efficiency and parameters was a complex non-linear problem, instead of being limited to low precision as the traditional regression algorithm was, the nonlinear regression model of vibration screen with designing the sample space of operation parameters and screen configurations based on Simple Multiple Kernel Learning was introduced. Considering multi-extremum, large-scale, and non-differentiable of this computational model, the artificial fish-swarm algorithm with strong robustness and global convergence was applied to parameters optimization. Finally, the optimal vibration parameters were as follows: vibration amplitude was 2.5 mm, frequency was 22 Hz, vibration direction angle was 50°, screen panel square hole dimensions was 0.9 mm, wire diameter was 0.45 mm, inclination was 21.6°. In summary, this methodology could be applied to the research of vibrating screen. Additionally, authors of the scheme are confident that the results will be useful to improve the design and manufacture of vibrating screen.

The diversity of piping systems and complexity of constrains in layout space lead to the low efficiency of ship pipe design. A new pipe route planning method was proposed to improve the design efficiency and reduce human errors. Based on the simplified layout space, the mathematical model was firstly built by the discretization of the layout space and the specific energy value which was given to the spatial network. Based on the constructed mathematical model, the improved maze algorithm and genetic algorithm were then combined together to conduct pipe route planning. The concept of auxiliary point was introduced to improve the maze searching performance, which guaranteed the diversity of initial population and enhanced the global search ability of genetic algorithm. A fixed-length coding method was also proposed to simplify the difficulty in handling the pipe chromosomes and improve the performance of algorithm. The direction oriented strategy was applied in maze retracing process to design the genetic operators with fixed-length chromosomes, which not only guaranteed the quality of children chromosomes but also improved the convergence speed of the algorithm. The simulation results verify the feasibility and effectiveness of this approach, and prove the guiding significance of the approach to actual ship pipe route planning.

Aiming at path planning problem of AGV accessing cars, the dynamic adaptive hybrid algorithm was proposed by combining particle swarm optimization (PSO) with genetic algorithm (GA). Based on the standard PSO and GA, inertia weight coefficient, learning factor and the formula of crossover and mutation probability were optimized and improved with the dynamic adaptive adjustment strategy. In the initial stage of algorithm evolution, the dynamic linkage relation built between inertia weight coefficient and learning factor were utilized to deal with real-time updates of particle's velocity and position. In the later stage of evolution, in order to strengthen global search ability of hybrid algorithm and improve evolution speed and convergence precision of the algorithm, crossover and mutation operators of adaptive genetic algorithm (AGA) were introduced. Finally, MATLAB was used to verify the feasibility and effectiveness of hybrid algorithm. The simulation results showed the global search ability and convergence performance of hybrid algorithm were optimal by being compared with tabu search algorithm (TSA), ant colony algorithm (ACO) and GA. The conclusion indicates that the hybrid algorithm is feasible and effective.