针对轮毂轴承单体密封试验环境中泥浆配比的准确性问题,对轮毂轴承单体密封试验机泥浆输入管道内泥浆颗粒沉积量进行了实验研究.提出了试验机泥浆输送系统中泥浆输入管道内泥浆颗粒沉积量的测量方法,测量了试验机泥浆输送系统管道内的泥浆流量和不同流量下泥浆输入管道内的泥浆颗粒沉积量,通过拟合的方法得到了泥浆沉积量与流量之间的关系.研究结果表明:随着泥浆流量的增加,泥浆输入管道内的泥浆颗粒沉积量总体呈减少趋势,当泥浆流量达到一定量时,减小的趋势变缓;确保轮毂轴承单体密封试验泥浆配比准确性的试验机最小泥浆流量为425.8 ml/s.

本文通过分析当前《机械制造技术基础》课程教学存在的问题,基于OBE理念提出了课程改革的基本思路,并引入"机械制造虚拟加工综合实验"为教学主线,围绕该虚拟仿真实验的实施将教学活动的实施分解为三个方面:教师课程教学环节、学生自主设计环节与虚拟实验验证环节,并探索了基于能力达成度的新型考核方式.

The research of mud mixing process is the key technology of mud mixing device design . Through the study of Two-Phase Flow finite element method and model ,in the property test of wheel hub bearing ,the numerical simulation of mud mixing process is realized by using fluent software based on Eulerian model and Euler-Euler method .The concentration distribution and uniformity of mixing tank are studied ,by simulating the contours of mud particles distribution . Furthermore ,the basic requirements of functional design in the mud mixing device are put forward ,and the problems of complete suspension and the setting of mud particles outlet in the mixing tank are studied .Related techniques have been used to guide the design of mud mixing device .

伴随现代智能设计与计算机控制技术的飞速发展，复杂轻工装备设计与制造面临前所未有的机遇与挑战。复杂轻工机电装备设计与制造过程是一个不断化解设计矛盾、反复协调多设计目标与约束、变对立设计为共存设计的复杂演化过程。本项目首创可拓工程设计方法，解决复杂装备设计冲突与协调技术难题。以特种缝制设备、多层布料/鞋革高速数控裁床、大型螺杆机等为对象，深入研究关键共性技术：集成化制造的低碳设计冲突协调及其知识演化方法、高层数控裁割装备的智能控制技术、复杂加工装备的软硬件协调控制系统与视觉伺服控制方法等，不断提升轻工装备集成化制造核心技术水平，提高新产品创新能力和水平，降低开发成本，缩短开发周期，增强企业的综合竞争力。

In order to solve the separation in the traditional serial production planning and scheduling in mixed model assembly line, the integrated optimization complete model of production planning and scheduling based on multiple objectives and constraints was constructed. Since the integrated optimization complete model is difficult to solve, the heuristic approach was adopt, and the modified discrete particle swarm optimization(MDPSO) was presented to solve the model. The experiments verifies the presented model and algorithm can realize the simultaneously optimization of production planning and scheduling in mixed model assembly line and contribute to performance improvement and the application scope expand of the new intelligent optimization.

According to urgent need for high speed leather cutting machine,three-ring PID control strategy of servo system is proposed,the mathematical model of servo feed system is built and the simulation block diagram of control system is created based on Simulink.Settle time and ISE performance index are taken as optimal objectives,overshoot and the peak value of controller's output are taken as constraints,to build muli-objective optimization model of speed PI controller.In iSIGHT environment,NSGA-II is chosen to solve the optimization problem,and to get optimal solution according to the sorting of Pareto optimal solution set.The optimization result is compared with traditional genetic algorithm,showing that the dynamic characteristics are more superior by multi-objective optimization method.It has engineering practical value for further improving the leather cutting speed.

针对皮革数控裁剪机真空吸附中风机恒速运转存在较大能耗浪费的问题,提出了基于变频控制的真空腔内压实时控制策略。设计了模糊神经网络控制器,根据裁割压力需要,实时改变风机转速,实现对真空腔内压强的实时控制。使用MATLAB语言设计控制器,在SIMULINK上对裁剪机真空吸附控制系统进行仿真,结果表明模糊神经网络控制器能较好完成裁剪机真空吸附控制任务。

The manufacturing capacity-oriented manufacturing resource model of multistage manufacturing system was presented to achieve the manufacturing resource sharing among the enterprises. This model abstracted various resources as capacity manufacturing unit to accommodate the manufacturing resource sharing. The manufacturing process extraction and graphical description methods based on resource were put forward, which solved the disjointedness problem between resource model and application through related information integration. This model achieves effective equipment state monitoring, personnel configuration and product man-hour tracking in the enterprise and realizes the manufacturing resource sharing based on manufacturing capacity in networked manufacturing environment, so that to make the capacity of enterprises clear and maximum.

To solve the basic man-hour data scarcity and improve the man-hour estimation accuracy in the manufacturing enterprises,aiming at a kind of key equipment in the metal machining,namely,the multi-station metal machining production line,the study on its man-hour estimation is presented.The characteristics of the production line were analyzed and the corresponding man-hour estimation models were established.The presented models fully took the practical production situation,manual time and parallel time between man and machine into account and made the product man-hour more accurate and feasible.A primitive decomposition method for overcoming the difficulty in estimating the manual time was presented,the definitions and decomposition rules were proposed,and the familiar primitive operations of motorcar metal machining were defined and analyzed.The presented models simplify the man-hour estimating process,realize the rapid and accurate man-hour calculation.Finally,a case study of a motorcar manufacturing company verifies the feasibility and effectiveness of the presented man-hour estimation system.

The paper's focus is on the module division dynamically in the virtual assembly sequencing process for the product family, which will affect the module variant quality seriously. Most research merely divides the module on their functions, without paying the attention on which the module division is beneficial for the latter assembly process. Considered assembly relationships as a key constraint, a new variant module division measure based on Extension Logic is presented. Since the tolerances existing everywhere in the assembly process, the connection analysis is employed to build a constraint function on the tolerance. Physical constraints contain mating and combination constraints. After the dynamical position for different parts, the mating constraint is defined as the movement opposition between two mechanical elements including face alignment mating, shaft and hole mating or face against mating, Then the extension radiation model could be generated. According the average value of the relationship function to realize the module division, the product structure is divided into several sub-assemblies. As the main problem in virtual assembly is process collisions, a modified integer coded Particle Swarm Optimization Algorithm is used. Here every part is mapped to corresponding particle. The result is performed in the virtual environment of software DELMIA. At last the extension cluster method in this paper is compared with the direct dynamic cluster method. A case study is performed on virtual assembly of high power Light Emitting Diodes automatic sorting machine manufactured by a factory.

Production sequencing is a key problem for mixed model assembly line, and is a sequencing problem in discrete space which the original particle swarm optimization(PSO) can't be used directly.A modified discrete particle swarm optimization(MDPSO) algorithm was proposed to solve the mixed model assembly line sequencing problem in discrete space.The encoding method suited for discrete code was proposed to avoid the unfeasible sequence and improve the efficiency.A dynamic parameter method and self-adaptive escape scheme were introduced to enhance the diversity of particles.A set of appropriate parameters for algorithm were achieved by analyzing the effect on objective functions caused by adjustment of assembly line parameters.An extensive comparison between the basic DPSO(BDPSO) and MDPSO shows that MDPSO algorithm can be applied in discrete sequencing problem directly with nicer performance, and is an effective sequencing method for mixed model assembly lines.The performance comparison between MDPSO and Genetic Algorithm(GA) reveals the advantage of MDPSO in mixed model assembly line sequencing.

In order to achieve the manufacturing resource sharing inside and outside the enterprise in the multistage manufacturing system, the multidimensional manufacturing resource concept model was presented from two aspects. The manufacturing resource application integration model faced application systems and the capacity manufacturing unit model faced manufacturing capacity were established respectively. The structure and modeling method of multidimensional manufacturing resource model based on meta-model was presented. The meta-model consisted of information layer, model layer and meta-model layer and unified the multidimensional model in the same model frame. Finally, the integration method of the model based on eXtensible Markup Language(XML) was established. The presented multi-dimensional manufacturing resource model can achieve the internal and exterior sharing in the networked manufacturing environment.

Based on virtual prototyping technology, dynamic simulation of PE-1 type ultra-precision double-sided polishing machine and its technologic parameter optimization was studied. Through the simulation of virtual prototype, which was built in ADAMS, the polishing process was analyzed. Firstly, the simulation of polishing process shows that the ratio of rotation and revolution angular speed is inversely proportional to input speed ratio of planetary system. Secondly, the simulation of movement route shows that points along the same radius have similar route style considering the same input speed ratio of planetary system. Thirdly, the optimization of material removal non-uniformity shows that the higher speed makes for higher removal quality, the speed of solar gear and gear ring is opposite when the optimum value reached. At last, the maximum removal rate was achieved on the condition of same press and speed of plate, and corresponding solar gear speed and gear ring speed were gained.

To solve the problems that basic man-hour data scarcity and avoid the difficulties in establishing man-hour, a man-hour calculation model for multi-stage manufacturing system based on primitive decomposition and Web Service is presented. The model consists of two modules. Aiming at a five-stage manufacturing system contained machine work, punching work, weld work, electrophoresis work and assembly work, the first module analyzed the characteristic of each manufacturing system, proposed the definition and decomposition rule of the primitive operation and founded the man-hour calculation model based on primitive decomposition. In order to use the relevant information about man-hour and provide decision-making and plan-making departments with the distributed man-hour data, the second module applied Web Service technique in the enterprise Intranet to achieve the information share in the enterprise. The presented model system simplifies the man-hour establishing process and provides an effective theory model which establishes the man-hour rapidly and accurately. Finally, the products man-hour establishing example in an enterprise shows the feasibility and the good performance of the presented model.

In view of the basic man-hour data scarcity in assembly task and the difficulties in establishing the data,a study was presented on the calculation of man-hour in assembly task based on primitive decomposition.A man-hour calculation model confirming with the practice of assembly task was proposed according to the characteristics of the process.Time components of manual task were analyzed and determined.Since the assembly task consists of manual operations mainly,a primitive operation decomposition method was presented to solve the difficulty in calculating the standard time in manual tasks.The definition of primitive operation and its decomposition rules were proposed.Common primitive operations of automobile assembly were defined and analyzed.The method was validated through the analysis of a set of assembly tasks and comparison with the former man-hour.The presented method simplifies the establishing process of man-hour and provided an excellent theory model for the quick,accurate establishment of basic man-hour.

The development of aeroengine needs the collaboration of many enterprises. In order to realize the share and optimization configuration of different enterprises’ design and manufacturing resources, a method of realizing product collaborative development based on grid service is proposed. In the method, the collaboration among enterprises is realized by grid service cell. The grid service cell is an encapsulated service agent which can provide certain design and manufacturing abilities through the network. Enterprises can release their grid service information in the portal and create their grid service cells, and then they become the grid service supplier. The customers use the grid service matching engine to search the suited grid services in the portal and use these services to accomplish the product development. Accordingly the method can realize the optimization configuration of different enterprises’ design and manufacturing resources. Therefore, a prototype system of networked collaborative development of aeroengine based on grid service is developed. In the system, an ontology of aeroengine networked collaborative development is proposed, and the models of grid service cell and grid service requirement are built. Aiming at the matching of the grid service, a matching method based on semantic is proposed; a mathematic model for grid service matching is created and the corresponding matching algorithm is presented. Finally, we validated the prototype system with the example of the collaborative development of an aeroengine part.

For the better and stronger information retrieval function, the sequence of search result queue and the correlation of query expression are the key problems that could be computed by similarity algorithm. A new method which is ontology-based weighted semantic tree similarity algorithm (OWSTS) is presented here. In this paper, the construction method of OWSTS and the implementation of similarity algorithm are introduced firstly. And an ontology-based information retrieval prototype system of mechanical products domain is developed secondly. Finally the relative accuracy of retrieval results by OWSTS and generally used cosine vector space based similarity algorithm (TF*IDF) are compared. The successful running of this system shows that OWSTS algorithm is feasible for information retrieval and the similarity algorithm makes the sequence of search result queue fit for userspsila semantic requirement.

Based on virtual assembly technology,assembly process problem of electric tools(take electric drill as an example) was researched.A product assembly structural model tree and every subassembly were gained on the basis of assembly level model.The two dimensional topological structure of electric drill was expressed according to mating graph.The assembly sequence was planned according to breadth-first search strategy.The assembly path was planned based on gradual algorithm from coarse scale to elaborate scale,namely box、half bounding box、3D solid modeling.At last,the whole assembly process was simulated based on DELMIA software.All of this provides a beautiful future on manufacturing electric drills.

To evaluate key clients comprehensively and objectively, a general comprehensive evaluation system of key clients is defined based on the analysis of the third party logistics enterprises. Then a formalized expression and basic element model of key client comprehensive evaluation problem is given. Furthermore, a key client comprehensive evaluation approach based on extension theory is presented. It adopts the optimal degree evaluation approach from the extension theory, which extends cantor set theory and fuzzy set theory in the semantics. The extension theory based comprehensive evaluation approach consists of three main steps. Firstly we need to determine the measuring weights using the AHP method; Secondly, we need to establish the dependent function, and calculate the qualification degree of each client using this formula, also we should normalize it. Thirdly, we calculate the optimal degree to evaluate the clients. The client with the highest optimal degree is the most important client for enterprise. This approach is implemented as computer program and integrated into the third party logistics intelligent information platform. Results show that the key client comprehensive evaluation approach is effective and efficient.

To deal with mass knowledge with contrary precondition in product family configuration planning more efficiently,a product family configuration planning model was proposed based on extension logic,which consisted of customer requirement acquisition,extension transforming and extension cluster to solve the problems of configuration requirement dynamical increase,configuration threshold value determination,and conflict-resolving.Firstly,the basic requirement elements for a series product were confirmed by conjugating analysis,and the mapping relationship between requirement and product family structure feature was constructed.Then by applying extension rule reasoning,a series of product could satisfy the customers' requirements were obtained from qualitative perspective.Secondly,the basic requirement element was transferred by transfer matrix,and it was output again by customer to calculate the tolerance with the initial basic requirement element.Then the transformation feasibility was determined by the configuration threshold value,which was gotten dynamically by improved genetic algorithm.Finally,the stable module and changeable module in product family were defined by using extension cluster and cluster graph.This method was applied in fridge configuration prototype system design.