Research And Implementation Of Key Technologies For Rapid Design Based On Product Platform

With the development of the society and the scientific technology, the enterprises arefacing increased competition from the market. The customers' requirements, such asproducts lead time, products cost, products quality and individuation, are higher and higher.Mass customization (MC), combining product customization and batch production, cansatisfy customers' individuation with low cost and high quality of products. Design formass customization (DFMC) is one of the key technologies of MC.Product configuration design based on the product platform (PP) is the primarymethod and the research focus of MC. The process of the rapid product configurationdesign based on the PP is studied in detail in this paper. The technologies include: modulepartition, PP establishment and evaluation, product configuration methods, variant designplanning and rapid structure optimization. The main research contents in this paper are asfollows:Firstly, module generation and partition methods for product configuration are studied.After analyzing customer demands and the correlativity of parts, the fuzzy similaritymatrix and fuzzy cluster tree are constructed to illustrate the process of module generationin product configuration. Then, the module partition method with three optimizationobjects(module assembly complexity, design complexity and cost) based on the fuzzycluster tree intercepted by combinedλis put forward. Using GA to optimizeλvalue ofeach module to achieve the optimization module partition. The method considers not onlythe correlativity of parts, but also the target of the module partition. The example ofastronomical dome module partition shows the method in this paper is feasible andapplicable.Secondly, the methods of PP establishment and evaluation are researched based onmodel generation and partition. The quantization criterion and computation algorithm ofmodule universality are put forward. Based on combinedλfuzzy cluster tree, the modelsare clustered aiming at module universality optimization. The PP evaluation system isestablished. Based on the proposed evaluation system, the relation between modelscommonality and each evaluation index are analyzed, and the PP is optimized by two-stepoptimization method. The model for product configuration design is built on the basis ofthe optimized PP. According to the customer requirements, the Multi-Objective Optimization (MO) model is built regarding capability and cost as optimization targets.With the optimization model, the configuration and choice of product scheme is completedby using PGA.Thirdly, variant design, which is the key technology of product configuration becauseof the diversity and coupling of the design parameters resulting in iterative variant designprocess, are studied. The variant design path planning by using Design Structure Matrix(DSM) is put forward to reduce the iterative times, the design risk, and increase the singlesuccess ratio. In this paper, after analyzing the necessity of the variant design path planningand the shortcoming of the traditional DSM, the extended DSM with dynamic DSM andstatic DSM is put forward to plan the variant design path.After the analyses of the shortcoming of the variantional design and optimizationbased on the FEA, the rapid analysis and optimization strategy using BP artificial neuralnetwork and Genetic Algorithms (GA) is put forward. The two optimization methods iscontrasted by an example, and the results show the methods in this paper is much moreeffective and controllable than that of the FEA.Finally, the Rapid Design System of Astronomical telescope of the project in NanjingAstronomical Instruments Co., Ltd was developed based on SolidWorks. The system wasapplied in some telescope design. The result shows that the system is valuable.