On Adaptable Design of Auto Assembly Machine Product Platform for Small Shaft and Sleeve Subassemblies

2013 ◽  
Vol 589-590 ◽  
pp. 675-679
Author(s):  
Zi Qiang Zhang ◽  
Zhi Feng Deng ◽  
Run Dian Li

Aiming at there are multifarious small shaft and sleeve subassemblies, in which shape and quantity of parts are different, the adaptable design concept was applied to the design of auto assembly machine product platform for small shaft and sleeve subassemblies. According to the general structure design and the module partition for the product platform, a parameterized design method that the number of stations is the main parameter was proposed. And the parameterized product platform, which can be suitable for the automatic assembling of multifarious small shaft and sleeve subassemblies and can be upgraded, was founded. Thus, the universality of the product platform is improved, and the product design cycle is shortened.

2013 ◽  
Vol 589-590 ◽  
pp. 712-716
Author(s):  
Zi Qiang Zhang ◽  
Zhi Feng Deng ◽  
Run Dian Li

The auto assembly machine adaptable product platforms for small shaft and sleeve subassemblies are multi-stations parameterized product platform that use the number of stations as the main parameter. A parameterized design system for the product platforms is established, and the development process is introduced in detail in this paper. In using the system, only needs to input the main parameter, the design of the product platforms can be realized, 3D model drawings of parts, 3D assembly drawing and engineering drawings, which we need, can be generated quickly. Thus, the product design cycle is shortened, and the design efficiency is improved. With broad applications value, the way can be extended to the design of similar product platform.


2011 ◽  
Vol 697-698 ◽  
pp. 650-655 ◽  
Author(s):  
F.Y. Chen ◽  
G.W. Zhang

The rational and effective partition of the module has been the vital significance to the product design and manufacture. In this paper, a deficiency about the existing module partition can’t satisfy customer personalized is pointed out. Therefore, a method is put forward based on the design method of axiomatic, by analyzing the correlation among the parts, combining the dynamical clustering and mathematical statistic calculation to achieve the rough-to-fine division according to the principles of module partition. Finally, the based modules and the personalized modules are determined through the choice of based parameters and personalized parameters. The basic module and personalized module are integrated on a personalized product platform base on Internet. Customer can directly involved the product design by personalized product platform. The model was explained with example of the gantry grinding machine tool.


2010 ◽  
Vol 102-104 ◽  
pp. 22-26
Author(s):  
Zong Yan Wang ◽  
Shu Fang Wu ◽  
Long Liang Pang

To solve the problem such as large amounts of repeated designs and long design cycle in the traditional design process of crane, by analyzed the current variant design methods, a product-level variant design method was presented based on product configuration technology, parametric design technology and modular product design. The theory and the flow of variant design were explained in detail. A variant design platform for portal crane was developed. Based on making the best of enterprise resource, the product design efficiency was improved and the cost of the production reduced.


Author(s):  
Michael E. Stock ◽  
Robert B. Stone ◽  
Irem Y. Tumer

In today’s world it is more important than ever to quickly and accurately satisfy customer needs when launching a new product. It is equally important to design products that adequately accomplish their desired functions with a minimum amount of failures. When failure analysis and prevention are coupled with a product design from its conception, shorter design times and fewer redesigns are necessary to arrive at a final product design. In this article, we explore the potential of a novel design methodology to guide designers toward new designs or redesigns that avoid failures. The Elemental Function-Failure Design Method (EFDM) is based on functional similarity of the product being designed to failed products within a knowledge base. The idea of using component functionality to explore the failure space in design was first introduced as a function-failure analysis approach by Tumer and Stone (2003). The overall approach offers potential improvement over current failure analysis methods (FMEA, etc.), because it can be implemented hand in hand with other conceptual design steps and carried throughout a product’s design cycle. In this paper, this idea is formalized into a systematic methodology that is specifically tailored for use at the conceptual design stage before any physical design choices have been made, hence moving failure analysis earlier in the design cycle. In the following, formalized guidelines for using the EFDM will be outlined for use in new designs and for redesign in existing products. A function-failure knowledge base, derived from actual failure occurrences for Bell 206 rotorcraft will be introduced and used to derive potential failure modes in a comparison of the EFDM and traditional FMEA for two design examples. This comparison will demonstrate the EFDM’s potential in conceptual design failure analysis.


Author(s):  
Ke-Zheng Huang ◽  
Huai-Wei Ren

Tolerancing is an essential part of a product design process. It is traditionally performed after the product structure has been determined. The product precision requirements may not be fully utilized for the decision making for selecting the best structure in the early stage of product design — the conceptual design phase. A growth design method has been proposed for product structure design and concurrent tolerancing, in which the product form and tolerance can be generated in the same way as an organism grows. The basic feature of biology, cell division, has been borrowed as the design guiding principle. Product conceptual model has been built as the basis of form and tolerance growth design. The relationship of product function, structure and tolerance was analysed to explain on what and how they act in product design process. Tolerance mathematic model expressed by screw parameters and expression model based on Technologically and Topologically Related Surface (TTRS) are described to execute the tolerance allocation. The automation selection of Datum reference frame (DRF) can facilitate the generation of tolerance. Finally, a prototype form design and tolerancing system has been implemented and applied to a dedicated fixture design to verify the validity of the growth design.


2013 ◽  
Vol 664 ◽  
pp. 1180-1185
Author(s):  
Jian Qi Zhang ◽  
Zhi Gang Liu ◽  
Fei Ming Cheng

Aiming at the existing problems in the process of product modeling and structure design such as of no visualized appearance, low efficiency and the easy interference of parts, a Pro/E-based product design method is proposed which, in the component pattern, conducts three-dimensional design by considering core component as reference and creates the rest parts according to modeling surface. This method effectively prevents the easy interference of parts during the process of product design, ensures the precise alignment among parts and avoids design repetition, thus greatly improves the design efficiency. Its application in the process of intelligent data acquisition terminal product design has proved the high efficiency and practicality of this design method.


2021 ◽  
Vol 34 (1) ◽  
Author(s):  
Yingfeng Zhao ◽  
Jianhua Liu ◽  
Jiangtao Ma ◽  
Linlin Wu

AbstractCurrent studies on cable harness layouts have mainly focused on cable harness route planning. However, the topological structure of a cable harness is also extremely complex, and the branch structure of the cable harness can affect the route of the cable harness layout. The topological structure design of the cable harness is a key to such a layout. In this paper, a novel multi-branch cable harness layout design method is presented, which unites the probabilistic roadmap method (PRM) and the genetic algorithm. First, the engineering constraints of the cable harness layout are presented. An obstacle-based PRM used to construct non-interference and near to the surface roadmap is then described. In addition, a new genetic algorithm is proposed, and the algorithm structure of which is redesigned. In addition, the operation probability formula related to fitness is proposed to promote the efficiency of the branch structure design of the cable harness. A prototype system of a cable harness layout design was developed based on the method described in this study, and the method is applied to two scenarios to verify that a quality cable harness layout can be efficiently obtained using the proposed method. In summary, the cable harness layout design method described in this study can be used to quickly design a reasonable topological structure of a cable harness and to search for the corresponding routes of such a harness.


2013 ◽  
Vol 372 ◽  
pp. 17-20 ◽  
Author(s):  
Haruhiko Iida ◽  
Hidetoshi Sakamoto ◽  
Yoshifumi Ohbuchi

The purpose of this research is the development of new design method for integrating the optimum strength evaluation and the product design which can make the best use of material's characteristics obtained by the experiment and the analysis. Further we do design using high-strength composite material with this developed concept which is different from conventional design. First, to establish this design method of high-strength materials, we examined these materials characteristics and manufacturing methods and the commercialized products. As this research target material, we focus the fiber reinforced materials such as composite with carbon fiber, glass fiber and aramid fiber. Above all, we marked the carbon fiber which has the high specific tensile strength, wear resistance, heat conductivity and conductance. Here, we introduce the fundamental design concept which makes the best use of the design with enough strength.


2011 ◽  
Vol 467-469 ◽  
pp. 1505-1510
Author(s):  
Dan Liu ◽  
Ni Hong Wang ◽  
Gui Ying Li

This paper proposes a new method that it uses the neural network to construct the solution of the Hamiltion-Jacobi inequality (HJ), and it carries on the optimization of the neural network weight using the genetic algorithm. This method causes the Lyapunov function to satisfy the HJ, avoides solving the HJ parital differential inequality, and overcomes the difficulty which the HJ parital differential inequality analysis. Beside this, it proposes a design method of a nonlinear state feedback L2-gain disturbance rejection controller based on HJ, and introduces general structure of L2-gain disturbance rejection controller in the form of neural network. The simulation demonstrates the design of controller is feasible and the closed-loop system ensures a finite gain between the disturbance and the output.


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