scholarly journals Product Module Partition Methodology Based on Function-Principle-Structure

2017 ◽  
Author(s):  
Jing Chen ◽  
Wen-bo Wang
Keyword(s):  
Module Partition

Design Strategy of Tightening Spindle System on the Principle of Modularity

2011 ◽  
Vol 141 ◽  
pp. 39-42
Author(s):  
Ya Wei Zhang ◽  
Jian Guo Yang
Keyword(s):  
Modular Design ◽  
Low Cost ◽  
Design Strategy ◽  
Torque Control ◽  
Spindle System ◽  
Assembly Technology ◽  
Bolt Connection ◽  
Module Partition ◽  
Standard Components

Modern and reliable tightening spindle systems are indispensable due to importance of bolt connection in assembly technology, and the tightening spindle system is developed in order that automated tightening processes is able to ensure uniform quality of the tightened bolt connection. In this paper, the strategy “torque control and angle checked” of tightening is discussed and analyzed on the basis that the process mechanism of forming bolt connection is clarified. This strategy builds the base and boundary conditions of modular design strategy for tightening spindle system which is introduced, because it makes design flexibly, and many standard components can be chosen with more efficiency and low cost. The module partition bases on the function of the components of the system. The possibility of expansion of the tightening system comes into discussion too.

scholarly journals Green Product Module Partition Method Based on Improved Multi-objective Artificial Bee Colony Algorithm

2019 ◽  
Vol 301 ◽  
pp. 00021
Author(s):  
Wei Wei ◽  
Yang Zhan
Keyword(s):  
Life Cycle ◽  
Objective Function ◽  
Correlation Matrix ◽  
Artificial Bee Colony Algorithm ◽  
Artificial Bee Colony ◽  
Green Product ◽  
Multi Objective ◽  
Bee Colony ◽  
Axiomatic Design Theory ◽  
Module Partition

Modular design is an important design method in the mass customization for manufacturing industry. The purpose of this paper is to meet diverse market demands while reducing the impact of products on the ecological environment. Firstly, aiming at the product life cycle process, this paper summarizes the problems encountered in each stage of the product, and introduces five green product module partition principles. Then, through the component correlation matrix, the resource greenness objective function based on the whole life cycle and the polymerization degree objective function based on the component correlation matrix are established respectively by the axiomatic design theory which makes the product mapping from functional domain to structural domain. Next, an improved artificial bee colony algorithm is proposed. Based on the artificial bee colony algorithm, the algorithm applies congestion strategy and fast nondominated sorting strategy to solve the module partition problem of product platform with multi-objective optimization, and a uniformly distributed pare to solution set is generated. Through above steps, the optimization results of module partition are obtained. Finally, an application example of aircraft tail horizontal stabilizer parts is given, and the advantages of the algorithm are proved by comparing with other algorithms.

Modeling and Performance Simulation for a Picking Manipulator Based on Modelica

2013 ◽  
Vol 579-580 ◽  
pp. 467-475 ◽  
Author(s):  
Hong Jun Wang ◽  
Guo Gang Huang ◽  
Xiang Jun Zou ◽  
Yan Chen
Keyword(s):  
Structure Design ◽  
The Body ◽  
Body Structure ◽  
Performance Simulation ◽  
Model Library ◽  
Drive Motor ◽  
The Laplace Transform ◽  
And Performance ◽  
Component Models ◽  
Module Partition

This paper presents a procedure and the results of structure design about a picking manipulator to be used for autonomous banana harvesting. Based on structure analysis and module partition for the picking manipulator, DriveLib model library was developed employing the virtual simulation and modeling language Modelica. A body structure model for the picking manipulator was established based on component models in DriveLib model library. Motion controls mathematic models for the picking manipulator were analyzed according to drive motor performance for the body structure, and then the partial differential equations were transformed into the ordinary differential equation easily solved by Modelica with the Laplace transform, mechanical motion simulation was realized. The validity models could provide a theoretical basis for picking banana manipulator primary design.

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
Keyword(s):  
Product Design ◽  
Main Parameter ◽  
Design Method ◽  
General Structure ◽  
Structure Design ◽  
Product Platform ◽  
Adaptable Design ◽  
Parameterized Design ◽  
Design Cycle ◽  
Module Partition

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.

A Method of Optimal Module Partition in Green Product Configuration Design under Uncertainty

2013 ◽  
Vol 483 ◽  
pp. 438-445
Author(s):  
Dian Ting Liu ◽  
Hao Ping Hu
Keyword(s):  
Mathematic Model ◽  
Product Configuration ◽  
Configuration Design ◽  
Green Product ◽  
Design Under Uncertainty ◽  
Mutation Operator ◽  
Fuzzy Operator ◽  
Set Up ◽  
Crossover And Mutation ◽  
Module Partition

The principle and main steps of module partition in green product configuration design under uncertainty, and how to determine the correlation between the basic elements of a product, and how to calculate the green degree of module are discussed in this paper. Let the maximum degree of cluster inner a module and the minimum coupling degree among modules and the maximum green degree of modules as the objective function, the mathematic model of uncertainly optimizing for green module partition is set up. And then It is transformed to an ascertainable combinatorial optimization model by de-fuzzy operator, and it is solved by GA (Genetic Algorithm,). The methods of chromosome encoding and the methods of selection and crossover and mutation operator are presented in this paper. A computational example is studied; its result verifies the effectiveness and practical value of the method proposed in this paper.

Sign in / Sign up

Export Citation Format

Share Document