RESEARCH ON PATTERN SYSTEM DESIGN IN PRODUCT DEVELOPMENT

2008 ◽  
Vol 07 (02) ◽  
pp. 291-295 ◽  
Author(s):  
JUQUN WANG ◽  
GENG LIU

The concept of pattern system design was presented. The pattern design methods with system characteristic were classified as the process pattern system design and the object pattern system design, both of which were studied in detail. Through integrating process pattern system design and object pattern system design, a P-OI (Process-Object Integration) pattern system design method was proposed. In addition to some common advantages in pattern system design methods such as sharing and reusing system resource, the P-OI pattern system design method is also consistent with integral criterion, well process and object integration, and prominent system open connectivity, all of which are of vital importance for high effectiveness and quality but of low cost during the development of products.

Author(s):  
Wei Li ◽  
Daniel A. McAdams

As the advantages of foldable or deployable structures are being discovered, research into origami engineering has attracted more focus from both artists and engineers. With the aid of modern computer techniques, some computational origami design methods have been developed. Most of these methods focus on the problem of origami crease pattern design — the problem of determining a crease pattern to realize a specified origami final shape, but don’t provide computational solutions to actually developing a shape that meets some design performance criteria. This paper presents a design method that includes the computational design of the finished shape as well as the crease pattern. The origami shape will be designed to satisfy geometric, functional, and foldability requirements. This design method is named computational evolutionary embryogeny for optimal origami design (CEEFOOD), which is an extension of the genetic algorithm (GA) and an original computational evolutionary embryogeny (CEE). Unlike existing origami crease pattern design methods that adopt deductive logic, CEEFOOD implements an abductive approach to progressively evolve an optimal design. This paper presents how CEEFOOD — as a member of the GA family — determines the genetic representation (genotype) of candidate solutions, the formulation of the objective function, and the design of evolutionary operators. This paper gives an origami design problem, which has requirements on the folded-state profile, position of center of mass, and number of creases. Several solutions derived by CEEFOOD are listed and compared to highlight the effectiveness of this abductive design method.


Author(s):  
Michael Szczepkowski ◽  
Kelly Neville ◽  
Ed Popp

A number of challenges hinder the development of systems that support users in the conduct of their work. Challenges include the widespread use and acceptance of design methods that are system-centered rather than work-centered; the time required to develop a work-centered system design; the imprecise nature of translating work domain analysis results into a work-centered design; and unsatisfactory means for coordinating design and design-implementation processes. The Work-centered Infomediary Layer (WIL) design model and method have been developed to address challenges such as these and to facilitate work-centered design in general. In this paper, we describe the application of WIL to the design of a work-centered support system for defensive counterspace (DCS) operators. The design model and method are presented, followed by a description of the resulting system design and ways in which it was shaped and defined through use of the WIL method.


2012 ◽  
Vol 433-440 ◽  
pp. 835-839
Author(s):  
Hong Guang Zhang ◽  
Yuan An Liu ◽  
Bi Hua Tang ◽  
Yan Qin ◽  
Zhi Peng Jia

Wireless network distributed systems have become commonplace due to the wide availability of low-cost, high performance computers and network devices. With the increase of slave nodes of distributed systems, the performance of distributed systems often fall significantly or management infrastructure of distributed systems often does not scale well. Wireless network distributed system design method of using artificial life cooperation principle is proposed. Design principle of mutual cooperation among slave nodes and open wireless communication links of wireless network distributed systems make the topology of distributed system is able to handle the dynamic increase of system size and recover the unexpected failure of system services. The proposed design method for constructing distributed systems could optimize the scalability and reliability of distributed systems.


2021 ◽  
Vol 29 (3) ◽  
pp. 651-662
Author(s):  
Guiying Wang ◽  
Xigui Wang ◽  
Hong Zhao ◽  
Yinggang Huang ◽  
Jinyong Ju ◽  
...  

Author(s):  
Wei Li ◽  
Daniel A. McAdams

As the advantages of foldable or deployable structures are being discovered, research into origami engineering has attracted more focus from both artists and engineers. With the aid of modern computer techniques, some computational origami design methods have been developed. Most of these methods focus on the problem of origami crease pattern design—the problem of determining a crease pattern to realize a specified origami final shape, but do not provide computational solutions to actually developing a shape that meets some design performance criteria. This paper presents a design method that includes the computational design of the finished shape as well as the crease pattern. The origami shape will be designed to satisfy geometric, functional, and foldability requirements. This design method is named computational evolutionary embryogeny for optimal origami design (CEEFOOD), which is an extension of the genetic algorithm (GA) and an original CEE. Unlike existing origami crease pattern design methods that adopt deductive logic, CEEFOOD implements an abductive approach to progressively evolve an optimal design. This paper presents how CEEFOOD—as a member of the GA family—determines the genetic representation (genotype) of candidate solutions, the formulation of the objective function, and the design of evolutionary operators. This paper gives an origami design problem, which has requirements on the folded-state profile, position of center of mass, and number of creases. Several solutions derived by CEEFOOD are listed and compared to highlight the effectiveness of this abductive design method.


Author(s):  
Masataka Yoshimura ◽  
Yoshiyuki Chujo ◽  
Kenji Doi ◽  
Shinji Nishiwaki ◽  
Kazuhiro Izui

Author(s):  
Gabriel de Almeida Souza ◽  
Larissa Barbosa ◽  
Glênio Ramalho ◽  
Alexandre Zuquete Guarato

Author(s):  
Warren Brown

This paper details further progress made in the PVRC project “Development of Improved Flange Design Method for the ASME VIII, Div.2 Rewrite Project” presented during the panel session on flange design at the 2006 PVP conference in Vancouver. The major areas of flange design improvement indicated by that project are examined and the suggested solutions for implementing the improved methods into the Code are discussed. Further analysis on aspects such as gasket creep and the use of leakage-based design has been conducted. Shortcomings in the proposed ASME flange design method (ASME BFJ) and current CEN flange design methods (EN-1591) are highlighted and methods for resolution of these issues are suggested.


2021 ◽  
Vol 13 (4) ◽  
pp. 1929
Author(s):  
Yongmao Xiao ◽  
Wei Yan ◽  
Ruping Wang ◽  
Zhigang Jiang ◽  
Ying Liu

The optimization of blank design is the key to the implementation of a green innovation strategy. The process of blank design determines more than 80% of resource consumption and environmental emissions during the blank processing. Unfortunately, the traditional blank design method based on function and quality is not suitable for today’s sustainable development concept. In order to solve this problem, a research method of blank design optimization based on a low-carbon and low-cost process route optimization is proposed. Aiming at the processing characteristics of complex box type blank parts, the concept of the workstep element is proposed to represent the characteristics of machining parts, a low-carbon and low-cost multi-objective optimization model is established, and relevant constraints are set up. In addition, an intelligent generation algorithm of a working step chain is proposed, and combined with a particle swarm optimization algorithm to solve the optimization model. Finally, the feasibility and practicability of the method are verified by taking the processing of the blank of an emulsion box as an example. The data comparison shows that the comprehensive performance of the low-carbon and low-cost multi-objective optimization is the best, which meets the requirements of low-carbon processing, low-cost, and sustainable production.


Sign in / Sign up

Export Citation Format

Share Document