Knowledge Based Modeling of the Design Process as a Base of Design Tools. Application to the Development of Agricultural Structures

2001 ◽  
pp. 209-222 ◽  
Author(s):  
Jose F. Bienvenido ◽  
Isabel M. Flores-Parra ◽  
Rafael Guirado ◽  
Roque L. Marín
Keyword(s):  
Design Process ◽  
Design Tools ◽  
Knowledge Based

Study on Knowledge-Based Product Design Framework for Facilitating the Interaction of Model Based Development and Prototyping

2014 ◽  
Vol 8 (3) ◽  
pp. 344-355 ◽  
Author(s):  
Yutaka Nomaguchi ◽  
◽  
Masashi Mizuta ◽  
Masaya Hirooka ◽  
Kikuo Fujita
Keyword(s):  
Product Design ◽  
Design Process ◽  
Modeling Language ◽  
Design Tools ◽  
Design Framework ◽  
Mechatronic System ◽  
Mechatronic Systems ◽  
Design Concepts ◽  
Model Based ◽  
Knowledge Based

Model-based development is a potential approach to designing complicated mechatronic systems. This paper proposes a product design framework for mechatronic systems, which integrates model-based development with prototyping and focuses on its process of deployment with hypothesis and verification. SysML is adopted as the modeling language for representing the mechatronic system without depending on specific domains, and FMEA is adopted as the method for describing the results of validation by prototyping. The DRIFT framework is used to capture designer’s operations on the design tools of SysML and FMEA and to manage its process. This study defines design concepts and design operations that are extracted from the patterns embedded in design process with SysML and FMEA. A design example of a ball-sorting robot is created using LEGO Mindstorms to demonstrate the proposed framework.

Cyberphysical Design Automation Framework for Knowledge-based Engineering

2013 ◽  
Vol 1 (1) ◽  
pp. 158-178
Author(s):  
Urcun John Tanik
Keyword(s):  
System Design ◽  
Design Process ◽  
Design Automation ◽  
Design Theory ◽  
Knowledge Bases ◽  
Knowledge Based ◽  
Knowledge Based Engineering ◽  
Cyberphysical System ◽  
Automation Framework

Cyberphysical system design automation utilizing knowledge based engineering techniques with globally networked knowledge bases can tremendously improve the design process for emerging systems. Our goal is to develop a comprehensive architectural framework to improve the design process for cyberphysical systems (CPS) and implement a case study with Axiomatic Design Solutions Inc. to develop next generation toolsets utilizing knowledge-based engineering (KBE) systems adapted to multiple domains in the field of CPS design automation. The Cyberphysical System Design Automation Framework (CPSDAF) will be based on advances in CPS design theory based on current research and knowledge collected from global sources automatically via Semantic Web Services. A case study utilizing STEM students is discussed.

An Advisory Conceptual Design Tool for Mechanical Transmission Systems

1994 ◽  
Author(s):  
C. P. Huang ◽  
F. W. Liou ◽  
J. J. Malyamakkil ◽  
W. F. Lu
Keyword(s):  
Decision Making ◽  
Expert System ◽  
Conceptual Design ◽  
Design Process ◽  
Design Tool ◽  
Mechanical Transmission ◽  
Transmission Systems ◽  
Knowledge Based System ◽  
Knowledge Based ◽  
Packaging Machine

Abstract This paper presents an advisory conceptual design tool for mechanical transmission systems. Space consideration was taken into account during the design process. A prototype function tree was built in the form of knowledge-based system to transfer a designer’s idea into a set of mechanical components. An advisory expert system was also developed to help a designer in decision making. As an example, a packaging machine is designed using the developed system.

scholarly journals Establishing exhaustive metasurface robustness against fabrication uncertainties through deep learning

Nanophotonics ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Ronald P. Jenkins ◽  
Sawyer D. Campbell ◽  
Douglas H. Werner
Keyword(s):  
Deep Learning ◽  
Design Process ◽  
Functional Materials ◽  
Computational Electromagnetics ◽  
Inverse Design ◽  
Design Tools ◽  
Structural Error ◽  
Significant Performance ◽  
Engineered Materials ◽  
Exhaustive Study

Abstract Photonic engineered materials have benefitted in recent years from exciting developments in computational electromagnetics and inverse-design tools. However, a commonly encountered issue is that highly performant and structurally complex functional materials found through inverse-design can lose significant performance upon being fabricated. This work introduces a method using deep learning (DL) to exhaustively analyze how structural issues affect the robustness of metasurface supercells, and we show how systems can be designed to guarantee significantly better performance. Moreover, we show that an exhaustive study of structural error is required to make strong guarantees about the performance of engineered materials. The introduction of DL into the inverse-design process makes this problem tractable, enabling optimization runtimes to be measurable in days rather than months and allowing designers to establish exhaustive metasurface robustness guarantees.

scholarly journals Rapid Prototype Design of the Kinetic Sculpture Based on Sketches and Skeletons

2020 ◽  
pp. 21-26
Author(s):  
Xinwei Zhang ◽  
◽  
Jin Wang ◽  
Jinsong Xiao ◽  
Guodong Lu ◽  
...  
Keyword(s):  
Design Process ◽  
Installation Art ◽  
Rapid Prototype ◽  
Urban Landscapes ◽  
Design Tools ◽  
Motion Simulation ◽  
Visual Effects ◽  
Engineering Knowledge ◽  
Prototype Design ◽  
Generation Unit

The kinetic sculpture is an important aspect of modern urban landscapes and installation art. However, designing such a sculpture needs much time, imagination, engineering knowledge and even rework, which restrains iterations of design and imagination of artists. To allow designers to have a holistic perspective in design, and to simplify and accelerate the design process, we proposed a system to assist designers to build kinetic sculpture digital prototypes from sketches rapidly. The system simplifies the design pipeline as sketch processing, skeleton generation, unit assignment, and motion simulation. Different from other design tools, our system liberates designers from detailed modeling and animation. Therefore, they can focus on perfecting visual effects. User cases show that our system can spark the creativity and accelerate design process both for professional and inexperienced designers, and can generalize the pipeline to other kinetic applications.

A Structured Design Methodology and Metadesigner: A System Shell Concept for Computer Aided Creative Design

1989 ◽  
Author(s):  
C. R. Liu ◽  
J. C. Trappey
Keyword(s):  
Design Process ◽  
Design Methodology ◽  
Design Space ◽  
Structured Design ◽  
Programming Paradigm ◽  
Knowledge Based ◽  
Design Structure ◽  
Hierarchical Nature ◽  
Design Options ◽  
Human Designer

Abstract This paper discusses the concept of managing the design process using Objected Oriented Programming Paradigm. A software system shell, called MetaDesigner is being developed for aiding the human designer to create new designs, based on the hierarchical nature of the design space. This system shell is intended to have the following capabilities: (1) interactive and system-guided design process to analyze design structure and to characterize design options, (2) to provide interactive and system-guided knowledge acquisition, classification, and retrieval to achieve machine learning, and (3) to build a flexible and forever expandable structure for knowledge-based system implementation.

Study on the Organization Model for the Design Process Modular of Complex Mechanical Product

2012 ◽  
Vol 538-541 ◽  
pp. 2990-2994
Author(s):  
Jun Zheng
Keyword(s):  
Product Design ◽  
Design Process ◽  
Directed Acyclic Graph ◽  
Semantic Relations ◽  
Design Knowledge ◽  
Modular Approach ◽  
Organization Model ◽  
Acyclic Graph ◽  
Knowledge Based ◽  
Special Collections

In order to provide knowledge service more efficiently for complex mechanical product design, a knowledge organization model for complex mechanical product design knowledge based on the process modular approach was proposed. First, a general form, the knowledge instance, would be used to represent all forms of the knowledge for complex mechanical product design; then, based on the contents and features of the knowledge instances and the semantic relations in the domain ontology, the special collections of the knowledge instances which have related features would be composed to knowledge modules, and knowledge modules would be organized as a DAG(directed acyclic graph). The complex mechanical product design knowledge could be efficiently and completely queried based-on semantic according to the logical relationships expressed in the DAG.

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