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.

Knowledge Based Engineering Optimization and Interoperability: An Automotive Case-Study

2012 ◽  
Vol 232 ◽  
pp. 823-827
Author(s):  
Frederic Danesi ◽  
Nicolas Gardan ◽  
Elvis Kwassi
Keyword(s):  
Design Process ◽  
Manufacturing Process ◽  
Engineering Optimization ◽  
Design Studies ◽  
Knowledge Based ◽  
Actual Design ◽  
Knowledge Based Engineering ◽  
Industrial Needs ◽  
Formal Design

This article focuses on the optimization of a design process, in the context of automotive subcontracting opportunity. This optimization is guided by the underlying manufacturing process and by the industrial knowledge. We first show that the actual design studies are biased by the final goal (a formal design) and do not take into account early industrial needs (a draft design to draw up an estimate). We then demonstrate how an automaker subcontractor optimizes the early design process thanks to industrial knowledge.

scholarly journals Beyond analogy: A model of bioinspiration for creative design

2016 ◽  
Vol 30 (2) ◽  
pp. 159-170 ◽  
Author(s):  
Camila Freitas Salgueiredo ◽  
Armand Hatchuel
Keyword(s):  
Design Process ◽  
Design Theory ◽  
Leading Edge ◽  
Knowledge Bases ◽  
Biologically Inspired ◽  
Concept Knowledge ◽  
Bioinspired Design ◽  
Aerodynamic Properties ◽  
Biologically Inspired Design ◽  
The Impact

AbstractIs biologically inspired design only an analogical transfer from biology to engineering? Actually, nature does not always bring “hands-on” solutions that can be analogically applied in classic engineering. Then, what are the different operations that are involved in the bioinspiration process and what are the conditions allowing this process to produce a bioinspired design? In this paper, we model the whole design process in which bioinspiration is only one element. To build this model, we use a general design theory, concept–knowledge theory, because it allows one to capture analogy as well as all other knowledge changes that lead to the design of a bioinspired solution. We ground this model on well-described examples of biologically inspired designs available in the scientific literature. These examples include Flectofin®, a hingeless flapping mechanism conceived for façade shading, and WhalePower technology, the introduction of bumps on the leading edge of airfoils to improve aerodynamic properties. Our modeling disentangles the analogical aspects of the biologically inspired design process, and highlights the expansions occurring in both knowledge bases, scientific (nonbiological) and biological, as well as the impact of these expansions in the generation of new concepts (concept partitioning). This model also shows that bioinspired design requires a special form of collaboration between engineers and biologists. Contrasting with the classic one-way transfer between biology and engineering that is assumed in the literature, the concept–knowledge framework shows that these collaborations must be “mutually inspirational” because both biological and engineering knowledge expansions are needed to reach a novel solution.

scholarly journals Use of Knowledge-Based Engineering in Compressor Rotor Design

1995 ◽  
Author(s):  
John Marra
Keyword(s):  
Design Process ◽  
Concurrent Engineering ◽  
Synergistic Effects ◽  
General Description ◽  
Knowledge Based ◽  
Compressor Rotor ◽  
Product And Process Knowledge ◽  
Knowledge Based Engineering ◽  
Product And Process ◽  
Use Of Knowledge

Competitive pressures are forcing manufacturers of turbine engines to reduce product development times, minimize design iterations, and react rapidly to changing markets and customers. Concurrent Engineering replaces the traditional sequential design process with parallel efforts in multiple disciplines, increasing product quality while reducing leadtime. Knowledge-Based Engineering captures product and process knowledge contained in the “corporate memory” to enhance and accelerate the design process. Linking the two together provides a wide variety of synergistic effects not separately available. In this paper a general description of the process used to create a Knowledge Based Engineering (KBE) System capable of Concurrent Engineering (CE) will be presented, along with selected results. The summary discusses use of the system created to pursue real world design problems.

PEDAL: A Knowledge-Based Design Assistant for Automotive PEDAL Packaging

1998 ◽  
Author(s):  
Paul Lomangino ◽  
Nanxin Wang
Keyword(s):  
Knowledge Base ◽  
Design Process ◽  
Layout Design ◽  
Engine Compartment ◽  
Design Standards ◽  
Prototype Implementation ◽  
Knowledge Based ◽  
Trade Offs ◽  
Knowledge Based Engineering ◽  
Knowledge Based Design

Abstract Pedal packaging is a complex and tedious design process involving trade-offs among many related activities, including driver placement and engine compartment layout. Pedal layout design requires checks of candidate designs against large libraries of standards. Designers of pedal assemblies must carefully follow these regulations and standards, and manually come up with the pedal layout design. Differences in interpretation of the regulations result in inconsistent designs. A knowledge-based design assistant, named PEDAL, has been designed and developed to help automotive package designers overcome these problems. This paper reviews the needs of the pedal package designer in the framework of the abilities of knowledge-based engineering. PEDAL’s prototype implementation and its combined knowledge base of design standards are described.

Autopoiesis and Digital Design Theory: CAD Systems as Cognitive Instruments

2005 ◽  
Vol 3 (3) ◽  
pp. 317-333 ◽  
Author(s):  
Eduardo Lyon
Keyword(s):  
Design Process ◽  
Distributed Cognition ◽  
Design Theory ◽  
Digital Design ◽  
Theory And Practice ◽  
Digital Tools ◽  
Cad Systems ◽  
Knowledge Based ◽  
Creative Space ◽  
Design Software

In contrast to traditional models of design process fundamentally defined by the abstract manipulation of objects, this study recognizes that the resources available for rethinking architecture are to be found in a reformulation of its theory and practice. This reformation should be based on non-linear design processes in which dynamic emergence and invention take the place of a linear design process fixed on a particular object evolution. Advances in computation thinking and technology have stimulated the design and formulation of a large number of design software. Its elaboration supposes a new conceptualization of our discipline's knowledge, in a body of principles and regulations, which commands the artifact's design and its realization; therefore, it constitutes a preliminary datum for its comprehension, and thereby is of theoretical importance. Despite the continuous increment of power in computers and software capacities, the creative space of freedom defined by them acting as cognitive instruments remains almost unexplored. Therefore, we propose a change from a design knowledge based on objects to one focused on design as a network of processes. In addition, this study explores the concept of Distributed Cognition in order to redefine the use of digital tools in design process as Cognitive Instruments.

Knowledge Based Engineering and Ontology Engineering Approaches for Product Development: Methods and Tools for Design Automation in Industrial Engineering

2016 ◽  
Author(s):  
Francesco Furini ◽  
Marco Rossoni ◽  
Giorgio Colombo
Keyword(s):  
Product Development ◽  
Design Automation ◽  
Critical Issue ◽  
Industrial Engineering ◽  
Product Development Process ◽  
Ontology Engineering ◽  
Automotive Engine ◽  
Knowledge Based ◽  
Knowledge Based Engineering ◽  
Bio Engineering

The study illustrated in this paper aims at analyzing the knowledge management issue related to product development. Especially, the focus is on the domains in which Knowledge-based Systems (KBE) and Design Automation (DA) tools could be adopted. In the past various studies, a lot of KBE and DA systems have been developed in multiple fields such as automotive, aerospace, energy, materials and manufacturing: the information treated in these studies are about data relatives to specific design, for example, of automotive engine components, aircraft structures, energy plants, advanced material and manufacturing or assembly lines. In all of these domain the organization and formalization of the knowledge is a critical issue. The adoption of a good strategy to manage data and information relative to products and processes involves benefits in the product development process. Different methodologies are described in literature. The two of the most used are the Object-Oriented (OO) and Ontology Engineering (OE) approaches. The former is one of the most common and adopted in the industrial domain, including a lot of implementations in the recent past years. The latter is more commonly used in other fields, like bio-engineering, used with the scope of management of experimental data; few implementation in industrial engineering have been considered. The article considers a brief description of the state of the art about Knowledge Based Engineering and Ontology Engineering. A case studies will be described and the benefits and disadvantages due to the use of the different methodologies will be discussed.

Study on Logistics-Oriented Product Innovative Design

2010 ◽  
Vol 139-141 ◽  
pp. 1136-1141
Author(s):  
Chun Sheng Zhou ◽  
Wu Zhao ◽  
Kai Zhang
Keyword(s):  
Product Design ◽  
Quality Function Deployment ◽  
Design Theory ◽  
Product Performance ◽  
Design Criteria ◽  
Innovative Design ◽  
Knowledge Based ◽  
Engineering Parameters ◽  
Design Conflicts

In order to improve the logistic characteristics of products, a process of product innovative design for logistics is presented which is combined with the idea of product design for logistics and innovative design theory. Some innovative design approaches i.e. TRIZ, QFD, knowledge-based innovative design, are introduced. Based upon product design criteria for logistics and QFD (Quality Function Deployment), the conflicts between product performance and logistic characteristics are discussed and determined. TRIZ (Theory of Inventive Problem Solving) is employed to solve the conflicts, with the conflict matrix and inventive principles. According to the product logistic characteristics, the general TRIZ engineering parameters are simplified to facilitate the application. Further more, the analysis of logistic design conflicts is introduced. A case study has been done to illustrate the method proposed in this paper.

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