A Knowledge-Based Engineering (KBE) Graduate Design Class

1998 ◽  
Author(s):  
D. E. Calkins ◽  
Nathaniel Egging ◽  
Christian Scholz
Keyword(s):  
Design Process ◽  
Virtual Prototype ◽  
Emerging Technology ◽  
Graduate Level ◽  
Product Representation ◽  
Geometric Characteristics ◽  
Knowledge Based ◽  
Knowledge Based Engineering ◽  
Level Design

Abstract An emerging technology known as Knowledge-Based Engineering (KBE) is the next step beyond CAD for product representation. KBE allows a true virtual prototype to be developed that represents both the geometric and the non-geometric characteristics of a product. A graduate level design course based on this technology is described. A new version of the design process is presented for the development of a virtual prototype. Examples of a product that was modeled, a hand held vacuum, are also presented.

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.

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.

The Necessity for Product Knowledge Reuse and Sharing Within Knowledge-Based Engineering Systems

1998 ◽  
Author(s):  
P. Sainter ◽  
K. Oldham ◽  
S. Kneebone
Keyword(s):  
Product Knowledge ◽  
Engineering Systems ◽  
Product Representation ◽  
Product Data ◽  
Knowledge Based ◽  
Exchange Product ◽  
Design And Manufacturing ◽  
Representation Language ◽  
Knowledge Based Engineering ◽  
Manufacturing Knowledge

Abstract The deployment of knowledge-based engineering systems is on the increase within engineering industries and, as such, there will be an ever-increasing demand to share a common product representation, which includes design and manufacturing knowledge. At the moment, each commercial knowledge-based engineering system has its own development language and therefore representation language for design and manufacturing knowledge. To date, no work has fully addressed the need to exchange product knowledge as well as product data. It is, therefore, the main aim of this paper to demonstrate the need for a standard product knowledge representation language and how it could be developed by using existing standards, thereby providing the ability to exchange product knowledge as well as product data.

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.

Knowledge-based aircraft fuel system integration

2018 ◽  
Vol 90 (7) ◽  
pp. 1128-1135 ◽  
Author(s):  
Raghu Chaitanya Munjulury ◽  
Ingo Staack ◽  
Adrián Sabaté López ◽  
Petter Krus
Keyword(s):  
Conceptual Design ◽  
Design Process ◽  
System Integration ◽  
Simulation Models ◽  
Fuel System ◽  
Content Type ◽  
Centre Of Gravity ◽  
Knowledge Based ◽  
Knowledge Based Engineering ◽  
Aircraft Conceptual Design

Purpose This paper aims to present a knowledge-based fuel system, implementation and application, oriented towards its use in aircraft conceptual design. Design/methodology/approach Methodology and software tools oriented to knowledge-based engineering applications (MOKA) is used as a foundation for the implementation and integration of fuel systems. Findings Including fuel systems earlier in the design process creates an opportunity to optimize it and obtain better solutions by allocating suitable locations in an aircraft, thereby reflecting on the centre of gravity of the aircraft. Research limitations/implications All geometries are symbolic, representing a space allocation inside the aircraft for the fuel system. A realistic representation of the real components could be realized in detail design. Practical implications Fuel weight is a significant part of take-off weight and decisive in aircraft sizing and range estimations. The three-dimensional geometry provides a better estimation of the volume that is available to allocate the necessary entities. It also provides fast measures for weight and balance, fuel capacity, relative tank positions and a first estimation of piping length. Originality/value Fuel systems appear early in the design process, as they are involved in several first estimations. By using a knowledge-based engineering approach, several alternatives can be visualized and estimated in the conceptual design process. Furthermore, using the weights and centre of gravity at different angles of pitch and roll of each fuel tank, the aircraft could be optimized for handling qualities by using automatically generated system simulation models.

Educating Ms. Fatima

1970 ◽  
pp. 56-63
Author(s):  
Tim Walters ◽  
Susan Swan ◽  
Ron Wolfe ◽  
John Whiteoak ◽  
Jack Barwind
Keyword(s):  
Federal Government ◽  
Free Trade ◽  
United Arab Emirates ◽  
Arabian Peninsula ◽  
High Technology ◽  
Emerging Technology ◽  
Abu Dhabi ◽  
Free Trade Zones ◽  
Knowledge Based ◽  
K 12

The United Arab Emirates is a smallish Arabic/Islamic country about the size of Maine located at the tip of the Arabian Peninsula. Though currently oil dependent, the country is moving rapidly from a petrocarbon to a people-based economy. As that economy modernizes and diversifies, the country’s underlying social ecology is being buffeted. The most significant of the winds of change that are blowing include a compulsory, free K-12 education system; an economy shifting from extractive to knowledge-based resources; and movement from the almost mythic Bedouin-inspired lifestyle to that of a sedentary highly urbanized society. Led by resource-rich Abu Dhabi and Dubai, the federal government has invested heavily in tourism, aviation, re-export commerce, free trade zones, and telecommunications. The Emirate of Dubai, in particular, also has invested billions of dirhams in high technology. The great dream is that educated and trained Emiratis will replace the thousands of foreign professionals now running the newly emerging technology and knowledge-driven economy.

Industrial Application of Knowledge-Based Engineering in Commercial CAD / CAE Systems

2021 ◽  
pp. 100255
Author(s):  
Jerzy Pokojski ◽  
Karol Szustakiewicz ◽  
Łukasz Woźnicki ◽  
Konrad Oleksiński ◽  
Jarosław Pruszyński
Keyword(s):  
Industrial Application ◽  
Knowledge Based ◽  
Knowledge Based Engineering
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