A Design Environment for the Design of Micromachines

1995 ◽  
Author(s):  
Ralf Huber ◽  
Hans Grabowski ◽  
Takashi Kiriyama ◽  
Sigeru Yoneda ◽  
Aylmer Johnson ◽  
...  
Keyword(s):  
Design Process ◽  
Research Field ◽  
Design Stage ◽  
Design Environment ◽  
Short Introduction ◽  
Medical Apparatus ◽  
Knowledge Based ◽  
Design Systems ◽  
Knowledge Based Design

Abstract Micromachine technology has developed in recent years significantly and become an outstanding research field with remarkable results. In the past, several new products resulted, mainly related with sensors, actuators, and medical apparatus. The characteristics of micromachines are given by the interaction of miniaturised mechanical and electronic components, which are manufactured by methods originally developed for semiconductor production. These characteristics of micromachines are taken as occasion to investigate the possibilities of supporting the micromachine design process with knowledge based systems. After a short introduction into knowledge based design systems and design methodologies, a case study on the micromachine design is presented. We will mainly examine the conceptual design stage based on the methodological design. From the case study, specific requirements for a design environment to support the micromachine design process are derived. These requirements are compared with the capabilities offered by today’s concepts for advanced design systems such as SYSFUND. Then, the necessary enhancement for SYSFUND that was found in the process of knowledge representation is described. Finally an extended concept for a micromachine design environment is discussed.

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.

Optioneering of long viaducts via parametric design

2021 ◽  
Author(s):  
Paul M. Sobota
Keyword(s):  
Design Process ◽  
Performance Indicators ◽  
Parametric Design ◽  
Design Stage ◽  
Parametric Modelling ◽  
Parametric Approach ◽  
Early Design Stage ◽  
Main Challenge ◽  
Suitable Approximation

<p><br clear="none"/></p><p>During the optioneering phase, engineers face the challenge of choosing between myriads of possible designs, while, simultaneously, several sorts of constraints have to be considered. We show in a case study of a 380 m long viaduct how parametric modelling can facilitate the design process. The main challenge was to satisfy the constraints imposed by several different stakeholders. In order to identify sustainable, aesthetic, economic as well as structurally efficient options, we assessed several key performance indicators in real time. By automatically estimating steel and concrete volumes, a simple, yet suitable approximation of the embodied carbon (considering 85-95%) can be obtained at a very early design stage. In summary, our parametric approach allowed us to consider a wider range of parameters and to react more flexibly to changing conditions during the project.</p><p><br clear="none"/></p>

Knowledge-based geometric modelling of aircraft structures

1997 ◽  
Vol 211 (4) ◽  
pp. 273-284
Author(s):  
J P Bates ◽  
A J Morris ◽  
P N Payne
Keyword(s):  
Aerospace Engineering ◽  
Geometric Modelling ◽  
Test Environment ◽  
Aircraft Structures ◽  
Knowledge Based ◽  
Extended Application ◽  
Design Systems ◽  
Strategic Market ◽  
Engineering Programme

Aerospace engineering offers a challenging test environment for advanced design systems and methods. Focusing particularly on knowledge-based engineering (KBE) systems, this paper demonstrates their application in automating the solid modelling of aircraft structures. The principles are illustrated through a case study example in which a description is given of the knowledge-based geometric modelling of light alloy fuselage frame sectors. The business benefits of using KBE systems in an aerospace engineering programme are quantified. Recommendations for the extended application of the technology to achieve strategic market advantage are also given.

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.

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