Aeroelastic Design and Optimization of Unconventional Aircraft Configurations in a Distributed Design Environment

Author(s):  
Pier Davide Ciampa ◽  
T. Zill ◽  
Bjoern Nagel
Author(s):  
Jae Yeol Lee ◽  
Hyun Kim ◽  
Sung-Bae Han

Abstract Network and Internet technology open up another domain for building future CAD/CAM environments. The environment will be global, network-centric, and spatially distributed. In this paper, we present Web-enabled feature-based modeling in a distributed design environment. The presented approach combines the current feature-based modeling technique with distributed computing and communication technology for supporting product modeling and collaborative design activities over the network. The approach is implemented in a client/server architecture, in which Web-enabled feature modeling clients, neutral feature model server, and other applications communicate with one another via a standard communication protocol. The paper discusses how the neutral feature model supports multiple views and maintains naming consistency between geometric entities of the server and clients as the user edits the part in a client. Moreover, it explains how to minimize the network delay between the server and client according to dynamic feature modeling operations.


2004 ◽  
Vol 1 (1) ◽  
pp. 52-58
Author(s):  
Sandro Sawicki ◽  
Lisane Brisolara ◽  
Leandro Soares Indrusiak ◽  
Ricardo Reis ◽  
Manfred Glesner

This paper adress the problem of supporting collaboration among designers in a distributed design environment. Our goal is to allow designers to work synchronously even though they are geographically dispersed. The collaboration support is based on shared object spaces as technological infrastructure and its methodology is based on Pair Programming. It was implemented using Jini/Javaspaces and it was incorporated in the Cave2 CAD framework. The implemented collaboration support is availabre as a servicee that ca be requested by the design tolls and it allows design data sharing and facilitates the experience sharing among designers. The proposed approach was validated with a case stufy on a diagram editor.


Author(s):  
Robert Ian Whitfield

An overview of a virtual design environment (virtual platform) developed as part of the European Commission funded VRShips-ROPAX (VRS) project is presented. The main objectives for the development of the virtual platform are described, followed by the discussion of the techniques chosen to address the objectives, and finally a description of a use-case for the platform. Whilst the focus of the VRS virtual platform was to facilitate the design of ROPAX (roll-on passengers and cargo) vessels, the components within the platform are entirely generic and may be applied to the distributed design of any type of vessel, or other complex made-to-order products.


Author(s):  
Tianhong Jiang ◽  
Gale E. Nevill

Abstract In this paper, a well-organized structure of conflict classes and causes is presented. Based on our study of nature of the conflicts and the associated value patterns in design, a pattern-based computational model is proposed for conflict cause identification and successfully tested in Plane World distributed design simulation.


Author(s):  
Di Wu ◽  
Swati Bhargava ◽  
Radha Sarma

Abstract This paper proposes an algorithm for streaming manifold solid models and NURBS geometry. A neutral streaming representation consisting of a nodes graph is encoded by a one-dimensional dynamic stack. The encoded model is transmitted over the Internet, where a two-dimensional dynamic stack decodes and reconstructs the solid model. The time and storage complexity of the algorithm are investigated. An example of streaming a solid model, resulting from a proof-of-concept implementation, is demonstrated.


Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5064
Author(s):  
Daniele Giannini ◽  
Giacomo Bonaccorsi ◽  
Francesco Braghin

In this paper, we propose a novel design and optimization environment for inertial MEMS devices based on a computationally efficient schematization of the structure at the a device level. This allows us to obtain a flexible and efficient design optimization tool, particularly useful for rapid device prototyping. The presented design environment—feMEMSlite—handles the parametric generation of the structure geometry, the simulation of its dynamic behavior, and a gradient-based layout optimization. The methodology addresses the design of general inertial MEMS devices employing suspended proof masses, in which the focus is typically on the dynamics associated with the first vibration modes. In particular, the proposed design tool is tested on a triaxial beating-heart MEMS gyroscope, an industrially relevant and adequately complex example. The sensor layout is schematized by treating the proof masses as rigid bodies, discretizing flexural springs by Timoshenko beam finite elements, and accounting for electrostatic softening effects by additional negative spring constants. The MEMS device is then optimized according to two possible formulations of the optimization problem, including typical design requirements from the MEMS industry, with particular focus on the tuning of the structural eigenfrequencies and on the maximization of the response to external angular rates. The validity of the proposed approach is then assessed through a comparison with full FEM schematizations: rapidly prototyped layouts at the device level show a good performance when simulated with more complex models and therefore require only minor adjustments to accomplish the subsequent physical-level design.


2021 ◽  
Vol 263 (1) ◽  
pp. 5216-5224
Author(s):  
Francesco Centracchio ◽  
Lorenzo Burghignoli ◽  
Giorgio Palma ◽  
Ilaria Cioffi ◽  
Umberto Iemma

The optimal design methodologies in aeronautics are known to be constrained by the computational burden required by direct simulations. Due to this reason, the development of efficient metamodelling techniques represents nowadays an imperative need for the designers. In fact, surrogate models has been demonstrated to significantly reduce the number of high-fidelity evaluations, thus alleviating the computing effort. Over the last years, the aeronautical designers community has switched from a design approach predominantly based on direct simulations to an extensive use of metamodels. Recently, to further improve the efficiency, several dynamic approaches based on parameters self-tuning have been developed to support the metamodel construction. This work deals with the use of surrogate models based on Artificial Neural Network for the noise shielding of unconventional aircraft configurations. Here, the insertion loss field of the a Blended Wing Body is reproduced by means of advanced machine learning techniques. The relevant framework is the calculation of the noise emitted by innovative aircraft configurations by means of suitable corrections of existing well-assessed noise prediction tools. The self-tuning algorithm has demonstrated to be accurate and efficient, and the observed performance discloses the possibility to implement numerical strategies for the reliable and robust unconventional aircraft optimal design


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