Knowledge Based Design Method for Fibre Metal Laminate Fuselage Panels

2005 ◽  
Author(s):  
B. Vermeulen ◽  
M. J. L. van Tooren ◽  
L. J. B. Peeters
Keyword(s):  
Design Process ◽  
Knowledge Engineering ◽  
Early Stage ◽  
Design Method ◽  
Current Approach ◽  
Design Approach ◽  
Design Parameters ◽  
Maintenance Cost ◽  
Engineering Process ◽  
Fibre Metal

Fibre Metal Laminates (FML) are a member of the hybrid materials family, consisting of alternating metal layers and layers of fibres embedded in a resin. Improved damage resistance and tolerance result in a significant weight and maintenance cost reduction compared to aluminium. FML also give the aircraft engineer additional design freedom, such as local tailoring of laminate properties. However, experience has shown that FML’s provide the aircraft manufacturer with many challenges as well. With increasing complexity of the structure, requirements from different disciplines within the engineering process will start to interfere, resulting in conflicts. This article discusses the current engineering process of FML fuselage panels as applied at Stork/Fokker Aerospace (FAESP). A case study is presented, clarifying the current design process and the way requirements start to interfere during the engineering process. A new approach based on Knowledge Engineering is discussed, implementing knowledge from engineers from all disciplines in an early stage of the design process. An automated design approach for FML fuselage panels is presented, using the same design parameters as the current approach. Because of the high complexity of the design, requirements start to conflict. Fulfilling all requirements with a traditional engineering approach results in an iterative and time consuming process. Automation of the design process, integrating knowledge and requirements from all disciplines, results in a fast and transparent design approach.

Research on Mechanical Wrench Tool Innovative Design Method

2011 ◽  
Vol 341-342 ◽  
pp. 286-290
Author(s):  
Xiao Ping Chen ◽  
Jin Rong ◽  
Ru Fu Hu
Keyword(s):  
Design Process ◽  
Design Method ◽  
Design Approach ◽  
Innovative Design ◽  
Machinery Industry ◽  
Design Scheme ◽  
Industry Performance ◽  
Mechanical Products

Machinery industry changes with each passing day, asking for the more and more importance of the machinery industry performance. The innovative design needs to be used to tools designing for improving the work more efficiency. Take the wrench product designing as an example, this article analyzes the issue of the mechanical products innovation, applies the theories of innovation to a manual wrench innovative design and puts forward the thought of the wrench innovative design scheme, principles and the design process. In the end, the design scheme is evaluated, which indicates that the innovative design approach can be applied to a manual wrench design.

A generative design approach for modular construction in congested urban areas

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yuxi Wei ◽  
Hyungjoo Choi ◽  
Zhen Lei
Keyword(s):  
Urban Areas ◽  
Design Method ◽  
Residential Building ◽  
Information Modeling ◽  
Design Approach ◽  
Design Parameters ◽  
Building Structures ◽  
Modular Construction ◽  
Generative Design ◽  
Content Type

PurposeModular construction is widely adopted and used in the construction industry to improve construction performance with respect to both efficiency and productivity. The evaluation of design options for modular construction can be iterative, and thus automation is required to develop design alternatives. This research aims to explore the potential of utilizing the generative design approach to automate modular construction for residential building structures in urban areas such as New York City.Design/methodology/approachThe proposed research methodology is investigated for a systematic approach to parametrize design parameters for modular construction layout design as well as incorporate design rules/parameters into modularizing design layouts in a Building Information Modeling (BIM) environment. Based on current building codes and necessary inputs by the user, the proposed approach enables providing recommendations in a generative design method and optimizes construction processes by performing analytical calculations.FindingsThe generative design has been found to be efficient in generating layout designs for modular construction based on parametric design. The integration of BIM and generative design can allow industry practitioners to fast generate design layout with evaluations from constructability perspectives.Originality/valueThis paper has proposed a new approach of incorporating generative design with BIM technologies to solve module layout generations by considering design and constructability constraints. The method can be further extended for evaluating modular construction design from manufacturability and assembly perspectives.

Systematic Study of the Hydrodynamic Forces on a Sailing Yacht Hull Using Parametric Design and CFD

2011 ◽  
Author(s):  
Lionel Huetz ◽  
Bertrand Alessandrini
Keyword(s):  
Wind Speed ◽  
Design Process ◽  
Parametric Design ◽  
Early Stage ◽  
Hydrodynamic Forces ◽  
Design Parameters ◽  
Shape Parameters ◽  
Prediction Program ◽  
The Matrix ◽  
Sailing Yacht

In order to predict the velocity and attitude of a sailing yacht travelling in a given wind speed and wind angle, the hydrodynamic problem and the aerodynamic problem need most of the time to be decoupled. Two matrices are built to characterize the hydrodynamic and the aerodynamic behavior separately. Then a Velocity Prediction Program (VPP) interpolates the matrices and finds the equilibrium between the forces acting on the hull and appendages on one side, and the forces acting on the sails on the other side. This gives the velocity and attitude of the yacht depending on the wind speed and wind angle. Two main approaches are currently used to build the hydrodynamic matrix. The first method is to build a reduced or a virtual model with the proper hull shape and test it in a towing tank or a Computational Fluid Dynamics (CFD) program. This approach can lead to a very precise estimation of the matrix for a given hull shape, but it is time consuming and gives no indication on other possible hull shapes. The second method is to build and test various hull shapes and use this database to build analytical formulas describing the evolution of the hydrodynamic forces depending on the speed and attitude, but also on the hull shape, via several “shape parameters”. During the early stage of design, numerous hulls are to be evaluated, and it is very valuable to understand the influence of the design parameters on hydrodynamic efficiency of the hull. Therefore, the second method should be much more efficient at this stage of the design process. The most used regressions have been provided by J.A. Keuning et al., based on the Delft Systematic Yacht Hull Series, [1], [2]. This work began in 1971; the sailing yacht hull shapes have changed a lot since then. The aim of the present work is to enhance these regressions, by using new shapes in the database and by adding new “shape parameters” to describe the hulls. A powerful loop driven by the commercial software ModeFrontier has been developed in order to build a database by means of CFD. Systematic morphing of the hull shapes, parallel computing, automatic meshing and automatic post-treatment will provide a large database in a relatively short time. The aim of the ongoing work is to improve the accuracy and sensitivity of the prediction of yacht hull performance during the early stages of the design process. The study will focus on flat water, steady predictions. The following results concern exclusively bare hulls, the interaction between the hull and its appendages will be treated separately.

scholarly journals RAPID DESIGN OF MAIZE EAR HARVESTER HEADER BASED ON KNOWLEDGE ENGINEERING

2020 ◽  
Vol 61 (2) ◽  
pp. 263-272 ◽  
Author(s):  
Tai Jianjian ◽  
Li Haitao ◽  
Du Yuefeng ◽  
Mao Enrong ◽  
Zhang Junnan ◽  
...  
Keyword(s):  
Design Process ◽  
Knowledge Engineering ◽  
Design Method ◽  
Design System ◽  
Design Knowledge ◽  
Agricultural Machinery ◽  
Design And Development ◽  
Rapid Design ◽  
Combine Harvester ◽  
Maize Ear

In the design process of maize combine harvester in China, there are characteristics of customization and high demand for diversification. Aiming at the problems of long design and development cycle, the structural design method of maize combine harvester header based on knowledge engineering is put forward, and the header of maize combine harvester is designed rapidly. Firstly, based on the design standards and specifications of agricultural machinery, the general design process of maize ear harvester header is determined. Secondly, according to the design knowledge and experience, the design method of the core parts of the header is determined, and an example model is established. Finally, based on the platform of MFC and Creo, integrating the design knowledge base, inference engine and parametric model, a rapid design system of maize ear harvester header is constructed. The rapid design of maize ear harvester header is realized, and the design and development efficiency of maize ear harvester header is improved so as to provide technical reference and support for improving the intelligent level of typical complex agricultural machinery equipment in China.

scholarly journals Design of Shape Memory Alloy Coil Spring Actuator for Improving Performance in Cyclic Actuation

Materials ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 2324 ◽  
Author(s):  
Je-sung Koh
Keyword(s):  
Shape Memory Alloy ◽  
Shape Memory ◽  
Design Process ◽  
Mechanical Design ◽  
Design Method ◽  
Martensite Phase ◽  
Design Parameters ◽  
Coil Spring ◽  
Actuation Frequency ◽  
Maximum Shear Strain

Performance of the shape memory alloy (SMA) coil spring actuator in cyclic actuation as an artificial muscle is strongly related to the mechanical design of the coil geometry. This paper proposes a practical design method for improving the frequency and efficiency of the SMA coil spring actuator; by designing the SMA coil spring to have large index (coil diameter/wire diameter) and pitch angle (LIP), cooling characteristics can be improved (increasing the actuation frequency) and large deformation can be obtained. The LIP design process is based on the two-state static model that describes the displacement-force relationship of the SMA coil spring in two states—a fully austenite phase and a fully martensite phase. The design process gives accurate design parameters of the SMA coil spring actuator that satisfy the required stroke and force. The model of the fully martensite phase of the SMA coil that includes the stress-induced detwinning enables the use of maximum shear strain of the SMA. The design method reduces the mass of an SMA without changing the stroke and increase the power density and efficiency. The cyclic actuation experiments demonstrate that the LIP design doubles the maximum frequency of SMA coil actuator with one-sixth the mass of the non-LIP design.

scholarly journals Multilayer Machine Learning-Assisted Optimization-Based Robust Design and Its Applications to Antennas and Arrays

2020 ◽  
Author(s):  
Weiqi Chen ◽  
Qi Wu ◽  
Chen Yu ◽  
Haiming Wang ◽  
Wei Hong
Keyword(s):  
Machine Learning ◽  
Design Process ◽  
Robust Design ◽  
Design Method ◽  
Computation Time ◽  
Design Parameters ◽  
Worst Case Analysis ◽  
Worst Case ◽  
And Performance ◽  
Robust Design Method

An efficient multilayer machine learning-assisted optimization (ML-MLAO)-based robust design method is proposed for antenna and array applications. Machine learning methods are introduced into multiple layers of the robust design process, including worst-case analysis (WCA), maximum input tolerance hypervolume (MITH) searching, and robust optimization, considerably accelerating the whole robust design process. First, based on a surrogate model mapping between the design parameters and performance, WCA is performed using a genetic algorithm to ensure reliability. MITH searching is then carried out using a double-layer MLAO (DL-MLAO) framework to find the MITH of the given design point. Next, based on the training set obtained using DL-MLAO, correlations between the design parameters and the MITH are learned. The robust design is carried out using surrogate models for both the performance and the MITH, and these models are updated online following the ML-MLAO scheme. Furthermore, two examples, including an array synthesis problem and an antenna design problem, are used to verify the proposed ML-MLAO method. Finally, the numerical results and computation time are discussed to demonstrate the effectiveness of the proposed method.

scholarly journals Developing design principles for a Virtual Hospice: improving access to care

2017 ◽  
Vol 8 (1) ◽  
pp. 53-57 ◽  
Author(s):  
Andrea Taylor ◽  
Tara French ◽  
Sneha Raman
Keyword(s):  
Design Process ◽  
Participatory Design ◽  
Early Stage ◽  
Design Principles ◽  
Design Approach ◽  
Rural Setting ◽  
Ageing Population ◽  
Design Work ◽  
Analysis And Design ◽  
Early Stage Design

ObjectivesProviding access to hospice services will become increasingly difficult due to the pressures of an ageing population and limited resources. To help address this challenge, a small number of services called Virtual Hospice have been established. This paper presents early-stage design work on a Virtual Hospice to improve access to services provided by a hospice (Highland Hospice) serving a largely remote and rural population in Scotland, UK.MethodsThe study was structured as a series of Experience Labs with Highland Hospice staff, healthcare professionals and patients. Experience Labs employ a participatory design approach where participants are placed at the centre of the design process, helping to ensure that the resultant service meets their needs. Data from the Experience Labs were analysed using qualitative thematic analysis and design analysis.ResultsA number of themes and barriers to accessing Highland Hospice services were identified. In response, an initial set of seven design principles was developed. Design principles are high-level guidelines that are used to improve prioritisation and decision making during the design process by ensuring alignment with research insights. The design principles were piloted with a group of stakeholders and gained positive feedback.ConclusionsThe design principles are intended to guide the ongoing development of the Highland Hospice Virtual Hospice. However, the challenges faced by Highland Hospice in delivering services in a largely remote and rural setting are not unique. The design principles, encompassing digital and non-digital guidelines, or the design approach could be applied by other hospices in the UK or overseas.

scholarly journals Multilayer Machine Learning-Assisted Optimization-Based Robust Design and Its Applications to Antennas and Arrays

2020 ◽  
Author(s):  
Weiqi Chen ◽  
Qi Wu ◽  
Chen Yu ◽  
Haiming Wang ◽  
Wei Hong
Keyword(s):  
Machine Learning ◽  
Design Process ◽  
Robust Design ◽  
Design Method ◽  
Computation Time ◽  
Design Parameters ◽  
Worst Case Analysis ◽  
Worst Case ◽  
And Performance ◽  
Robust Design Method

An efficient multilayer machine learning-assisted optimization (ML-MLAO)-based robust design method is proposed for antenna and array applications. Machine learning methods are introduced into multiple layers of the robust design process, including worst-case analysis (WCA), maximum input tolerance hypervolume (MITH) searching, and robust optimization, considerably accelerating the whole robust design process. First, based on a surrogate model mapping between the design parameters and performance, WCA is performed using a genetic algorithm to ensure reliability. MITH searching is then carried out using a double-layer MLAO (DL-MLAO) framework to find the MITH of the given design point. Next, based on the training set obtained using DL-MLAO, correlations between the design parameters and the MITH are learned. The robust design is carried out using surrogate models for both the performance and the MITH, and these models are updated online following the ML-MLAO scheme. Furthermore, two examples, including an array synthesis problem and an antenna design problem, are used to verify the proposed ML-MLAO method. Finally, the numerical results and computation time are discussed to demonstrate the effectiveness of the proposed method.

A Growth Design Approach for Tolerancing

2008 ◽  
Author(s):  
Ke-Zheng Huang ◽  
Huai-Wei Ren
Keyword(s):  
Product Design ◽  
Design Process ◽  
Early Stage ◽  
Design Method ◽  
Mathematic Model ◽  
Basic Feature ◽  
Product Structure ◽  
Structure Design ◽  
Tolerance Allocation ◽  
Product Design Process

Tolerancing is an essential part of a product design process. It is traditionally performed after the product structure has been determined. The product precision requirements may not be fully utilized for the decision making for selecting the best structure in the early stage of product design — the conceptual design phase. A growth design method has been proposed for product structure design and concurrent tolerancing, in which the product form and tolerance can be generated in the same way as an organism grows. The basic feature of biology, cell division, has been borrowed as the design guiding principle. Product conceptual model has been built as the basis of form and tolerance growth design. The relationship of product function, structure and tolerance was analysed to explain on what and how they act in product design process. Tolerance mathematic model expressed by screw parameters and expression model based on Technologically and Topologically Related Surface (TTRS) are described to execute the tolerance allocation. The automation selection of Datum reference frame (DRF) can facilitate the generation of tolerance. Finally, a prototype form design and tolerancing system has been implemented and applied to a dedicated fixture design to verify the validity of the growth design.

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