Goulos I.,Cranfield University |
Pachidis V.,Cranfield University |
D'Ippolito R.,NOESIS Solutions |
Stevens J.,National Aerospace Laboratory Netherlands |
Journal of Engineering for Gas Turbines and Power | Year: 2012
This work focuses on the development and application of a generic methodology targeting the design of optimum rotorcraft operations in terms of fuel burn, gaseous emissions, and ground noise impact. An integrated tool capable of estimating the performance and emitted noise of any defined rotorcraft configuration within any designated mission has been deployed. A comprehensive and cost-effective optimization strategy has been structured. The methodology has been applied to two generic, baseline missions representative of current rotorcraft operations. Optimally designed operations for fuel burn, gaseous emissions, and ground noise impact have been obtained. A comparative evaluation has been waged between the acquired optimum designs. The respective trade-off arising from the incorporation of flight paths optimized for different objectives has been quantified. Pareto front derived models for fuel burn and emitted noise have been structured for each mission. The Pareto models have been subsequently deployed for the design of operations optimized in a multidisciplinary manner. The results have shown that the proposed methodology is promising with regards to achieving simultaneous reduction in fuel burn, gaseous emissions, and ground noise impact for any defined mission. The obtainable reductions are found to be dependent on the designated mission. Finally, the potential to design optimum operations in a multidisciplinary fashion using only a single design criterion is demonstrated. © 2012 American Society of Mechanical Engineers.
Agency: European Commission | Branch: FP7 | Program: CP | Phase: FoF-ICT-2013.7.1 | Award Amount: 21.66M | Year: 2013
The importance of advanced simulation to the competitiveness of both large and small companies is well established. The principal objective of Fortissimo is to enable European manufacturing, particularly small to medium enterprises (SMEs), to benefit from the efficiency and competitive advantage inherent in the use of simulation. However, the simulation of, for example, high-pressure gas cylinders, the moulding of plastics or the thermodynamic properties of hazardous materials requires enormous computing power and specialised software tools and services. Generally, large companies, which have a greater pool of skills and resources, find access to advanced simulation easier than SMEs which can neither afford expensive High Performance Computing equipment nor the licensing cost for the relevant tools. This means that SMEs are not able to take advantage of advanced simulation, even though it can clearly make them more competitive. The goal of Fortissimo is to overcome this impasse through the provision of simulation services running on a cloud infrastructure making use of High Performance Computing systems also making appropriate skills and tools available in a distributed, internet-based environment.\n\nFortissimo will make advanced simulation more easily accessible, particularly to SMEs, through the realisation of a one-stop shop where hardware, expertise, applications, visualisation and tools will be easily available and affordable on a pay-per-use basis. In doing this it will create and demonstrate a sustainable commercial ecosystem where actors at all levels in the value chain can realise sufficient commercial benefit to enable that ecosystem to persist independently of EU funding and continue to provide affordable services to manufacturing industry, particularly SMEs.\n\nFortissimo will be driven by end-user requirements where (~50) business-relevant application experiments will be used to develop, test and demonstrate both the infrastructure and the one-stop pay-per-use shop. The project participants represent all actors in the value chain. Not only will Fortissimo contribute to the increased competitiveness of European manufacturing industry through the innovative infrastructure that it will develop and test, but it will create commercial opportunities for European Independent Software Vendors, as well as for service and High Performance Computing infrastructure providers, through the creation of a new market for their products and services. Fortissimo places considerable emphasis on the exploitation of opportunities at all levels of the value chain ranging from the end-user to the High Performance Computing infrastructure provider.\n\nFortissimo involves 1,132 months of effort, a total cost of 21.7m and EC funding of 16m over a duration of three years, commensurate with achieving its ambitious goals.
Agency: European Commission | Branch: H2020 | Program: IA | Phase: FoF-09-2015 | Award Amount: 11.42M | Year: 2015
Fortissimo 2 will drive the uptake of advanced modelling, simulation and data analytics by European engineering and manufacturing SMEs and mid-caps. Such an uptake will deliver improved design processes, better products and services, and improved competitiveness. For the European Union as a whole this means improved employment opportunities and economic growth. The importance of advanced ICT to the competitiveness of both large and small companies in the engineering and manufacturing domain is well established. Despite early successes in this area, there are still many barriers to the uptake of such solutions, not least of which are the initial cost and complexity of adoption, particularly in the context of challenging trading conditions. This proposal targets the ICT Innovation for Manufacturing SMEs (I4MS) action line (Phase 2) and builds on Phase 1 of that initiative. Phase 2 addresses the adoption of next generation ICT advances in the manufacturing domain. At the core of Fortissimo 2 are three tranches of Application Experiments (~35 in total). An initial set is included in this proposal and two further sets will be obtained through Open Calls for proposals. These experiments will be driven by the requirements of first-time users (predominately SMEs) and will bring together actors from across the value chain, from cycle providers to domain experts via the Fortissimo Marketplace. This will enable innovative solutions to manufacturing challenges, leading to new and improved design processes, products and services. A key feature of Fortissimo 2 will be the adaption of the Marketplace to meet the needs of end-users. It will offer a responsive and reliable service to companies which want to access HPC and Big resources and expertise. Fortissimo 2 initially involves 732 months of effort, a total cost of 11.1m and EC funding of 10m over a duration of three years, commensurate with achieving its ambitious goals.
Agency: European Commission | Branch: FP7 | Program: CP-IP | Phase: FoF.NMP.2011-5 | Award Amount: 10.32M | Year: 2011
Today, Europes leading position in manufacturing of high-precision metal parts is being threatened by developed non-EU countries that catch up quickly on product quality at low cost. If no further action is taken, loss of jobs and GDP are at risk. To face global competition, a breakthrough is needed in tackling the following 4 challenges: 1) High number of defects 2) Many costly, energy consuming finishing operations are needed. 3) Continuous trend for higher quality, smaller features, lower costs, at simultaneous demand for customised products. 4) Six-Sigma methodology reaches its limits for these complex processes (multi step / customised). MEGaFiT will realise this essential breakthrough. The primary goal of MEGaFiT is to develop and integrate all necessary technologies which create the basis to reduce the number of defects in manufacturing of complex high-precision metal parts. This will be achieved by developing and integrating in-depth process knowledge, in-line measurement and real-time adaptive process control. Proof will be given on pilot production lines in industrial settings. MEGaFiT will do this with a consortium of partners best-in-class in these fields. The methodology that will be used to come to efficient realisation is the following: (1) Define and describe the process (2) Measure actual process performance (3) Identify potential adaptive control solutions (4) Design adaptive control solutions and (5) Verify the adaptive control solution. This methodology will result in reduction of: defects from 5-15% to <1%; cost by >20%; material and energy consumption by >20%; and number of finishing operations by >35%. The knowledge-based MEGaFiT results are also applicable in different sectors, leading to low defects, despite customization trends. MEGaFiT will therefore help in assuring a competitive and sustainable European manufacturing industry.
Agency: European Commission | Branch: FP7 | Program: CP | Phase: ICT-2007.1.2 | Award Amount: 4.03M | Year: 2008
The existing licensing models for commercial applications are focusing on software used on compute resources within an administrative domain. A problem occurs when we want to use this software in a distributed service oriented infrastructure where the resources are often not in the same administrative domain that hosts the license server which is authorizing the application use. Today licenses usually are bound to hardware within the domain of the user and do not allow access from outside thus enforcing local use of the protected applications only. The Grid approach in contrary is about using distributed resources from different domains. The experience made in many recent projects trying to use commercial applications in Grid systems clearly indicates a technological barrier of current licensing mechanisms that must be overcome before the Grid becomes a fully commercial productive environment.\n\nSMARTLM solution is to implement licenses as Grid services thus providing platform-independent access just like other Grid resources. Service Level Agreements based on evolving standards will then govern licenses. Depending on the level of trust signed or encrypted, agreements will be used to transport licenses through the Grid to the resource to which a user has been granted access to execute his application tasks. The agreement on a license and the conditions of use for an application will be reached through negotiation between service providers and service customers.\n\nSMARTLM will provide new generic licensing virtualization technology based on standards as WS-Agreement and WS-Negotiation and integrate it in the major Grid middlewares. The project will also identify new service-oriented business models for this approach. A number of widely-used license-protected commercial applications will be adapted to be executed under control of the new licensing mechanisms and will become part of a highly quality show-case to convince more code-owners to adapt their applications.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: MG-1.1-2014 | Award Amount: 8.97M | Year: 2015
AGILE targets multidisciplinary optimization using distributed analysis frameworks. The involvement of many disciplinary analyses ranging up to high levels of fidelity and agile workflow management are considered to be state-of-the-art and starting point for AGILE. Advanced optimization techniques and strategies will be developed in order to exploit available computing systems and to gain faster convergence to optimal solutions. Surrogates, decomposition, robust design and uncertainties, global-local optimization, mixed fidelity optimization and system-of-system optimization are central fields of research. Operating the coupled numerical system and interpreting the high fidelity results requires collaboration of heterogeneous specialists. Techniques for collaboration are the second scientific objective of AGILE using the research on optimization techniques as use case. The interactions between humans and the interactions of the design team with the numerical system both are investigated. Knowledge-enabled information technologies will be developed in order to support the collaboration process constituting the third, outer-most layer of the nested research concept. Novel technologies are iteratively implemented, tested and enhanced. Use cases are realistic overall aircraft design tasks for conventional, strut-braced, box-wing and BWB configurations. The project is set up to proof a speed up of 40% for solving realistic MDO problems compared to todays state-of-the-art. The resulting technologies will be made available; amongst others via an Open MDO Test Suite. Reduced development costs and reduced time to market will enable a more agile way of collaboration and joint development and experimenting on innovative products. AGILE pronounces the collaboration of SME, RES and HES in order to contribute to IND-centred virtual extended enterprises. AGILE considers all pre-existing conventions and will contribute to the CRESCENDO results and dissemination plan.
Agency: European Commission | Branch: FP7 | Program: CP | Phase: ICT-2009.4.3 | Award Amount: 4.66M | Year: 2011
Data and knowledge management technologies are of strategic importance for industrial innovation, provided they are integrated in the company processes, in the organisational structure, and can be flexibly adapted to company evolution. In particular the Product Development Process (PDP) of manufacturing companies, requires the efficient management of huge amounts of data from different sources and their integration in the subprocesses that compose the product chain. The efficient use of information lifecycle, by the large adoption of virtual testing and by the inter-functional management of related data in the product management would become a strategic advantage for the innovation race. Present ICT solutions separately address parts of product development, but an integrated approach that includes data and services required for the whole Product Development Process does not yet exist.iProd will improve the efficiency and quality of the Product Development Process developing a flexible, service oriented, customer driven software framework that will be the backbone of computer systems associated with current and new development processes. To achieve these goals, iProd will rely on knowledge management (KM), knowledge based engineering (KBE) and process integration and automation technologies.iProd will assume the challenge of complexity, semantic diversity and richness of content establishing semantically rich, open and transparent methodologies that will enable knowledge workers from aerospace, automotive and home appliances industries to manage product and process complexity, managing higher value information like functional specifications, requirements, decision rationale and engineering and business knowledge in general. This knowledge base along with a reasoning engine will support information sharing, collaboration across companies, common understanding of PDP among different industries and will promote efficient decision taking.
Ali F.,Cranfield University |
Tzanidakis K.,Cranfield University |
Goulos I.,Cranfield University |
D'Ippolito R.,NOESIS Solutions
Journal of Engineering for Gas Turbines and Power | Year: 2015
This paper aims to present an integrated rotorcraft conceptual design and analysis framework, deployed for the multidisciplinary design and optimization of regenerative powerplant configurations in terms of rotorcraft operational and environmental performance. The proposed framework comprises a wide-range of individual modeling theories applicable to rotorcraft flight dynamics, gas turbine engine performance, and weight estimation as well as a novel physics-based, stirred reactor model for the rapid estimation of gas turbine gaseous emissions. A multi-objective particle swarm optimizer (mPSO) is coupled with the aforementioned integrated rotorcraft multidisciplinary design framework. The combined approach is applied to conduct multidisciplinary design and optimization of a reference twin engine light civil rotorcraft modeled after the Airbus-Helicopters Bo105 helicopter, operating on representative mission scenario. Through the implementation of a multi-objective optimization study, Pareto front models have been acquired, quantifying the optimum interrelationship between the mission fuel consumption and gaseous emissions for the representative rotorcraft and a variety of engine configurations. The acquired optimum engine configurations are subsequently deployed for the design of conceptual rotorcraft regenerative engines, targeting improved mission fuel economy, enhanced payload range capability, as well as improvements in the rotorcraft overall environmental impact. The proposed methodology essentially constitutes an enabler in terms of focusing the multidisciplinary design and optimization of rotorcraft powerplants within realistic, three-dimensional operations and toward the realization of their associated design trade-offs at mission level. Copyright © 2015 by ASME.
Agency: European Commission | Branch: FP7 | Program: JTI-CS | Phase: JTI-CS-2009-1-SGO-02-003 | Award Amount: 398.39K | Year: 2010
EHWAZ is a professional software solution dedicated to the sizing, analysis and optimization of electrical wire harnesses in aeronautic context. Starting from an electrical harness definition (logical and wire harness CAD-info and equipment definition), the tool checks whether harnesses comply with user-defined business rules. The harness definitions are then used to create a physical electro-thermal model (Modelica and/or C based). These models are used to simulate the transient electro-thermal phenomena in function of A/C missions and the location of the harness in the A/C. Automated post processing build map of heat flow from the harness to its environment (by branch & by A/C zone), and global results for the harness are reported by wire and by branch: weight, temperature, voltage drop, heat flow. Additionally, the electrical simulation allows plotting the current evolution, temperature and the electrical resistance over time and by wire. The voltage drop includes the current path return with respect to the A/C technology (metal, composite or hybrid). The simulation results are linked to and benchmarked with the professional rules (user-defined by integrator and/or supplier). Eventually, an optimization process is included to help the harness designer sizing and selecting the right wire. The optimization technology takes into account the multiple constraints, discrete standard aeronautical wire database. The optimization wants to achieve minimal harness weight & costs versus an electro-thermal safe, reliable & robust harness. The output of the optimization is an XML file describing the optimized harness selection in term of wire type and gauge. Besides wires optimization, the connectors are challenged to find a lighter global harness. The mechanism of professional rules extension associated with the formalism chosen for models creation offers the possibility to further extend the capacity of the tool.
Agency: European Commission | Branch: FP7 | Program: JTI-CS | Phase: JTI-CS-2013-1-SGO-02-056 | Award Amount: 296.30K | Year: 2014
Complexity in modern aircrafts is increasing significantly. They incorporate more electric systems since other subsystems that used to be pneumatic or hydraulic are being replaced by electric systems. As a consequence, the wire harnesses that are used to connect those systems to each other must also convey more signals. The industrial-grade wiring harness acts as the central nervous system to many device and vehicle electronics designs, particularly in the aeronautic and aerospace segments. As applications become increasingly complex, innovation in wiring harness design and manufacturing techniques becomes more critical. This project will research and implement new methods for more efficiently driving design data toward fully automated design optimization so to better analyse costs, to help ensure the successful design and manufacture of new wiring harness products. For this purpose, the goal of this project is to link the unique state-of-the-art surrogate modelling technologies available at Noesis to develop new surrogate-based optimization techniques and software solutions suitable to solve wire harness large scale optimization problems. The resulting hybrid, adaptive and robust optimization strategy will allow optimization of high dimensional systems (HAROS-HD, Hybrid Adaptive Robust Optimization Strategy for High Dimensional systems) by means of smart adoption of model order reduction techniques coupled with surrogate models. The main advantages of this approach include: -Design engineers do not need to spend time and effort trying to understand their design space before choosing a suitable optimization algorithm. HAROS-HD will learn about the design space and employ the appropriate algorithms as it proceeds toward finding an optimized solution. -Design engineers are not required to be experts in optimization algorithms and applications, because HAROS-HD will intelligently adapt the optimization strategy by selecting the most appropriate method to use.