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One method an Original Equipment Manufacturer (OEM) can apply to reduce development and manufacturing costs is family concept design: each product family member is designed fora different design point, but a significant amount of components is shared among the family members. In this case, a trade-off exists between member performance and commonality. In the design of complex systems, often many different architectures are possible, and the design space is too large to explore exhaustively. In this work, we present an application of a new architecture optimization method to the design of a family of passenger transport jets, with a focus on the sizing of the Environmental Control System (ECS) and Flight Control System (FCS).The architecture design space is modeled using the Architecture Design Space Graph (ADSG),a novel method for constructing model-based system architecture optimization problems. Deci-sions are extracted and the multi-objective optimization problem is automatically formulated.Objectives used are commonality, representing acquisition costs, and fuel burn, representing apart of operation costs. These metrics are evaluated using a cross-organizational collaborative multidisciplinary analysis toolchain, and the resulting Multidisciplinary Design Optimization(MDO) problem is solved using a multi-objective evolutionary optimization algorithm. The results show that the trade-off between commonality and fuel burn is only present above a certain commonality level.
", "publication_date": "2020-06-01", "publisher": "Zenodo", "resource_type": { "id": "publication-conferencepaper", "title": { "de": "Konferenzbeitrag", "en": "Conference paper" } }, "rights": [ { "description": { "en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited." }, "icon": "cc-by-icon", "id": "cc-by-4.0", "props": { "scheme": "spdx", "url": "https://creativecommons.org/licenses/by/4.0/legalcode" }, "title": { "en": "Creative Commons Attribution 4.0 International" } } ], "title": "Environmental and Flight Control System Architecture Optimization from a Family Concept Design Perspective." }, "parent": { "access": { "owned_by": { "user": 135515 } }, "communities": { "default": "679c728d-fd09-44d4-a5bd-ed2d6f5ec61c", "entries": [ { "access": { "member_policy": "open", "members_visibility": "public", "record_policy": "open", "review_policy": "open", "visibility": "public" }, "children": { "allow": false }, "created": "2020-09-16T14:13:35.322912+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "679c728d-fd09-44d4-a5bd-ed2d6f5ec61c", "links": {}, "metadata": { "curation_policy": "Contributions which are funded by AGILE4.0 project.
\r\n", "page": "AGILE 4.0 project funded by EU Commission H2020 Program, will provide the aircraft industry with a way to model, assess, and optimize complex aeronautical systems addressing the entire life cycle - Requirements, Design, Production, Supply chain, Certification and Maintenance. The project is coordinated by German Aerospace Center - Institute of System Architectures in Aeronautics. The consortium is composed of 16 international partners from Universities, Research Institutes and Industries.
\r\n\r\nThe high level objective of AGILE 4.0 is to bring significant reductions in aircraft development costs and time-to-market through the implementation of an integrated cyber-physical aeronautical supply chain, thereby increasing the competitiveness of the European aircraft industry, from integrators and high-tiers suppliers to SMEs, leading to innovative and more sustainable aircraft products.
\r\n\r\nTime: September 2019 - February 2023
\r\n\r\nWebsite: www.agile4.eu
\r\n\r\nLinkedIn : AGILE4.0
\r\n\r\nResearchGate : AGILE4.0
\r\n\r\nContact: info@agile4.eu
", "title": "AGILE4.0 - Towards cyber-physical Collaborative Aircraft Development" }, "revision_id": 0, "slug": "agile4", "updated": "2023-02-07T15:39:51.023665+00:00" } ], "ids": [ "679c728d-fd09-44d4-a5bd-ed2d6f5ec61c" ] }, "id": "4672193", "pids": {} }, "pids": { "doi": { "identifier": "10.2514/6.2020-3113", "provider": "external" }, "oai": { "identifier": "oai:zenodo.org:4672194", "provider": "oai" } }, "revision_id": 2, "stats": { "all_versions": { "data_volume": 118669644.0, "downloads": 122, "unique_downloads": 111, "unique_views": 74, "views": 78 }, "this_version": { "data_volume": 117696942.0, "downloads": 121, "unique_downloads": 110, "unique_views": 74, "views": 78 } }, "status": "published", "updated": "2021-04-09T00:27:23.196503+00:00", "versions": { "index": 1, "is_latest": true } }