A Novel Holistic Index for the Optimization of Composite Components and Manufacturing Processes with Regard to Quality, Life Cycle Costs and Environmental Performance
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Open AccessArticleA Novel Holistic Index for the Optimization of Composite Components and Manufacturing Processes with Regard to Quality, Life Cycle Costs and Environmental Performance byChristos V. Katsiropoulos *,† and Spiros G. Pantelakis † Laboratory of Technology & Strength of Materials, Department of Mechanical Engineering & Aeronautics, University of Patras, Panepistimioupolis Rion, 26500 Patras, Greece*Author to whom correspondence should be addressed. †These authors contributed equally to this work.Aerospace 2020, 7(11), 157; https://doi.org/10.3390/aerospace7110157Received: 4 September 2020 / Revised: 13 October 2020 / Accepted: 26 October 2020 / Published: 30 October 2020(This article belongs to the Special Issue Advances in Aerospace Sciences and Technology)Download PDFBrowse FigureCite This PaperAbstractIn the present work, a novel holistic component and process optimization index is introduced. The Index is aimed to provide a decision support tool for the optimization of aircraft composite components and manufacturing processes as well as for the selection of the appropriate manufacturing technique of a component when various techniques are considered as manufacturing options. The criteria involved in the index are quality, cost and environmental footprint functions which are considered to be interdependent. In the present concept quality is quantified through measurable technological features which are required for the component under consideration. Cost has been estimated by implementing the Activity Based Concept (ABC) using an in house developed tool. Environmental footprint is assessed by exploiting the ReCiPe method using the ‘open LCA’ software. The weight factor of each of the above criteria in the Index is calculated by using the Multi Criteria Decision (MCD) method Analytic Hierarchy Process (AHP). The Index developed has been applied to support the selection of the appropriate production technique for a typical aeronautical composite part. The alternative manufacturing options considered have been the Automated Fiber Placement (AFP) as well as the classical Autoclave manufacturing technique. By considering quality as the prevailing factor for meeting a decision the index confirms the advantage of the Autoclave process. Yet, by considering the environmental footprint and/or cost to be of equal or higher significance to quality, the implementation of the index demonstrates the clear advantage of AFP process.Keywords: process modeling; life cycle analysis; cost analysis; automated fiber placement (AFP); composite materials; aeronautic component process modeling; life cycle analysis; cost analysis; automated fiber placement (AFP); composite materials; aeronautic component►▼Show FiguresGraphical abstract
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly citedShare and CiteMDPI and ACS StyleKatsiropoulos, C.V.; Pantelakis, S.G. A Novel Holistic Index for the Optimization of Composite Components and Manufacturing Processes with Regard to Quality, Life Cycle Costs and Environmental Performance. Aerospace 2020, 7, 157.
AMA StyleKatsiropoulos CV, Pantelakis SG. A Novel Holistic Index for the Optimization of Composite Components and Manufacturing Processes with Regard to Quality, Life Cycle Costs and Environmental Performance. Aerospace. 2020; 7(11):157.
Chicago/Turabian StyleKatsiropoulos, Christos V.; Pantelakis, Spiros G. 2020. "A Novel Holistic Index for the Optimization of Composite Components and Manufacturing Processes with Regard to Quality, Life Cycle Costs and Environmental Performance." Aerospace 7, no. 11: 157.
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» Author: Christos V. Katsiropoulos
» Reference: Aerospace 2020, Vol. 7, Page 157
This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement Nº 768737