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Khalil Al Handawi; Petter Andersson; Massimo Panarotto; Ola Isaksson; Michael Kokkolaras. Scalable Set-Based Design Optimization and Remanufacturing for Meeting Changing Requirements. 2021, 1 .
AMA StyleKhalil Al Handawi, Petter Andersson, Massimo Panarotto, Ola Isaksson, Michael Kokkolaras. Scalable Set-Based Design Optimization and Remanufacturing for Meeting Changing Requirements. . 2021; ():1.
Chicago/Turabian StyleKhalil Al Handawi; Petter Andersson; Massimo Panarotto; Ola Isaksson; Michael Kokkolaras. 2021. "Scalable Set-Based Design Optimization and Remanufacturing for Meeting Changing Requirements." , no. : 1.
Coping with changing requirements by means of introducing design margins may result in overdesign. In this paper, we present a design optimization method for minimizing overdesign by exploiting additive remanufacturing. Our problem formulation makes use of recently defined constituents of design margins: buffer and excess. The proposed method can be used to obtain a set of design decisions for different changing requirement scenarios. We demonstrate it using a turbine rear structure design problem where changes in the temperature loads are met by depositing different types of stiffeners on the outer casing. The results of the case study are visualized in a tradespace, which allows for comparison between sets of optimal, flexible, and robust designs. Results show that the optimized set of design decisions balances flexibility and robustness in a cost-effective manner.
Khalil Alhandawi; Massimo Panarotto; Petter Andersson; Ola Isaksson; Michael Kokkolaras. Optimization of Design Margins Allocation When Making Use of Additive Remanufacturing. Journal of Mechanical Design 2021, 1 -18.
AMA StyleKhalil Alhandawi, Massimo Panarotto, Petter Andersson, Ola Isaksson, Michael Kokkolaras. Optimization of Design Margins Allocation When Making Use of Additive Remanufacturing. Journal of Mechanical Design. 2021; ():1-18.
Chicago/Turabian StyleKhalil Alhandawi; Massimo Panarotto; Petter Andersson; Ola Isaksson; Michael Kokkolaras. 2021. "Optimization of Design Margins Allocation When Making Use of Additive Remanufacturing." Journal of Mechanical Design , no. : 1-18.
Jacob Muller; Massimo Panarotto; Ola Isaksson. Function Model-based Generation of CAD Model Variants. Computer-Aided Design and Applications 2021, 18, 1 .
AMA StyleJacob Muller, Massimo Panarotto, Ola Isaksson. Function Model-based Generation of CAD Model Variants. Computer-Aided Design and Applications. 2021; 18 (5):1.
Chicago/Turabian StyleJacob Muller; Massimo Panarotto; Ola Isaksson. 2021. "Function Model-based Generation of CAD Model Variants." Computer-Aided Design and Applications 18, no. 5: 1.
The higher satellite production rates expected in new megaconstellation scenarios involve radical changes in the way design trade-offs need to be considered by electric propulsion companies. In relative comparison, flexibility and qualification ability will have a higher impact in megaconstellations compared to traditional businesses. For these reasons, this paper proposes a methodology for assessing flexible propulsion architectures by taking into account variations in market behavior and qualification activities. Through the methodology, flexibility and qualification ability can be traded against traditional engineering attributes (such as functional performances) in a quantitative way. The use of the methodology is illustrated through an industrial case related to the study of xenon vs. krypton architectures for megaconstellation businesses. This paper provides insights on how to apply the methodology in other case studies, in order to enable engineering teams to present and communicate the impact of alternative architectural concepts to program managers and decision-makers.
Massimo Panarotto; Olivia Borgue; Ola Isaksson. Modelling Flexibility and Qualification Ability to Assess Electric Propulsion Architectures for Satellite Megaconstellations. Aerospace 2020, 7, 176 .
AMA StyleMassimo Panarotto, Olivia Borgue, Ola Isaksson. Modelling Flexibility and Qualification Ability to Assess Electric Propulsion Architectures for Satellite Megaconstellations. Aerospace. 2020; 7 (12):176.
Chicago/Turabian StyleMassimo Panarotto; Olivia Borgue; Ola Isaksson. 2020. "Modelling Flexibility and Qualification Ability to Assess Electric Propulsion Architectures for Satellite Megaconstellations." Aerospace 7, no. 12: 176.
The design of aircraft and engine components hinges on the use of computer aided design (CAD) models and the subsequent geometry-based analyses for evaluation of the quality of a concept. However, the generation (and variation) of CAD models to include radical or novel design solutions is a resource intense modelling effort. While approaches to automate the generation and variation of CAD models exist, they neglect the capture and representation of the product’s design rationale—what the product is supposed to do. The design space exploration approach Function and Geometry Exploration (FGE) aims to support the exploration of more functionally and geometrically different product concepts under consideration of not only geometrical, but also teleological aspects. The FGE approach has been presented and verified in a previous presentation. However, in order to contribute to engineering design practice, a design method needs to be validated through application in industrial practice. Hence, this publication reports from a study where the FGE approach has been applied by a design team of a Swedish aerospace manufacturers in a conceptual product development project. Conceptually different alternatives were identified in order to meet the expected functionality of a guide vane (GV). The FGE was introduced and applied in a series of workshops. Data was collected through participatory observation in the design teams by the researchers, as well as interviews and questionnaires. The results reveal the potential of the FGE approach as a design support to: (1) Represent and capture the design rationale and the design space; (2) capture, integrate and model novel solutions; and (3) provide support for the embodiment of novel concepts that would otherwise remain unexplored. In conclusion, the FGE method supports designers to articulate and link the design rationale, including functional requirements and alternative solutions, to geometrical features of the product concepts. The method supports the exploration of alternative solutions as well as functions. However, scalability and robustness of the generated CAD models remain subject to further research.
Jakob R. Müller; Massimo Panarotto; Ola Isaksson. Design Space Exploration of a Jet Engine Component Using a Combined Object Model for Function and Geometry. Aerospace 2020, 7, 173 .
AMA StyleJakob R. Müller, Massimo Panarotto, Ola Isaksson. Design Space Exploration of a Jet Engine Component Using a Combined Object Model for Function and Geometry. Aerospace. 2020; 7 (12):173.
Chicago/Turabian StyleJakob R. Müller; Massimo Panarotto; Ola Isaksson. 2020. "Design Space Exploration of a Jet Engine Component Using a Combined Object Model for Function and Geometry." Aerospace 7, no. 12: 173.
Additive manufacturing (AM) opens the vision of decentralised and individualised manufacturing, as a tailored product can be manufactured in proximity to the customers with minimal physical infrastructure required. Consequently, the digital infrastructure and systems solution becomes substantially more complex. There is always a need to design the entire digital system so that different partners (or stakeholders) access correct and relevant information and even support design iterations despite the heterogenous digital environments involved. This paper describes how the design and integration of a digital thread for AM can be approached. A system supporting a digital thread for AM kayak production has been designed and integrated in collaboration with a kayak manufacturer and a professional collaborative product lifecycle management (PLM) software and service provider. From the demonstrated system functionality, three key lessons learnt are clarified: (1) The need for developing a process model of the physical and digital flow in the early stages, (2) the separation between the data to be shared and the processing of data to perform each parties’ task, and (3) the development of an ad-hoc digital application for the involvement of new stakeholders in the AM digital flow, such as final users. The application of the digital thread system was demonstrated through a test of the overall concept by manufacturing a functional and individually customised kayak, printed remotely using AM (composed of a biocomposite containing 20% wood-based fibre).
Euan Bonham; Kerr McMaster; Emma Thomson; Massimo Panarotto; Jakob Ramon Müller; Ola Isaksson; Emil Johansson. Designing and Integrating a Digital Thread System for Customized Additive Manufacturing in Multi-Partner Kayak Production. Systems 2020, 8, 43 .
AMA StyleEuan Bonham, Kerr McMaster, Emma Thomson, Massimo Panarotto, Jakob Ramon Müller, Ola Isaksson, Emil Johansson. Designing and Integrating a Digital Thread System for Customized Additive Manufacturing in Multi-Partner Kayak Production. Systems. 2020; 8 (4):43.
Chicago/Turabian StyleEuan Bonham; Kerr McMaster; Emma Thomson; Massimo Panarotto; Jakob Ramon Müller; Ola Isaksson; Emil Johansson. 2020. "Designing and Integrating a Digital Thread System for Customized Additive Manufacturing in Multi-Partner Kayak Production." Systems 8, no. 4: 43.
The static relation between business and engineering design hinders the pace of innovation. While program managers often evaluate innovation in terms of financial value generated over a number of business scenarios, engineering design teams base their activities on improving product functionality and meeting technical requirements. This results in an insufficient common understanding during gate meetings about the business implications of alternative technological tradeoffs, thus negatively impacting the pace of innovation. This article presents the results from the introduction of a methodology–based on value and functional modeling–into the practice of design teams working with next-generation electric propulsion systems for satellite applications. The introduction of the methodology was evaluated via interviews, workshops, and observations with nine industrial partners. The results indicate business stakeholders and technology-focused design teams’ bidirectional interest in the methodology. In particular, the results highlight the benefits of the methodology in creating cross-boundary representations that can be used by stakeholders to share knowledge and find common ground in gate meetings. The dynamic interaction with such representations enables a faster decision-making pace during the management of innovation initiatives.
Massimo Panarotto; Ola Isaksson; Idris Habbassi; Nicolas Cornu. Value-Based Development Connecting Engineering and Business: A Case on Electric Space Propulsion. IEEE Transactions on Engineering Management 2020, PP, 1 -14.
AMA StyleMassimo Panarotto, Ola Isaksson, Idris Habbassi, Nicolas Cornu. Value-Based Development Connecting Engineering and Business: A Case on Electric Space Propulsion. IEEE Transactions on Engineering Management. 2020; PP (99):1-14.
Chicago/Turabian StyleMassimo Panarotto; Ola Isaksson; Idris Habbassi; Nicolas Cornu. 2020. "Value-Based Development Connecting Engineering and Business: A Case on Electric Space Propulsion." IEEE Transactions on Engineering Management PP, no. 99: 1-14.
Supporting designers is one of the main motivations for design research. However, there is an ongoing debate about the ability of design research to transfer its results, which are often provided in form of design methods, into practice. This article takes the position that the transfer of design methods alone is not an appropriate indicator for assessing the impact of design research by discussing alternative pathways for impacting design practice. Impact is created by different means – first of all through the students that are trained based on the research results including design methods and tools and by the systematic way of thinking they acquired that comes along with being involved with research in this area. Despite having a considerable impact on practice, this article takes the position that the transfer of methods can be improved by moving from cultivating method menageries to facilitating the evolution of method ecosystems. It explains what is understood by a method ecosystem and discusses implications for developing future design methods and for improving existing methods. This paper takes the position that efforts on improving and maturing existing design methods should be raised to satisfy the needs of designers and to truly support them.
Kilian Gericke; Claudia Eckert; Felician Campean; P. John Clarkson; Elias Flening; Ola Isaksson; Timos Kipouros; Michael Kokkolaras; Christian Köhler; Massimo Panarotto; Miriam Wilmsen. Supporting designers: moving from method menagerie to method ecosystem. Design Science 2020, 6, 1 .
AMA StyleKilian Gericke, Claudia Eckert, Felician Campean, P. John Clarkson, Elias Flening, Ola Isaksson, Timos Kipouros, Michael Kokkolaras, Christian Köhler, Massimo Panarotto, Miriam Wilmsen. Supporting designers: moving from method menagerie to method ecosystem. Design Science. 2020; 6 ():1.
Chicago/Turabian StyleKilian Gericke; Claudia Eckert; Felician Campean; P. John Clarkson; Elias Flening; Ola Isaksson; Timos Kipouros; Michael Kokkolaras; Christian Köhler; Massimo Panarotto; Miriam Wilmsen. 2020. "Supporting designers: moving from method menagerie to method ecosystem." Design Science 6, no. : 1.
Design requirements are often uncertain in the early stages of product development. Set-based design is a paradigm for exploring, and keeping under consideration, several alternatives so that commitment to a single design can be delayed until requirements are settled. In addition, requirements may change over the lifetime of a component or a system. Novel manufacturing technologies may enable designs to be remanufactured to meet changed requirements. By considering this capability during the set-based design optimization process, solutions can be scaled to meet evolving requirements and customer specifications even after commitment. Such an ability can also support a circular economy paradigm based on the return of used or discarded components and systems to working condition. We propose a set-based design methodology to obtain scalable optimal solutions that can satisfy changing requirements through remanufacturing. We first use design optimization and surrogate modeling to obtain parametric optimal designs. This set of parametric optimal designs is then reduced to scalable optimal designs by observing a set of transition rules for the manufacturing process used (additive or subtractive). The methodology is demonstrated by means of a structural aeroengine component that is remanufactured by direct energy deposition of a stiffener to meet higher loading requirements.
Khalil Al Handawi; Petter Andersson; Massimo Panarotto; Ola Isaksson; Michael Kokkolaras. Scalable Set-Based Design Optimization and Remanufacturing for Meeting Changing Requirements. Journal of Mechanical Design 2020, 143, 1 -20.
AMA StyleKhalil Al Handawi, Petter Andersson, Massimo Panarotto, Ola Isaksson, Michael Kokkolaras. Scalable Set-Based Design Optimization and Remanufacturing for Meeting Changing Requirements. Journal of Mechanical Design. 2020; 143 (2):1-20.
Chicago/Turabian StyleKhalil Al Handawi; Petter Andersson; Massimo Panarotto; Ola Isaksson; Michael Kokkolaras. 2020. "Scalable Set-Based Design Optimization and Remanufacturing for Meeting Changing Requirements." Journal of Mechanical Design 143, no. 2: 1-20.
Engineering design problems often have open-ended requirements, especially in the early stages of development. Set-based design is a paradigm for exploring, and keeping under consideration, several alternatives so that commitment to a single design can be delayed until requirements are settled. In addition, requirements may change over the lifetime of a component or a system. Novel manufacturing technologies enable designs to be remanufactured to meet changed requirements. By considering this capability during the set-based design optimization process, solutions can be scaled to meet evolving requirements and customer specifications even after commitment. Such an ability can also support a circular economy paradigm based on the return of used or discarded components and systems to working condition. We propose a set-based design methodology to obtain scalable optimal solutions that can satisfy changing requirements through remanufacturing. We first use design optimization and surrogate modeling to obtain parametric optimal designs. This set of parametric optimal designs is then reduced to scalable optimal designs by observing a set of transition rules for the manufacturing process used (additive or subtractive). The methodology is demonstrated by means of a structural aeroengine component that is remanufactured by direct energy deposition of a stiffener to meet higher loading requirements.
Khalil Al Handawi; Petter Andersson; Massimo Panarotto; Ola Isaksson; Michael Kokkolaras. Scalable Set-Based Design Optimization and Remanufacturing for Meeting Changing Requirements. Volume 11A: 46th Design Automation Conference (DAC) 2020, 1 .
AMA StyleKhalil Al Handawi, Petter Andersson, Massimo Panarotto, Ola Isaksson, Michael Kokkolaras. Scalable Set-Based Design Optimization and Remanufacturing for Meeting Changing Requirements. Volume 11A: 46th Design Automation Conference (DAC). 2020; ():1.
Chicago/Turabian StyleKhalil Al Handawi; Petter Andersson; Massimo Panarotto; Ola Isaksson; Michael Kokkolaras. 2020. "Scalable Set-Based Design Optimization and Remanufacturing for Meeting Changing Requirements." Volume 11A: 46th Design Automation Conference (DAC) , no. : 1.
Additive manufacturing (AM) is being used increasingly for repair and remanufacturing of aeroengine components. This enables the consideration of a design margin approach to satisfy changing requirements, in which component lifespan can be optimized for different lifecycle scenarios. This paradigm requires lifecycle cost (LCC) modeling; however, the LCC models available in the literature consider mostly the manufacturing of a component, not its repair or remanufacturing. There is thus a need for an LCC model that can consider AM for repair/remanufacturing to quantify corresponding costs and benefits. This paper presents a dynamic LCC model that estimates cumulative costs over the in-service phase and a nested design optimization problem formulation that determines the optimal component lifespan range to minimize overall cost while maximizing performance. The developed methodology is demonstrated by means of an aeroengine turbine rear structure.
Lydia Lawand; Massimo Panarotto; Petter Andersson; Ola Isaksson; Michael Kokkolaras. Dynamic Lifecycle Cost Modeling for Adaptable Design Optimization of Additively Remanufactured Aeroengine Components. Aerospace 2020, 7, 110 .
AMA StyleLydia Lawand, Massimo Panarotto, Petter Andersson, Ola Isaksson, Michael Kokkolaras. Dynamic Lifecycle Cost Modeling for Adaptable Design Optimization of Additively Remanufactured Aeroengine Components. Aerospace. 2020; 7 (8):110.
Chicago/Turabian StyleLydia Lawand; Massimo Panarotto; Petter Andersson; Ola Isaksson; Michael Kokkolaras. 2020. "Dynamic Lifecycle Cost Modeling for Adaptable Design Optimization of Additively Remanufactured Aeroengine Components." Aerospace 7, no. 8: 110.
The advent of additive manufacturing (AM) brings many benefits in terms of lightweight design. However, there is no established design for additive manufacturing (DfAM) method available, nor are all the impacts and constraints on the product and development process known. Therefore, a method to redesign existing products for AM is proposed. It consists of functional decomposition enhanced by constraints identification, and analyses of the impact on the design space. Furthermore, the approach defines a coupling of function and geometry models to support an inter-domain redesign process. The approach has been successfully applied in an industrial collaboration project with three aerospace companies, where the support of the method for design space exploration has been recognised. Future work sees the use of this method for design space exploration even outside the AM domain, but a more methodical definition of the relationship between the functional and geometrical domain is required to do so.
Jakob R. Müller; Olivia Borgue; Massimo Panarotto; Ola Isaksson. Mapping the design space in function and geometry models supporting redesign for additive manufacturing. J. of Design Research 2020, 18, 37 .
AMA StyleJakob R. Müller, Olivia Borgue, Massimo Panarotto, Ola Isaksson. Mapping the design space in function and geometry models supporting redesign for additive manufacturing. J. of Design Research. 2020; 18 (1/2):37.
Chicago/Turabian StyleJakob R. Müller; Olivia Borgue; Massimo Panarotto; Ola Isaksson. 2020. "Mapping the design space in function and geometry models supporting redesign for additive manufacturing." J. of Design Research 18, no. 1/2: 37.
Additive manufacturing (AM) is becoming increasingly attractive for aerospace companies due to the fact of its increased ability to allow design freedom and reduce weight. Despite these benefits, AM comes with manufacturing constraints that limit design freedom and reduce the possibility of achieving advanced geometries that can be produced in a cost-efficient manner. To exploit the design freedom offered by AM while ensuring product manufacturability, a model-based design for an additive manufacturing (DfAM) method is presented. The method is based on the premise that lessons learned from testing and prototyping activities can be systematically captured and organized to support early design activities. To enable this outcome, the DfAM method extends a representation often used in early design, a function–means model, with the introduction of a new model construct—manufacturing constraints (Cm). The method was applied to the redesign, manufacturing, and testing of a flow connector for satellite applications. The results of this application—as well as the reflections of industrial practitioners—point to the benefits of the DfAM method in establishing a systematic, cost-efficient way of challenging the general AM design guidelines found in the literature and a means to redefine and update manufacturing constraints for specific design problems.
Olivia Borgue; Jakob Müller; Alexander Leicht; Massimo Panarotto; Ola Isaksson. Constraint Replacement-Based Design for Additive Manufacturing of Satellite Components: Ensuring Design Manufacturability through Tailored Test Artefacts. Aerospace 2019, 6, 124 .
AMA StyleOlivia Borgue, Jakob Müller, Alexander Leicht, Massimo Panarotto, Ola Isaksson. Constraint Replacement-Based Design for Additive Manufacturing of Satellite Components: Ensuring Design Manufacturability through Tailored Test Artefacts. Aerospace. 2019; 6 (11):124.
Chicago/Turabian StyleOlivia Borgue; Jakob Müller; Alexander Leicht; Massimo Panarotto; Ola Isaksson. 2019. "Constraint Replacement-Based Design for Additive Manufacturing of Satellite Components: Ensuring Design Manufacturability through Tailored Test Artefacts." Aerospace 6, no. 11: 124.
For space manufacturers, additive manufacturing promises to dramatically reduce weight and costs by means of integral designs achieved through part consolidation. However, integrated designs hinder the ability to change and service components over time – actually increasing costs – which is instead enabled by highly modular designs. Finding the optimal trade-off between integral and modular designs in additive manufacturing is of critical importance. In this article, a product modularisation methodology is proposed for supporting such trade-offs. The methodology is based on combining function modelling with optimisation algorithms. It evaluates product design concepts with respect to product adaptability, component interface costs, manufacturing costs and cost of post-processing activities. The developed product modularisation methodology is derived from data collected through a series of workshops with industrial practitioners from three different manufacturer companies of space products. The implementation of the methodology is demonstrated in a case study featuring the redesign of a satellite antenna.
Olivia Borgue; Massimo Panarotto; Ola Isaksson. Modular product design for additive manufacturing of satellite components: maximising product value using genetic algorithms. Concurrent Engineering 2019, 27, 331 -346.
AMA StyleOlivia Borgue, Massimo Panarotto, Ola Isaksson. Modular product design for additive manufacturing of satellite components: maximising product value using genetic algorithms. Concurrent Engineering. 2019; 27 (4):331-346.
Chicago/Turabian StyleOlivia Borgue; Massimo Panarotto; Ola Isaksson. 2019. "Modular product design for additive manufacturing of satellite components: maximising product value using genetic algorithms." Concurrent Engineering 27, no. 4: 331-346.
One problem in incremental product development is that geometric models are limited in their ability to explore radical alternative design variants. In this publication, a function modeling approach is suggested to increase the amount and variety of explored alternatives, since function models (FM) provide greater model flexibility. An enhanced function-means (EF-M) model capable of representing the constraints of the design space as well as alternative designs is created through a reverse engineering process. This model is then used as a basis for the development of a new product variant. This work describes the EF-M model's capabilities for representing the design space and integrating novel solutions into the existing product structure and explains how these capabilities support the exploration of alternative design variants. First-order analyses are executed, and the EF-M model is used to capture and represent already existing design information for further analyses. Based on these findings, a design space exploration approach is developed. It positions the FM as a connection between legacy and novel designs and, through this, allows for the exploration of more diverse product concepts. This approach is based on three steps – decomposition, design, and embodiment – and builds on the capabilities of EF-M to model alternative solutions for different requirements. While the embodiment step of creating the novel product's geometry is still a topic for future research, the design space exploration concept can be used to enable wider, more methodological, and potentially automated design space exploration.
Jakob R. Müller; Ola Isaksson; Jonas Landahl; Visakha Raja; Massimo Panarotto; Christoffer Levandowski; Dag Raudberget. Enhanced function-means modeling supporting design space exploration. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 2019, 33, 502 -516.
AMA StyleJakob R. Müller, Ola Isaksson, Jonas Landahl, Visakha Raja, Massimo Panarotto, Christoffer Levandowski, Dag Raudberget. Enhanced function-means modeling supporting design space exploration. Artificial Intelligence for Engineering Design, Analysis and Manufacturing. 2019; 33 (4):502-516.
Chicago/Turabian StyleJakob R. Müller; Ola Isaksson; Jonas Landahl; Visakha Raja; Massimo Panarotto; Christoffer Levandowski; Dag Raudberget. 2019. "Enhanced function-means modeling supporting design space exploration." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 33, no. 4: 502-516.
Aero-engine component design decisions should consider re-manufacturing and/or repair strategies and their impact on lifecycle cost. Existing design approaches do not account for alternative production technologies such as the use of additive manufacturing in life extension processes. This paper presents a modeling and optimization methodology for examining the impact of design decisions in the early development stage on component lifecycle cost during the in-service phase while considering the potential use of additive manufacturing in life extension strategies. Specifically, a system dynamics model is developed to assess different end-of-life scenarios. Finally, an optimization problem is formulated and solved to minimize lifecycle cost with respect to design variables related to re-manufacturing.
Lydia Lawand; Khalil Al Handawi; Massimo Panarotto; Petter Andersson; Ola Isaksson; Michael Kokkolaras. A Lifecycle Cost-Driven System Dynamics Approach for Considering Additive Re-Manufacturing or Repair in Aero-Engine Component Design. Proceedings of the Design Society: International Conference on Engineering Design 2019, 1, 1343 -1352.
AMA StyleLydia Lawand, Khalil Al Handawi, Massimo Panarotto, Petter Andersson, Ola Isaksson, Michael Kokkolaras. A Lifecycle Cost-Driven System Dynamics Approach for Considering Additive Re-Manufacturing or Repair in Aero-Engine Component Design. Proceedings of the Design Society: International Conference on Engineering Design. 2019; 1 (1):1343-1352.
Chicago/Turabian StyleLydia Lawand; Khalil Al Handawi; Massimo Panarotto; Petter Andersson; Ola Isaksson; Michael Kokkolaras. 2019. "A Lifecycle Cost-Driven System Dynamics Approach for Considering Additive Re-Manufacturing or Repair in Aero-Engine Component Design." Proceedings of the Design Society: International Conference on Engineering Design 1, no. 1: 1343-1352.
Novel product concepts are often down-selected in favour of the incremental development of available designs. This can be attributed to the fact that for the development of a new product, simulations and analysis based on high-fidelity CAD models are required, which are expensive to create. To solve this problem, the use of a function model (FM) as intermediate step between ideation and embodiment is suggested.The approach has been examined in a case study with an aerospace company for the development of a turbine rear assembly, using multiple workshops and interviews with practitioners from the company. A multitude of novel solutions, even extending the functionality of the legacy design, were captured. The FM approach proved to support the representation, analysis, and configuration of 102 different concepts. Although supported by the FM model, the embodiment still showed to be a bottle neck for further development. The subsequent interviews with practitioners showed that the benefits of the approach were seen, but experienced as too complex.Further work will concern a more systematic connection between the FM and CAD model, in order to automate of the embodiment process.
Jakob R. Müller; Massimo Panarotto; Ola Isaksson. Connecting Functional and Geometrical Representations to Support the Evaluation of Design Alternatives for Aerospace Components. Proceedings of the Design Society: International Conference on Engineering Design 2019, 1, 1423 -1432.
AMA StyleJakob R. Müller, Massimo Panarotto, Ola Isaksson. Connecting Functional and Geometrical Representations to Support the Evaluation of Design Alternatives for Aerospace Components. Proceedings of the Design Society: International Conference on Engineering Design. 2019; 1 (1):1423-1432.
Chicago/Turabian StyleJakob R. Müller; Massimo Panarotto; Ola Isaksson. 2019. "Connecting Functional and Geometrical Representations to Support the Evaluation of Design Alternatives for Aerospace Components." Proceedings of the Design Society: International Conference on Engineering Design 1, no. 1: 1423-1432.
In recent years, reducing cost and lead time in product development and qualification has become decisive to stay competitive in the space industry. Introducing Additive Manufacturing (AM) could potentially be beneficial from this perspective, but high demands on product reliability and lack of knowledge about AM processes make implementation challenging. Traditional approaches to qualification are too expensive if AM is to be used for critical applications in the near future. One alternative approach is to consider qualification as a design factor in the early phases of product development, potentially reducing cost and lead time for development and qualification as products are designed to be qualified. The presented study has identified factors that drive qualification activities in the space industry and these “qualification drivers” serve as a baseline for a set of proposed strategies for developing “Design for Qualification” guidelines for AM components. The explicit aim of these guidelines is to develop products that can be qualified, as well as appropriate qualification logics. The presented results provide a knowledge-base for the future development of such guidelines.
Christo Dordlofva; Olivia Borgue; Massimo Panarotto; Ola Isaksson. Drivers and Guidelines in Design for Qualification Using Additive Manufacturing in Space Applications. Proceedings of the Design Society: International Conference on Engineering Design 2019, 1, 729 -738.
AMA StyleChristo Dordlofva, Olivia Borgue, Massimo Panarotto, Ola Isaksson. Drivers and Guidelines in Design for Qualification Using Additive Manufacturing in Space Applications. Proceedings of the Design Society: International Conference on Engineering Design. 2019; 1 (1):729-738.
Chicago/Turabian StyleChristo Dordlofva; Olivia Borgue; Massimo Panarotto; Ola Isaksson. 2019. "Drivers and Guidelines in Design for Qualification Using Additive Manufacturing in Space Applications." Proceedings of the Design Society: International Conference on Engineering Design 1, no. 1: 729-738.
The engineering design community needs to development tools and methods now to support emerging technological and societal trends. While many forecasts exist for technological and societal changes, this paper reports on the findings of a workshop, which addressed trends in engineering design to 2040. The paper summarises the key findings from the six themes of the workshop: societal trends, ways of working, lifelong learning, technology, modelling and simulation and digitisation; and points to the challenge of understanding how these trends affect each other
Claudia Eckert; Ola Isaksson; Sophie Hallstedt; Johan Malmqvist; Anna Öhrwall Rönnbäck; Massimo Panarotto. Industry Trends to 2040. Proceedings of the Design Society: International Conference on Engineering Design 2019, 1, 2121 -2128.
AMA StyleClaudia Eckert, Ola Isaksson, Sophie Hallstedt, Johan Malmqvist, Anna Öhrwall Rönnbäck, Massimo Panarotto. Industry Trends to 2040. Proceedings of the Design Society: International Conference on Engineering Design. 2019; 1 (1):2121-2128.
Chicago/Turabian StyleClaudia Eckert; Ola Isaksson; Sophie Hallstedt; Johan Malmqvist; Anna Öhrwall Rönnbäck; Massimo Panarotto. 2019. "Industry Trends to 2040." Proceedings of the Design Society: International Conference on Engineering Design 1, no. 1: 2121-2128.
Additive Manufacturing (AM) offers the potential to increase the ability to customise large-scale plastic components. However, a substantial amount of manual work is still required during the customisation process, both in design and manufacturing.This paper looks into how the additive manufacturing of mass customised large-scale products can be supported. Data was collected through interaction with industrial partners and potential customers in a case study regarding the customisation of kayaks.As a result, the paper proposes a model-based methodology which combines design automation with a user interface.The results point to the benefit of the proposed methodology in terms of design efficiency, as well as in terms of displaying results to the end user in an understandable format.
Drew Lithgow; Cara Morrison; George Pexton; Massimo Panarotto; Jakob R. Müller; Lars Almefelt; Andrew McLaren. Design Automation for Customised and Large-Scale Additive Manufacturing: A Case Study on Custom Kayaks. Proceedings of the Design Society: International Conference on Engineering Design 2019, 1, 699 -708.
AMA StyleDrew Lithgow, Cara Morrison, George Pexton, Massimo Panarotto, Jakob R. Müller, Lars Almefelt, Andrew McLaren. Design Automation for Customised and Large-Scale Additive Manufacturing: A Case Study on Custom Kayaks. Proceedings of the Design Society: International Conference on Engineering Design. 2019; 1 (1):699-708.
Chicago/Turabian StyleDrew Lithgow; Cara Morrison; George Pexton; Massimo Panarotto; Jakob R. Müller; Lars Almefelt; Andrew McLaren. 2019. "Design Automation for Customised and Large-Scale Additive Manufacturing: A Case Study on Custom Kayaks." Proceedings of the Design Society: International Conference on Engineering Design 1, no. 1: 699-708.