This paper chronicles and reflects on the processes and the meanings of a project of speculative design that creates a narrative based on the scientific notion of phytomining, the activity of extracting metals from the soil using plants. The paper reflects on the ability of the project of bringing together people from different expertise, as a successful case study of Speculative Design and Research through Practice. Besides the scientific and technical challenges posed by GeoMerce, the authors of this paper reflect on the critical framework that set the basis for such a complex project.

Water scarcity and resource depletion can be expected during the climate crisis. Therefore, thermally loaded processes in particular, must be made more efficient in the future. Heat exchangers will play a key role in this optimization process. More efficient designs allow a greater heat flow to be removed from processes while mass flows remain constant. In this context, the heat-transferring wall of heat exchangers is a focus of current research on the design of heat exchangers. The aim is to increase the heat-transferring surface of the wall as much as possible and to keep the design space as compact as possible. Therefore, this study investigates the suitability of the differential-growth method for generating complex heat-transferring walls for heat exchangers using CFD-analysis. Firstly, a framework for generating the wall structures and a computational model for predicting the design influence of such structures for the thermal and fluid-dynamic behavior of the heat exchanger are presented. Thereby, the potential of such wall structures is analyzed in this study. Furthermore, the study identified weaknesses of such walls designed with the differential-growth method, which should be the focus of future investigations.

The earliest stage in the innovation lifecycle, problem formulation, is crucial for setting direction in an innovation effort. When faced with an interesting problem, engineers commonly assume the approximate solution area and focus on ideating innovative solutions. However, in this project, NASA and their contracted partner, Accenture, collaboratively conducted problem discovery to ensure that solutioning efforts were focused on the right problems, for the right users, and addressing the most critical needs—in this case, exploring weather tolerant operations (WTO) to further urban air mobility (UAM) – known as UAM WTO. The project team leveraged generative, qualitative methods to understand the ecosystem, players, and where challenges in the industry are inhibiting development. The complexity of the problem area required that the team constantly observe and iterate on problem discovery, effectively “designing the design process.” This paper discusses the approach, methodologies, and selected results, including significant insights on the application of early-stage design methodologies to a complex, system-level problem.

Mental imagery is the experience of perceiving an object within one's own mind and is a subjective experience, leading to difficulties in the research and understanding of the phenomenon. This paper documents the development and verification of a framework for researching the elements of mental imagery. The framework was developed following a review of both psychology and design literature which signified three fundamental conceptual viewpoints of mental imagery: imagery modalities, dimensions of imagery ability, and imagery processes. The aim of this framework is to allow for structured research on mental imagery in any given research field. This is verified through discussion for the product design engineering discipline and provides a base for future work on this topic. The conclusions made in this paper reveal that mental imagery, and particularly visual mental imagery, is largely considered to be integral in design overlooking the different realities of designers and confirming a greater need to understand mental imagery experiences in product design engineering.

Many activities in the new product development requires the decision making to find the final solution from multiple alternatives and make an evaluation. Even methods to support decision maker are available, the decision can go to the wrong direction because of heuristics. “Decoy effect” is a heuristic that appears in a comparison when 2 of 3 alternatives are similar but different in quality. The alternative that is similar but better in quality is possibly selected. The paper aims to understand the decoy effect by investigating it in the pairwise comparison that is a powerful technique for comparing alternatives. In an experiment, 3 ideas for the next generation of apple peeler are compared in pairs with different sequences. An impact of the decoy alternative on the comparison between other two alternatives, is investigated. Results show low impact of the decoy effect in the pairwise comparison, but this effect induces a high chance of selecting the decoy alternative when comparing the results from this study and the previous study by proposing 3 alternatives in the same sequence. Applying pairwise comparison to avoid decoy effect is thus an idea that will be further investigated.

The requirements space is increasing due to non-functional areas such as security, resilience and sustainability gaining in importance. This creates a complex and dynamic space which makes it hard for engineers to take good data driven design decisions. Increasing the quality of design decisions allows to better set up development projects and develop more successful products and services. The design can most heavily be influenced in the early design phases, where design flexibility is high and resource commitment is low. Unfortunately, the system knowledge is also low in early phases. The Engineering Graph is a concept that connects data from different internal and external sources. It allows to connect product data stored in Product Lifecycle Management systems with system models and also add external sources from the Wikimedia Knowledge Graph, World Health Organization and World Bank. This interconnected data allows the support of engineers in managing the complex and dynamic requirement space and provide high system knowledge in the early design phases to support design decisions.

The overarching goal of this work is to support creative ideation in engineering design with the aim of overcoming design fixation. We study the impact of abstract representations and ways to frame the problem in design briefs on the creativity of concept sketches. Framing/Reframing involves shifting perspectives on the design purpose and to reveal insights and opportunities. Two Framing/Reframing techniques are tested: the Ishikawa/Fishbone Diagram to identify root causes and a blend of Parnes’ Restatement/SCAMPER method to encourage divergence in problem perception. Abstract representations of requirements were used as stimuli to foster transfer and associative thinking. Using a full-factorial experimental design with brief variations, C-Sketch ideas developed by first-year engineering/architecture students were evaluated for their creativity. Our results showed a positive interaction effect for novelty and usefulness when the Fishbone Reframing method was used with abstract representation, but there was no difference in creativity scores when comparing the two Framing/Reframing methods between each other.

The development of technical systems requires close cooperation of stakeholders from different disciplines. This collaboration takes place in workshops. Driven by digitalization and by the current pandemic such workshops take place primarily online. Suitable collaboration tools and methods are crucial to success. At the beginning of such workshops, use and damage scenarios are identified. In this paper, we presented a method and tool for identifying and modeling use and damage scenarios, which we evaluated in 14 online workshops with a total of 118 participants over a period of almost 3 years.

The utilization of data in design is a crucial aspect of shaping the product and service development. Despite the lack of extensive research on this subject, this study aims to bridge the gap by introducing the ‘D³IKIT’, a data-driven design process and toolkit. Through workshops, this process and toolkit offer a practical method for creating innovative product and service concepts using data and machine learning. Developed and tested with the participation of 42 individuals, the ‘D³IKIT’ provides valuable insights for both practitioners and academics.

Additive Manufacturing is doing its first steps in the production of spare parts. Usually the spares belong to legacy systems, and the tooling to produce them is no longer available. Re-designing spares that are designed for a previous industry mindset can be sometimes challenging. In this study a rather classic design approach is compared to a functional driven approach. Four case studies from different clients are reported, remarking the benefits and drawbacks of using design for additive manufacturing practices in Laser Powder Bed Fusion.

The additive manufacturing of parts made from close-to-production materials poses a great challenge. One example are highly viscous silicones, as used in injection moulding. For small production quantities, the manufacturing of injection moulds is uneconomical. This paper presents tensile specimens printed with an in-house developed dispensing system, which are analysed for air cavities (micro-CT scans) and mechanical properties. Based on the results, advice for the design and slicing parameters of parts using high-viscosity silicones in AM by means of material extrusion are developed.

In last years, an increasing attention on environmental matters is registered. Companies face environmental matters to increase the environmental performances of their products, forced by numerous legislations, normative and protocols and induced to the growing attention of consumers toward environmentally friendly products. However, observing the industrial context, it emerges there are several barriers for implementation of eco-design strategies inside design departments. The paper presents a tool which aims at both providing a basic guide on environmental sustainability issues and favouring the knowledge sharing among the different actors of the product design process. The core of the tool is a repository in which company materials, organized and collected in different forms, are collected. The repository contains several parts: training, guidelines, knowledge and milestone, accordingly to the type, structure and form of materials stored. The eco-design tool functions, structure, and workflow are presented and then preliminary test cases are described.

A comprehensive domain independent system-level perspective of conceptualization of design is a major driver for successful product development. Such a general design model, Integral Design, was developed based on a specific Dutch design method, Methodical design, which was aimed specifically for applications in the Mechanical Engineering domain. The design method was specifically developed with the help of experiences designers and is meant for young students in a multi-disciplinary design context, such as building design. Integral design provides a suitable framework, existing of phases and specific steps, for guiding users through the design process. It support not only the designers but also helps them to make the process explicit and to communicate the actions and results to their stakeholders. The focus in this paper is on presenting the overall frame work of the design method. In the Netherlands in several bachelor and master educational programs at Technical High schools and the University of Technology Eindhoven use this model to teach students mechanical engineering design and building services design. As such it is one of the most popular design method in the Netherlands.

Engineering knowledge forms an essential part of our planetary fight against climate change. Traditionally, engineering curricula emphasizes the importance of technical knowledge and encourages to specialize in niche areas, where engineers develop themselves into experts. However, it is important to be able to reflect on complex societal challenges from a variety of perspectives to produce not only innovative, but also long-lasting and inclusive solutions for the greater good. This paper aims to understand the extent of systems thinking abilities of engineers by differentiating experts from novices. The study traces sustainability connections made by professional engineers and master's level engineering students when solving engineering design problems. This qualitative study highlights seven recurring themes that relate to the global sustainability discourse and describe a problem-centred approach through a real-life case that focuses on paper and pulp production, through a thematic analysis of 59 responses. The results portray system-level differences in how novice and expert engineers approach sustainability questions and how these differences shape their solution spaces.

The literature lacks methodologies to make supply chains of composite materials circular. The proposed approach aims to transform scraps and off-specification products into secondary raw materials. Its novelty is to find innovative applications, instead of re-introducing scraps in the loop they come from. The case study investigates how scraps can be re-worked and re-used as raw material. First, the processes are analyzed; some components are then re-designed to be made of the discarded scraps (composites material). Results reveal that the symbiosis can ensure green, high performing products.

The proper use of methods is increasingly important as design challenges are more complex and involve more stakeholders. Such work also demands high reflective ability from designers. Reflective thought processes do not necessary produce positive outcomes for the process and the individual involved. Positive reflection is goal oriented while negative reflection is typically self-oriented. In design education, reflection by students is often treated as rather trivial or only rudimentary support is offered. Research in cognitive science shows that poor reflection can hurt students' well-being, abilities and confidence over time. Thus, there is a need to better understand method use and reflection in design education more specifically when done poorly. We take a theory-building approach and interviewed 12 design students and recent graduates and investigated instances of method use where these led to negative experiences and effects. In doing so, we show different types of negative experiences that students have when using methods, the effects that these experiences have and how they relate to problematic use of methods and poor reflection practices. We end with implications for design education and design research.

The digitalization of the Industry is one of the megatrends taking place, but many companies struggle to follow this trend. The main reason is the absence of simple solutions for the integration of sensory functions, which are applicable to the existing system. Therefore, this paper discusses the aspects of simplicity in the context of integrating sensory functions into existing systems, to support the development of digitalized products.

Two general requirements can be formulated for a solution to be applicable simple: The first requirement is affected by the product structure. The solution must affect the least possible amount of modules and must not interfere with the interfaces of the modular platform. The second requirement is affected by the effort to model the behaviour of the desired information and the possible data a sensory function is delivering. The effort to develop a reliable solution has to be compared with the commercial potential of the solution.

To consider the mentioned requirements, the paper explains three approaches to assess the simplicity of solutions on an example of the desired monitoring of the functions of a rotary plug valve.

Design ideation is a critical early step in any design process and especially challenging for novice designers. This paper introduces the “Systematic Brainstorming Ideation (SBI)” method that, as part of a wider design ideation process, improves the range and number of design concepts generated by novice designers. In this paper we give a brief introduction to the design ideation method to set a context for SBI and then introduce SBI in more detail. Evaluation experiments with 101 novice designers, based in UK and South Korea, are reported. Results indicate a 30% improvement in the number of design concepts generated.

Flexibility analysis helps improve the expected value of engineering systems under uncertainty (economic and/or social). Designing for flexibility, however, can be challenging as a large number of design variables, parameters, uncertainty drivers, decision making possibilities and metrics must be considered. Many available techniques either rely on assumptions that are not suitable for an engineering setting, or may be limited due to computational intractability. This paper makes the case for an increased integration of Machine Learning into flexibility and real options analysis in engineering systems design to complement existing design methods. Several synergies are found and discussed critically between the fields in order to explore better solutions that may exist by analyzing the data, which may not be intuitive to domain experts. Reinforcement Learning is particularly promising as a result of the theoretical common grounds with latest methodological developments e.g. decision-rule based real options analysis. Relevance to the field of computational creativity is examined, and potential avenues for further research are identified. The proposed concepts are illustrated through the design of an example infrastructure system.

This paper provides a preliminary assessment of the literature available in the field of External Technology Searching. Many methods exist to enable companies to take advantage of new technologies and apply them to achieve a competitive advantage. This literature review focuses on reducing complexity and providing clarity related to the numerous different terms and methodologies used throughout the literature. The main methods found in the literature include: Technology Foresight, Technology Forecasting, Technology Intelligence, and Technology Scouting. However, many additional terms have also been used to describe similar strategies, leading to inconsistency in the use of the terms, resulting in confusion and missed opportunities to innovate for those trying to navigate the field. Synthesis of the results assists in clarifying the differences and conflicts in the literature between the numerous terms. The results serve to display the state of the art on the field and present a basis for further research.