Lattice structures are lightweight and possess other unique mechanical and physical properties. Additive manufacturing techniques are often used to produce these structures. Additive manufacturing provides manufacturing freedom that significantly surpasses the one provided by conventional subtractive manufacturing. However, a gap exists between the manufacturing freedom and the geometric modelling freedom in additive manufacturing: it can be extremely challenging to model the designed part because of its high geometric complexity, such as heterogeneous lattice structures. While several tools on the market allow geometric modelling of such structures available on the market, the customization of lattice parameters can still be significantly improved. Moreover, no open-source tools exist to address this issue or to model lattice structures in general. This work presents a novel open-source library for the geometric modelling of lattice structures with customized parameters. The parameter customization is enabled with the function representation approach.

Digital engineering is increasingly established in the industrial routine. Especially the application of machine learning on geometry data is a growing research issue. Driven by this, the paper presents a new method for the classification of mechanical components, which utilizes the projection of points onto a spherical detector surfaces to transfer the geometries into matrices. These matrices are then classified using deep learning networks. Different types of projection are examined, as are several deep learning models. Finally, a benchmark dataset is used to demonstrate the competitiveness.

PLM systems are key enabling systems in the development of today's products. Introduction of a new PLM capability is an expensive and risky undertaking. Many implementation projects end in tears in the sense that they are frequently late or even cancelled. In this paper, a federated PLM architecture pattern – Genesis – is introduced and evaluated against prevalent PLM approaches. From an architecture perspective, Genesis with its two distinct integration tiers decrease the number of integration points and thus cost and complexity.

Design for disassembly (DfD) approaches are crucial in supporting the industrial circular economy transition. In literature, a great amount of DfD methodologies is available, however, it is still not clear how they can be used to improve product circularity. To address this gap, our work proposed a systematic literature review of DfD methodologies applied in the field of product design with the aim to provide an overview of the topic in the last decade (i.e., from 2012 to 2022) in terms of methods applicability (i.e., design phase), required parameters and integration capability with circularity assessment. As a result, the paper shows that DfD methods are mainly used in the later design phase to improve product sustainability performances, but a method that simultaneously considers DfD and CE is currently missing. Based on the obtained results, we outlined the requirements that a new DfX method would need to consider both DfD and CE simultaneously. Finally, we proposed a modified version of the butterfly diagram in which DfD parameters are linked to CE indicators to help visualize the connection between the two areas.

Early consideration of failure modes in the feature development process is essential to identify and trace risks across the physical and embedded AI components of intelligent systems, to enhance the robustness of the feature delivery as well as trust in the AI. This paper introduces an extension of the AIAG/VDA function failure modes taxonomy, to facilitate the integrated analysis of complex intelligent systems with embedded AI. A case study of an autonomous driving feature is discussed as validation of the proposed taxonomy.

Numerous and complex sequence of activities in medical device development often result in time consuming and expensive engineering processes. In this study, patient and designer requirements were identified and integrated within a novel framework which supports medical device design through a consolidated understanding of user-experience whilst directly coalescing the applicable regulatory requirements in terms of product compliance and certification. This assists in the development of safe and reliable products which reflect the need for increased usability considerations during design.

The study of design cognitive activity began in the 70s under the influence of psychology and ergonomics. Since then, the design process has undergone many changes with the advent of technology. This paper will notably present you to one of them: the Spatial Augmented Reality (SAR). The study conducted with this technology will focus on multimodal analysis in co-design meetings were we have compared two co-design sessions. We notice that the design activity is unchanged by the introduction of such a technology but could encourage interactions from clients who are usually less invested.

Design hackathons offer a unique research opportunity to study time-pressured collaborative design. At the same time, research on design hackathons faces unique methodological challenges, prompting the exploration of new research approaches. This paper proposes a new data-collection framework that leverages a virtual format of hackathon events and enables a deeper insight into hackathon dynamics. The framework applicability is presented through a case study of the IDEA challenge hackathon, in which different intrusive and non-intrusive data collection approaches were used.

Environmental sustainability represents an unavoidable design driver. The consciousness of the importance of tackle the topic of environmental sustainability since the first stages of the product lifecycle is slowly spreading through enterprises. However, although they reach this grade of awareness, it is hard to introduce additional considerations to the traditional drivers of functionality, manufacturability, assembly, cost, etc. Therefore, it is crucial to identify methods and tools to support companies in efficiently integrating environmental sustainability issues in their design process. This paper proposes an approach to identify the inputs, functionality and outputs suitable to each industrial reality. Its core is the eco-design tool matrix, that estimates the tool implementation time and suggests proper outputs; from this the necessary inputs and functional blocks are derived. The approach is applied to the cases of two Italian industries, very different one another. This proves the wide applicability of the approach. The definition of a validation procedure represents the next steps to identify the benefits of the approach.

Education for Sustainable Development requires raising individuals' awareness of problems relevant to the environment. We designed a Generative Toolkit that supports industrial design students carrying out a Speculative Design task and through this process initiates greater problem awareness of low metal recycling rates. In this paper we give insights into the Toolkit's theoretical derivation and the design process. Findings from testing suggest that there are several opportunities for improvement, such as considering further content-related competencies in the Toolkit's design.

Though many engineering schools are integrating sustainability in the curriculum, most are still struggling, especially with social sustainability. The aim with this study was to test a process created to help students work systematically with these issues. Results show that students in the study did indeed benefit from structured process support as their general knowledge level of social sustainability issues as well as their understanding of how to integrate them in a product assessment was very low. Reflections from teaching staff on how to further develop such a process are also shared.

Today, information and knowledge as competitive factors influence the success of companies as much as traditional production factors like human resources or physical capital. However, the reuse of design knowledge still represents a major challenge for engineering organizations. That is, because barriers exist hindering a successful knowledge reuse. On the basis of a literature review, the research depicted in this paper analyses the relation between single information conveying design knowledge and barriers hindering a successful knowledge reuse. Developing a model-based approach, we propose a micro logic containing three steps and underlying methods enabling practitioners to identify situation-specific barriers within their organization. We illustrate the industrial application of the approach in a case study at a mining machinery OEM.

In this paper, a proposal for a new method to design load-adaptive microlattice structures for PBF-LB/M manufacturing is presented. For this purpose, a method was developed to stiffen microlattice structures in particular by using self-similar sub-cells to ensure their manufacturability. The quality of the stiffness increase was investigated and verified by finite element simulations. Subsequently, the simulation results were critically discussed with respect to their potential for future design processes for architected materials.

Healthcare systems are under strain, this creates a challenge for designers to develop solutions for better health and care delivery. This paper presents a sandbox of illustrative design themes used to improve health systems based on state of the art research projects. These were collated from presentations at The Second International Meeting on Healthcare Systems Design Research, held at DTU-Technical University of Denmark. Attending groups were mapped based on their research keywords, target journals and methodologies in order to gain insight on the communities research landscape.

Design, delivery and improvement processes in healthcare is of great challenge due to increasing pressures on healthcare systems alongside inherent complexities, resulting in limited benefits or unforeseen consequences. A recent Systems Approach framework has aimed at responding to the calls about implementing a more holistic approach. Though being an approach in its own right that can iteratively and systematically structure, guide, and/or facilitate design and improvement projects in healthcare, it can also augment existing approaches that have already place in healthcare designers' and improvement practitioners' agendas. Thus, the objective of this paper is to compare and contrast the questions, activities, and tools of the Systems Approach with processes of other major improvement approaches in healthcare to demonstrate their coverages, overlaps, and extended and new opportunities to pursue in the light of the Systems Approach.

Product-service systems (PSSs) have attracted researchers in engineering design for the past decades. Recent advances in digital technologies have expanded the potential functionalities that PSSs could deliver and designers' repertoire of tools and techniques to make new value propositions. The key to the success of new value propositions is to achieve customer acceptance and continuous use. However, little is known about the precise routes by which customers accept and use PSSs over time and its dynamics. This conceptual study aims to provide an enhanced view of customer acceptance and continuous use of PSSs by integrating multiple theories and literature streams. In this paper, we suggest three propositions based on the key concepts found in our literature review—well-being, trust and control—, and illustrate a conceptual framework that represents the dynamics of customer acceptance and continuous use of PSSs. Based on the proposed framework, we outline further research questions that could advance our knowledge about design for continuous use of PSSs.

One of the aims of systems engineering is to develop systems with a number of pre-defined configurations, in order to operate effectively and efficiently in different contexts and environments. Early in the design phase, system reconfiguration allows to propose and optimize these configurations. With regard to the literature review and industrial observation, pre-defining the standard configurations without relying on hints from end users has been raised as a major difficulty within the industry. In this paper, we propose a reconfiguration framework which considers data collected from the use phase in order to generate valid and optimized configurations with regard to stakeholders needs.

Engineering Design decisions impact customers, the environment and society at large in ways that have profound ethical and strategic implications for designers. Previous research in decision-based design has proposed the decisions should be made on the basis of maximizing the expected utility of the design to the designer. This paper discusses ethical and strategic challenges for these frameworks across five levels: the axioms that underlie utility, the definition of utility, the consideration of multiple stakeholders, the modeling scope, and resulting design framework implementation. Based on these problems, solutions are suggested to account for each in the development of improved, ethically- informed frameworks. Challenges presented here do not prohibit the prudent use of decision-based design frameworks per se, but instead point to cases that must addressed in practice while providing grounds for further research towards the development of decision-based design frameworks that are ethical by design.

Current CE approach, and its many definitions, does not explicitly consider the interconnectedness of the biological and technological cycle. This paper uses state-of-the-art to articulate nuances of the CE to encourage a more comprehensive understanding of the concept from a perspective of both cycles. The results address that acknowledged sustainably driven shifts of resources between cycles are neglected in most state-of-the-art. Therefore, the Dual Circularity (DC) definition is proposed and further evaluated by three examples.

Introducing more customized products causes complexity costs, which are hard to estimate and measure. Researchers and practitioners have therefore developed approaches to measure these costs. This paper reviews the current approaches and reveals a lack of a holistic view on the underlying problem and, hence, deficits to certain economic questions. We therefore suggest using the Extended Axiomatic Design (EAD) framework as an interdisciplinary model that adresses the economic consequences of variety-induced complexity.