Industry 4.0 creates a need to transform education to meet evolving labor market skills. This study reviews and compares major instructional design models ADDIE, SAM, ASSURE, MISA, and Dick and Carey using Gropper’s framework enriched with Education 4.0 criteria. Results show these models offer structure but remain module-focused and lack a systemic perspective. The research proposes a broader, engineering-based approach using TRIZ principles to create an integrated learning ecosystem that supports agile, flexible, and continuous skills development aligned with Industry 4.0.

We introduce a method that turns online customer reviews into design insights. By analysing smartphone reviews, we extract the product features customers talk about and identify the sentiment linked to them. The approach combines Large Language Models (LLMs) with the Kano model, showing how specific features influence satisfaction or dissatisfaction. The results are coherent with the dimensions of the Kano model. The work demonstrates that LLMs can be informed and constrained by established design frameworks, bridging LMMs and design reasoning to provide theory-grounded insights.

Early design decisions are central to many circular economy approaches and largely determine environmental impacts. Yet LCA practice is often fragmented and difficult to integrate into engineering development processes. This paper proposes an MBSE approach that represents and computes LCA-based (LCIA) impact indicators within SysML models using reusable, configurable model elements and automated import of characterization factors. A proof-of-concept implementation demonstrates technical feasibility, illustrates process integration, and discusses limitations and future work.

Current flying-car designs lack scalability for diverse missions. This paper presents a modular design platform for developing reconfigurable flying-cars, embedding modularity across structural, electrical, and flight control domains. A full-scale sightseeing prototype demonstrates the platform’s feasibility and flexibility. The work contributes to design methodology by illustrating how modular architectures improve cross-mission adaptability, scalability, and lifecycle efficiency in complex mechatronic systems. (project introduction video available at https://www.aidilab.ai/flying-car)

This research was initiated to investigate the dynamic behaviour of Len Lye’s Kinetic Sculpture Trilogy. Safety concerns and reliability issues have led to the call for a redesign of the original mechanism. Numerical methods including FEA are used to model the artworks dynamic behaviour. Vibratory mode shapes and natural resonance frequencies of the artwork are found. Motion Capturing (MOCAP) is employed to experimentally analyse and record the dynamic behaviour of the artwork. Whirling behaviour in the form of mode shapes was recorded equally below and above the resonance frequencies.

With the introduction of SysML v2—featuring a new metamodel and standardized APIs—new opportunities arise for automating MBSE tasks through generative AI. However, existing LLM approaches lack interoperability due to limited support for complex SysML v2 API operations. This paper presents a framework for implementing Model Context Protocol (MCP) servers for SysML v2, enabling LLMs to interact with system models via the API. This framework provides a foundation for agentic MBSE by allowing automation of modeling tasks while maintaining interoperability across tools and generative AI systems.

This paper explores the assessment of employee induction as a service, through the lens of service design. The service assessment methodology was a multi-method and a multi-stakeholder approach, uncovering how processes, touchpoint interactions and servicescape shape onboarding experiences of new joiners. The paper highlights the researchers’ reflections about using the methodology in organizational context and portrays the value of assessing organizational services through service design lens. The reflections offer practical insights applicable to assessment of other organizations services.

The Design Society unites researchers and practitioners to advance innovative engineering design. As entrepreneurship grows in importance, integrate design principles into its education seems necessary. This paper reviews Design Society publications to map how entrepreneurship, education, and sustainability intersect, it identifies the Design Society’s contributions in the field to propose strategies and future research to strengthen its influence. It highlights the possible role of the Design Society in leading education advancements in entrepreneurship and sustainability.

Pyridate, a photosystem II-inhibiting herbicide used since the 1980s in crops such as corn, cereals, and sorghum, shows promise for turfgrass weed control; however, its safety to turfgrass species remains untested. This study evaluated pyridate’s effects on visible injury, green cover, and dark green color index (DGCI) for eight weekly assessments across seven turfgrass species, including hybrid bermudagrass, creeping bentgrass, fine fescue, Kentucky bluegrass, perennial ryegrass, tall fescue, and zoysiagrass. Fourteen field experiments were conducted in 2024 using a randomized complete block design with four replications, testing pyridate at 350, 700, and 1400 g ae ha⁻¹ alone or combined with sulfentrazone (350 + 280 or 700 + 560 g ae ha⁻¹). Results showed significant injury at 7 days after treatment (DAT) across all species (P ≤ 0.0163), peaking at 35% for bermudagrass with the high pyridate-sulfentrazone mix under warm, moist conditions, but dissipating by 14 DAT. Green cover decreased most (52%) with the high mix in bermudagrass Trial 2, while plots treated with pyridate at ≤700 g ha⁻¹ matched nontreated cover. Dark green color index (DGCI) mirrored injury trends, with minimal impact from pyridate at 350 g ha⁻¹. Pyridate’s safety aligns with its metabolic detoxification in grasses, unlike broadleaves, while sulfentrazone exacerbated damage, consistent with prior turfgrass studies. At ≤700 g ha⁻¹, pyridate proved safe across species, suggesting potential for selective weed control in turfgrass systems. Higher rates or sulfentrazone mixes require caution due to transient injury. Further research should optimize application conditions and target turfgrass weeds to refine pyridate’s role in integrated management amid rising herbicide resistance in turfgrass systems.

Fused Layer Modeling (FLM) is one of the most popular additive manufacturing techniques. Its application is often limited caused by the procedurally anisotropy. This work addresses FLM’s weakness by examining a new path planning concept that replaces printing several adjacent parallel lines, for example in perimeters. The new technique was compared with conventionally manufactured reference samples in tensile tension and three-point-bending tests. The results show an improvement of the tensile strength in build direction of the samples by up to 40% and a reduction of anisotropy by 28%.

Digital product passports (DPP) are intended to provide reliable, interoperable information throughout the product lifecycle, enabling compliance, transparency, and circularity. This paper seeks to address the question of how a DPP can be effectively implemented in the field of engineering, developing a referenced, industry-independent architecture for this purpose. The layers for data, communication, logical architecture, functions, and potential are derived from regulation and practice; integration, interoperability, and validation requirements are discussed using a use case.

Digital design tools are omnipresent today, but which is right for the job? This study reviews previous approaches to categorise design tools revealing a lack of comprehensive catalogues. Given this gap, a set of requirements, classification schema and prototype catalogue (IDEATE) were developed. A survey explored selection factors, format preferences and evaluated the prototype with IDEATE scoring 6.44/10 compared to 5.28/10 for a table format. This evidenced interest in mapping the ecosystem though future iterations should prioritise refined navigation and enhanced searchability of tools.

Part separation and subsequent adhesive bonding of additively manufactured (AM) subcomponents is a promising strategy to overcome manufacturing constraints and improve cost efficiency of AM processes. This study presents a three-dimensional scarf joint geometry, designed to maximize bond strength at a minimum use of substrate volume. Based on geometrical measurements, measures for improved accuracy of fit between PBF-LB/M substrates made of AlSi10Mg and Ti6Al4V were derived. Static tensile tests confirmed an almost twofold increase in bonding performance compared to conventional scarf joints.

This paper presents the Systems Engineering Method Matrix (SEMM), a tool that links activities, methods, and artefacts to address gaps in existing method repositories. SEMM enables artefact-consistent process modelling and supports method selection, planning, and documentation in engineering projects. A case study in a project-based engineering design course demonstrates that SEMM enhances students’ conceptual understanding, broadens the range of methods, and provides instructors with a coherent framework for project planning.

Design research lacks a unified methodological framework, leaving researchers underexposed to diverse approaches and limiting informed method selection. This paper proposes a multidisciplinary cartography of design research methods, mapping research designs, data collection techniques, associated risks, and required resources. It provides a structured overview to support method selection and planning. This non-exhaustive, high-level cartography serves as a proof of concept to demonstrate feasibility and lay the foundation for a future community-driven Design Research Quality ecosystem.

This study evaluates two approaches for sustainable product development and their complementarity through workshops and surveys in four companies. Findings show high perceived usefulness but lower usability, with applicability dependent on integration into existing processes. The study identifies value-carrying characteristics – clarity, adaptability, and process linkage – and highlights improvement needs. Results offer guidance for developing coherent methodological support to enable systemic, systematic, and strategic sustainability decisions in early design phases.

This study evaluates the repeatability of print results in FDM through tests made with a generatively designed robotic limb. Five specimen were printed in two build orientations each with the same other process parameters. Deviations were measured via 3D scanning and CMM on both outer surfaces and functional features. Measured deviations exhibit small mean values and a clear orientation-dependent variability. As findings highlight deterministic effects in the propagation of deviations, design guidelines to improve repeatability of 3D prints are formulated as a result.

Digital twin implementation in space systems lags behind product development maturity. This study evaluates transfer potential of digital twin approaches to space systems. Expert interviews (n=12) with product development and space specialists validated literature-based solution-challenge mappings. Abstraction level moderates transferability: organizational solutions transfer readily while technical solutions require space-specific adaptations. New Space contexts show higher transfer potential. The framework enables systematic digital twin implementation prioritization for space applications.