... Abstract The speed at which the quantity of data is increasing stymies the deployment of some AI tools for design as the basis for training the tools is not stable. Also, selecting which data can be used as training data is a challenge. To address these issues, the concept of human-in-the-loop...

... of LLMs (Large Language Models) to expedite the extraction of relevant information from data-driven AM literature. In the future, the framework can be used to extract information from the broader design and manufacturing literature in the engineering discipline. scientific information extraction...

... Abstract The process of design in education is generally broad, which makes it difficult to measure. It is human-centric in nature, thus assessment is often qualitative and involves comparing students’ performance or grading. The dynamic nature of design processes also takes a lot of time from...

... Abstract Engineering design is heavily influenced by system requirements, as they span the entire design process. Generally, requirements are not utilized to convey system information outside the design process. System information is generally conveyed to stakeholders, such as end users...

... to be a profound insight as it suggests that statistical models, such as DCGP, could be used to expedite scientific discovery even for discontinuous and non-differentiable functions. Gaussian process discontinuities non-differentiability Bayesian-statistics design Proceedings of the ASME 2024...

... Abstract Self-organized systems (SOSs) possess the great potential to adapt to dynamic environments, and thus, advance the level of autonomy in engineering systems. Learning-based approaches, particularly multiagent reinforcement learning (MARL), have empowered the design freedom of SOSs while...

... Abstract As people interact with physical artifacts, the interaction can produce a wide range of social impacts on the user. Of all possible social impact outcomes, design processes have traditionally focused on health and safety. Within health and safety, most design methods and standards aim...

... and transfer learning data is used to design a test rig for roller bearing fault identification and prognosis. Historically, academic researchers have concentrated on using the data they have gathered with their test rigs to undertake data analysis, rather than concentrating on the design of the test rig...

... Abstract Adaptable products are used to satisfy different and changing customer requirements through changes of products such as reconfiguration and upgrading during their utilization stages. In this research, an optimal design and process planning approach is developed for product adaptation...

... Abstract Machine learning is becoming increasingly prevalent in mechanical design as it allows for surrogate models to replace expensive computational models. However, the accuracy of these models is of particular concern when safety-critical products are involved. In order to address...

... Abstract This article describes the design and development of an autonomous Electric Vehicle (EV) charging system. An autonomous EV charger can extend the effective range of autonomous EVs by enabling them to recharge without human intervention. The motivation behind the development...

... Abstract Design processes for large-scale and complex projects inevitably involve balancing competing requirements within the solution space. Set-based design has emerged as a method that enables concurrent engineering practices. However, there are few documented cases of its performance...

... Abstract Our society faces complex social justice challenges, often exacerbated by existing engineered products and technologies. Engineering designers play a critical role in creating and studying products and technologies that can both aim to solve and unintentionally contribute to social...

... for syntactic aesthetics that can be used to describe multiple products. Combinations of four selected attributes are utilized to describe a diverse set of designs for two products: vases and canopies. Conjoint analysis is used to quantitatively measure the form preferences of individuals towards different...

... Abstract This article presents a new three-degree-of-freedom (3-DOF) parallel mechanism (PM) with two translations and one rotation (2T1R), designed based on the topological design theory of the parallel mechanism using position and orientation characteristics (POC). The PM is primarily...

... not advanced at the same rate. Only highlighting technology advancement is not sufficient, given the high interconnectivity between human-technology in Industry 4.0. Integrating the human factor in design and implementation of cyber-physical technology leads to the holistic development of cyber-physical-social...

... in early-stage SoS architecture selection. However, no consensus exists as to which graph-theoretic metrics are most valuable for SoS design and how they should be included in the design process. In this work, multiple graph-theoretic approaches are analyzed and compared, on a common platform...

... Abstract This work introduces a computational method for designing ceramic scaffolds fabricated via direct ink writing (DIW) for maximum bone growth, whereby the deposited rods are curvilinear. A mechanobiological model of bone adaptation is used to compute bone growth into the scaffold, taking...

...-based tool for assessing social impacts in eight domains by allowing the use of multiple metrics and comparing two processes. sustainability life cycle assessment social impacts assessment design manufacturing open-source tool Proceedings of the ASME 2022 International Design Engineering...

...Proceedings of the ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference IDETC-CIE2022 August 14-17, 2022, St. Louis, Missouri DETC2022-91313 INVESTIGATING PRIMING EFFECTS OF SKETCH EVALUATION INSTRUCTIONS ON IDEA GENERATION...