... Abstract Decision-making assistance by artificial intelligence (AI) during design is only effective when human designers properly utilize AI input. However, designers often misjudge the AI’s and/or their own ability, leading to erroneous reliance on AI and therefore bad designs. To avoid...

... Abstract Advances in artificial intelligence (AI) offer new opportunities for human-AI collaboration in engineering design. Human trust in AI is a crucial factor in ensuring an effective human-AI collaboration, and several approaches to enhance human trust in AI have been suggested in prior...

.... Overall, this paper presents a methodology to self-learn high-performing and generalizable problem-solving behavior in an arbitrary problem space, circumventing the needs for expert data, existing solutions, and problem-specific learning. design automation artificial intelligence deep learning...

... defined to objectively characterize the Pareto-optimal solutions obtained with the different algorithms. Pareto optimality multi-objective optimisation artificial intelligence electric motors design genetic algorithms Proceedings of the ASME 2022 International Design Engineering Technical...

... current profile using Artificial Intelligence (AI) in lead-acid batteries, which are commonly used in heavy-duty vehicles for cranking and cabin systems, are presented. The paper validates the considered approach with experimental data, which are representative of actual vehicle operations. In detail...

... the feasibility of the considered algorithms. Moreover, the paper describes the retained software architectures and the design procedure related to the two proposed techniques based on Artificial Intelligence (AI). In detail, the retained Lithium-ion battery is a 21.6V 3.3Ah battery pack that is used as an energy...

... for the dynamic selection of the customized dispatching rules. Preliminary results show its effectiveness in minimizing total tardiness and outperform well-known existing dispatching rules. artificial intelligence intelligent manufacturing data/information modeling customized dispatching rule deep...

... available design databases and rapidly advancing data science and artificial intelligence technologies have presented new opportunities for developing data-driven methods and tools for DbA support. Herein, we survey the prior data-driven DbA studies and categorize and analyze individual study according...

.... These outcomes promote further investigation into new and efficient ways for acquiring real-time data from in-situ processes. Our contribution complements the way we understand properties of in-situ data, and predict patterns of melt pools, based on artificial cognition. artificial intelligence data...

... Abstract As Artificial Intelligence (AI) assistance tools become more ubiquitous in engineering design, it becomes increasingly necessary to understand the influence of AI assistance on the design process and design effectiveness. Previous work has shown the advantages of incorporating AI...

... the of the will and reduce KEYWORDS Knowledge Artificial intelligence. Turbo-machinery, maintenance. representation. Predictive Expert Fault and systems, diagnosis. Preventive M. A. Rayan Mechanical Power Department El Mansoura University Mansoura, Egypt Yehia M. Enab Control & Computer Department El Mansoura University El...

..." Proceedings of the AAAI-90 Work- shop on Constraint-Directed Reasoning, Boston, MA. Orlicky, J., 1975, Material Requirement Planning, McGraw-Hill.Copyright c 1998 by ASME scheduling state space search genetic algorithm artificial intelligence Abstract A number of intelligent scheduling models...

... negotiation, when the original schedule cannot be accomplished due to these changes. predictive scheduling reactive scheduling heuristic search multi-agents artificial intelligence Proceedings of the 2000 ASME Design Engineering Technical Conferences September 10-13,2000, Baltimore, Maryland...

... method and so on. Stochastic search agents investigate the design space by making use of the information from other agents. Through simple and several structural optimization problems, we have confirmed the advantages of the method. Computer Aided Design Optimum Design Artificial Intelligence...

... into inspection processes that can facilitate elimination of human error. In this work, we introduce an artificial intelligence (AI)-based concept that can iteratively learn to assure zero defects from a given inspection process. This work introduces a schema that can serve as a knowledge management framework...

... 18 06 2008 Many areas of research in manufacturing are increasingly turning to applications of Artificial Intelligence (AI). The problem of developing inference strategies for automated process planning in machining is one such area of successful application of AI based approaches...

... with rationales should provide the basis for a epository that can proactively offer advice on new enges. This paper first sketches the context that tool desirable, and then describes the system s key capabilities. We finish with a discussion of nd future enhancements. ds: Artificial Intelligence, Design...