Quantitative Evaluation of AI Productivity and Quality in Design Processes: A Case Study on Engine Piston Diameter Calculation and 3D Modeling

SAE technical papers on CD-ROM/SAE technical paper series, Год журнала: 2024, Номер 1

Опубликована: Сен. 18, 2024

<div class="section abstract"><div class="htmlview paragraph">Artificial Intelligence (AI) is currently regarded as the foremost technology for automating routine and repetitive tasks, leading to increased productivity. However, quality of creative design work with AI remains questionable. This paper presents a quantitative analysis productivity through dynamic simulation assesses results in diameter calculation construction 3D model an engine piston case study. To evaluate productivity, segregates tasks based on working hours. The formulation calculating diameter, derived from requirements, compared standard literature review. Additionally, generated by created human intelligence Computer-Aided Design (CAD) software, reflecting characteristics properties real pistons. While research abundant, few studies address usefulness AI-generated results. study aims these three aspects. As anticipated, demonstrates numerical increase enhancing variable. process involving mathematical lack utility without additional work. Our findings lead us conclude that can enhance when used suggest predict instructions, thereby saving time. Nevertheless, AI's ability create models limited simplified conditions, further knowledge must be imparted enable it produce readily usable designed components.</div></div>

Язык: Английский

Conceptual to Technological Reality: Biorefineries Using Techno-Economic and Life Cycle Assessment Models

Опубликована: Янв. 1, 2024

Язык: Английский