Optimizing the Transition: Replacing Conventional Lubricants with Biological Alternatives through Artificial Intelligence
- سال انتشار: 1404
- محل انتشار: مجله مکانیک کاربردی و محاسباتی، دوره: 11، شماره: 2
- کد COI اختصاصی: JR_JACM-11-2_003
- زبان مقاله: انگلیسی
- تعداد مشاهده: 71
نویسندگان
São Paulo State University (UNESP), Institute of Chemistry, Department of Engineering, Physics and Mathematics. Rua Prof. Francisco Degni, ۵۵, Quitandinha, Araraquara/SP – Brazil
São Paulo State University (UNESP), Institute of Chemistry, Department of Engineering, Physics and Mathematics. Rua Prof. Francisco Degni, ۵۵, Quitandinha, Araraquara/SP – Brazil
São Paulo State University (UNESP), Department of Mechanical Engineering. Brasil Sul, ۵۶, Centro, Ilha Solteira, SP, Brazil
São Paulo State University (UNESP), Institute of Chemistry, Department of Engineering, Physics and Mathematics. Rua Prof. Francisco Degni, ۵۵, Quitandinha, Araraquara/SP – Brazil
Lins College of Technology, Quality Management Department. Estrada Mário Covas Junior, km ۱, Vila Guararapes, Lins, SP, Brazil
Department of Mathematics, Faculty of Science, Indira Gandhi National Tribal University, Lalpur, Amarkantak ۴۸۴ ۸۸۷, Madhya Pradesh, India
چکیده
In today's modern industry, artificial intelligence (AI) is revolutionizing the formulation, performance optimization, and monitoring of lubricants. By enabling the analysis of large datasets, AI facilitates the development of customized formulations and predictive maintenance strategies. Traditionally, synthetic lubricants have been widely used due to their superior performance characteristics; however, they pose significant environmental and health risks. In contrast, bio-based lubricants offer a sustainable and biodegradable alternative, aligning with growing environmental and health-conscious trends. This study aims to leverage AI to assess the feasibility of replacing conventional synthetic lubricants with bio-based lubricants in vibrating mechanical structures. By employing AI-driven analysis, the research investigates the performance characteristics of bio-greases compared to their synthetic counterparts, focusing on signal vibration responses. The findings demonstrate that AI can effectively optimize lubricant performance, reduce operational costs, and enhance sustainability in the lubricant industry. The present study underscores the critical importance of evaluating the differences between conventional commercial and bio-based lubricants in an innovative way through vibration signals, highlighting their potential applications across various industrial sectors. The integration of AI not only enhances performance and sustainability but also paves the way for innovative advancements in lubricant technology.کلیدواژه ها
Vibration, Lubricants, Artificial Intelligence, Artificial Immune Systems, Negative Selection Algorithmاطلاعات بیشتر در مورد COI
COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.
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