International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 11 Issue: 09 | Sep 2024
p-ISSN: 2395-0072
www.irjet.net
CONTROL & MONITORING OF BIO-BASED LUBRICATION SYSTEM USED IN CYLINDER LUBRICATION WITH THE HELP OF AI Sri Krishna Periyasamy1, Somnath Rooban Chidambaranathan2, A C Mariappan 3, G Peter Packiaraj4 1,2 Final Year B.E Marine Cadets, Dept. of Marine Engineering, PSNCET, Tirunelveli , Tamilnadu. 3,4 Assistant Professors, Dept. Of Marine Engineering, PSNCET , Tirunelveli , Tamilnadu.
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1.2. Importance of Cylinder Lubrication:
This paper examines the integration of Artificial Intelligence (AI) into the control and monitoring of biobased lubrication systems, specifically within cylinder lubrication. With increasing environmental concerns and regulatory pressures, bio-based lubricants are becoming essential alternatives to conventional lubricants. However, the variability in their properties necessitates sophisticated control and monitoring to ensure engine efficiency, longevity, and sustainability. AI offers advanced solutions in predictive maintenance, real-time monitoring, and adaptive control, which can revolutionize the management of bio-based lubrication systems. This paper discusses the current state of biobased lubricants, the potential of AI in enhancing these systems, and the challenges faced in implementing such technologies.
Cylinder lubrication plays a crucial role in maintaining the performance and longevity of internal combustion engines. It reduces friction between the piston and the cylinder liner, minimizes wear, and prevents corrosion. The effectiveness of lubrication directly impacts fuel efficiency, emissions, and the overall durability of the engine. In marine and industrial engines, where operating conditions are often harsh, the choice of lubricant and the control over its application are critical.
1.3. AI in Industrial Applications: Artificial Intelligence has made significant inroads into industrial applications, particularly in areas like predictive maintenance, process optimization, and realtime monitoring. AI systems can analyse vast amounts of data, learn from it, and make decisions that enhance efficiency and reduce operational costs. In lubrication systems, AI can optimize the application of lubricants based on real-time data, predict maintenance needs, and improve the overall reliability of engines.
Keywords :
Bio-Based Lubricants Cylinder Lubrication Artificial Intelligence (AI) Predictive Maintenance Real-Time Monitoring Engine Performance Sustainability
2. LITERATURE REVIEW: 2.1. Advances in Bio-Based Lubricants: Recent studies have focused on improving the formulation of bio-based lubricants to enhance their performance under various operating conditions. Innovations include the use of synthetic esters, bio-based additives, and the development of multi-functional lubricants that can perform well in a wide range of temperatures and pressures.
1.INTRODUCTION: 1.1. Background on Bio-Based Lubricants: Bio-based lubricants are derived from renewable resources such as plant oils, animal fats, and other biological sources. They are increasingly being adopted due to their environmental benefits, such as biodegradability, reduced toxicity, and lower carbon footprint. However, bio-based lubricants face challenges related to stability, performance under extreme conditions, and compatibility with existing engine materials.
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