Mechanical lubrication and diagnosis

Author: Li Zhuguo
Publisher:
Publish Date: 2005-05-01
Features: This book provides systematic knowledge on mechanical equipment lubrication and its diagnosis. It includes lubrication theory, lubrication system design and methods, lubricants and additives, lubrication diagnostic oil physicochemical analysis, elemental composition spectroscopic analysis, wear particle ferrography analysis, relevant diagnostic instruments and methods, and analysis software, with numerous examples provided at the end. This book can serve as a textbook for graduate and undergraduate students in technical colleges and research institutions focusing on mechanical lubrication design and mechanical condition monitoring fault diagnosis, as well as a reference for lubrication engineers and lubrication monitoring technicians in industrial and mining enterprises.
Introduction This book provides systematic knowledge on mechanical equipment lubrication and its diagnosis. It includes lubrication theory, lubrication system design and methods, lubricants and additives, lubrication diagnostic oil physicochemical analysis, elemental composition spectroscopic analysis, wear particle ferrography analysis, relevant diagnostic instruments and methods, and analysis software, with numerous examples provided at the end. This book can serve as a textbook for graduate and undergraduate students in technical colleges and research institutions focusing on mechanical lubrication design and mechanical condition monitoring fault diagnosis, as well as a reference for lubrication engineers and lubrication monitoring technicians in industrial and mining enterprises.
Table of Contents
Table of Contents
Chapter 1 Mechanical Lubrication Theory 11
1.1 Basic Concepts and Classification of Fluid Lubrication 11
1.2 Lubrication State 21
1.3 Composition of Friction Pairs 21
1.4 Reynolds Equation—Theoretical Basis of Hydrodynamic Lubrication 3
Chapter 2 Lubrication Systems and Methods 102
2.1 Lubrication Systems 102
2.2 Lubrication Methods 212
2.3 Lubrication Devices 222
2.4 Solid Lubrication 23
Chapter 3 Lubricants and Additives 24
3.1 Overview 24
3.2 Basic Properties of Lubricants 24
3.3 Viscosity of Lubricating Oils and Viscosity Grades 25
3.4 Physicochemical Properties of Lubricating Oils 31
3.5 Lubricating Oil Additives 33
3.6 Common Lubricating Oil Varieties 44
3.7 Selection of Lubricating Oils 48
3.8 Lubricating Oil Change Period 69
3.9 Lubricating Oil Degradation and Standardized Management 71
3.10 Lubricating Grease 72
3.11 Solid Lubricants 80
Chapter 4 Mechanical Lubrication State Diagnosis and Tribology Basics 834.1 Mechanical Equipment Lubrication System Condition Monitoring 834.2 Tribology Basics 88
Chapter 5 Lubrication Diagnostic Oil Sample Physicochemical Analysis 1005.1 Degradation of In-Service Lubricating Oils and Characteristic Parameters 1005.2 On-Site Monitoring Instruments 1035.3 Oil Contamination Monitoring 106
Chapter 6 Lubrication Diagnostic Oil Sample Ferrography Analysis 1146.1 Development of Oil Sample Ferrography Analysis Technology 1146.2 Analytical Ferrograph and Its Analytical Methods 1156.3 Direct-Reading Ferrograph and Its Analytical Methods 1186.4 Rotating Ferrograph and Its Analytical Methods 1206.5 Online Ferrograph and Its Analytical Methods 1236.6 Pneumatic Ferrograph and Its Analytical Methods 1266.7 Sampling Technology 1276.8 Wear Particle Analysis 1286.9 Wear Debris Group Feature Analysis Methods 1386.10 Selection of Theoretical Wear Debris Groups 1416.11 Selection of Practical Wear Debris Groups 1516.12 Ways to Improve Ferrography Analysis Reliability 1726.13 Application of Ferrography Technology in Equipment Condition Monitoring 173
Chapter 7 Lubrication Diagnostic Oil Sample Spectroscopic Analysis 1767.1 Basic Principles of Spectroscopic Analysis 1767.2 Superspect M Oil Spectrometer and Its Analytical Methods 1837.3 Large Particle Detection Rotating Disk Electrode Filtration Spectroscopic Analysis (RFS) 1887.4 Onboard Lubricating Oil Analysis Laboratory and Transport Box 1897.5 Application of Oil Sample Spectroscopic Analysis Technology 1907.6 Infrared Spectroscopic Technology for Oil Analysis 1937.7 OSA-Ⅱ Fully Automatic Comprehensive Oil Analysis Instrument 203
Chapter 8 Development of Lubrication Diagnostic Methods 2058.1 Classification of Diagnostic Methods 2068.2 Classification of Diagnostic Parameters 2078.3 Limitations of Diagnostic Methods 2078.4 New Diagnostic Methods and Theories and Their Applications 2088.5 Oil Analysis Information Processing Based on Information Theory 213
Chapter 9 Expert Systems for Mechanical Equipment Condition Monitoring and Fault Diagnosis 2209.1 Basic Structure and Establishment of Expert Systems 2209.2 Artificial Intelligence-Based Fault Diagnosis Methods 2229.3 ATLAS3C Expert System Introduction 2259.4 Object-Oriented Expert System Design 2289.5 Design of Fault Diagnosis Expert System for Large-Scale Stamping Automatic Production Line Based on Comprehensive Oil Monitoring 2299.6 Ship Equipment Oil Analysis Database Management System 2319.7 Expert System Design Process for Internal Combustion Engine Trains 234
Chapter 10 Application Examples of Mechanical Equipment Condition Monitoring and Fault Diagnosis 23510.1 Experimental Study on Wear Process of Internal Combustion Engine Bearings 23510.2 Wear Resistance Test of Friction Pair Materials 23710.3 Oil Analysis of ND2 Locomotive Diesel Engine Frame Overhaul 23810.4 Condition Monitoring of Diesel Engines in Power Plants 24010.5 Condition Monitoring and Fault Diagnosis of Large Mine Equipment 24210.6 Determination of Gk Coefficient for Elastic Hydrodynamic Lubrication Film Thickness Calculation of Railway Rolling Bearing 24510.7 Quantitative Monitoring of Oil Analysis for Port Machinery Equipment 24610.8 Typical Fault Diagnosis of Hydraulic Systems 24810.9 Early Prediction of Piston Ring seizing Fault of 6L350PN Ship Diesel Engine 24910.10 Wear Diagnosis of Worm Gear Reducer 25010.11 Wear Trend Diagnosis of Engine in Speed-Limited Driving State of Automobile 25210.12 Oil Spectroscopic Analysis of American Airlines B707, JT3D 25510.13 Japanese Airlines Using Oil Spectroscopic Analysis to Reduce Engine Maintenance Replacement Numbers 25510.14 Failure Analysis of Hydraulic Pumps in SGM Large-Scale Stamping Automatic Production Line 25610.15 Application of the Three-Threshold Value Ratio Method 25710.16 Application of Grey System Theory in Equipment Fault Diagnosis 25910.17 Failure Analysis and Fault Diagnosis of Internal Combustion Engine Sliding Bearings 26410.18 Examples of Oil Analysis Reports for Mechanical Equipment Condition Monitoring and Fault Diagnosis 271
References 276