Contents:
Foreword 
Preface 
Chapter 1. Introduction 
Establishing an Automation Program 
Understanding Workstations, Work Cells, and 
Work Centers 
Classification of Control Processes 
Open-and Closed-Loop Control Systems 
Understanding Photoelectric Sensors 
Principles of Operation 
Manufacturing Applications of Photodetectors 
Detection Methods 
Through-Beam Detection Method 
Reflex Detection Method 
Proximity Detection Method 
Proximity Sensors 
Typical Applications of Inductive Proximity Sensors 
Typical Applications of Capacitive Proximity Sensors 
Understanding Inductive Proximity Sensors 
Principles of Operation 
Inductive Proximity Sensing Range 
Sensing Distance 
Target Material and Size 
Target Shape 
Variation Between Devices 
Surrounding Conditions 
Understanding Capacitive Proximity Sensors 
Principles of Operation 
Features of Capacitive Sensors 
Sensing Range 
Target Material and Size 
Surrounding Conditions 
Understanding Limit Switches 
Inductive and Capacitive Sensors in 
Manufacturing 
Relays 
Triac Devices 
Transistor dc Switches 
Inductive and Capacitive Control/Output 
Circuits 
Accessories for Sensor Circuits 
Inductive and Capacitive Switching Logic 
Inductive and Capacitive Sensor Response Time-Speed of Operation 
Understanding Microwave Sensing Applications 
Characteristics of Microwave Sensors 
Principles of Operation 
Detecting Motion with Microwave Sensors 
Detecting Presence with Microwave Sensors 
Measuring Velocity with Microwave Sensors 
Detecting Direction of Motion with 
Microwave Sensors 
Detecting Range with Microwave Sensors 
Microwave Technology Advancement 
Understanding Laser Sensors 
Properties of Laser Light 
Essential Laser Components 
Semiconductor Displacement Laser Sensors 
Industrial Applications of Laser Sensors 
References 
Chapter 2. Fiber Optics in Sensors and 
Control Systems 
Introduction 
Photoelectric Sensors--Long-Distance 
Detection 
Light-Emitting Diodes 
Through-Beam Sensors 
Reflex Photoelectric Controls 
Polarized Reflex Detection 
Proximity (Diffuse-Reflection) Detection 
Automated Guided Vehicle System 
Fiber Optics 
Individual Fiber Optics 
Bifurcated Fiber Optics 
Optical Fiber Parameters 
Excess Gain 
Background Suppression 
Contrast 
Polarization 
Inductive Proximity Sensors-Noncontact 
Metal Detection 
Limit Switches-Traditional Reliability 
Factors Affecting the Selection of Position Sensors 
Wavelengths of Commonly Used Light-Emitting 
Diodes 
Sensor Alignment Techniques 
Opposing Sensing Mode 
Retroreflective Sensing Mode 
Proximity (Diffuse) Sensing Mode 
Divergent Sensing Mode 
Convergent Sensing Mode 
Mechanical Convergence 
Fiber Optics in Industrial Communication 
and Control 
Principles of Fiber Optics in Communications 
Fiber-Optic Information Link 
Configurations of Fiber Optics 
Optical Power Budget 
Digital Links-Pulsed 
Digital Links-Carrier-Based 
Analog Links 
Video Links 
Data Bus Networks 
Configurations of Fiber Optics for Sensors 
Fiber-Optic Bundle 
Bundle Design Considerations 
Fiber Pairs for Remote Sensing 
Fiber-Optic Liquid Level Sensing 
Flexibility of Fiber Optics 
Fiber-Optic Terminations 
Testing of Fiber Optics 
Test Light Sources 
Power Meters 
Dual Laser Test Sets 
Test Sets/Talk Sets 
Attenuators 
Fault Finders 
Fiber Identifiers 
Networking with Electrooptic Links 
Hybrid Wire/Fiber Network 
Daisy Chain Network 
Active Star Network 
Hybrid Fiber Network 
Fiber-Optic Sensory Link for Minicell 
Controller 
Versatility of Fiber Optics in Industrial Applications 
High-Clad Fiber-Optic Cables 
Fiber-Optic Ammeter 
References 
Chapter 3. Networking of Sensors and Control 
Systems in Manufacturing 
Introduction 
Number of Products in a Flexible System 
Sensors Tracking the Mean Time Between 
Operator Interventions 
Sensors Tracking the Mean Time of 
Intervention 
Sensors Tracking Yield 
Sensors Tracking the Mean Processing Time 
Network of Sensors Detecting Machinery Faults 
Diagnostic Systems 
Resonance and Vibration Analysis 
Sensing Motor Current for Signature Analysis 
Acoustics 
Temperature 
Sensors for Diagnostic Systems 
Quantifying the Quality of a Workpiece 
Evaluation of an Existing Flexible 
Manufacturing Cell Using a Sensing Network 
Understanding Computer Communications and Sensors' Role 
Application Layer Communication 
Presentation Layer Communication 
Session Layer Communication 
Transport Layer Communication 
Network Layer Communication 
Data Link Layer Communication by Fiber 
Optics or Coaxial Cable 
Physical Layer Communication 
Adding and Removing Information in 
Computer Networks Based on Open System 
Interconnect (OSI) 
Understanding Networks in Manufacturing 
RS-232-Based Networks 
Ethernet 
Transmission Control Protocol (TCP)/Internet Protocol (IP) 
Manufacturing Automation Protocol 
Broadband System for MAP Protocol 
Carrier-Band System for MAP Protocol 
Bridges MAP Protocol 
Token System for MAP Protocol 
Multiple-Ring Digital Communication Network-AbNET 
Universal Memory Network 
References 
Chapter 4. The Role of Sensors and Control 
Technology in Computer-Integrated 
Manufacturing 
Introduction 
CIM Plan 
CIM Plan in Manufacturing 
CIM Plan in Engineering and Research 
CIM Plan in Production Planning 
CIM Plan in Physical Distribution 
CIM Plan for Business Management 
CIM Plan for the Enterprise 
Manufacturing Enterprise Model 
Marketing 
Engineering and Research 
Production Planning 
Plant Operations 
Physical Distribution 
Business Management 
Design of CIM with Sensors and Control Systems 
Components of CIM with Sensors and 
Control Systems 
CIM with Sensors and Control Systems at 
the Plant Level 
Decision Support System for CIM with 
Sensors and Control Systems 
Computer-Integrated Manufacturing 
Database (CIM DB) 
Structure of Multiobjective Support 
Decision Systems 
Analysis and Design of CIM with Sensors and 
Control Systems 
Structured Analysis and Design Technique (SADT) 
A Multiobjective Approach for Selection 
of Sensors in Manufacturing 
Data Acquisition for Sensors and Control 
Systems in CIM Environment 
Real-World Phenomena 
Sensors and Actuators 
Signal Conditioning 
Data Acquisition for Sensors and Control Hardware 
Computer System 
Communication Interfaces 
Software 
Developing CIM Strategy with Emphasis on 
Sensors' Role in Manufacturing 
CIM and Building Blocks 
CIM Communications 
Plant Floor Communications 
Managing Data in the CIM Environment 
CIM Environment Presentation 
The Requirement for Integration 
References 
Chapter 5. Advanced Sensor Technology in 
Precision Manufacturing Applications 
Identification of Manufactured Components 
Bar-Code Identification Systems 
Transponders 
Electromagnetic Identification of 
Manufactured Components 
Surface Acoustic Waves 
Optical Character Recognition 
Digital Encoder Sensors 
Position Encoder Sensors in Manufacturing 
Fuzzy Logic for Optoelectro 
Sensor's Handbook
by S. Soloman, 816 pp., 1998, ISBN: 0070596301 
React immediately to production line surprises! Make tough qualitative and quantitative decisions faster and easier!

Sensors - those clever devices that sense, measure, and detect deviations and provide for continuous correction - hold the key.

Packed with page after page of hard-to-find information, Sensors Handbook gives you the know-how to use cost-effective sensors and simple control devices for a near error-free manufacturing environment.

     Editor Sabrie Soloman - an advanced manufacturing technology expert - introduces you to the full rance of state-of-the-art sensor applications:
  • Air bubble detection sensors in plastic, glass or metal-tubing operations
  • Sensors in imaging and electronic pressure scanning
  • Temperature sensors for the aerospace, military, and nuclear industries
  • Physical and chemical sensors for process control
  • Sensors for the electrical power industry, including current, magnetic field, voltage, fault-locating, and and temperature sensors
  • And much, much more
     Sensors perform a a vital function in the operation and control of industrial systems and scientific equipment. This guide offers advice on selecting and using the optimum sensor for any given application. It is the first comprehensive handbook for engineers and scientists on the use of sensors to measure size, speed, color, temperature, pressure, volume, flow-rate, orientation, and other characteristics in the management of complex processes.
     Readers will also find descriptions of hands-on applications in fields ranging from manufacturing engineering, aerospace, and defense, to pharmaceuticals, medicine, agriculture, and the environment.
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