Cover image for Parasitic phenomena in the dynamics of industrial devices
Title:
Parasitic phenomena in the dynamics of industrial devices
Personal Author:
Publication Information:
Boca Raton, FL : Taylor & Francis, 2012
Physical Description:
xvii, 380 p. : ill. ; 24 cm.
ISBN:
9781439809464
Abstract:
"Preface An introduction on a lighter note than is usual for a book of this nature, one that is simple and less academic, is due for a couple of reasons: 1. The text is obviously of a difficult nature (as the foreword note may imply). 2. Renowned scientists have often utilized elementary contexts and examples to introduce complex ideas (Einstein in his Biography of Physics implements the plotting of a mystery as a fil rouge to the illustration of relativity concepts). Along the lines of the above-mentioned scientist, we would follow the same track, not because we or our contributors could ever be compared to the famous scientist, but rather to copy the successful style of many of the great masters of science. Imagine, then, explaining the nature of the book by comparing the text to the notepad of a detective/psychologist involved in a police story. In the background we find a quiet village (the MACHINE) characterized by wellordered operation and ruled by clear laws, rather simple and often appearing even intuitive (natural). The first notes on the pad (Chapter 1 of the book) relate, then, to the coordinated action of a few leading characters who participate in the life of the MACHINE. These we would find to be the MOTOR, the TRANSMISSION, the POWER, the LOAD, the TRANSMISSION RATIO, the FRICTION, and so on. Each of them, as an active citizen, contributes to the operation of the village in full accordance with its laws (the MATHEMATIC EQUATIONS). However, among the citizens hide a few "suspicious characters" who often are unable (because of their nature or because they are urged by outside pressure) to comply precisely with the dictated laws. Sometimes, due to the less predictable behavior of such "suspicious characters," the MACHINE does not function properly"-- Provided by publisher.
Added Author:

Available:*

Library
Item Barcode
Call Number
Material Type
Item Category 1
Status
Searching...
30000010280825 TJ175 B67 2012 Open Access Book Book
Searching...

On Order

Summary

Summary

In the real world the dynamic behavior of a real machine presents either unforeseen or limiting phenomena: both are undesired, and can be therefore be classified as parasitic phenomena -- unwanted, unforeseen, or limiting behaviors. Parasitic Phenomena in the Dynamics of Industrial Devices describes the potential causes and effects of these behaviors and provides indications that could minimize their influence on the mechanical system in question.

The authors introduce the phenomena and explore them through real cases, avoiding academic introductions, but inserting the entire academic and experimental knowledge that is useful to understand and solve real-world problems. They then examine these parasitic phenomena in the machine dynamics, using two cases that cover the classical cultural division between cam devices and mechanisms. They also present concrete cases with an amount of experimental data higher than the proposed ones and with a modern approach that can be applied to various mechanical devices, acquiring real knowledge superior to one of the mere finite element systems or collections of mechanical devices.

Organizes machine dynamics through systems theory to give a comprehensive vision of the design problem Details machine dynamics at an advanced mathematics level and avoids redundancy of fundamental knowledge Introduces real machine cases for solutions to practical problems Covers two broad classes of mechanical devices that are widely used in the construction of instrumental goods Employs a mechatronic approach that can be applied to electro-mechanical, hydro-mechanical, or pneumo-mechanical machines

Highlighting industrial devices in the manufacturing industry, including industrial indexing devices and industrial robots, the book offers case studies, advanced models, design methods, and short examples of applications. It is of critical importance for any manufacturing enterprise that produces significant amounts of objects through a process with one or more automated phases.


Table of Contents

Prefacep. xiii
Acknowledgmentsp. xv
The Authorsp. xvii
Chapter 1 Dynamics of a Machine Systemp. 1
1.1 Composition of a Machine (as a Dynamic System)p. 1
1.2 Operation Point versus Transmission Ratiop. 2
1.3 Power Theorem in a Machinep. 6
1.4 Reduction of Torques (and Forces)p. 7
1.5 The Transitoryp. 10
1.6 Reduction of Inertias (and Masses)p. 10
1.7 Backward Motionp. 12
1.8 Periodic Ratep. 13
1 9 Transmission at Constant ¿p. 14
1.9.1 Selection of a Transmission with Constant ¿p. 14
1.10 Transmission at Nonconstant ¿p. 15
1.10.1 Planar Linkagesp. 17
1.10.2 Analytical Methods for Planar Linkagesp. 26
1.10.3 Cam Systemsp. 29
1.11 Constraints between Motor and Transmission: Clutchesp. 37
1.12 Crank Slider Mechanism: Dynamics and Balancingp. 46
1.12.1 Mass Distribution in the Crank Slider Mechanismp. 46
1.12.2 Dynamics of the Crank-Slider Mechanismp. 47
1.12.3 Vibration and Balancing of Engine Unitp. 54
1.12.4 Discussion of Ratio X Characteristicsp. 58
1.13 Notes on Friction Phenomena in Machinesp. 58
1.14 Tribology Elements and Lubrication of Machinesp. 62
1.14.1 Generalp. 63
1.14.2 A Thorough Analysis of Lubrication Typologiesp. 63
1.14.3 Lubrication Systemsp. 76
1.14.4 Particular Applicationsp. 76
1.15 Critical Speedsp. 79
1.15.1 Bending Critical Speeds (Bending Vibrations)p. 79
1.15.2 Torsional Critical Speeds (Torsional Vibrations)p. 83
Chapter 2 Lubrication and Friction in Machinesp. 87
2.1 Elastohydrodynamic Lubricationp. 87
2.2 Friction Coefficient Computationp. 89
2.3 Lubricated Contacts in Mechanisms with Planar Camp. 99
2.3.1 Kinematics, Geometry, and Dynamics Inferences on Frictionp. 101
2.3.2 Transient and Localizationp. 110
2.3.3 Properties of Fluid and Surfacep. 112
Chapter 3 Compliance-Manipulators with Flexible Linksp. 121
3.1 Model for the Bending Vibrations of a Linkp. 121
3.2 Approximation to Continuous Modelp. 124
3.2.1 tating Flexible Linkp. 24
3.2.2 Translating Flexible Linkp. 126
3.3 Modeling of Flexible Multilink Manipulatorp. 129
3.3.1 Kinematics of Flexible Linkp. 129
3.3.2 Discretization Methodsp. 132
3.3.2.1 Assumed-Modes Methodp. 132
3.3.2.2 Finite Element Modelp. 137
3.3.3 Dynamic Equations of Motionp. 141
3.4 Control of Mono-Link Rotating Flexible Manipulatorp. 144
3.4.1 Transfer Function of Single Flexible Linkp. 144
3.4.2 Determination of Motion through Dynamic Inversionp. 146
3.4.3 Experimental Verification of Resultsp. 147
Chapter 4 BacklashùCam Mechanisms and Coupling with Backlashp. 151
4.1 Dynamic Responsep. 151
4.2 Multibody System Impact in the Presence of Hysteretic Dissipationp. 153
4.3 Multibody System Impact in the Case of Lubricated Jointsp. 159
4.4 Simplified Model for Systems Impactsp. 163
4.5 Model of a Cam Mechanismp. 164
4.6 Reduction of Backlash Dynamic Effectsp. 166
4.7 Dynamic Optimization through Controlled Servomotorsp. 173
4.8 Dynamic Optimization Limitsp. 175
Chapter 5 Calibration of Industrial Manipulatorsp. 177
5.1 Parameters Characterizing Geometrical Performancep. 177
5.1.1 Introductionp. 177
5.1.2 Resolution, Repeatability, and Accuracyp. 178
5.1.3 Performance Characteristics Evaluationp. 180
5.1.4 Testing Conditionsp. 181
5.1.5 Pose Accuracy and Repeatabilityp. 182
5.1.6 Multidirectional Pose Accuracy Variationp. 184
5.1.7 Distance Accuracy and Repeatabilityp. 184
5.1.8 Path Accuracy and Path Repeatabilityp. 185
5.1.9 Path Velocity Performance Criteriap. 185
5.1.10 Considerationsp. 186
5.2 Sources of Geometrical Errorsp. 187
5.2.1 Introductionp. 187
5.2.2 Nongeometric Errorsp. 187
5.2.3 Geometric Errorsp. 188
5.2.4 Significance of Errorsp. 192
5.3 Restraint of the Consequences Triggered by the Presence of Geometrical Errorsp. 192
5.3.1 Introductionp. 192
5.3.2 Robot Designp. 193
5.3.3 Robot Calibrationp. 194
5.4 Robot Calibrationp. 195
5.4.1 Classificationp. 195
5.4.2 Calibration Processp. 196
5.4.2.1 Modelingp. 197
5.4.2.2 Measurementp. 202
5.4.2.3 Identificationp. 209
5.4.2.4 Implementationp. 212
5.4.3 Case of Studyp. 213
Chapter 6 Dynamic Modeling of Industrial Robotsp. 219
6.1 Robotic Systemp. 219
6.2 Experimental Tests on a Mono-Axis Prototypep. 220
6.2.1 Description of the Mono-Axis Systemp. 220
6.2.2 Requirements Satisfied by the Systemp. 223
6.2.3 Possible Applications of the Mono-Axis Systemp. 223
6.2.4 Experimental Evaluation of Some Mechanical Parameters of the Mono-Axis Systemp. 225
6.2.4.1 Experimental Evaluation of the Stiffness in the Spring for Connecting the Two Bogiesp. 225
6.2.4.2 Experimental Evaluation of Viscous Damping and Sliding Frictionp. 226
6.2.5 The Backlash Effect on an Elastic Mechanical Transmissionp. 231
6.2.6 Analysis of the Dynamic Behavior of the Single-Axis Systemp. 237
6.2.7 Bibliographic Notesp. 240
6.3 Model of a SCARA Industrial Robotp. 242
6.3.1 Introductionp. 242
6.3.2 The SCARA Robot ICOMATIC 03p. 243
6.3.3 The Mathematical Model of the Robot Scara Icomatic 03p. 243
6.3.4 Estimation of the Model Parametersp. 247
6.3.4.1 Measurements of Mass and Lengthp. 248
6.3.4.2 Dynamic Tests for Estimating the Joints' Pliabilityp. 48
6.3.4.3 Static Tests for Estimating the Joints' Pliabilityp. 251
6.3.4.4 Summary and Comment of the Model Parameters Estimatep. 252
6.3.5 Disturbance Induced by the Robot Controllerp. 255
6.3.6 Analysis of Real and Simulated Datap. 258
6.3.7 Advantages and Defects of the Modelp. 264
6.3.8 Comparison of Reality Model: Conclusionsp. 265
6.3.9 Bibliographic Notesp. 266
Chapter 7 Intermittorsp. 267
7.1 Cam Intermittorsp. 267
7.2 Mathematical Modelsp. 268
7.2.1 Rigid Modelp. 270
7.2.2 Rigid Model with Assigned Velocity of the Motorp. 273
7.2.3 Rigid Model with Characteristic Curve of the Motorp. 273
7.2.4 Elastic Model with; One Degree of Freedomp. 273
7.2.4.1 Motor Transmission Intermittor and Joint-Tablep. 273
7.2.5 Elastic Model with One Degree of Freedom with Constant Motor Velocityp. 276
7.2.6 Elastic Model with One Degree of Freedom with Characteristic Curve of the Motorp. 276
7.2.7 Elastic Model with Two Degrees of Freedomp. 277
7.2.7.1 Subsystem Motor-Reducerp. 277
7.2.7.2 Subsystem-Compliant Elastoviscous Joint on the Drive Shaftp. 278
7.2.7.3 Subsystem Intermittorp. 278
7.2.7.4 Subsystem Downstream of the Intermittorp. 279
7.2.8 Elastic Model with Two Degrees of Freedom and Constant Motor Velocityp. 281
7.2.9 Elastic Model with Two Degrees of Freedom and Characteristic Curve of the Motorp. 282
7.3 Model Utilization in the Simulationsp. 282
7.3.1 Integration of the Differential Equations of the Modelsp. 283
7.3.2 Models Validation and Analysis of Parametric Sensibilityp. 283
7.3.3 Automatic Estimation of the Compliance Parameters at the Jointsp. 284
7.3.4 The Implemented Genetic Algorithmp. 285
7.3.4.1 Selection Operatorp. 285
7.3.4.2 Crossover Operatorp. 286
7.3.4.3 Mutation Operatorp. 286
7.4 Validation of the Parametric Identificationp. 286
7.4.1 Comparison between Simulated and Experimental Data after Parametric Identificationp. 286
7.4.2 Approximate Estimation of the Compliance Parameters of the Joint Downstream of the Intermittorp. 288
7.5 Comparison between the Developed Modelsp. 289
7.6 Analysis of Parametric Sensibilityp. 294
7.7 Optimization of the Dynamic Behavior and Other Application Examples of the Developed Modelsp. 297
7.7.1 Optimization of the CamProfilep. 297
7.7.2 Optimization of the Cam Profile with Minimization of Negative Peak as Objective Functionp. 297
7.7.3 Optimization of the Cam Profile with Minimization of the Overshooting as Objective Functionp. 298
7.7.4 Optimization of the Cam Profile with Minimization of the Average Torque Provided by the Motor as Objective Functionp. 299
7.8 Utilization of the Model for the Foreknowledge of the System Dynamic Behaviorp. 300
7.8.1 Approximate Estimation of Overshootingp. 301
7.8.1.1 Calculation of the Elasticity and Dampening of the Joint Downstream of the Intermittorp. 301
7.8.1.2 Estimated Backlash in the Reducerp. 301
7.8.1.3 Estimated Overshooting for J c Equal to 190000 kgmm 2p. 302
7.8.1.4 Approximate Estimation of Overshooting by Means of the Model with Two Degrees of Freedomp. 303
7.8.1.5 Simulation and Calculation of the Overshooting for J c Equal to 190000 kgmm 2p. 305
Referencesp. 307
lAppendix A

p. 323

Appendix B

p. 337

Appendix C

p. 355

Indexp. 371