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Computer-Aided Design and Manufacturing: Methods and Tools 2nd ed. 1986. Softcover reprint of the original 2nd ed. 1986 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 458 pages, height x width: 244x170 mm, weight: 814 g, XIV, 458 p., 1 Paperback / softback
  • Sērija : Computer Graphics - Systems and Applications
  • Izdošanas datums: 08-Dec-2011
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642827500
  • ISBN-13: 9783642827501
  • Mīkstie vāki
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  • Formāts: Paperback / softback, 458 pages, height x width: 244x170 mm, weight: 814 g, XIV, 458 p., 1 Paperback / softback
  • Sērija : Computer Graphics - Systems and Applications
  • Izdošanas datums: 08-Dec-2011
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642827500
  • ISBN-13: 9783642827501
Manufacturing contributes to over 60 % of the gross national product of the highly industrialized nations of Europe. The advances in mechanization and automation in manufacturing of international competitors are seriously challenging the market position of the European countries in different areas. Thus it becomes necessary to increase significantly the productivity of European industry. This has prompted many governments to support the development of new automation resources. Good engineers are also needed to develop the required automation tools and to apply these to manufacturing. It is the purpose ofthis book to discuss new research results in manufacturing with engineers who face the challenge of building tomor­ row's factories. Early automation efforts were centered around mechanical gear-and-cam technology and hardwired electrical control circuits. Because of the decreasing life cycle of most new products and the enormous model diversification, factories cannot be automated efficiently any more by these conventional technologies. With the digital computer, its fast calculation speed and large memory capacity, a new tool was created which can substantially improve the productivity of manufactur­ ing processes. The computer can directly control production and quality assurance functions and adapt itself quickly to changing customer orders and new products.

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Springer Book Archives
Introduction v
1 CAD Systems and Their Interface with CAM
1(32)
H. Grabowski
R. Anderl
1.1 Introduction
3(1)
1.2 Philosophy of the Application of CAD Systems
3(4)
1.3 Software Structure of CAD Systems
7(3)
1.4 Computer Internal Model
10(5)
1.4.1 Different Geometric Models for CAD
11(2)
1.4.2 Importance of Technology-Oriented Model for CAD/CAM
13(2)
1.5 Interfaces of CAD Systems
15(7)
1.5.1 Database Manipulation Language (DML)
16(2)
1.5.2 Initial Graphics Exchange Specification (IGES)
18(2)
1.5.3 Graphical Kernel System (GKS)
20(2)
1.6 Integration of the Manufacture Planning Process
22(5)
1.6.1 Planning Process Based on CAD Models
24(1)
1.6.2 NC-Machine Tool Programming Based on CAD Models
25(2)
1.7 Economic Aspects
27(3)
1.8 Conclusion
30(1)
1.9 References
30(1)
1.10 Additional Literature
31(2)
2 Design for Assembly
33(32)
A. H. Redford
2.1 Introduction
35(1)
2.2 Design for Assembly Philosophy
36(1)
2.3 Determination of the Most Appropriate Process
37(2)
2.4 Re-design for Manual Assembly
39(8)
2.4.1 Classification and Coding for Handling and Insertion
39(3)
2.4.2 Sequence of Design Analysis
42(1)
2.4.3 Determination of the Sequence of Assembly
42(1)
2.4.4 Compilation of the Worksheet
42(1)
2.4.5 Determination of Assembly Efficiency
42(1)
2.4.6 Elimination of Potentially Redundant Parts
43(2)
2.4.7 Re-design of High-Cost Handling or Insertion Parts
45(2)
2.5 Re-design for Automatic Assembly
47(10)
2.5.1 Classification and Coding for Automatic Handling
47(3)
2.5.2 Classification and Coding for Automatic Insertion
50(7)
2.6 Robots in Manufacturing
57(1)
2.7 Characteristics of Assembly Robots
57(1)
2.8 Requirements for Robotic Assembly
58(4)
2.8.1 Faster Robots
58(1)
2.8.2 Limited Capability, Cheap Robots
59(1)
2.8.3 Versatile, Inexpensive Grippers
59(1)
2.8.4 Identification of Assembly Families
60(1)
2.8.5 Improved Assembly Efficiency
61(1)
2.8.6 Low Cost Feeding
61(1)
2.9 Classification and Coding for Automatic Parts Handling for Flexible Assembly
62(1)
2.10 Classification and Coding for Automatic Insertion for Flexible Assembly
62(1)
2.11 Conclusions
63(2)
3 Technological Planning for Manufacture -- Methodology of Process Planning
65(52)
G. Spur
F.-L. Krause
3.1 Methodology of Process Planning
67(3)
3.1.1 Introduction
67(1)
3.1.2 Tasks of Process Planning
67(2)
3.1.3 Generation of the Process Plan
69(1)
3.1.4 Principles of Process Planning
69(1)
3.2 Development of APT and EXAPT
70(6)
3.2.1 APT System
70(2)
3.2.2 EXAPT System
72(1)
3.2.2.1 Programming of N/C Turning Operations
72(1)
3.2.2.2 Programming of Drilling and Milling Operations
73(1)
3.2.2.3 Programming of Punching, Nibbling and Flame-Cutting Operations
74(1)
3.2.2.4 Programming of Wire-Eroding Operations
74(1)
3.2.2.5 Files for Working Data
75(1)
3.3 Techniques of Computer Aided Process Planning
76(6)
3.3.1 Dialog Aided Planning
76(2)
3.3.2 Algorithms
78(1)
3.3.3 Decision Tables
79(1)
3.3.4 Data Files
80(2)
3.4 Graphical Simulation of Manufacturing Processes in Process Planning
82(3)
3.5 Systems for Computer Aided Process Planning Including Quality Control
85(9)
3.5.1 AUTAP System
85(2)
3.5.2 ARPL System
87(1)
3.5.3 CAPEX System
88(1)
3.5.4 CAPP System
89(1)
3.5.5 DISAP System
90(1)
3.5.6 DREKAL System
91(1)
3.5.7 PREPLA System
92(1)
3.5.8 CAPSY System (Inspection Planning)
93(1)
3.6 The CAPSY Process Planning System
94(3)
3.7 Planning of Assembly Sequences
97(4)
3.8 N/C Technology
101(3)
3.9 N/C Programming on the Shop Floor Using Graphical Simulation Techniques
104(2)
3.10 Programming of Robots Using Graphical Techniques
106(4)
3.11 Integrated Aspects of Technological Planning
110(4)
3.12 References
114(3)
4 Evolutionary Trends in Generative Process Planning
117(20)
R. Srinivasan
C. R. Liu
4.1 Introduction
119(1)
4.2 The Principal CAPP Methodologies
120(1)
4.3 Generative Process Planning
120(11)
4.3.1 Extended Part Programming Systems
121(1)
4.3.2 GPP Using Decision Tables and Tree Structures
122(1)
4.3.3 Iterative Algorithms
122(2)
4.3.3.1 Recursive Process Planning
124(1)
4.3.4 The Concept of Unit-Machined Surfaces
124(1)
4.3.4.1 COFORM
124(2)
4.3.4.2 APPAS
126(1)
4.3.4.3 AUTAP and AUTAP-NC
127(1)
4.3.4.4 More Sophisticated GPP Systems
128(3)
4.4 Adequacy of the Existing GPP's in the Wake of New Developments
131(2)
4.4.1 Recent Trends in the Design of CMS Control Systems
131(2)
4.5 Dynamic GPP Using Pattern Recognition Techniques: A New Concept
133(2)
4.5.1 Proposed Representation Schemes
134(1)
4.5.1.1 Object Representation
134(1)
4.5.1.2 Machine Tool Representation
134(1)
4.5.2 Process Planning Steps (Briefly)
134(1)
4.5.2.1 Flexible Planning Logic
134(1)
4.5.2.2 Identification of Surface Precedences
134(1)
4.5.2.3 Selection of Machines, Tool Bits and Clamping Positions
135(1)
4.6 References
135(2)
5 Design Methodology of Computer Integrated Manufacturing and Control of Manufacturing Units
137(46)
G. Doumeingts
M. C. Maisonneuve
V. Brand
C. Berard
5.1 Introduction
139(1)
5.2 The Need for a Methodology and a Conceptual Model of a CIM System
139(6)
5.2.1 The Use of a Design Methodology
139(1)
5.2.2 The Complexity of Computer Integrated Manufacturing
140(5)
5.3 Conceptual Model of a CIM System
145(6)
5.3.1 The Notion of the System
145(1)
5.3.2 Conceptual Models
146(1)
5.3.3 ICAM Model and Architecture
146(1)
5.3.4 GRAI Conceptual Model
147(4)
5.4 Methods of Designing Production Control Systems
151(7)
5.4.1 The Structured System Analysis and Design Method (SSAD)
151(1)
5.4.2 ICAM Definition Language (IDEF)
152(2)
5.4.3 GRAI Method of Process Analysis
154(4)
5.5 Design of Flexible Manufacturing Systems Using Modelling Techniques and Simulation
158(12)
5.5.1 What is a Flexible Manufacturing System?
158(1)
5.5.2 Design of Flexible Manufacturing Systems
159(1)
5.5.3 GRAI Methodology
160(10)
5.6 The Control of the Manufacturing Unit
170(5)
5.6.1 Scheduling
170(1)
5.6.2 Classification of Scheduling Problems
170(1)
5.6.3 Scheduling Method
171(4)
5.7 GRAI's Approach to Manufacturing Control
175(8)
5.7.1 Introduction
175(1)
5.7.2 GRAI's Approach to Modelling
176(7)
6 Computing Aids to Plan and Control Manufacturing
183(50)
R. Dillmann
6.1 Hierarchical Computer Control Equipment for Manufacturing Systems
185(22)
6.1.1 Introduction
185(1)
6.1.2 Definition of Hierarchical Control Systems
185(3)
6.1.3 Control Tasks at Each Level in the Hierarchy
188(4)
6.1.4 The Communication Network
192(4)
6.1.5 Influence of VLSI Technology on Hierarchical Control Systems
196(1)
6.1.5.1 Minicomputers for Higher Control Levels
197(1)
6.1.5.2 Microcomputers for Operational Control Levels
198(2)
6.1.5.3 VLSI Interface Modules
200(1)
6.1.5.4 Memory
201(1)
6.1.5.5 VLSI Data Peripherals
202(3)
6.1.5.6 Data Peripherals
205(1)
6.1.6 Software and System Development Aids
206(1)
6.2 Hierarchical Control Architecture for Manufacturing Cells
207(11)
6.2.1 Introduction
207(1)
6.2.2 Robot Architecture
208(3)
6.2.3 Internal Robot Data Representation
211(4)
6.2.4 Task Decomposition and Execution
215(1)
6.2.5 Data Flow and Computational Concept
216(2)
6.2.6 Conclusion
218(1)
6.3 Graphical Simulation Techniques for Planning and Programming of Robot Based Manufacturing Cells
218(7)
6.3.1 Introduction
218(3)
6.3.2 System Structure for Interactive Planning with a Graphic Simulator
221(4)
6.3.3 Conclusion
225(1)
6.4 Advanced Computer Architectures (5th Generation)
225(6)
6.4.1 Introduction
225(1)
6.4.2 Components of 5th Generation Computers
226(1)
6.4.3 Applications of 5th Generation Computers
227(1)
6.4.4 The Basic Software System and Programming Languages
228(1)
6.4.5 Computer Architecture of the 5th Generation Computer Systems
229(2)
6.4.6 Conclusion
231(1)
6.5 References
231(2)
7 Programming of Robot Systems
233(46)
G. Gini
M. Gini
M. Cividini
G. Villa
7.1 Robot Languages in the Eighties
235(9)
7.1.1 Introduction
235(1)
7.1.2 Robot Programming
236(2)
7.1.3 Languages and Software Environments
238(2)
7.1.4 Functional Language and Logic Programming
240(1)
7.1.5 European Robot Languages
241(3)
7.1.6 Conclusions
244(1)
7.2 Programming Languages for Manipulation and Vision in Industrial Robots
244(18)
7.2.1 Introduction
245(2)
7.2.2 How to Classify Robot Programming Languages
247(2)
7.2.3 Joint-Level Languages: The Example of MAL
249(4)
7.2.4 Manipulator-Level Languages: Mathematical Foundations
253(2)
7.2.5 Object Representation in Robot Programming Languages
255(3)
7.2.6 At the Object Level: AL and Vision
258(3)
7.2.7 Object and Task Levels: Problems
261(1)
7.2.8 Conclusions
262(1)
7.3 Programming a Vision System
262(9)
7.3.1 Introduction
262(1)
7.3.2 A Vision System for Industrial Applications
263(1)
7.3.3 Logical Organization of GYPSY
264(1)
7.3.4 LIVIA: The User Programming Language
265(3)
7.3.5 Examples of LIVIA Programs
268(2)
7.3.6 Additional Position-Independent Features for Blobs and Models
270(1)
7.4 Towards Automatic Error Recovery in Robot Programs
271(5)
7.4.1 Introduction
271(1)
7.4.2 A Method for Automatic Error Recovery
272(1)
7.4.2.1 Dynamic Model
272(1)
7.4.2.2 Semantics
273(1)
7.4.2.3 Knowledge Base
274(1)
7.4.2.4 Recovery Procedure
275(1)
7.4.3 Concluding Remarks
275(1)
7.5 References
276(3)
8 Present State and Future Trends in the Development of Programming Languages for Manufacturing
279(44)
U. Rembold
W. Epple
8.1 Introduction
282(1)
8.2 Programming of Machine Tools
283(10)
8.2.1 The APT Language
283(1)
8.2.2 The EXAPT Programming System
284(4)
8.2.3 Interactive Symbolic Programming
288(2)
8.2.4 Special Purpose Languages
290(2)
8.2.5 Generative Programming by the Machine Tool Control
292(1)
8.3 Programming Languages for Robots
293(16)
8.3.1 General Requirements for Programming Languages for Robots
293(2)
8.3.2 Programming Methods for Robots
295(1)
8.3.2.1 Manual Programming
295(1)
8.3.2.2 Programming with the Help of the Robot's Brake System
295(1)
8.3.2.3 Sequential Optical or Tactile Programming
295(1)
8.3.2.4 Master-Slave Programming
296(1)
8.3.2.5 Teach-In-Method
296(1)
8.3.2.6 Textual Programming
296(1)
8.3.2.7 Acoustic Programming
296(1)
8.3.2.8 Design Considerations for a High Order Language
296(2)
8.3.3 A Survey of Existing Programming Languages
298(1)
8.3.4 Concepts for New Programming Languages
299(5)
8.3.5 Programming with a Natural Language
304(1)
8.3.6 Implicit Programming Languages
304(1)
8.3.7 Programming Aids
304(5)
8.4 Process Control
309(8)
8.4.1 Extensions of Existing Programming Languages
309(1)
8.4.2 PEARL -- A Process and Experiment Automatic Realtime Language
310(1)
8.4.3 ADA
311(2)
8.4.4 Tools for the Development of Process Control Systems
313(4)
8.5 Commercial Data Processing
317(1)
8.6 Future Trends
318(3)
8.7 References
321(2)
9 Quality Assurance and Machine Vision for Inspection
323(52)
P. Levi
9.1 Introduction
325(1)
9.2 Quality Assurance: Functions, Problems and Realizations
326(25)
9.2.1 Quality Assurance Functions
326(3)
9.2.2 Design of a Computer Integrated QA System
329(4)
9.2.3 Hierarchical Computer Systems for Quality Assurance
333(1)
9.2.4 Architecture of a Data Acquisition System
334(6)
9.2.5 Quality Assurance Methods
340(1)
9.2.6 Measuring Methods for Quality Assurance
341(1)
9.2.6.1 Contact Measurement
341(5)
9.2.6.2 Non-Contact Measurements
346(1)
9.2.6.3 Manual Input
347(1)
9.2.7 Computer Languages for Test Applications
348(1)
9.2.8 Implementation of a QA Computer System
349(2)
9.3 Machine Vision: Inspection Techniques, Mensuration and Robotics
351(21)
9.3.1 Visual Inspection Tasks
351(2)
9.3.2 Machine Vision Techniques for Inspection
353(1)
9.3.2.1 Template Matching
353(1)
9.3.2.2 Decision-Theoretic Approach
353(1)
9.3.2.3 Syntactical Approach
354(1)
9.3.3 Automated Microscopic Material Testing
355(1)
9.3.4 Laser Based Measurements and Inspection
356(1)
9.3.4.1 Quantitative Mensuration
356(3)
9.3.4.2 Semi-Quantitative Mensuration (Scanner)
359(3)
9.3.5 Synthetic Images for Defect Classification
362(2)
9.3.6 Robot Vision for Recognition and Sorting
364(1)
9.3.6.1 Interfacing of a Vision System with an Assembly Robot
364(5)
9.3.6.2 Sorting of Castings
369(3)
9.4 References
372(3)
10 Production Control and Information Systems
375(26)
A.-W. Scheer
10.1 Strategies for the Selection of Software Packages in Production
377(4)
10.2 Data Management Requirements for Production Control
381(8)
10.2.1 Development of a Data Base Scheme for Primary Data
381(1)
10.2.1.1 Bill of Materials
381(2)
10.2.1.2 Work Descriptions
383(1)
10.2.1.3 Manufacturing Equipment
383(1)
10.2.2 Special Cases of Variant Production
384(1)
10.2.3 Data Management with Software Packages
385(1)
10.2.3.1 Conventional File Management
385(1)
10.2.3.2 Specialized Data Base Systems
385(1)
10.2.3.3 General Data Base Systems
385(3)
10.2.3.4 System-Independent Data Bases
388(1)
10.2.4 Future Developments in Data Management
388(1)
10.3 Planning Strategies for the Implementation of Production Control Systems
389(7)
10.3.1 Planning Stages
389(1)
10.3.1.1 Master Production Scheduling
389(1)
10.3.1.2 Material Requirement Planning
390(1)
10.3.1.3 Capacity Planning
391(2)
10.3.1.4 Job Shop Control
393(1)
10.3.1.5 Data Collection
393(1)
10.3.2 Implementation Strategies
393(3)
10.4 The Interface Between CAD and Production Control
396(1)
10.5 The Interface Between Production Control and Marketing
396(3)
10.5.1 Master Production Scheduling
397(2)
10.5.2 Order Handling
399(1)
10.6 Factors Influencing the Acceptance of Production Control Software
399(2)
11 Economic Analysis of Computer Integrated Manufacturing Systems
401(44)
F. Leimkuhler
11.1 Introduction
403(1)
11.2 Process Planning
404(2)
11.3 Capacity Analysis Using CAN-Q
406(2)
11.4 Capital and Labour Requirements
408(2)
11.5 Payback, Capital Cost, and Taxes
410(3)
11.6 Cost Comparisons
413(3)
11.7 System Efficiency
416(2)
11.8 Justification and Automation Equipment
418(5)
11.9 Summary
423(3)
11.10 References
426(1)
11.11 Appendix
427(18)
Subject Index 445(10)
Contributors 455