ComputerAided_Design_Engineering_amp_Manufactur.pdf

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Balaji Bharadwaj Visteon Corporation Allen Park, Michigan D.Y. Chao National Cheng Chi University Taipei, Taiwan B.T. Cheok National University of Singapore Singapore Siva R.K. Jasthi Structural Dynamics Research Corporation Arden Hills, Minnesota Hsu Chang Liu Solid Works Concord, Massachusetts Han-Tong Loh National University of Singapore Singapore Christopher McDermott Rensselaer Polytechnic Institute Troy, New York A.Y.C. Nee National University of Singapore Singapore Ken-Soon Neo National University of Singapore Singapore Bart O. Nnaji University of Pittsburgh Pittsburgh, Pennsylvania Contributors Heui Jae Pahk Seoul National University Seoul, Korea P. Nageswara Rao MARA Institute of Technology Selangor, Malaysia Utpal Roy Syracuse University Syracuse, New York Bijan Shirinzadeh Monash University Clayton, Victoria, Australia Yoke-San Wong National University of Singapore Singapore
Chapter 1 Chapter 2 Chapter 3 Chapter 4 Chapter 5 Chapter 6 Chapter 7 Chapter 8 Chapter 9 Intelligent Computer-Aided Design (ICAD) Techniques for Design Automation Balaji Bharadwaj and Utpal Roy Computer-Aided Design (CAD) for the Translation of Geometric Data to Numerical Control (NC) Programs for Manufacturing Systems Yoke-San Wong, Han-Tong Loh, and Ken-Soon Neo CAD-Based Task Planning and Analysis for Reconfigurable Workholding for Workpiece Positioning and Constraining Bijan Shirinzadeh Integrated Precision Inspection System for Manufacturing Based on CAD/CAM/CAI Environment Heui Jae Pahk Computer-Aided Process Planning (CAPP) in Manufacturing Systems and Their Implementation P. Nageswara Rao and Siva R.K. Jasthi Computer-Aided Design (CAD) Training Programs and Their Application in Electronics and Telecommunication Manufacturing Systems Christopher McDermott Intelligent Techniques for the Planning, Design, and Manufacture of Progressive Dies A.Y.C. Nee and B.T. Cheok Computer-Aided Design (CAD) Technique for Flexible Manufacturing Systems (FMS) Synthesis Utilizing Petri Nets D.Y. Chao Computer-Aided Design Techniques for Development of Automated Product Assembly Systems in Manufacturing Systems Bart O. Nnaji and Hsu Chang Liu Contents
Page 1 and 2: COMPUTER-AIDED DESIGN, ENGINEERING,
Page 3 and 4: Library of Congress Cataloging-in-P
Page 5: Editor Cornelius T. Leondes, B.S.,
Page 9 and 10: the implementation of the IPD syste
Page 11 and 12: In our IPD system implementations,
Page 13 and 14: 2. Specification of analysis-specif
Page 15 and 16: FIGURE 1.2 base or the design insta
Page 17 and 18: FIGURE 1.4 System architecture of t
Page 19 and 20: of a beam is considered for FEA. Th
Page 21 and 22: FIGURE 1.7 through the control expe
Page 23 and 24: 2. machining facility (e.g., gang m
Page 25 and 26: from the FBDS. The user also specif
Page 27 and 28: Depending on the type of feature to
Page 29 and 30: TABLE 1.6 Tolerance synthesis is de
Page 31 and 32: FIGURE 1.12 Display of the NC tool
Page 33 and 34: component geometric entities and va
Page 35 and 36: FIGURE 1.14 The system architecture
Page 37 and 38: TABLE 1.10 User Input for the Toler
Page 39 and 40: TABLE 1.11 Tolerance Specifications
Page 41 and 42: 7. Z. Young and I. R. Groose. A rul
Page 43 and 44: FIGURE 2.1 Tool paths generated for
Page 45 and 46: FIGURE 2.2 sented by instances of f
Page 47 and 48: TABLE 2.1 A CAD-Generated Hole Conf
Page 49 and 50: FIGURE 2.6 mounted on the rotary ta
Page 51 and 52: FIGURE 2.8 fixture for the machinin
Page 53 and 54: FIGURE 2.10 or best-fit, or the cur
Page 55 and 56: FIGURE 2.11 Linear approximation of
Page 57 and 58:
FIGURE 2.13 Circular approximation
Page 59 and 60:
FIGURE 2.14(b) Circular approximati
Page 61 and 62:
FIGURE 2.16 Types of biarcs. FIGURE
Page 63 and 64:
FIGURE 2.18 Approximation of scanne
Page 65 and 66:
FIGURE 2.20 A touch trigger probe c
Page 67 and 68:
TABLE 2.4 Substitute Elements in CM
Page 69 and 70:
FIGURE 2.21 CMM planning requiremen
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Product Model Representation for Co
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© 2001 by CRC Press LLC TABLE 2.5
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TABLE 2.7 Partial Listing of Dimens
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24. Makinouchi, S., Okamoto, M., an
Page 79 and 80:
Bijan Shirinzadeh Monash University
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FIGURE 3.1 Trends in flexible manuf
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FIGURE 3.3 and constrain different
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Other Fixturing Techniques There ar
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FIGURE 3.6 contact point. The geome
Page 89 and 90:
FIGURE 3.8 The vertical support fix
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and moments about the contact point
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een identified, the normals are use
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one of choosing the variables: such
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Fixture Module Location An importan
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FIGURE 3.15 Illustration of functio
Page 101 and 102:
FIGURE 3.18 Minimum separation test
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direction) the face, respectively.
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FIGURE 3.21 Software structure for
Page 107 and 108:
3.8 Conclusion A reconfigurable fix
Page 109 and 110:
Heui Jae Pahk Seoul National Univer
Page 111 and 112:
FIGURE 4.1(b) Conceptual framework
Page 113 and 114:
4.3 Measurement Points Sampling and
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Surface S2 Measurement Path FIGURE
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FIGURE 4.4 Rough phase alignment ba
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deviation between the nominal CAD d
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FIGURE 4.6(a) Sum of squares distan
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FIGURE 4.7(c) Trailing edge. (c) th
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FIGURE 4.8(a) Profile tolerance of
Page 127 and 128:
The calculated minimum form error i
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FIGURE 4.11(a) A typical mold havin
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FIGURE 4.11(d) Inspection results f
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FIGURE 4.12(c) Maximum deviation (p
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5.1 Introduction Developments in th
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process plan for a part (Figure 5.3
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FIGURE 5.5 leading to the developme
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the previously stored process plan
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FIGURE 5.7 Techniques of defining a
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Feature Recognition and Extraction
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in relation to another feature (e.g
Page 149 and 150:
FIGURE 5.9 Framework for building a
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FIGURE 5.10 Process plan content.
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FIGURE 5.12 Schematic sketch of the
Page 155 and 156:
Several techniques of defining a fe
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TABLE 5.1 Data Structure for Repres
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FIGURE 5.16 Classification of the t
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system to ensure that the part bein
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FIGURE 5.19 Graphical model of the
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TABLE 5.4 Data Structure for Repres
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FIGURE 5.20 Mapping between machini
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algorithms. (Some details of the pr
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FIGURE 5.24 An example rotational p
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FIGURE 5.26 Down_face-turn-up_face
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FIGURE 5.27 Procedure for machine t
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FIGURE 5.28 Determining the number
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DL is needed to be set only if the
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FIGURE 5.31 Operation sequencing co
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Cutting Tool Selection Selection of
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1. A tool is searched for in the da
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FIGURE 5.32 Inputs to optimization
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When these values are substituted,
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Usually, maximum and minimum speed
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FIGURE 5.33 Solution methodology.
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TABLE 5.6 Process Plan Internal Rep
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In a strict theoretical perspective
Page 199 and 200:
18. Domazet, D. S. and Lu, S. C. Y,
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63. Prasad, A. V. S. R. K., Rao, P.
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CAD systems. The sample consists of
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learn to master the new system. An
Page 207 and 208:
Although researchers appear to agre
Page 209 and 210:
Link and Zmud28 found that organic
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Informal Training Informal CAD trai
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informal training programs, felt th
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6. C. A. Beatty, Tall Tales and Rea
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A.Y.C. Nee National University of S
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FIGURE 7.1 Planning, design, and ma
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A metal stamping can have the follo
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FIGURE 7.3 Strips used to notch out
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A Skeletal Approach for the Recogni
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These findings can be used to devel
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Semi-Direct Piloting In cases where
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a larger value, the die operations
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FIGURE 7.9 Symbolic relationship be
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FIGURE 7.11 The shape of the envelo
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TABLE 7.1 Schema for the Generation
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strong reasons to support a move to
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FIGURE 7.16 3-D CAD model of a part
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References Cheok, B.T. et al. (1994
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include the once forbidden generati
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A temporal matrix (T-Matrix) is pro
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FIGURE 8.1 A basic process. (From R
Page 251 and 252:
FIGURE 8.4(a) Generate a new IG usi
Page 253 and 254:
Note if the pair of nodes are both
Page 255 and 256:
TABLE 8.1 Summary of the Rules Cond
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The correctness of these rules is e
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needs to show that after each full
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ule is violated, a warning should b
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Π1 Π3 Π4 FIGURE 8.8(a) After add
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
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A ik � ‘U’ and is in a cycle
Page 269 and 270:
FIGURE 8.12(a) Add [p2 t7 p7 t8 p4]
Page 271 and 272:
FIGURE 8.12(c) Add a token to p8 vi
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FIGURE 8.12(e) Add [p8 t9 p14 t10 p
Page 275 and 276:
FIGURE 8.13 An example of rule TT.0
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FIGURE 8.14 A GPN model of a machin
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FIGURE 8.15(b) The first exclusive
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FIGURE 8.15(d) The last exclusive T
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FIGURE 8.15(f) After entering the a
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FIGURE 8.15(h) Completion of Compon
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FIGURE 8.15(j) Two PP-generations:
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FIGURE 8.15(l) The last exclusive T
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t1 t5 p1 p5 t6 (a) t2 t3 t4 2 2 p2
Page 293 and 294:
FIGURE 8.17 An example of partial f
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Theorem 10: If pi → pk in a synth
Page 297 and 298:
Note that control transitions are o
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t j than the lower at , it indicate
Page 301 and 302:
• Programming logic and VLSI arra
Page 303 and 304:
7. Chao, D. Y. and D. T. Wang, Appl
Page 305 and 306:
53. Villaroel, J. L., J. Martinez,
Page 307 and 308:
q u : the numerator of the least ra
Page 309 and 310:
geometric modeling, engineering ana
Page 311 and 312:
In dimension driven or parametric d
Page 313 and 314:
FIGURE 9.3 configuration of bodies
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FIGURE 9.6 FIGURE 9.7 Geometric Int
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FIGURE 9.8 Intersection of degrees
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will introduce a way to propagate p
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Completeness of Dimensions Complete
Page 323 and 324:
FIGURE 9.12 3-D constraints. © 200
Page 325 and 326:
The distance constraint from pt �
Page 327 and 328:
therefore: Now merge the lists and
Page 329 and 330:
Quantity analysis methods have the
Page 331 and 332:
y a revolute joint. By selecting al
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