ComputerAided_Design_Engineering_amp_Manufactur.pdf

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FIGURE 2.5 prepared process plans for tooling, fixturing, and NC programming, resulting in very slow production rate. Delivery was also uncertain because few job shops were able or prepared to machine the usually one-off orders. To reduce the lead time for the manufacture of the space-frame nodes, a computer-automated machining cell for the manufacture of the nodes has been developed. The machining cell consists of a three-axis vertical machining center. With automatic tool-changing capability, the machining center can complete all required machining operations for a given setup without manual interruption. Machining centers are increasingly customized to automate machining of parts in batches that vary in lot size from as low as one for those with very complex profiles to several thousand. 11–13 The machining center for the cell is linked to a two-axis CNC rotary table that is used to orient the spherical node (Figure 2.8). The cell is designed to machine spherical nodes of diameters 85, 100, 125 and 150 mm with bolt holes varying from M12 to M27. The nodes are machined in batches that have the same hole configurations. For each node, a mounting hole has to be machined so that it can be © 2001 by CRC Press LLC Extracted features from part drawing.
FIGURE 2.6 mounted on the rotary table. Two parts are machined in the cell between each loading and unloading. One is a blank forged sphere that is suitably cl<strong>amp</strong>ed in a fixed fixture for the machining of the mounting hole. The other node is the one that has just been machined with a mounting hole and transferred from the fixed fixture to the rotary table where it is bolted to the table using the mounting hole. A set of quickchange fixtures has been specially designed to secure and locate different diameters of nodes. For each bolt hole and mounting hole, a flat surface centered at the axis of the hole is machined off the spherical node at a depth that depends on the diameter of the node. © 2001 by CRC Press LLC Process sheet and partial listing of NC program.
Page 1 and 2: COMPUTER-AIDED DESIGN, ENGINEERING,
Page 3 and 4: Library of Congress Cataloging-in-P
Page 5 and 6: Editor Cornelius T. Leondes, B.S.,
Page 7 and 8: Chapter 1 Chapter 2 Chapter 3 Chapt
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: TABLE 2.1 A CAD-Generated Hole Conf
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
Page 71 and 72: Product Model Representation for Co
Page 73 and 74: © 2001 by CRC Press LLC TABLE 2.5
Page 75 and 76: TABLE 2.7 Partial Listing of Dimens
Page 77 and 78: 24. Makinouchi, S., Okamoto, M., an
Page 79 and 80: Bijan Shirinzadeh Monash University
Page 81 and 82: FIGURE 3.1 Trends in flexible manuf
Page 83 and 84: FIGURE 3.3 and constrain different
Page 85 and 86: Other Fixturing Techniques There ar
Page 87 and 88: FIGURE 3.6 contact point. The geome
Page 89 and 90: FIGURE 3.8 The vertical support fix
Page 91 and 92: and moments about the contact point
Page 93 and 94: een identified, the normals are use
Page 95 and 96: one of choosing the variables: such
Page 97 and 98: Fixture Module Location An importan
Page 99 and 100:
FIGURE 3.15 Illustration of functio
Page 101 and 102:
FIGURE 3.18 Minimum separation test
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direction) the face, respectively.
Page 105 and 106:
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
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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
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Although researchers appear to agre
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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
Page 235 and 236:
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
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FIGURE 8.4(a) Generate a new IG usi
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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
Page 273 and 274:
FIGURE 8.12(e) Add [p8 t9 p14 t10 p
Page 275 and 276:
FIGURE 8.13 An example of rule TT.0
Page 277 and 278:
FIGURE 8.14 A GPN model of a machin
Page 279 and 280:
FIGURE 8.15(b) The first exclusive
Page 281 and 282:
FIGURE 8.15(d) The last exclusive T
Page 283 and 284:
FIGURE 8.15(f) After entering the a
Page 285 and 286:
FIGURE 8.15(h) Completion of Compon
Page 287 and 288:
FIGURE 8.15(j) Two PP-generations:
Page 289 and 290:
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
Page 295 and 296:
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
Page 315 and 316:
FIGURE 9.6 FIGURE 9.7 Geometric Int
Page 317 and 318:
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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