ComputerAided_Design_Engineering_amp_Manufactur.pdf

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FIGURE 2.24 Representative geometric tolerances from a CAD model. FIGURE 2.25 Representative dimensional tolerances from a CAD model. © 2001 by CRC Press LLC
TABLE 2.7 Partial Listing of Dimensional Tolerances for a CAD Model Upper Lower DTOL Feature Reference DTOL ID DTOL Type Value Value Element ID Element 0 LINEAR 126.01 125.99 SRF [16] 1 [SRF 12] 1 LINEAR 126.01 125.99 SRF [14] 1 SRF [18] 2 LINEA R 75.01 74.99 SRF [7] 1 SRF [2] 3 LINEAR 25.01 24.99 SRF [36] 28 SRF [31] 6 RADIUS 12.01 11.99 SRF [43] 28 NUL 7 LINEAR 37.01 36.99 SRF [41] 28 SRF [18] 8 LINEAR 37.01 36.99 SRF [45] 28 SRF [12] 9 DIAMETER 30.01 29.99 FEAT [67] 67 NUL 13 DIAMETER 50.01 49.99 FEAT [95] 95 NUL 14 LINEAR 20.01 19.99 SRF [125] 117 SRF [120] 15 LINEAR 50.01 49.99 SRF [136] 117 AXIS [108] 17 LINEAR 44.01 43.99 SRF [132] 117 AXIS [108] 18 LINEAR 32.01 31.99 SRF [132] 117 AXIS [108] 19 RADIUS 8.01 7.99 SRF [136] 117 NUL 25 DIAMETER 42.01 41.99 FEAT [174] 174 NUL 26 LINEAR 25.01 24.99 FEAT [174] 174 SRF [2] 27 LINEAR 31.01 30.99 FEAT [174] 174 FEAT [84] 28 LINEAR 4.01 3.99 SRF [200] 194 SRF [197] 31 ANGULAR 18.5 17.5 SRF [203] 194 SRF [2] 38 DIAMETER 16.01 15.99 FEAT [242] 242 NUL 39 LINEAR 10.01 9.99 FEAT [242] 242 SRF [2] 41 LINEAR 6.01 5.99 SRF [268] 262 SRF [265] TABLE 2.8 Partial Listing of Initial Inspection Features Generated from a CAD Model Inspection Feature ID . reference or datum reference from the GD&T, and it forms the measurement element of the inspection feature. Since a geometrical element may have more than one GD&T specification, a measurement element may be split into subelements depending on the GD&T specifications. Table 2.8 shows a partial listing of the initial inspection features extracted from the CAD model based on measurement elements and GD&T information. © 2001 by CRC Press LLC Element Type Element Surfaces Element Feature Datum Plane Datum Axis Dimensional Tolerances Geometric Tolerances 0 PLANE [2] 1 20 NUL NUL NUL 1 PLANE [18] 1 22 NUL NUL NUL 2 PLANE [12] 1 24 NUL NUL NUL 3 CYLIN [79] [81] 67 NUL 84 [9] [0] [4] 4 PLANE [7] 1 NUL NUL [2] [2] [10] 5 PLANE [16] 1 NUL NUL [0] NUL 6 PLANE [14] 1 NUL NUL [1] NUL 7 CYLIN [43] 28 NUL NUL [6] NUL 8 PLANE [41] 28 NUL NUL [7] NUL 9 PLANE [45] 28 NUL NUL [8] NUL 10 PLANE [36] 28 NUL NUL [3] NUL 11 CYLIN [103] [105] 95 NUL NUL [13] [1] [5] 12 PLANE [136] 117 NUL NUL [15] NUL 13 PLANE [132] 117 NUL NUL [17] [18] NUL 14 CYLIN [134] 117 NUL NUL [19] NUL 15 PLANE [125] 117 NUL NUL [14] NUL 16 CYLIN [186] [184] 174 NUL NUL [25] [26] [27] [6] [9] 17 PLANE [203] 194 NUL NUL [31] [32] [7] 18 PLANE [200] 194 NUL NUL [28] NUL 19 CYLIN [252] [254] 242 NUL NUL [39] [38] NUL 20 PLANE [268] 262 NUL NUL [41] NUL
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COMPUTER-AIDED DESIGN, ENGINEERING,
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Library of Congress Cataloging-in-P
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Editor Cornelius T. Leondes, B.S.,
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Chapter 1 Chapter 2 Chapter 3 Chapt
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the implementation of the IPD syste
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In our IPD system implementations,
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2. Specification of analysis-specif
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FIGURE 1.2 base or the design insta
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FIGURE 1.4 System architecture of t
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of a beam is considered for FEA. Th
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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
Page 71 and 72: Product Model Representation for Co
Page 73: © 2001 by CRC Press LLC TABLE 2.5
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
Page 103 and 104: 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
Page 113 and 114: 4.3 Measurement Points Sampling and
Page 115 and 116: Surface S2 Measurement Path FIGURE
Page 117 and 118: FIGURE 4.4 Rough phase alignment ba
Page 119 and 120: deviation between the nominal CAD d
Page 121 and 122: FIGURE 4.6(a) Sum of squares distan
Page 123 and 124: FIGURE 4.7(c) Trailing edge. (c) th
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FIGURE 4.8(a) Profile tolerance of
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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
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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
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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
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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
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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
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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
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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
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FIGURE 8.12(a) Add [p2 t7 p7 t8 p4]
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FIGURE 8.12(c) Add a token to p8 vi
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FIGURE 8.12(e) Add [p8 t9 p14 t10 p
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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
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FIGURE 8.17 An example of partial f
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Theorem 10: If pi → pk in a synth
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Note that control transitions are o
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t j than the lower at , it indicate
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• Programming logic and VLSI arra
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7. Chao, D. Y. and D. T. Wang, Appl
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53. Villaroel, J. L., J. Martinez,
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q u : the numerator of the least ra
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geometric modeling, engineering ana
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In dimension driven or parametric d
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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
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FIGURE 9.12 3-D constraints. © 200
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The distance constraint from pt �
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therefore: Now merge the lists and
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Quantity analysis methods have the
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y a revolute joint. By selecting al
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