ComputerAided_Design_Engineering_amp_Manufactur.pdf

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FIGURE 1.10 • The final NC path is generated by taking into account machine-tool-specific information such as tool travel distance. The machining volumes generated in the earlier step are completely dependent on the geometry of the features but independent of the machine tool. However, the final NC path would have to account for machine-tool-specific machining instructions in order to generate an NC path that is feasible for machining on a certain machine tool. Case Study: Process Plan for Sensor Bed In this section, a case study is presented to demonstrate the working principles of the BBPP system. A s<strong>amp</strong>le part as shown in Figure 1.11 is created in the FBDS system using ten volumetric features (one square slot, two square holes, and seven cylindrical holes). The test part is a sensor bed for a wear testing machine. The different form features in the sensor bed require different levels of form and size accuracy. In addition to specifying the geometry of the part, the user also specifies the surface finish values for various features of the part. The PDM for the raw stock and the part is shown in Table 1.6. The BBPP system first determines that the raw stock needs to be machined to the dimensions of the finished workpiece using the slab milling machining operation. Subsequently, the BBPP system determines the process plan for machining the different features in the part. A high-level view of the process plan for machining the different features in the finished workpiece is shown in Table 1.7. The NC tool path for machining the slot feature (Feature 1) of the test part is shown in Figure 1.12. 1.5 Application Domain: Allocation of Tolerance Specifications The tolerance specifications assigned on a component govern the variability in the functional performance of the component, the accuracy and effort required by the various manufacturing processes to fabricate the component, the deviation allowed in component assembly, acceptable ranges of size, form, and locational variations of the components, and the ease of interchangeability of the components. Thus, tolerances influence a number of factors such as design function, manufacturing conditions, component assembly, serviceability, etc. 16 © 2001 by CRC Press LLC Framework of the NC tool path planning module.
TABLE 1.6 Tolerance synthesis is defined as the process of allocating tolerances to the size, form, and location of geometric entities of a component such that the cost incurred due to tolerances is minimized while satisfying functional and assembly requirements. Tolerance synthesis is a two-step procedure that involves the following tasks: (a) mapping part functions to equivalent functional tolerance limits and (b) constraining the functional tolerance limits with respect to manufacturing, assembly, and inspection constraints. Associated with tolerance synthesis is the issue of representation of tolerances such that it could be used effectively for the tasks of tolerance analysis and other downstream manufacturing activities. In this research work, we have demonstrated the application of ICAD techniques for performing the above two © 2001 by CRC Press LLC Feature Characteristics as Obtained from the PDM of the Raw Stock and the Finished Workpiece Product Data Model—Raw Stock Number of features—10, Raw stock dimensions—210 � 90 � 12 Finished workpiece dimensions—200 � 85 � 10, Raw stock hardness—200 BHN Product Data Model—Finished Workpiece Specifications Feature Feature Feature 1 2,3 4,5,6,7,8,9,10 Type Square slot Square hole Cylindrical hole Surface-id S11, S12, S13 S21, S22, S23, S24, S31, S32, S33, S34 S41, S51, S61, S71, S81, S91, S101 Dimensions 5, 5, 200 20, 10, 100 5, 10 Location (0, 0, 0) (40, 0, 0) (5, �98, 0), ( �5, �98, 0), (5, 98, 0) ( �40, 0, 0) (5, 98, 0), (3, �58, 0), (3, 38, 0) ( �3, 83, 0) Finish 4.0 2.0 0.005 Face-attachment 2 3 2 Tolerance-info Std. Tol. Std. Tol. Size: �/ �0.09, ⊥: 0.02 FIGURE 1.11 P IGES (View Independent) - - SET VDA Process planner NC code generator Project Data Manager - - Pearl Data Manager - - Families Backup Abort CAEDS Graphics CAEDS V4R2M0: Solid - Modeling A screen dump of the user interface for the process planner along with a test part created in FBDS.
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: Depending on the type of feature to
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 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
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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
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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
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FIGURE 3.18 Minimum separation test
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direction) the face, respectively.
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FIGURE 3.21 Software structure for
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3.8 Conclusion A reconfigurable fix
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Heui Jae Pahk Seoul National Univer
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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
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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
Page 329 and 330:
Quantity analysis methods have the
Page 331 and 332:
y a revolute joint. By selecting al
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