40. Jasthi, S. R. K., 1993, Some Studies on Form Features in the Development of a CAPP system, Unpublished Ph.D. Thesis, Department of Mechanical <strong>Engineering</strong>, Indian Institute of Technology, New Delhi, India. 41. Jasthi, S. R. K., Prasad, A. V. S. R. K., Manidhar, G., Rao, P. N., Rao. U. R. K., and Tewari, N. K., 1994, A feature based part description system for Computer Aided Process Planning, Journal of <strong>Design</strong> and <strong>Manufactur</strong>ing, Vol. 4, 67–80. 42. Jasthi, S. R. K., Rao, P. N., and Tewari, N. K., 1995, Studies on Process Plan Representation in CAPP system, Journal of Computer Integrated <strong>Manufactur</strong>ing Systems, Vol. 8, No 3, 173–184. 43. Joshi, S., Chang, T. C., and Liu, C. R., 1986, Process planning formalization in an AI framework, Artificial Intelligence, 1(1), 45–53. 44. Joshi, S., 1990, Feature recognition and geometric reasoning for some process planning activities, in: Geometric Modeling for Product <strong>Engineering</strong>, (Ed.) Wozny, M. J., Turner, J. M., and Preiss, K., Elsevier Science Publishers B. V., North-Holland, 363–384. 45. Kals, H. J. J. and Hijink, J. A. W., 1978, A computer aid in the optimization of turning conditions in multi-cut operations. Annals of the CIRP, 27(1), 465–469. 46. Kalta, M. and Davies, B. J., 1992c, Guidelines to build 2D CAD models of turned components in CAD-CAPP integration, Internal Report, Mechanical Dept., UMIST, UK. 47. Kang, T. S. and Nnaji, B. O., 1993, Feature representation and classification for automatic process planning systems, Journal of <strong>Manufactur</strong>ing Systems, 12(2), 133–145. 48. Kimura, F., Suzuki, H., and Wingard, L., 1986, A uniform approach to dimensioning and tolerancing in product modeling, Proc. 2nd Int. Conf. on Comp. Appl. in Production & Eng., Copenhagen, 165. 49. Klein, A., 1988, A Solid Groove: feature based programming of parts, Mechanical <strong>Engineering</strong>, 110, 37–39. 50. Kochenberger, G. A., Woolsey, R. E. D., and McCarl, B. A., 1973, On the solution of geometric programs via separable programming. Operational Research Quarterly, 24(2), 285–294. 51. Kovan, V., 1959, Fundamentals of Process <strong>Engineering</strong>, Moscow, Foreign language publishing house. 52. Kramer, T. R., 1992b, A library of material removal shape element volumes (MRSEVs), National Institute of Standards and Technology report (NISTIR 4809). 53. Kramer, T. R., 1992a, Issues concerning material removal shape element volumes (MRSEVs), National Institute of Standards and Technology Report (NISTIR 4804). 54. Kusiak, A., 1989, Process planning: a knowledge based and optimization perspective, Proc. IFAC on Decisional Structures in Automated <strong>Manufactur</strong>ing, Genova, Italy, 133–138. 55. Kusiak, A., 1990, Optimal selection of machinable volumes, IIE Transactions, 22(2), 151–159. 56. Manidhar, G., 1995, Some Studies in the <strong>Design</strong> and Development of a CAPP System for Rotational Parts with C-axis Features, Unpublished Ph.D. Thesis, Dept. of Mech. Eng., IIT, New Delhi. 57. Matropoulos, P. G. and Hinduja, S., 1991, Automatic tool selection for rough turning, International Journal of Production Research, 29(1), 1185–1120. 58. Nau, D. S., Gupta, S. K., Kramer, T. R., Regli, W. C., and Zhang, G., 1993, Development of machining alternatives based on MRSEVs, Proc. of ASME Computers in <strong>Engineering</strong> Conference. 59. Okushima, K. and Hitomi, K., 1964, Study of economical machining—analysis of maximum profit cutting speed. International Journal of Production Research, 3(1), 73–78. 60. Opitz, H., 1970, A Classification System to Describe Workpieces, Pergamon Press, Elmsford, New York. 61. Prasad, A. V. S. R. K., 1994, Optimal Selection of Cutting-process Parameters in a Computer Aided Process Planning System, Unpublished Ph.D. Thesis, Dept. of Mech. Engg., IIT, New Delhi. 62. Prasad, A. V. S. R. K., Jasthi, S. R. K., Manidhar, G., Rao, P. N., Rao, U. R. K., and Tewari, N. K., 1993, A survey of approaches to the optimization of process parameters in turning operations. Proceedings of 2nd International Conference on Computer Integrated <strong>Manufactur</strong>ing, Singapore, 916–920.
63. Prasad, A. V. S. R. K., Rao, P. N., and Rao, U. R. K., 1994a, Computer Aided selection of Optimal Parameters for Boring process, Proc. 10th National Convention of Mechanical Engineers, Organized by Institution of Engineers, India at Hyderabad, 207–214. 64. Prasad, A. V. S. R. K., Rao, P. N., and Rao, U. R. K., 1994b, Optimization of process parameters for facing operations, Proc. of ISME Conference, Roorkee, India. 65. Ranyak, P. S. and Fridshal, R., 1988, Features for tolerancing a solid model, Proc. ASME Computers in <strong>Engineering</strong> Conference, 1, 263. 66. Requicha, A. A. G. and Chan, S. C., 1986, Representation of geometric features, tolerances and attributes in solid modellers based on constructive geometry, IEEE Journal of Robotics and Automation, RA-2(3), 156. 67. Requicha, A. A. G., 1983, Toward a theory of geometric tolerancing, Int. J. of Robotics Research, 2(4), 45–60. 68. Shah, J. J. and Rogers, M. T., 1988b, Functional requirements and conceptual design of the feature based modeling system, Computer Aided <strong>Engineering</strong> Journal, 5, 9–15. 69. Shah, J. J., 1991, Assessment of features technology, Computer Aided <strong>Design</strong>, 23(5), 331–343. 70. Sim, S. K. and Leong, K. F., 1989, Prototyping a feature based modeling system for automated process planning, Journal of Mechanical Working Technology, 20, 195–205. 71. Suzuki, H., Inui, M., Kimura, F., and Sata, T., 1988, A product modeling system for constructing intelligent CAD and CAM systems, Robotics & CIM, 4(3/4), 483–489. 72. Vogel, S. A. and Adard, E.J., 1981, The AUTOPLAN process planning system, Proc. of 18th NC Society, Annual Meeting and Technical Conference, Dallas, TX, 422–429. 73. Weill, R., 1988, Integrating dimensioning and tolerancing in computer aided process planning, Robotics & CIM, 4(1/2), 41–48. 74. Widia, 1986, Recommended Data for Turning Ferrous Materials (Publication No. W 5.3-10.3 e 486). 75. Widia, 1989, Widax Tools for External and Internal Machining. Widia (India) Limited, WMC- 042-89. 76. Wilson, P. R. and Pratt, M. J., 1988, A taxonomy of features for solid modeling, in Geometric Modeling for CAD Applications, (Ed.) Wozny, M. J., McLaughlin, H. W., and Encarnacao, J. L., Elsevier Science Pub. B.V. (North-Holland), 125–136. 77. Wright, T. L., and Hannam, R. G., 1989, A feature based design for manufacture: CAD/CAM package, Computer Aided <strong>Engineering</strong> Journal, 6, 215–220. 78. Yang, D. Y. and Seireg, A., 1992, Machining parameter optimization for specified surface conditions. Journal of <strong>Engineering</strong> for Industry, Transactions of ASME, 114(2), 254–257. 79. Yeo, S. H., Rahman, M., and Wong, Y. S., 1990, A frame-based approach for the making of holes in turned parts and its further development, Journal of Materials Processing Technology, 232, 149–162. 80. Zhang, S., and Gao, W. D., 1984, TOJICAP: A system of computer aided process planning system for rotational parts, Annals of the CIRP, 33(1), 299–301.
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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
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2. machining facility (e.g., gang m
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from the FBDS. The user also specif
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Depending on the type of feature to
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TABLE 1.6 Tolerance synthesis is de
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FIGURE 1.12 Display of the NC tool
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component geometric entities and va
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FIGURE 1.14 The system architecture
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TABLE 1.10 User Input for the Toler
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TABLE 1.11 Tolerance Specifications
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7. Z. Young and I. R. Groose. A rul
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FIGURE 2.1 Tool paths generated for
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FIGURE 2.2 sented by instances of f
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TABLE 2.1 A CAD-Generated Hole Conf
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FIGURE 2.6 mounted on the rotary ta
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FIGURE 2.8 fixture for the machinin
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FIGURE 2.10 or best-fit, or the cur
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FIGURE 2.11 Linear approximation of
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FIGURE 2.13 Circular approximation
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FIGURE 2.14(b) Circular approximati
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FIGURE 2.16 Types of biarcs. FIGURE
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FIGURE 2.18 Approximation of scanne
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FIGURE 2.20 A touch trigger probe c
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TABLE 2.4 Substitute Elements in CM
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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
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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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- Page 243 and 244: References Cheok, B.T. et al. (1994
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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