Variation propagation modeling in multistage machining processes considering form errors and N-2-1 fixture layouts

被引:4
作者
Yacob, Filmon [1 ]
Semere, Daniel [1 ]
Anwer, Nabil [2 ]
机构
[1] KTH Royal Inst Technol, Dept Prod Engn, Brinellvagen 68, S-11428 Stockholm, Sweden
[2] Univ Paris Saclay, ENS Paris Saclay, LURPA, F-91190 Gif Sur Yvette, France
关键词
Skin Model Shapes; Dual quaternions; Ray tracing; Convex hull; DIMENSIONAL VARIATION PROPAGATION; SKIN MODEL; TOLERANCE ANALYSIS; SIMULATION; TRANSFORMATION; GENERATION; DEFECTS; DESIGN; STREAM;
D O I
10.1007/s00170-021-07195-z
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Variation propagation modeling of multistage machining processes enables variation reduction by making an accurate prediction on the quality of a part. Part quality prediction through variation propagation models, such as stream of variation and Jacobian-Torsor models, often focus on a 3-2-1 fixture layout and do not consider form errors. This paper derives a mathematical model based on dual quaternion for part quality prediction given parts with form errors and fixtures with N-2-1 (N>3) layout. The method uses techniques of Skin Model Shapes and dual quaternions for a virtual assembling of a part on a fixture, as well as conducting machining and measurement. To validate the method, a part with form errors produced in a two-stationed machining process with a 12-2-1 fixture layout was considered. The prediction made following the proposed method was within 0.4% of the prediction made using a CAD/CAM simulation when form errors were not considered. These results validate the method when form errors are neglected and partially validated when considered.
引用
收藏
页码:507 / 522
页数:16
相关论文
共 56 条
  • [41] Manufacturing process simulation for tolerance analysis and synthesis
    Villeneuve, F
    Vignat, F
    [J]. Advances in Integrated Design and Manufacturing in Mechanical Engineering, 2005, : 189 - 200
  • [42] Tolerancing for manufacturing: a three-dimensional model
    Villeneuve, F
    Legoff, O
    Landon, Y
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2001, 39 (08) : 1625 - 1648
  • [43] Multi-operational machining processes modeling for sequential root cause identification and measurement reduction
    Wang, H
    Huang, Q
    Katz, R
    [J]. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 2005, 127 (03): : 512 - 521
  • [44] Three-Dimensional Tolerance Analysis Modelling of Variation Propagation in Multi-stage Machining Processes for General Shape Workpieces
    Wang, Kun
    Du, Shichang
    Xi, Lifeng
    [J]. INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING, 2020, 21 (01) : 31 - 44
  • [45] On the Comparisons of Unit Dual Quaternion and Homogeneous Transformation Matrix
    Wang, Xiangke
    Zhu, Huayong
    [J]. ADVANCES IN APPLIED CLIFFORD ALGEBRAS, 2014, 24 (01) : 213 - 229
  • [46] Requirements for Datum Systems in Computer Aided Tolerancing and the Verification Process
    Weissgerber, Marco
    Ebermann, Marko
    Groeger, Sophie
    Leidich, Erhard
    [J]. 14TH CIRP CAT 2016 - CIRP CONFERENCE ON COMPUTER AIDED TOLERANCING, 2016, 43 : 238 - 243
  • [47] Variation propagation modelling in multistage machining processes using dual quaternions
    Yacob, Filmon
    Semere, Daniel
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2020, 111 (9-10) : 2987 - 2998
  • [48] A multilayer shallow learning approach to variation prediction and variation source identification in multistage machining processes
    Yacob, Filmon
    Semere, Daniel
    [J]. JOURNAL OF INTELLIGENT MANUFACTURING, 2021, 32 (04) : 1173 - 1187
  • [49] Octree-Based Generation and Variation Analysis of Skin Model Shapes
    Yacob, Filmon
    Semere, Daniel
    Nordgren, Erik
    [J]. JOURNAL OF MANUFACTURING AND MATERIALS PROCESSING, 2018, 2 (03):
  • [50] Toward an automatic generation of part models with form error
    Yan, X.
    Ballu, A.
    [J]. 14TH CIRP CAT 2016 - CIRP CONFERENCE ON COMPUTER AIDED TOLERANCING, 2016, 43 : 23 - 28