Extracting the manufacturing information of machining features for computer-aided process planning systems

An integrated manufacturing system needs automated conversion of design information into its manufacturing counterpart. This is partly dealt with in the present study for extracting the manufacturing information for computer-aided process planning systems, including the identification of tool approach direction, attributing the dimensional and geometric tolerances to the machining features, and identification of the reference faces. In spite of extensive study conducted on computer-aided process planning systems, further investigation is still needed to develop automation in attributing tolerances to machining features and identifying the reference faces. The authors have proposed new methods to implement these tasks. A detailed case study has been used to illustrate the application of the developed algorithms.

[1]  Xu Liu,et al.  A dynamic feature–based operation planning method for 2.5-axis numerical control machining of complex structural parts , 2015 .

[2]  JungHyun Han,et al.  An approach for interlinking design and process planning , 2003 .

[3]  Liping Chen,et al.  Hint-based generic shape feature recognition from three-dimensional B-rep models , 2015 .

[4]  Zoran Miljkovic,et al.  A review of automated feature recognition with rule-based pattern recognition , 2008, Comput. Ind..

[5]  Mohammad Javad Nategh,et al.  A Multi-TAD Framework for Recognizing Machining Features Using Hint Based Recognition Algorithm , 2012 .

[6]  K. Rong,et al.  Computer-Aided Fixture Design , 1999 .

[7]  Xun Xu,et al.  Computer-aided process planning – A critical review of recent developments and future trends , 2011, Int. J. Comput. Integr. Manuf..

[8]  Hamid Baseri,et al.  Automated process planning system: A new method for setup planning and a mathematical model for fixture design , 2013 .

[9]  Intae Kim,et al.  Optimal Operation Grouping and Sequencing Technique for Multistage Machining Systems , 1995 .

[10]  M. Abdelguerfi,et al.  Introduction 1.2 Parallel Database Systems 1.2.1 Computation Model 2 1.2 Parallel Database Systems Introduction Select * from Employee, Department Where (employee.dept_no @bullet Department.dept_no) and (employee.position = "manager") (a) Sql Request 1.2.2 Engineering Model , 2022 .

[11]  B. S. Prabhua,et al.  Intelligent system for extraction of product data from CADD models , 2000 .

[12]  Xionghui Zhou,et al.  A feasible approach to the integration of CAD and CAPP , 2007, Comput. Aided Des..

[13]  Jian Gao,et al.  Extraction/conversion of geometric dimensions and tolerances for machining features , 2005 .

[14]  Lihui Wang,et al.  Adaptive setup planning of prismatic parts for machine tools with varying configurations , 2008 .

[15]  Jami J. Shah,et al.  Dimension and tolerance modeling and transformations in feature based design and manufacturing , 1998, J. Intell. Manuf..

[16]  James Gao,et al.  From computer-aided to intelligent machining: Recent advances in computer numerical control machining research , 2015 .

[17]  Hong-Chao Zhang,et al.  A hybrid-graph approach for automated setup planning in CAPP , 1999 .

[18]  George-Christopher Vosniakos Knowledge-based interpretation of CAD-drawing annotation for mechanical-engineering components , 1992, Comput. Aided Des..

[19]  Xiaojun Liu,et al.  An approach to mapping machining feature to manufacturing feature volume based on geometric reasoning for process planning , 2017 .

[20]  Samuel H. Huang,et al.  Automatic setup planning: current state-of-the-art and future perspective , 2007, Int. J. Manuf. Technol. Manag..

[21]  T. C. Chang,et al.  Graph-based heuristics for recognition of machined features from a 3D solid model , 1988 .