Abstract
Feature recognition of CAD model in computer aided process planning (CAPP) is the main element to be resolved to automate process planning. Few studies of volume decomposition in recognizing features of cylindrical part model show lack of comprehensive recognition of individual features for cylindrical part in concession with uniform thickness of the delta volume. This paper focuses on individual features recognition of symmetrical and non-symmetrical cylindrical parts. Symmetrical part model with axisymmetric features including internal and external features were recognized to differentiate features that are suitable for turning or those suitable for milling operations. External features body volume will be decomposed in terms of finishing and roughing operations. Volumes of generated bodies were calculated and compared with manual overall delta volume (ODVmanual). The developed algorithm was tested for reliability with respect to time. The results show less than 0.01% of error in comparison of algorithm overall delta volume, (ODV) and ODVmanual.
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Xu X, Wang LH, Newman ST (2011) Computer-aided process planning: a critical review of recent developments and future trends. Int J Comput Integr Manuf 24:1–31. https://doi.org/10.1080/0951192x.2010.518632
Su Y, Chu X, Zhang Z, Chen D (2015) Process planning optimization on turning machine tool using a hybrid genetic algorithm with local search approach. Adv Mech Eng. https://doi.org/10.1177/1687814015581241
Yusof Y, Latif K (2014) Survey on computer-aided process planning. Int J Adv Manuf Technol 75:77–89. https://doi.org/10.1007/s00170-014-6073-3
Wang H, Xu X, Tedford J, Des (2007) An adaptable CNC system based on STEP-NC and function blocks. Int J Prod Res 45:3809–3829. https://doi.org/10.1080/00207540600774075
Abu R, Masine T (2007) Attribute based feature recognition for machining features. J Teknol 46:87–103
Ismail N, Abu Bakar N, Juri AH (2004) Recognition of cylindrical-based features using edge boundary technique for integrated manufacturing. Robot Comput Integr Manuf 20:417–422. https://doi.org/10.1016/j.rcim.2004.03.004
Ismail N, Abu Bakar N, Juri AH (2005) Recognition of cylindrical and conical features using edge boundary classification. Int J Mach Tools Manuf 45:649–655. https://doi.org/10.1016/j.ijmachtools.2004.10.008
Kamrani A, Abouel Nasr E, Al-Ahmari A, Abdulhameed O, Mian SH (2014) Feature-based design approach for integrated CAD and computer-aided inspection planning. Int J Adv Manuf Technol 76:2159–2183. https://doi.org/10.1007/s00170-014-6396-0
Oussama J, Abdelilah E, Ahmed R (2014) Manufacturing computer aided process planning for rotational parts. Part 1: automatic feature recognition from STEP AP203. Int J Eng Res Appl 4:14–25
Deb S, Parra-castillo JR (2011) An integrated and intelligent computer-aided process planning methodology for machined rotationally symmetrical parts. Int J Adv Manuf Syst 13:1–26
Dwijayanti K, Aoyama H (2014) Basic study on process planning for Turning-Milling Center based on machining feature recognition. J Adv Mech Des Syst Manuf 8:1–14. https://doi.org/10.1299/jamdsm.2014jamdsm00
Campbell MI (2014) Automatic reasoning for defining lathe operations for mill-turn parts: a tolerance based approach. J Mech Des 136:1–10. https://doi.org/10.1115/1.4028275
Shiqiao L, Shah JJ (2007) Recognition of user-defined turning features for mill/turn. J Comput Inf Sci Eng 7:225–235. https://doi.org/10.1115/1.2767256
Yih J, Ming L, Wang H, Wei Z, Yu Y, Chiu K et al (2016) Recognition of virtual loops on 3D CAD models based on the B—rep model. Eng Comput 32:593–606. https://doi.org/10.1007/s00366-016-0436-3
Bok AY, Abu Mansor MS (2012) Generative regular-freeform surface recognition for generating material removal volume from stock model. Comput Ind Eng 64:162–178. https://doi.org/10.1016/j.cie.2012.08.013
Kataraki PS, Abu Mansor MS (2016) Auto-recognition and generation of material removal volume for regular form surface and its volumetric features using volume decomposition method. Int J Adv Manuf Technol. https://doi.org/10.1007/s00170-016-9394-6
Sheen B, You C (2006) Machining feature recognition and tool-path generation for 3-axis CNC milling. Comput Des 38:553–562. https://doi.org/10.1016/j.cad.2005.05.003
Gupta RK, Gurumoorthy B (2013) Classification, representation, and automatic extraction of deformation features in sheet metal parts. CAD Comput Aided Des. https://doi.org/10.1016/j.cad.2013.06.010
Gupta RK, Gurumoorthy B (2012) Automatic extraction of free-form surface features (FFSFs). CAD Comput Aided Des 44:99–112. https://doi.org/10.1016/j.cad.2011.09.012
Sakurai H (1995) Volume decomposition and feature recognition: part 1-polyhedral objects. Comput Des 27:833–843. https://doi.org/10.1016/0010-4485(95)00007-0
Sakurai H, Dave P (1996) Volume decomposition and feature recognition, part II: curved objects. Comput Des 28:519–537. https://doi.org/10.1016/0010-4485(95)00067-4
Kumar R, Gurumoorthy B (2013) Classification, representation, and automatic extraction of deformation features in sheet metal parts. Comput Des 45:1469–1484. https://doi.org/10.1016/j.cad.2013.06.010
Abouel Nasr ES, Kamrani AK (2006) A new methodology for extracting manufacturing features from CAD system. Comput Ind Eng 51:389–415. https://doi.org/10.1016/j.cie.2006.08.004
Yusof Y, Case K (2010) Design of a STEP compliant system for turning operations. Robot Comput Integr Manuf 26:753–758. https://doi.org/10.1016/j.rcim.2010.05.002
Tseng Y-J, Joshi SB (1998) Recognition of interacting rotational and prismatic machining features from 3-D mill-turn parts. Int J Prod Res 36:3147–3165. https://doi.org/10.1080/002075498192346
Babic B, Nesic N, Miljkovic Z (2008) A review of automated feature recognition with rule-based pattern recognition. Comput Ind 59:321–337. https://doi.org/10.1016/j.compind.2007.09.001
Kramer TR (1992) Pocket milling with tool engagement detection. J Manuf Syst 11:114–123. https://doi.org/10.1016/0278-6125(92)90042-E
Acknowledgements
This research is supported by the Ministry of Higher Education Malaysia and Universiti Sains Malaysia under the Fundamental Research Grant Scheme (FRGS) (Reference no. 6071227), Exploratory Research Grant Scheme (ERGS) (Reference no. 6730015), and Research University Grants (Reference nos. 811186 and 814247). The first author also would like to thank the support of the Universiti Teknologi MARA for staff sponsorship.
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Zubair, A.F., Abu Mansor, M.S. Automatic feature recognition of regular features for symmetrical and non-symmetrical cylinder part using volume decomposition method. Engineering with Computers 34, 843–863 (2018). https://doi.org/10.1007/s00366-018-0576-8
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DOI: https://doi.org/10.1007/s00366-018-0576-8