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International Journal of Production Research Volume 40, 2002 - Issue 17
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Original Articles

An intelligent feature-based process planning system for prismatic parts

Lalit Patil
&
S. S. Pande
Pages 4431-4447 | Published online: 14 Nov 2010

Citations (26)

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Read on this site (7)

S.P. Leo Kumar. (2018) Automation of tool path generation in multi-process micromachine tool for micromachining of prismatic and rotational parts. International Journal of Computer Integrated Manufacturing 31:1, pages 49-70.
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S.P. Leo Kumar, J. Jerald & S. Kumanan. (2015) Feature-based modelling and process parameters selection in a CAPP system for prismatic micro parts. International Journal of Computer Integrated Manufacturing 28:10, pages 1046-1062.
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Xun Xu, Lihui Wang & StephenT. Newman. (2011) Computer-aided process planning – A critical review of recent developments and future trends. International Journal of Computer Integrated Manufacturing 24:1, pages 1-31.
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D. Kingsly Jeba Singh & C. Jebaraj. (2008) Feature-based design for process planning of the forging process. International Journal of Production Research 46:3, pages 675-701.
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A. Nassehi, R. Liu & S.T. Newman. (2007) A new software platform to support feature-based process planning for interoperable STEP-NC manufacture. International Journal of Computer Integrated Manufacturing 20:7, pages 669-683.
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D. Kingsly Jeba Singh & C. Jebaraj. (2005) Feature-based design for process planning of machining processes with optimization using genetic algorithms. International Journal of Production Research 43:18, pages 3855-3887.
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Yong Se Kim, Eric Wang, Il-Kyu Hwang & Hyung Min Rho. (2003) Integrated machining tool path planning using feature free spaces. International Journal of Production Research 41:14, pages 3237-3255.
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Articles from other publishers (19)

Aman Kukreja, R. Manu & K. Deepak Lawrence. (2021) Towards the development of a smart manufacturing system for the automated remodeling and manufacturing of standard parts. International Journal on Interactive Design and Manufacturing (IJIDeM) 15:2-3, pages 353-363.
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Hacene Ameddah. 2021. Artificial Neural Network Applications in Business and Engineering. Artificial Neural Network Applications in Business and Engineering 144 170 .
Xiuling Li, Shusheng Zhang, Rui Huang, Bo Huang, Changhong Xu & Yajun Zhang. (2018) A survey of knowledge representation methods and applications in machining process planning. The International Journal of Advanced Manufacturing Technology 98:9-12, pages 3041-3059.
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S.P. Leo Kumar. (2017) State of The Art-Intense Review on Artificial Intelligence Systems Application in Process Planning and Manufacturing. Engineering Applications of Artificial Intelligence 65, pages 294-329.
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Jinping Chen, Shusheng Zhang, Mingwei Wang & Changhong Xu. (2017) A novel change feature-based approach to predict the impact of current proposed engineering change. Advanced Engineering Informatics 33, pages 132-143.
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Mujin Kang, Gyungha Kim, Taemoon Lee, Chang Ho Jung, Kwangho Eum, Myon Woong Park & Jae Kwan Kim. (2016) Selection and sequencing of machining processes for prismatic parts using process ontology model. International Journal of Precision Engineering and Manufacturing 17:3, pages 387-394.
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Jorge Andrés García Barbosa, José Manuel Arroyo Osorio & Ernesto Córdoba Nieto. (2014) Simulation and verification of parametric numerical control programs using a virtual machine tool. Production Engineering 8:3, pages 407-413.
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S.P. Leo Kumar, J. Jerald & S. Kumanan. (2014) Automatic Feature Extraction and CNC Code Generation in a CAPP System for Micromachining. Procedia Materials Science 5, pages 1986-1997.
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Kwangho Eum, Mujin Kang, Gyungha Kim, Myon Woong Park & Jae Kwan Kim. (2013) Ontology-based modeling of process selection knowledge for machining feature. International Journal of Precision Engineering and Manufacturing 14:10, pages 1719-1726.
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T. Srikanth Reddy & M. S. Shunmugam. 2013. Dynamic Methods and Process Advancements in Mechanical, Manufacturing, and Materials Engineering. Dynamic Methods and Process Advancements in Mechanical, Manufacturing, and Materials Engineering 102 129 .
T. Srikanth Reddy & M. S. Shunmugam. (2011) Feature Recognition and Datum Extraction for Setup Planning and Operation Sequencing for Prismatic Parts. International Journal of Manufacturing, Materials, and Mechanical Engineering 1:2, pages 19-45.
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Wang Rui, Georg Lothar Thimm & Ma Yongsheng. (2010) Review: geometric and dimensional tolerance modeling for sheet metal forming and integration with CAPP. The International Journal of Advanced Manufacturing Technology 51:9-12, pages 871-889.
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Kriangkrai Waiyagan & E.L.J. Bohez. (2009) Intelligent feature based process planning for five-axis mill-turn parts. Computers in Industry 60:5, pages 296-316.
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Zhenkai Liu & Lihui Wang. (2007) Sequencing of interacting prismatic machining features for process planning. Computers in Industry 58:4, pages 295-303.
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Saleh M. Amaitik & S. Engin Kiliç. (2006) An intelligent process planning system for prismatic parts using STEP features. The International Journal of Advanced Manufacturing Technology 31:9-10, pages 978-993.
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F.S.Y. Wong, K.B. Chuah & P.K. Venuvinod. (2006) Automated inspection process planning: Algorithmic inspection feature recognition, and inspection case representation for CBR. Robotics and Computer-Integrated Manufacturing 22:1, pages 56-68.
Crossref
Riliang Liu, Aydin Nassehi, Richard Allen & Stephen T. Newman. (2006) FEATURE-BASED PROCESS PLANNING FOR INTEROPERABLE STEP-NC MANUFACTURE. IFAC Proceedings Volumes 39:3, pages 825-830.
Crossref
Shuichi Sato, Christoph Roser, Fumiko Kubota & Masaru Nakano. (2006) METHODOLOGY OF OUTSOURCING DESIGN AND ENGINEERING PROCESS. IFAC Proceedings Volumes 39:3, pages 783-788.
Crossref
Jitender Rai & S. S. Pande. 2004. Perspectives from Europe and Asia on Engineering Design and Manufacture. Perspectives from Europe and Asia on Engineering Design and Manufacture 307 316 .

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