A Knowledge Based System for Cost Estimation of Deep Drawn Parts

Abstract Cost estimation of deep drawn sheet metal parts requires substantial knowledge and experience. It is a time consuming task and dependent on the expert personnel available. This paper presents the research work involved in the development of a knowledge based system for cost-estimation of deep drawn sheet metal parts. The proposed system is structured in form of two modules viz., module COMPC for estimation of total manufacturing cost of deep drawn parts and module TOOLC for estimation of total tooling cost of deep drawing tool. The system modules are coded in VB.6.0 in windows operating environment. The system has been tested for various types of axisymmetric deep drawn sheet metals parts taken from industries. System is flexible enough as its knowledge base can be extended or modified easily.

[1]  D. Ben-Arieh,et al.  Cost estimation system for machined parts , 2000 .

[2]  H. S. Wang,et al.  Cost estimation of plastic injection molding parts through integration of PSO and BP neural network , 2013, Expert Syst. Appl..

[3]  Dirk Cattrysse,et al.  Cost estimation for sheet metal parts using multiple regression and artificial neural networks: A case study , 2008 .

[4]  Shailendra Kumar,et al.  A Knowledge Based System for Selection of Components of Deep Drawing Die , 2012 .

[5]  Jong-Yun Jung,et al.  Manufacturing cost estimation for machined parts based on manufacturing features , 2002, J. Intell. Manuf..

[6]  H S Abdalla,et al.  An Expert System for Concurrent Product and Process Design of Mechanical Parts , 1994 .

[7]  Z. Bouaziz,et al.  Cost estimation system of dies manufacturing based on the complex machining features , 2006 .

[8]  Pius J. Egbelu,et al.  A framework for estimating manufacturing cost from geometric design data , 2000, Int. J. Comput. Integr. Manuf..

[9]  S. Deng,et al.  Using least squares support vector machines for the airframe structures manufacturing cost estimation , 2011 .

[10]  Kwang-Kyu Seo,et al.  A learning algorithm based estimation method for maintenance cost of product concepts , 2006, Comput. Ind. Eng..

[11]  Bopaya Bidanda,et al.  Development of an intelligent castability and cost estimation system , 1998 .

[12]  Shailendra Kumar,et al.  A Knowledge Based System for Process Planning of Axisymmetric Deep Drawn Parts , 2013 .

[13]  Shailendra Kumar,et al.  A knowledge-based system for strip-layout design for progressive deep drawing dies , 2013, Int. J. Comput. Appl. Technol..

[14]  Essam Shehab,et al.  An Intelligent Knowledge-Based System for Product Cost Modelling , 2002 .

[15]  Z. H. Che,et al.  PSO-based back-propagation artificial neural network for product and mold cost estimation of plastic injection molding , 2010, Comput. Ind. Eng..

[16]  Trevor A Spedding,et al.  An integrated system for process planning and cost estimation in hole making , 1995 .

[17]  Orlando Durán,et al.  Comparisons between two types of neural networks for manufacturing cost estimation of piping elements , 2012, Expert Syst. Appl..