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This paper presents a knowledge based system (KBS) that recommends the proper type and size of major die components, using a production rule approach in AI. The system includes eight modules, with rules coded in AutoLISP and a Visual Basic 6 user interface on the AutoCAD platform. Validation uses an industrial sheet metal part, and the PC-based implementation keeps cost low for small industries.",{"@graph":69,"@context":123},[70,84,106],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/a-knowledge-based-system-for-selection-of-components-of-deep-drawing-die-paper/291272/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/a-knowledge-based-system-for-selection-of-components-of-deep-drawing-die-paper/291272.png","ImageObject",300,407,{"name":92,"@type":93},"Pentious","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-05","2026-09-17",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",11,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"What problem does the proposed knowledge based system address?","Question",{"text":113,"@type":114},"It supports selecting the major components of a deep drawing die by providing recommendations for suitable types and sizes, reducing time and expertise required in traditional methods.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"How is the knowledge based system implemented?",{"text":118,"@type":114},"The system uses production rules for AI decision-making, with production rules coded in AutoLISP and a user interface built in Visual Basic 6 on the AutoCAD platform.",{"name":120,"@type":111,"acceptedAnswer":121},"How are the recommendations validated?",{"text":122,"@type":114},"Validation is demonstrated by applying the system to an industrial sheet metal part and showing its recommendations for die components.","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},291272,1789644103,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":105,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":130,"read_time":144,"preview_page_count":4},1374404730887,"https://ap-avatar.wpscdn.com/davatar_6f874abed73319feea01a86fa6f0fab8","A Knowledge Based System for Selection of Components  \nof Deep Drawing Die  \nV. Naranje1, S. Kumar2,*  \n1Department of Production Engineering, Sinhgad College Engineering, Pune, 411041, India 2Department Mechanical Engineering, S.V. National Institute of Technology, Surat, 395007, India  \nAbstract Design of deep drawing die is a skilled and experienced based activity. Selection of die components is a vital step in the design process of a deep drawing die. This paper describes a knowledge based system (KBS) developed for the selection of major components of a deep drawing die. The proposed system uses production rule based approach of artificial intelligence (AI) and consists of eight modules. Production rules are coded in AutoLISP language and user interface is created in Visual Basic 6 on AutoCAD platform. The system output includes recommendations for selection of proper type and size of various die components of deep drawing die like die block, stripper, die gages, punch plate, die set, fasteners, etc. Validation of the proposed system is demonstrated by taking an industrial sheet metal part. As this system can be implemented on a PC having AutoCAD software, therefore its low cost of implementation makes it affordable even for small scale sheet metal industries.  \nKeywords Deep drawings die, Die components, Knowledge based system (KBS), AutoCAD, Sheet metal industries  \n1. Introduction  \nTraditionally, design of deep drawing die is highly complex, experience-based and time-consuming task[1] . Process planning, strip-layout design, selection of die components, and die modeling are some major activities of design process of deep drawing die[2,3] . Selection of suitable type and size of die components plays an important role in the design process of die design[4] . The designer has to take decisions on selection/design of a number of die components such as die block, stripper, plate elements, die gages, punches, punch plate, die set, blank holder, fasteners etc. The traditional methods which are being used in most of the sheet metal industries for selection of die components are time consuming, error-prone and require expertise. Also, the quality of die design depends to a large extent on the die designer’s skill, experience and knowledge. Further the knowledge gained by die design experts after long years of experience is often not available to others even within the same company. It creates a vacuum whenever the expert retires or leaves the company. Shortage of skilled die designers and their mobility have caused much inconvenience to the sheet metal industries all over the world. Commercially available CAD/CAM systems provide some assistance in drafting and analysis in die design process, but  \nhuman expertise is still needed to arrive at the final design * Corresponding author:  \n[skbudhwar@med.svnit.ac.in](skbudhwar@med.svnit.ac.in) (S. Kumar) Published online at [http://journal.sapub.org/ajis](http://journal.sapub.org/ajis)  \nCopyright © 2012 Scientific & Academic Publishing. All Rights Reserved  \n[5] . Also, these systems are general purpose and involve high set-up cost.  \nWith the advancement of artificial intelligence (AI), various techniques such as Case Based Reasoning (CBR), Blackboard Architecture System (BB), Hybrid Systems (HS), Artificial Neural Network (ANN), Graph Theory (GT), and Knowledge Based System (KBS) are being used worldwide to solve complex problems in design and manufacturing domains. Out of these, KBS approach is widely used by various researchers[4,6-17] to ease the complexities of process planning in sheet metal forming and design of dies. For example, Karima and Richardson[6] proposed a framework of expert system in metal forming. An expert system using production rules and frames in design of axisymmetric deep drawing parts was developed by Xiao et al. [7] . Fang et al. [8] developed a rule-based expert system for process planning of complex circular shells produced by deep drawing process. An","cbCaikPqBuVYGFTc","https://ap.wps.com/l/cbCaikPqBuVYGFTc","pdf",432343,"English","# Introduction\n## Background and motivation\n## Prior research on knowledge-based systems\n## Need for a low-cost KBS","[{\"question\":\"What problem does the proposed knowledge based system address?\",\"answer\":\"It supports selecting the major components of a deep drawing die by providing recommendations for suitable types and sizes, reducing time and expertise required in traditional methods.\"},{\"question\":\"How is the knowledge based system implemented?\",\"answer\":\"The system uses production rules for AI decision-making, with production rules coded in AutoLISP and a user interface built in Visual Basic 6 on the AutoCAD platform.\"},{\"question\":\"How are the recommendations validated?\",\"answer\":\"Validation is demonstrated by applying the system to an industrial sheet metal part and showing its recommendations for die components.\"}]","A Knowledge Based System for Selection of Components of Deep Drawing Die - Paper | PDF",28]