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Feature Extraction and Manufacturability Assessment of Sheet Metal Parts

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AI Applications in Sheet Metal Forming

Part of the book series: Topics in Mining, Metallurgy and Materials Engineering ((TMMME))

Abstract

To automate the process of die design, firstly all design features of sheet metal parts are to be extracted automatically from drawing files by a computer-aided system. After feature extraction, next important activity is manufacturability assessment of sheet metal parts. Traditional process of manufacturability assessment of sheet metal parts involves calculations and decisions, which have to be made on the basis of experience and practice codes without the computer aids. In the present chapter, an automatic feature recognition system is described. The system initially extracts the basic entities from the 3-D CAD model and recognizes various design features of flat parts, bending parts, and deep drawn parts. The system is coded in AutoLISP language. The system displays the details of all design features of part in the prompt area of AutoCAD software. The system has been installed on Autodesk AutoCAD software. The present chapter also describes a knowledge-based system (KBS) for manufacturability assessment of sheet metal parts. Knowledge obtained from published literature, die designers, and process planners has been analyzed, tabulated, and incorporated into a set of production rules of the IF–THEN variety. The system is coded in the AutoLISP language and user interface is developed using visual basic (VB). The system output includes recommendations on the suitability of design features of the part for required manufacturing operations. The knowledge base of this system can be modified depending upon the capabilities of a specific shop floor. The low cost of the system makes it affordable for process planners working in small-and medium-size sheet metal industries.

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Author information

Authors and Affiliations

  1. Mechanical Engineering Department, S.V. National Institute of Technology, Surat, India

    Shailendra Kumar

  2. Mechanical Engineering Department, D.C.R. University of Sc. & Tech, Murthal, Haryana, India

    Rajender Singh

  3. National Institute of Fashion Technology, New Delhi, India

    Deepak Panghal

  4. Mechanical Engineering Department, JSPM, Narhe Technical Campus, Pune, India

    Sachin Salunkhe

  5. Mechanical Engineering Department, Helwan University, Cairo, Egypt

    Hussein M. A. Hussein

Authors
  1. Shailendra Kumar
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  2. Rajender Singh
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  3. Deepak Panghal
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  4. Sachin Salunkhe
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  5. Hussein M. A. Hussein
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Corresponding author

Correspondence to Shailendra Kumar .

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Editors and Affiliations

  1. Mechanical Engineering Department, S.V. National Institute of Technology, Surat, Gujarat, India

    Shailendra Kumar

  2. Mechanical Engineering Department, Helwan University, Cairo, Egypt

    Hussein M. A. Hussein

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Kumar, S., Singh, R., Panghal, D., Salunkhe, S., Hussein, H.M.A. (2017). Feature Extraction and Manufacturability Assessment of Sheet Metal Parts. In: Kumar, S., Hussein, H. (eds) AI Applications in Sheet Metal Forming. Topics in Mining, Metallurgy and Materials Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-10-2251-7_3

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  • DOI: https://doi.org/10.1007/978-981-10-2251-7_3

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2250-0

  • Online ISBN: 978-981-10-2251-7

  • eBook Packages: EngineeringEngineering (R0)

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