Design of cloud-based CAPP system to aid process planning for sheet metal products

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

In the design of new products, it is usual for different planners to specify different processing routes for the same part, which do not always incorporate the optimal solution to the problem. Computerization of process planning has evolved as a solution to speed up planning for new products. The essence of the chapter is to explore machine capabilities, parameters, and constrains inherent in sheet metal forming processes and then illustrate CAPP software design for process sequencing for new products to support standardisation of production routes. The verification of the designed CAPP system has realised significant savings of 40% reduction in process planning effort, 5% in material, 15% in scrap and 10% in tooling. In order to design the cloud-based CAPP system, data was gathered on the machinery capabilities for the sheet metal operations in a case study company that manufactures sheet metal accessories for the construction industry. A computer-based system was developed to store the machinery tool capabilities and their functional parameters and to facilitate sharing of information across the system modules. Autodesk Inventor® was used as the source of input for the CAD models into the system. Visual Basic. NET programming language was used to design a module for feature recognition (FR) to capture characteristics from a CAD model drawing of the new sheet metal product. A module was then developed to sequence the process operations for the CAD model based on the part features. The process sequencing system helps designers and process planners to link the new model design with the production path, the tools, and equipment required in order to improve their design and planning in the early stages of the product life cycle.

Original languageEnglish
Title of host publicationAdvances in E-Business Research Series
PublisherIGI Global
Pages242-269
Number of pages28
EditionJanuary
DOIs
Publication statusPublished - 2018

Publication series

NameAdvances in E-Business Research Series
NumberJanuary
ISSN (Print)1935-2700
ISSN (Electronic)1935-2719

All Science Journal Classification (ASJC) codes

  • Business and International Management
  • Management Information Systems
  • Management of Technology and Innovation
  • Computer Science Applications

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  • Cite this

    Gwangwava, N. (2018). Design of cloud-based CAPP system to aid process planning for sheet metal products. In Advances in E-Business Research Series (January ed., pp. 242-269). (Advances in E-Business Research Series; No. January). IGI Global. https://doi.org/10.4018/978-1-5225-3628-4.ch010