skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

A survey on smart automated computer-aided process planning (ACAPP) techniques

International journal of advanced manufacturing technology, 2018-07, Vol.97 (1-4), p.809-832 [Peer Reviewed Journal]

The Author(s) 2018 ;Copyright Springer Science & Business Media 2018 ;The International Journal of Advanced Manufacturing Technology is a copyright of Springer, (2018). All Rights Reserved. © 2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0268-3768 ;EISSN: 1433-3015 ;DOI: 10.1007/s00170-018-1966-1

Full text available

Citations Cited by
  • Title:
    A survey on smart automated computer-aided process planning (ACAPP) techniques
  • Author: Al-wswasi, Mazin ; Ivanov, Atanas ; Makatsoris, Harris
  • Subjects: Aircraft industry ; Automation ; CAD ; CAD/CAM ; CAE) and Design ; CAM ; Computer aided design ; Computer aided manufacturing ; Computer aided operations ; Computer-Aided Engineering (CAD ; Engineering ; Feature recognition ; Industrial and Production Engineering ; Industrial plants ; Manufacturing ; Mechanical Engineering ; Media Management ; Original Article ; Process planning ; Production costs
  • Is Part Of: International journal of advanced manufacturing technology, 2018-07, Vol.97 (1-4), p.809-832
  • Description: The concept of smart manufacturing has become an important issue in the manufacturing industry since the start of the twenty-first century in terms of time and production cost. In addition to high production quality, a quick response could determine the success or failure of many companies and factories. One the most effective concepts for achieving a smart manufacturing industry is the use of computer-aided process planning (CAPP) techniques. Computer-aided process planning refers to key technology that connects the computer-aided design (CAD) and the computer-aided manufacturing (CAM) processes. Researchers have used many approaches as an interface between CAD and CAPP systems. In this field of research, a lot of effort has been spent to take CAPP systems to the next level in the form of automatic computer-aided process planning (ACAPP). This is to provide complete information about the product, in a way that is automated, fast, and accurate. Moreover, automatic feature recognition (AFR) techniques are considered one of the most important tasks to create an ACAPP system. This article presents a comprehensive survey about two main aspects: the degree of automation in each required input and expected output of computer-aided process planning systems as well as the benefits and the limitations of the different automatic feature recognition techniques. The aim is to demonstrate the missing aspects in smart ACAPP generation, the limitations of current systems in recognising new features, and justifying the process of selection.
  • Publisher: London: Springer London
  • Language: English
  • Identifier: ISSN: 0268-3768
    EISSN: 1433-3015
    DOI: 10.1007/s00170-018-1966-1
  • Source: SpringerOpen
    ProQuest Central

Searching Remote Databases, Please Wait