Application of semi automatic model of product complexity indek calculation by identification and recognition of geometric features information

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

To produce a high level of competitiveness products in a free market, the manufacturing industrie currently challenged to produce products with low cost, short time and high quality. Opportunity to solve the problem can be achieved if the process of automation design process can be done quickly in the early stages of the design process, especially by utilizing the calculation of the product complexity, process and assembly by identification and recognition of geometric features information. This research purpose is identifying the standard features that have been classified by the machining process in previous studies, for further recognition geometric feature information which will then be used to calculate the index of the complexity of product design. The results can then be used as a model of development in determining the relative complexity of a product according to the method has been developed in calculating the complexity of the product. The development process begins with a depiction of the product features using software tools such as catia, solidwork, mastercam, or other software for solid models, in form of stp or step file, then the extraction process using notepad so acquired entity of Advance Face dan Edge Curve. It will be processed into products relative coefficients. Identification and recognition results obtained from the features that Advance Face and Edge Curves for each feature will increase as the number of features increase. The result shows the highest complexity values for rotational feature is the shape Neck (value is 6.30), the highest value of complexity for feature prismatic shape slot is 6.05, the highest value of complexity for feature pocket forms the slab is 5.66 and the value of complexity highest revolving features by 4.94. An example of the calculation of product complexity for bicycle bracket delivered in addition to the calculation of the complexity of the whole model shape features. Calculations performed can be used as a reference for the calculation complexity of the product, so it will speed up the design process. It can be concluded that the higher value of the index complexity of product features, and then get more difficult shape design features.

Original languageEnglish
Title of host publicationAdvances in Applied Mechanics and Materials
Pages576-582
Number of pages7
DOIs
Publication statusPublished - 28 Jan 2014
EventInternational Conference on Mechanical Engineering, ICOME 2013 - Mataram, Lombok, Indonesia
Duration: 19 Sep 201321 Sep 2013

Publication series

NameApplied Mechanics and Materials
Volume493
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

ConferenceInternational Conference on Mechanical Engineering, ICOME 2013
CountryIndonesia
CityMataram, Lombok
Period19/09/1321/09/13

Keywords

  • Features
  • Geometry information complexity index
  • Identification
  • Recognition

Fingerprint Dive into the research topics of 'Application of semi automatic model of product complexity indek calculation by identification and recognition of geometric features information'. Together they form a unique fingerprint.

Cite this