About: Abstract Thin web parts are widely used in the aerospace industry; however, serious machining errors may happen due to their low rigidity. In this study, a highly automatic method that integrates machining status monitoring, on-machine measurement (OMM) inspection, machining error modeling and real time compensation is proposed and developed. The OMM inspection is firstly applied to measure the comprehensive machining errors, the Hampel filtering, the triangulation-based cubic interpolation and a machine learning algorithm are then used to train the machining error model. Finally, the real time compensation of high-density cutting points is realized by developing the compensation system based on External Machine Zero Point Shift (EMZPS) function of machine tool. The proposed method was validated through three sets of compensation experiment of a thin web part. The results revealed that 58.1%, 68.4% and 62.6% of the machining error ranges were decreased, respectively. This method demonstrates immense potential for further applications in efficiency and accuracy improvement of thin-walled freeform surface parts.   Goto Sponge  NotDistinct  Permalink

An Entity of Type : fabio:Abstract, within Data Space : covidontheweb.inria.fr associated with source document(s)

AttributesValues
type
value
  • Abstract Thin web parts are widely used in the aerospace industry; however, serious machining errors may happen due to their low rigidity. In this study, a highly automatic method that integrates machining status monitoring, on-machine measurement (OMM) inspection, machining error modeling and real time compensation is proposed and developed. The OMM inspection is firstly applied to measure the comprehensive machining errors, the Hampel filtering, the triangulation-based cubic interpolation and a machine learning algorithm are then used to train the machining error model. Finally, the real time compensation of high-density cutting points is realized by developing the compensation system based on External Machine Zero Point Shift (EMZPS) function of machine tool. The proposed method was validated through three sets of compensation experiment of a thin web part. The results revealed that 58.1%, 68.4% and 62.6% of the machining error ranges were decreased, respectively. This method demonstrates immense potential for further applications in efficiency and accuracy improvement of thin-walled freeform surface parts.
subject
  • Computer-aided design
  • Science and technology in the Dutch Republic
  • Woodworking
  • Machining
  • 1694 establishments in the Ottoman Empire
  • Maronite orders and societies
  • Religious organizations established in 1694
part of
is abstract of
is hasSource of
Faceted Search & Find service v1.13.91 as of Mar 24 2020


Alternative Linked Data Documents: Sponger | ODE     Content Formats:       RDF       ODATA       Microdata      About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data]
OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2025 OpenLink Software