Research output per year
Research output per year
J.E. Muelaner, P.G. Maropoulos
Research output: Contribution to journal › Article › peer-review
In the Light Controlled Factory part-to-part assembly and reduced weight will be enabled through the use of predictive fitting processes; low cost high accuracy reconfigurable tooling will be made possible by active compensation; improved control will allow accurate robotic machining; and quality will be improved through the use of traceable uncertainty based quality control throughout the production system. A number of challenges must be overcome before this vision will be realized; 1) controlling industrial robots for accurate machining; 2) compensation of measurements for thermal expansion; 3) Compensation of measurements for refractive index changes; 4) development of Embedded Metrology Tooling for in-tooling measurement and active tooling compensation; and 5) development of Software for the Planning and Control of Integrated Metrology Networks based on Quality Control with Uncertainty Evaluation and control systems for predictive processes. This paper describes how these challenges are being addressed, in particular the central challenge of developing large volume measurement process models within an integrated dimensional variation management (IDVM) system.
Original language | English |
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Pages (from-to) | 169-176 |
Number of pages | 8 |
Journal | Procedia CIRP |
Volume | 25 |
Early online date | 10 Dec 2014 |
DOIs | |
Publication status | Published - 2014 |
Event | 8th international conference on Digital Enterprise Technology - Stuttgart, Germany Duration: 25 Mar 2014 → 28 Mar 2014 |
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review