| Issue |
MATEC Web Conf.
Volume 178, 2018
22nd International Conference on Innovative Manufacturing Engineering and Energy - IManE&E 2018
|
|
|---|---|---|
| Article Number | 05011 | |
| Number of page(s) | 6 | |
| Section | Design and Analysis, CAD/CAM/CAE/CAx Technologies, Flexible Manufacturing, Automation and Robotics in Technological Processes | |
| DOI | https://doi.org/10.1051/matecconf/201817805011 | |
| Published online | 24 July 2018 | |
Product engineering design enhancing by parameterizing the 3D solid model
“Gheorghe Asachi” Technical University of Iasi, Department of Machine Manufacturing Technology, Prof. D. Mangeron Street, no. 39A, Iasi, Romania
* Corresponding author: cucos.marius91@yahoo.com
The research approach and the case study presented in the paper are oriented towards the convergent use of a parametric modelling algorithm and of an advanced integrated CAD/CAE solution for the optimization of the product engineering design, for reducing the product life cycle environmental impact and for providing sustainability in product development. First of all, a conceptual model for the research framework is proposed, where the use of mathematical models (equations/mathematical relations, etc.) integrated into advanced CAD/CAE design solutions leads to parameterizing of the product structure and obtaining of some product component families (gears, shafts, screws, nuts, bushings, etc.). The presented case study refers to the application of the above outlined solutions for enhancing the design effectiveness and efficiency of 3D product assembly and part models (hereby exemplified for component parts like shafts and gears) for a particular construction of a technological device, using the powerful tools of the integrated product family Creo Parametric (Pro/Engineer) as mechanical design software. Some suitable conclusions are finally presented and some directions of further researches are also included.
© The Authors, published by EDP Sciences, 2018.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.