ProCIRP 2016 Hybrid Cutting of Bio-tissues.pdf (410.68 kB)
Hybrid cutting of bio-tissues
conference contribution
posted on 2017-01-26, 09:51 authored by Dong Wang, Anish RoyAnish Roy, Vadim SilberschmidtVadim Silberschmidt© 2016 The Authors.Modern-day histology of bio-tissues requires high-precision cutting to ensure high quality thin specimens used in analysis. The cutting quality is significantly affected by a variety of soft and hard tissues in the samples. The paper deals with the next step of microtome development employing controlled ultrasonic vibration to realise a hybrid cutting process of bio-tissues. The study is based on a numerical (finite-element) analysis of multi-body dynamics of a cutting system. Conventional and ultrasonically assisted cutting processes of bio-tissues were simulated using material models representing cancellous bone and incorporating an estimation of friction conditions between a cutting blade and the material to be cut. The models allow adjustments of a section thickness, cutting speed and amplitude of ultrasonic vibration. The efficiency and quality of cutting was dependent on cutting forces, which were compared for both conventional and ultrasonically assisted cutting processes.
Funding
This research was funded by Innovate UK, project ULTRATOME.
History
School
- Mechanical, Electrical and Manufacturing Engineering
Published in
Procedia CIRPVolume
46Pages
567 - 570Citation
WANG, D., ROY, A. and SILBERSCHMIDT, V.V., 2016. Hybrid Cutting of Bio-tissues. Procedia CIRP, 46, pp. 567-570.Publisher
© The Authors. Published by Elsevier LtdVersion
- VoR (Version of Record)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Publication date
2016Notes
This paper was presented at the 7th HPC 2016 – CIRP Conference on High Performance Cutting. This is an Open Access Article. It is published by Elsevier under the Creative Commons Attribution -NonCommercial-NoDerivatives 4.0 Unported Licence (CC BY-NC-ND). Full details of this licence are available at: http://creativecommons.org/licenses/by-nc-nd/4.0/ISSN
2212-8271Publisher version
Language
- en