Conference proceeding
Dry machining characterization simulations and experiments for new cutting tool design with embedded heat pipe
Proceedings of SPIE, v 5605(1), pp 154-165
11 Nov 2004
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The results of dry machining characterization simulations and experiments for new design technology of using a heat pipe installed in a cutting tool to remove the heat produced at the tool-chip interface which causes thermal damage and tool wear are presented in the paper. Analysis of the results by a heat transfer finite element model indicates that the particular heat pipe used was capable of removing heat with a significant reduction in the rise of the tool-chip interface temperature above the temperature in the surrounding environment at steady operating conditions. Measurements of the variation of the tool insert temperature with time are reported. Both
cases, with and without heat-pipe, were considered. In the end the project yields dry machining characterization on influence of embedded heat pipe on mechanical properties of insert and workpiece, tool-chip interface temperature, and tool wear. The results of this study are useful for the cutting tool design and implementation in environmentally conscious manufacturing applications.
Metrics
12 Record Views
1 citations in Scopus
Details
- Title
- Dry machining characterization simulations and experiments for new cutting tool design with embedded heat pipe
- Creators
- Richard Y Chiou - Drexel UniversityLin Lu - Drexel UniversityJim S. J Chen - Temple UniversityMark T North - Thermacore International, Inc. (USA)
- Publication Details
- Proceedings of SPIE, v 5605(1), pp 154-165
- Conference
- Intelligent Systems in Design and Manufacturing V, 5th
- Publisher
- Society of Photo-Optical Instrumentation Engineers (SPIE)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Engineering Technology
- Web of Science ID
- WOS:000226283100016
- Scopus ID
- 2-s2.0-17644407714
- Other Identifier
- 991019167823004721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Engineering, Manufacturing