Journal article
Investigation of dry machining with embedded heat pipe cooling by finite element analysis and experiments
International journal of advanced manufacturing technology, v 31(9-10), pp 905-914
01 Jan 2007
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This paper investigates the performance of a cutting tool embedded with a heat pipe on reducing cutting temperature and wear in machining. The temperature of a tool plays an important role in thermal distortion and the machined part’s dimensional accuracy, as well as the tool life in machining. A new embedded heat pipe technology has been developed to effectively remove the heat generated at the tool–chip interface in machining, thereby, reducing tool wear and prolonging tool life. In particular, the technique can effectively minimize pollution and contamination of the environment caused by cutting fluids, and the health problems of skin exposure and particulate inhalation in manufacturing. The ANSYS finite element analysis simulations show that the temperature near the cutting edge drops significantly with an embedded heat pipe during machining. Temperature measurements at several locations on the cutting tool insert agree with the simulation results both with and without the heat pipe. Experiments were carried out to characterize the temperature distributions when performing turning experiments using a cutting tool installed with an embedded heat pipe. The performance of the heat pipe on reducing the cutting tool temperature was further supported by the observations of cutting tool material color, chip color, and the chip radius of curvature.
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Details
- Title
- Investigation of dry machining with embedded heat pipe cooling by finite element analysis and experiments
- Creators
- Richard Chiou - Drexel UniversityLin Lu - Drexel UniversityJim ChenMark North - Thermacore
- Publication Details
- International journal of advanced manufacturing technology, v 31(9-10), pp 905-914
- Publisher
- Springer Nature B.V
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Engineering Technology
- Web of Science ID
- WOS:000244335300008
- Scopus ID
- 2-s2.0-33846230132
- Other Identifier
- 991019167730404721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Automation & Control Systems
- Engineering, Manufacturing