Machinability improvement of titanium alloy (Ti–6Al–4V) via LAM and hybrid machining

Dandekar, Chinmaya R.; Shin, Yung C.; Barnes, J.J.

doi:10.1016/j.ijmachtools.2009.10.013

Cited by 302 publications

(146 citation statements)

References 25 publications

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“…A decision-support methodology for embodiment design and process chain selection for hybrid manufacturing platforms 4 …”

Section: Decision-support Methodology For Hybrid Manufacturingmentioning

confidence: 99%

“…Studies have investigating novel combinations of manufacturing processes including additive and subtractive [3], subtractive and transformative [4] and additive and transformative [5]. There is growing industrial and academic interest and the number of commercial hybrid additive and subtractive processes has significantly increased since the late 2000s [6].…”

Section: Hybrid Manufacturing Definitionmentioning

confidence: 99%

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A decision support methodology for embodiment design and process chain selection for hybrid manufacturing platforms

Gleadall

Vladov

Segal

et al. 2016

Int J Adv Manuf Technol

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This paper presents a methodology for the transformation of a product concept into a detailed design and manufacturing process chain for hybrid manufacturing platforms. Hybrid platforms offer new capabilities and opportunities for product design. However, they require high levels of process expertise for effective design and effective process selection. Design for hybrid manufacture is challenging as there is a requirement to understand a number of technologies, which may be highly varied. To address this challenge, a knowledgebased decision-support system developed in this paper enables manufacturing expertise to be integrated into procedures for product design and process chain selection. This formalised numerical methodology is able to consider a wider range of varied manufacturing processes than any previous study. A feature-based design method is developed, which guides the designer towards an optimised product design during the embodiment design phase, and a process-chain selection program is utilised to enable the effective analysis of a product design based on product evaluation criteria. The methodology has been successfully applied to the design of an LED product with internal geometries and electronics.A decision-support methodology for embodiment design and process chain selection for hybrid manufacturing platforms 2 Key words:Design for manufacture, process chain selection, hybrid manufacture, feature-based design, decisionsupport. Acknowledgements:The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007(FP7/ -2013 under grant agreement number 314580.

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“…A decision-support methodology for embodiment design and process chain selection for hybrid manufacturing platforms 4 …”

Section: Decision-support Methodology For Hybrid Manufacturingmentioning

confidence: 99%

Section: Hybrid Manufacturing Definitionmentioning

confidence: 99%

A decision support methodology for embodiment design and process chain selection for hybrid manufacturing platforms

Gleadall

Vladov

Segal

et al. 2016

Int J Adv Manuf Technol

View full text Add to dashboard Cite

show abstract

“…First, it is a dry machining process, 3 where no coolants or an abrasive paste is needed (though, a system with flood cooling can be used, if required). Next, the vibrating cutting tool interacts with the work-piece directly and cuts the material using a micro-chipping process.…”

Section: Ultrasonically Assisted Machiningmentioning

confidence: 99%

“…This is a reason for a spate of research in hybrid approaches to machining, whereby two or more complementary cutting techniques or mechanisms are used simultaneously to achieve greater productivity or enhance product quality. Examples of such approaches are a combination of laser-assisted machining (LAM) and cryogenic cooling of the tool [3]; electrical discharge machining (EDM) in milling of Ti alloys [4] and combination of EDM with ultrasonic machining [5], to name a few. One promising hybrid machining technique, which is the subject of this chapter, is ultrasonically assisted machining (UAM) and its variants.…”

Section: Introductionmentioning

confidence: 99%

Ultrasonically Assisted Machining of Titanium Alloys

Roy

2014

Materials Forming, Machining and Tribology

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“…The machining of titanium alloys has been a great challenge in the manufacturing community due to the large material flow stress and low heat conductivity, especially for the Ti-6Al-4V (Pan, Shih et al , Hong, Ding et al 2001, Arrazola, Garay et al 2009, Dandekar, Shin et al 2010. The excessive tool wear significantly increases the machining cost and reduces the machining end-product dimensional accuracy (Barry, Byrne et al 2001, Shivpuri, Hua et al 2002.…”

Section: Introductionmentioning

confidence: 99%

MTS model based force prediction for machining of Ti-6Al-4V

Pan

Shih

Garmestani

et al. 2017

JAMDSM

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The high temperature and severe plastic deformation could promote workpiece material microstructure evolution in the machining process. The material mechanical properties are functions of the material microstructure attributes. Traditional material flow stress model approximates the material mechanical behavior at a continuum level by ignoring the microstructure effects. In the current study, a microstructure based mechanical threshold stress (MTS) model is proposed for the machining process application. The MTS model takes the material grain boundary and dislocation resistance into account. Within both the analytical and FEA machining process modeling framework, the MTS model is implemented for the machining forces prediction. The validation of the MTS application into machining forces prediction are conducted by comparison with experimental results. Good agreement is found between the experiment and prediction. Additionally, slight force prediction improvement is observed by comparing with the traditional Johnson-cook flow stress model.

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Machinability improvement of titanium alloy (Ti–6Al–4V) via LAM and hybrid machining

Cited by 302 publications

References 25 publications

A decision support methodology for embodiment design and process chain selection for hybrid manufacturing platforms

A decision support methodology for embodiment design and process chain selection for hybrid manufacturing platforms

Ultrasonically Assisted Machining of Titanium Alloys

MTS model based force prediction for machining of Ti-6Al-4V

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