Mechanical Micro‐Machining

Özel, Tuğrul; Thepsonthi, Thanongsak

doi:10.1002/9781118010570.ch8

Cited by 6 publications

(3 citation statements)

References 97 publications

(164 reference statements)

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“…In PSO, each particle flies in the search space with a velocity which is dynamically adjusted according to its own flying experience and its companions' flying experiences. It is widely reported that PSO algorithm is very easy to implement to solve real world optimization problems [11] and has fewer parameters to adjust when compared to other evolutionary algorithms. The information sharing mechanism among the particles in PSO is significantly different from the information sharing among the chromosomes in GAs.…”

Section: Related Workmentioning

confidence: 99%

OFDM Systems Resource Allocation using Multi-Objective Particle Swarm Optimization

Annauth¹,

Rughooputh

2012

IJCNC

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Orthogonal Frequency Division Multiplexing (OFDM) has the inherent properties of being robust to interference and frequency selective fading and is de facto the adopted multiplexing techniques for the 4 th generation wireless network systems. In wireless system, resources such as bandwidth and power are limited, intelligent allocation of these resources to users are crucial for delivering the best possible quality of services. In this paper the problem of resource allocation in multiuser OFDM system is tackled using multi objective particle swarm optimization. Simulation results are presented for 3GPP-LTE system.

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Section: Related Workmentioning

confidence: 99%

OFDM Systems Resource Allocation using Multi-Objective Particle Swarm Optimization

Annauth¹,

Rughooputh

2012

IJCNC

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“…Miniaturized products have micro (µm) sizes and have significant advantages compared to conventional machining in term of performance and design features. Micro components are used in medical fields, aerospace industry, consumer electronics and many fields [1]. demand has risen to develop technologies for processing difficult-to-machine alloys, such as titanium alloy, with good precision.…”

Section: Introductionmentioning

confidence: 99%

“…In order to produce accurate and complex products, micromachining especially micro milling process has been used. According to Özel and Thepsonthi [1], micro milling process is a scaleddown version of tool based traditional material removal process. Unlike conventional milling process, micro milling process has its own problems such as size effect, minimum chip thickness, severe burr formation, rapid tool wear and poor surface quality [3].…”

Section: Introductionmentioning

confidence: 99%

Temperature Distribution of Micro Milling Process due to Uncut Chip Thickness

Baharudin

Sulaiman

et al. 2014

AMR

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A simplified model for micro milling process is presented, as well as results on temperature on tool and work piece. The purpose is to investigate on finite element modelling of two flute micro end milling process of titanium alloy, Ti6Al4V with prediction of temperature distribution. ABAQUS/Explicit has been chosen as solver for the analysis. A thermo-mechanical analysis was performed. First model was created by selecting medium carbon steel, AISI1045, as workpiece material for model validation purpose. Second model was created by modifying the workpiece material from AISI1045 to Ti6Al4V. The model consists of two parts which are tungsten carbide micro tool and workpiece. Johnson-Cook law model has been applied as material constitutive properties for both materials due to its severe plastic deformation occur during machining. Prediction on forces was obtained during the analysis. Model validation was done by comparing results published by Woon et al. in 2008. The results showed a good agreement in cutting force. Once this was proved, the same model was then modified to simulate finite element analysis in micro milling of Ti6Al4V. Prediction of temperature distribution of micro end mill of Ti6Al4V was done in relation of different undeformed chip thickness. The findings showed that temperature increases as undeformed chip thickness increases. Temperature distribution of Ti6Al4V and AISI1045 under same machining conditions was compared. Results showed that the highest temperature was concentrated at tool edge for Ti6Al4V.

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