Multi-objective Optimization of Titanium Alloy through Orthogonal Array and Grey Relational Analysis in WEDM

Saedon, Juri; Jaafar, Norkamal; Yahaya, Mohd Azman; Saad, N. H.; Kasim, Mohd Shahir

doi:10.1016/j.protcy.2014.09.057

Cited by 37 publications

(25 citation statements)

References 3 publications

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“…In the initial state, we can divide the data transmission region. [31][32][33] In the network transmission model of IoT, the coevolution is divided into three stages: subspace partition, selection of subspace adaption function, and subspace mutual collaboration. The neighboring region partition model is much important to keep the variety of population in coevolution.…”

Section: Data Transmission Modelmentioning

confidence: 99%

DTSW: A data transmission scheme based on weighted security partition model in industrial Internet of Things environment

Zhu

Zheng

Huang

et al. 2019

Advances in Mechanical Engineering

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With the rapid development of industrial Internet of Things, the secure transmission of nodes in Internet of Things is easily attacked by malicious nodes at all times, thereby causing a great threat to network performance and security of industrial Internet of Things. To improve the security and success rate of data transmission in industrial Internet of Things environment, this work proposes a data transmission scheme based on the weighted security partition model by considering the requirements of a hostile industrial environment. The weighted security partition of the nodes determines the secret distribution model. On this basis, a secure authentication scheme for network transmission is proposed for industrial Internet of Things to prevent the data from being tampered by malicious industrial nodes. Authority access control is added to the authentication scheme. The network access authority of users is used to eliminate the access of malicious users. Finally, the simulation experiments and performance evaluation are conducted and compared with other secure transmission algorithms. Results show that, by comparing to low-energy adaptive clustering hierarchy and distributed data secure transmission, the transmission rate of the proposed algorithm has increased by 35% and 25%, and the lifetime has increased by 34.3% and 37.3%, respectively.

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Section: Data Transmission Modelmentioning

confidence: 99%

DTSW: A data transmission scheme based on weighted security partition model in industrial Internet of Things environment

Zhu

Zheng

Huang

et al. 2019

Advances in Mechanical Engineering

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show abstract

“…The ANOVA test results shows that peak current influences the SR as 61.56% and remaining parameters affects as 27.59, 5.174, and 5.27%. [3]et.al. have been reported on effect of process parameters such as pulse off time, peak current, wire feed rate, wire tension on performance characteristics such as surface roughness, cutting rate and material removal rate using multi objective optimization of Ti alloy through orthogonal array and grey relational analysis in WEDM.…”

Section: B B Rajesh Kumar Lodhi Sanjay Agarwarmentioning

confidence: 99%

Review on Effect of Machining Parameters on Performance Characteristics of Wire EDM Process

Ajay¹

2018

IJRASET

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The Wire EDM process has several machining parameters such as pulse on time, pulse off time, supply voltage, peak current, wire speed, wire feed, machining time, and rate of flushing, material and size of the wire, dielectric type, viscosity and other flow characteristics. Several researchers have made an attempt to improve the performance characteristics namely surface roughness, cutting speed, dimensional accuracy, dimensional deviation and material removal rate. Selection of optimal machining parameters plays an important role. Improperly selected parameters may result in serious problems like shot circuit and wire breakage. Hence there is a huge demand for research studies to find out the optimal machining parameters of WEDM. In this paper; a detailed review on effect of machining parameters on performance characteristics of Wire EDM process is presented and effect of optimization of process parameters is discussed.

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“…So several new techniques were added in some past few years of research out of which wire EDM is a non-conventional method of machining. Aluminum metal matrix Composite materials gives improved mechanical properties which will depend on the constituents and percentage of constituents added in the material [8][9]. Silicon carbide (SiC), Graphene, Titanium boride (TiB 2 ), and titanium carbide (TiC) particles are reinforcing elements.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Surface Characteristics for Al–SiC Metal Matrix Composites Machined by Wire Electrical Discharge Machining (WEDM)

Singh¹

2020

IJST

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Objectives: The application of light weight products used for automobile needs to require the use of Al metal matrix composites (MMCs). The optimized combination of process variables has been found to accomplish for better machining. Methods/statistical analysis: There is different type of machining methods used for machining of MMC but it is not so easy to machine these materials with full efficiency and desired output responses because of difficult to machine these materials as compared to other unreinforced materials like alloys and smart materials. The main reason behind hardness of aluminum MMCs is heterogeneous structure which makes its surface layer with high fatigue strength, smooth, and tough. L 9 orthogonal array has been used to perform the experiments. Findings: The effect of parameters has been calculated and analyzed for response analysis. The effect of various machining parameters like wire diameter, current, voltage, pulse on time, and pulse off time is observed and analyzed on surface properties of the Al-SiC MMCs. As a result of compressive residual stress on the surface that is a plus point for material to use it for tough work, but along with this it will cause high tool wear and surface imperfections while machining, so these are some reasons for the recommendation of non-conventional machining methods to machine aluminum matrix composites. So, several new techniques were added in some past few years of research which is explained in this research article. Application/improvements: Wire electrical discharge machining (WEDM) which is an advanced machining method which is used for manufacture difficult shapes conductive work piece materials. Experimental work will be done on the WEDM of Al-SiC MMC.

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Multi-objective Optimization of Titanium Alloy through Orthogonal Array and Grey Relational Analysis in WEDM

Cited by 37 publications

References 3 publications

DTSW: A data transmission scheme based on weighted security partition model in industrial Internet of Things environment

DTSW: A data transmission scheme based on weighted security partition model in industrial Internet of Things environment

Review on Effect of Machining Parameters on Performance Characteristics of Wire EDM Process

Analysis of Surface Characteristics for Al–SiC Metal Matrix Composites Machined by Wire Electrical Discharge Machining (WEDM)

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