Increasing the productivity of the wire-cut electrical discharge machine associated with sustainable production

Maher, Ibrahem; Sarhan, Ahmed A.D.; Barzani, Mohsen Marani; Hamdi, M.

doi:10.1016/j.jclepro.2015.06.047

Cited by 58 publications

(18 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Since then, the ANFIS method has been widely used in many research areas, such as prediction (Abdulshahed, Longstaff, & Fletcher, ; Hegde & Raju, ; Petković, Shamshirband, Abbasi, Kiani, & Al‐Shammari, ; Rai, Pai, & Rao, ), knowledge discovery (Huang, Tsou, & Lee, ; Inyang & Akinyokun, ; Vahidnia, Alesheikh, Behzadi, & Salehi, ), decision‐making (Hashemi, Pilevar, & Rafeh, ; Li, Yang, & Cao, ; Özkan & İnal, ) and evaluation (Eldessouki & Hassan, ; Maher, Sarhan, Barzani, & Hamdi, ; Sangaiah, Thangavelu, Gao, Anbazhagan, & Durai, ; Sun, Hu, Lei, Zhu, & Jiang, ). For example, Sun et al () applied the ANFIS method to evaluate the ground source heat pump (GSHP) system, and found that it provided high accuracy and reliability for calculating performance indexes of the system.…”

Section: Literature Reviewmentioning

confidence: 99%

Adaptive neuro‐fuzzy inference system approach for urban sustainability assessment: A China case study

Tan

Shuai

Jiao

et al. 2018

Sustainable Development

View full text Add to dashboard Cite

Urbanization, especially in developing countries, has led to numerous concerns, such as air pollution, traffic congestion and habitat destruction. Within this context, it is important to evaluate urban development as sustainable, and various sustainability assessment methods have been developed, including fuzzy logic approaches. However, predefined fuzzy rules and simple linear membership functions were used, which are largely based on the knowledge of subject experts. Therefore, this paper aims to introduce an adaptive neuro‐fuzzy inference systems (ANFIS) approach for urban sustainability assessment. With collected training samples from the Urban China Initiative, and the ANFIS approach was used to rank 185 selected cities in China. The results show that the ANFIS approach is appropriate for assessing urban sustainability, and the nonlinear membership functions fit the training samples better than the linear membership functions. Further discussion indicates that future research on sustainability assessment should be more integrated.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Adaptive neuro‐fuzzy inference system approach for urban sustainability assessment: A China case study

Tan

Shuai

Jiao

et al. 2018

Sustainable Development

View full text Add to dashboard Cite

show abstract

“…The available literature provides several studies wherein different performance indices are defined, such as cutting speed, surface roughness, width of kerf, dimensional accuracy, material removal rate, gap current, gap voltage, micro-hardness, heat affected zone, wire wear ratio, X-ray analysis-based characteristics and similar. Maher et al [5] present a study including the surface roughness, cutting speed and heat affected zone in WEDM operation. They used different machining parameters such as peak current with two levels, pulse on time and wire tension with three levels based on Taguchi L18 orthogonal array.…”

Section: Introductionmentioning

confidence: 99%

Cutting Rate and Surface Characteristic Analysis in CNC Wire Electrical Discharge Machining of Aluminium Bronze

2019

View full text Add to dashboard Cite

In this study, cutting rate and surface characteristic analysis in wire electrical discharge machining of aluminium bronze were investigated. Cutting rate analyses were performed according to Taguchi L18 (2 1 ×3 2) orthogonal array. Machining parameters such as wire type, duration between two pulses (BT) and pulse time (AT) were used as control factors. Raw data obtained for cutting rate were converted to S/N ratio values. Optimum levels of the machining parameters for cutting rate were determined using analysis of signal-to-noise (S/N) ratio. Significant machining parameters and their percentage contributions on results were obtained using Analysis of Variance (ANOVA). Regression analysis was performed to model the relationship between cutting rate and machining parameters. Analyses of surfaces machined of workpiece using both two wires for minimum and maximum cutting rate were observed using scanning electron microscope (SEM) and surface roughness device.

show abstract

“…Wire electrical discharge machining (WEDM) process is widely used in manufacturing industries for its unique capability of producing intricate shapes with ultra-high precision. It is familiar for its standout features on machining 2D and 3D profiles with sharp corners and low residual stresses even for higher thicknesses [1,2].…”

Section: Introductionmentioning

confidence: 99%

“…Recently, WEDM has evolved as an indispensable process on machining exotic materials, ceramics and high strength temperature resistive (HSTR) alloys [2][3][4]. It finds extensive applications in churning out benchmark products for the tool and dies industry especially in the manufacturing of gauges, stamping and extrusion dies.…”

Section: Introductionmentioning

confidence: 99%

Investigation on machining and surface characteristics of AA5083 for cryogenic applications by adopting trim cut in WEDM

Selvakumar¹,

Kuttalingam²,

Prakash³

2018

J Braz. Soc. Mech. Sci. Eng.

View full text Add to dashboard Cite

This paper presents the experimental investigation on wire electrical discharge machining (WEDM) of aluminum alloy 5083 (AA5083), an exotic material widely used for cryogenic applications. In this work, an attempt has been made primarily to examine the influence of number of trim cuts on WEDM for the following responses: cutting speed, surface roughness, corner error and dimensional shift. AA5083 is one of the predominant materials used in cryogenic applications. It is inevitable to comprise the inherent property and surface quality of the material in cryogenic conditions. Hence, it is identified that cutting AA5083 in WEDM is a potential process. Taguchi methodology has been used for conducting the experiments. The present work has been focused on satisfying the customer needs and demands of acquiring the expected surface quality with maximum productivity. Experimental results proved that the rough cut followed with one optimal trim cut produces maximum cutting speed with good surface quality. Besides, an expression has been derived for calculating average cutting speed and effective cutting speed in trim cuts. Furthermore, the surface integrity of the rough cut and trim cut is compared and discussed with the SEM micrographs.

show abstract

Increasing the productivity of the wire-cut electrical discharge machine associated with sustainable production

Cited by 58 publications

References 23 publications

Adaptive neuro‐fuzzy inference system approach for urban sustainability assessment: A China case study

Adaptive neuro‐fuzzy inference system approach for urban sustainability assessment: A China case study

Cutting Rate and Surface Characteristic Analysis in CNC Wire Electrical Discharge Machining of Aluminium Bronze

Investigation on machining and surface characteristics of AA5083 for cryogenic applications by adopting trim cut in WEDM

Contact Info

Product

Resources

About