Optimisation of the EDM Process Based on the Orthogonal Array with Fuzzy Logic and Grey Relational Analysis Method

Lin, Chuen-Horng; Lin, Jyh Dong; Ko, Taewoo

doi:10.1007/s001700200034

Cited by 334 publications

(143 citation statements)

References 5 publications

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“…The same "bee" structure (also called catana phase) was repeatedly observed in other works with an average height between 22 and 85 nm and a typical distance between strips of order 150 nm. 10,11 The link between the extent of "bee" phase and the asphaltene has been confirmed in one study 12 when it was discarded and a correlation was instead proposed with the metal content of the bitumen in another one. 10 The SEM observation of the same "gel" bitumen that gave "bee" structure in AFM, showed connecting aggregates of what was believed to be asphaltene particles of diameter around 100 nm.…”

Section: Introductionmentioning

confidence: 94%

Gray Correlation Analysis on the Relationship Between Colloidal Structure and Chemical Component of Asphalt Colloid and Performance

Cao¹

2015

Kem. Ind.

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Asphalt is considered a colloidal material and it is important to study the relationship between its colloidal structure, chemical components and performance. The aromatic nucleus content of asphalt at different depth analysed by attenuated total reflection (ATR) was taken as the index of colloid structure. The gray correlation was used to analyse the relationship between colloidal structure and chemical components of asphalt gel and performance. The results show that the correlation degree between the index of colloidal structure and saturates and resins is high, which proves that saturates and resins play an important role in asphalt colloid structure. With regard to the asphalt performance indexes, the complex modulus G* and the tangent of the phase angle (tan δ) have good correlation with the index of colloidal structure at the temperature of 30 -70 °C but poor correlation at the temperature of 70 -90 °C. Low temperature performance has a good correlation with colloid structure index, and t g can better reflect the characteristics of colloidal structure. The analysis shows that the colloidal structure of asphalt is a complex system and it is necessary to use more than one index to characterize the performance.

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Section: Introductionmentioning

confidence: 94%

Gray Correlation Analysis on the Relationship Between Colloidal Structure and Chemical Component of Asphalt Colloid and Performance

Cao¹

2015

Kem. Ind.

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“…The tool material should be such that indentation by the abrasive grits does not lead to brittle failure. Thus the tools are made of tough, strong and ductile materials like steel, stainless steel and other ductile metallic alloys [15,19,37,48,51,61,62,64] Other than this brittle failure of the work material due to indentation some material removal may occur due to free flowing impact of the abrasives against the work material and related solid-solid impact erosion, but it is estimated to be rather insignificant [19,58,63,65,66,67]. Thus, in the current model, material removal would be assumed to take place only due to impact of abrasives between tool and workpiece, followed by indentation and brittle fracture of the workpiece.…”

Section: Traditional Ultrasonic Machiningmentioning

confidence: 99%

“…An abrasive particle is considered to be spherical but with local spherical bulges as shown in figure 3 The abrasive particles are characterized by the average grit diameter, d g [37,59,65,69,71,72]. It is further assumed that the local spherical bulges have a uniform diameter, d b and which is related to the grit diameter by d b = µ d g 2 .…”

Section: Traditional Ultrasonic Machiningmentioning

confidence: 99%

“…Mechanism of material removal or erosion is investigated by various researcher [1,2,3,12,15,16,17,19,40,45,65,77,78,79,80,81]. Figure 7 shows basic mechanism of material removal process in USM.…”

Section: Traditional Ultrasonic Machiningmentioning

confidence: 99%

“…Erosion effect is produced through bombardment of abrasive particles directly against the work surface [12, 16,17,28,30,31,79,80,81,82]. Appropriate flow of slurry will enhanced the material removal rate [2,12,17,19,22,24,26,65]. Cavitation effect is also formed by slurry, which reduce the material removal rate [19,20,40,46].…”

Section: Traditional Ultrasonic Machiningmentioning

confidence: 99%

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Mathematical Modeling for Material Removal and Optimization of Ultrasonic Drilling of Polycarbonate and Acrylic Glass for Surface Roughness by GRA Approach

Singh¹

2017

IJMEA

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Abstract:Polycarbonate bullet proof and acrylic heat resistant glasses are used as the functional material in many industrial application. In automobile industries, banks and cabins, polycarbonate bullet proof glass has been used for security purpose. Similarly, acrylic heat resistant glass is used in furnace, microwaves, space craft and airplane applications. In this experimental research paper, Taguchi modal and Grey relational analysis are utilized for the ultrasonic drilling in these materials. For experimentation, input parameters are concentration, abrasive, grit size, power rating, hydrofluoric acid and tool materials. Output parameters are material removal rate, tool wear rate and surface roughness. In which, surface roughness is most significant output parameter, because it describe accuracy of the process. Through optimization analysis, Taguchi modal suggest that 40% abrasive concentration, mixture of (Alumina, Silicon carbide and Boron carbide) abrasive in 1:1:1, 600 grit of abrasive and 1.5% hydrofluoric acid gives best results for drilling in polycarbonate bullet proof glass material. Similarly, in acrylic heat resistant glass, mixture of Silicon carbide and Boron carbide (1:1), 600 grit abrasive and 1% hydrofluoric acid gives the optimum results. Concentration of slurry, abrasive grit size and hydrofluoric acid are the most significant parameters for ultrasonic drilling in both materials. Through Grey relational analysis the surface roughness is improved by 40% and 48% in polycarbonate (UL-752) and acrylic (BS-476) glass respectively.

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Optimization of Fiber Laser Produced Hastelloy C‐276 Single Track Clad

Leggett¹,

Balu²,

Hamid³

et al. 2011

Supplemental Proceedings

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Optimisation of the EDM Process Based on the Orthogonal Array with Fuzzy Logic and Grey Relational Analysis Method

Cited by 334 publications

References 5 publications

Gray Correlation Analysis on the Relationship Between Colloidal Structure and Chemical Component of Asphalt Colloid and Performance

Gray Correlation Analysis on the Relationship Between Colloidal Structure and Chemical Component of Asphalt Colloid and Performance

Mathematical Modeling for Material Removal and Optimization of Ultrasonic Drilling of Polycarbonate and Acrylic Glass for Surface Roughness by GRA Approach

Optimization of Fiber Laser Produced Hastelloy C‐276 Single Track Clad

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