Optimization of correlated multiple responses of ultrasonic machining (USM) process

Gauri, Susanta Kumar; Chakravorty, Rina; Chakraborty, Shankar

doi:10.1007/s00170-010-2905-y

Cited by 48 publications

(35 citation statements)

References 29 publications

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“…The history of USM started since 1927 with a research paper reported by A. L. Loomis and R. W. Wood [1,2,3,5,8,10]. American engineer Lewis Balamuth in 1945 was granted first patent [1,2,6,7,8,10].…”

Section: Introductionmentioning

confidence: 99%

“…American engineer Lewis Balamuth in 1945 was granted first patent [1,2,6,7,8,10]. USM process have been classified as ultrasonic drilling, ultrasonic cutting, ultrasonic abrasive and ultrasonic dimensional machining [1,4,5,11].…”

Section: Introductionmentioning

confidence: 99%

“…Through USM, glass, ceramics, titanium, titanium alloys and many more materials are easily machined [1,2,3,4]. If the hardness of material is more than 40 HRC then USM is successfully performed [3,7,10].…”

Section: Introductionmentioning

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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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

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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“…Only a few researchers (Kumar & Khamba, 2010;Gauri et al, 2011) attempted to simultaneously optimize the multiple responses of USM process. Kumar and Khamba (2010) simultaneously optimized MRR and TWR in the ultrasonic machining of co-based super alloy using multiple SN ratio (MSNR) method, which is essentially MRSN method (Ramakrishnan & Karunamoorthy, 2006).…”

Section: Introductionmentioning

confidence: 99%

“…Kumar and Khamba (2010) simultaneously optimized MRR and TWR in the ultrasonic machining of co-based super alloy using multiple SN ratio (MSNR) method, which is essentially MRSN method (Ramakrishnan & Karunamoorthy, 2006). On the other hand, Gauri et al (2011) took into account the correlations among the multiple responses of USM process and compared the optimization performances of three methods that take care of the correlations among the multiple responses. However, multiple responses of USM process may not be truly correlated always.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Multiple Responses of Ultrasonic Machining (USM) Process: A Comparative Study

Chakravorty¹,

Gauri²,

Chakraborty³

2013

ijiec

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Ultrasonic machining (USM) process has multiple performance measures, e.g. material removal rate (MRR), tool wear rate (TWR), surface roughness (SR) etc., which are affected by several process parameters. The researchers commonly attempted to optimize USM process with respect to individual responses, separately. In the recent past, several systematic procedures for dealing with the multi-response optimization problems have been proposed in the literature. Although most of these methods use complex mathematics or statistics, there are some simple methods, which can be comprehended and implemented by the engineers to optimize the multiple responses of USM processes. However, the relative optimization performance of these approaches is unknown because the effectiveness of different methods has been demonstrated using different sets of process data. In this paper, the computational requirements for four simple methods are presented, and two sets of past experimental data on USM processes are analysed using these methods. The relative performances of these methods are then compared. The results show that weighted signal-to-noise (WSN) ratio method and utility theory (UT) method usually give better overall optimisation performance for the USM process than the other approaches.

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Introduction

Bhowmik¹,

Jagadish²,

Gupta³

2018

Modeling and Optimization of Advanced Manufacturing Processes

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Optimization of correlated multiple responses of ultrasonic machining (USM) process

Cited by 48 publications

References 29 publications

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

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

Optimization of Multiple Responses of Ultrasonic Machining (USM) Process: A Comparative Study

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