Prediction and optimization of process parameters of green composites in AWJM process using response surface methodology

Jagadish, Jagadish; Bhowmik, Sumit; Ray, Amitava

doi:10.1007/s00170-015-8281-x

Cited by 86 publications

(21 citation statements)

References 49 publications

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“…Some researchers studied the effect of parameters on the performances during AWJ machining of the natural fiberreinforced composite. Jagadish et al [86] investigated SR and processing time on green composite. They revealed that jet pressure was found as the most significant parameter for SR followed by feed rate and SOD, while processing time was mostly affected by feed rate.…”

Section: Effect Of Jet Pressure Traverse Rate Sod and Amfrmentioning

confidence: 99%

Abrasive waterjet machining of fiber-reinforced composites: a state-of-the-art review

Thakur

Singh

2020

J Braz. Soc. Mech. Sci. Eng.

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Fiber-reinforced composites have established as a high-performance composite of modern advanced structures in various sectors such as automotive, aerospace, and marine industries. Non-conventional machining processes are preferred for the ease of manufacturing operations, which incorporates the machining of high strength and anisotropic material. Non-conventional manufacturing processes produce complicated shaped profiles and better surface characteristics. Abrasive water jet (AWJ) machining is an emerging technology that offers an excellent alternative among the various advanced machining processes due to its process capabilities and excellent machining quality. AWJ machining has fascinated immense attention in the fields of fiber-reinforced composite materials to produce intricate industrial components and attracted the researchers and production industries. It has become well-known in all key areas of researches. Over the past 30 years, lots of research work has been carried out to describe the machining performances among the studied process parameters. This paper reviews the research progresses and integrated functions of AWJ machining in terms of mechanism and machining performances, which includes aspects such as mathematical modeling and optimization. AWJ machining procedure and performance capability are reviewed and depicted in detail. Also, a comprehensive conclusion of this review, along with future perspective, is explored subsequently. The current review work will help future researchers for the proper selection of different FRP material composite compositions and AWJ machining parameters to achieve better performances. The collection of this review literature will also support the production operations in the future.

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Section: Effect Of Jet Pressure Traverse Rate Sod and Amfrmentioning

confidence: 99%

Abrasive waterjet machining of fiber-reinforced composites: a state-of-the-art review

Thakur

Singh

2020

J Braz. Soc. Mech. Sci. Eng.

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“…Obtained dimension A0 is measured and in table is written the difference to the desired dimension A, considered theoretical dimension, by calibrating the software. Combinations of configurations parameters are influenced differently by uncontrollable noise factors [10][11]. In classical method is calculated the average response for each factor and for each level.…”

Section: Resultsmentioning

confidence: 99%

Reduction of dimensional variability of pieces, resulted in AWJ process, using robust design method

2017

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Abstract. Dimensional variability arises in AWJ system from uncontrolled factors intervention or due to the variability of input signals considered fixed or due to interactions of the input signals with unexpected effects, leading to deterioration of unpredictable outcome. Number of noise factors, negatively influence the results registered, dispersion of the result values is directly proportional to the number and their effect. Stochastic influence and his unpredictable nature determine a thorough research of the hydroabrasive process. The research refers to the study of dimensional variability for different configurations of hydroabrasive liquid pressure, abrasive type and traverse velocity. This is achieved by performing the experiments statistically processed by combining of control parameters, which allow favorable conclusions on reducing variability results and on optimizing the entire process of hydroabrasive machining.

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“…Under such circumstances, the effective utilization of experimental, modeling, and optimization methodology makes possible a greater improvement in decision-making with new technological solution that can simultaneously satisfy and control the several distinctive as well as contradictory objectives (multi-objective) in order to make the HAJM process as an excellent choice for machining of advanced engineering ceramic and quartz materials. Several statistical and computational approaches such as MRA [1][2][3], RSM [4][5][6][7][8][9], ANN [10][11][12][13] have been applied for predictive modeling and Taguchi method [14][15][16][17][18], GRA [19][20][21][22][23][24][25], desirability function approach of RSM [26][27][28][29][30][31][32], PCA [33,34], TOPSIS [35], GA [11,12,36,37], PSO [38,39] have been employed for parametric as well as process optimization in abrasive jet machining with the help of carrier gas or liquid medium. Extensive studies have been reported by employing various experimental designs, modeling techniques, and optimization approaches in order to assess or investigate th...…”

Section: Introductionmentioning

confidence: 99%

Experimental investigation on machining of hardstone quartz with modified AJM using hot silicon carbide abrasives

Pradhan

Das

Nanda

et al. 2020

J Braz. Soc. Mech. Sci. Eng.

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This study aims to analyze the accomplishment of cutting performance in hot abrasive jet machining (HAJM) of hardstone quartz concerning surface roughness, taper angle, and material removal rate. Fifteen sets of experimental trials were conducted by considering three cutting parameters (air pressure, abrasive temperature, standoff-distance) based on Box-Behnken's design of experiments. Additionally, response surface methodology, analysis of variance, and statistical technique (here, desirability function approach) followed by computational approach (here, genetic algorithm) are, respectively, employed for experimental investigation, predictive modeling, and multi-response optimization. Thereafter, the effectiveness of proposed two multi-objective optimization techniques is evaluated by confirmation test and subsequently, the best optimal solution is used for cost analysis to rationalize the usefulness of hot abrasives in AJM process with an intension to raise the awareness in the manufacturing industry. Based on results, application of hot abrasives in AJM process has shown an attention in enhancing the cutting performance for material removal.

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Prediction and optimization of process parameters of green composites in AWJM process using response surface methodology

Cited by 86 publications

References 49 publications

Abrasive waterjet machining of fiber-reinforced composites: a state-of-the-art review

Abrasive waterjet machining of fiber-reinforced composites: a state-of-the-art review

Reduction of dimensional variability of pieces, resulted in AWJ process, using robust design method

Experimental investigation on machining of hardstone quartz with modified AJM using hot silicon carbide abrasives

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