Cutting power prediction model for turning of GFRP composites using response surface methodology

Hussain, SA; Pandurangadu, V.; Kumar, K. Vijay

doi:10.4314/ijest.v3i6.13

Cited by 12 publications

(10 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…surface roughness, flank wear, crater wear and machining force. Hussain et al [24] highlighted the power consumption in machining of GFRP composites by using three different cutting tools: namely Carbide (K-20), Cubic Boron Nitride (CBN) and PolyCrystalline Diamond (PCD). The study also developed a model using RSM to predict power consumption.…”

Section: State Of Art: Turning Of Gfrp Compositesmentioning

confidence: 99%

Multi-response Optimization in Machining of GFRP (Epoxy) Composites: An Integrated Approach

Verma

Abhishek

Datta

et al. 2015

Journal for Manufacturing Science and Production

View full text Add to dashboard Cite

This paper investigates on optimization of process control parameters during machining (drilling and turning) of Glass Fiber Reinforced Polymer (GFRP) composites by considering multiple process performance yields. The main characteristic indices for evaluating drilling performance are thrust force, torque and delamination factor (at entry as well as exit); the corresponding machining parameters are drill speed, feed rate and diameter of the drill bit. The following process parameters viz. spindle speed, feed rate, and depth of cut have been considered to investigate multiple process responses viz. Material Removal Rate (MRR), surface roughness (R a ), tool-tip temperature (maximum temperature generated during machining at tool-tip) and resultant cutting force whilst turning of GFRP (epoxy) composite specimens. As traditional Taguchi method is unable to solve multiobjective optimization problem; to overcome this limitation; the study proposes Principal Component Analysis (PCA) along with fuzzy logic and finally Taguchi philosophy towards multiple-objective optimization in machining of GFRP composites. Analysis of the solutions for the multiobjective optimization by aforesaid approach has been depicted through two case experimental researches. It has also been observed from drilling experiments that PCA-fuzzy (integrated with Taguchi method) has provided better result as compared to WPCA (Weighted Principal Component Analysis) based Taguchi method. The proposed PCA-Fuzzy based Taguchi method can fruitfully be applied for continuous quality improvement and off-line quality control of the process/product.

show abstract

Section: State Of Art: Turning Of Gfrp Compositesmentioning

confidence: 99%

Multi-response Optimization in Machining of GFRP (Epoxy) Composites: An Integrated Approach

Verma

Abhishek

Datta

et al. 2015

Journal for Manufacturing Science and Production

View full text Add to dashboard Cite

show abstract

“…f.v=169.01 (N) 0.208 (f) The regression analysis Eqs. (8), (10) and (12) determined the value of power consumption, surface roughness and frequency of tool vibration respectively for the turning of ASTM A36 Mild Steel. This would serve as a useful guide for selecting the proper values of process parameters to obtain the desired power consumption, surface roughness, and frequency of tool vibration of the turned product.…”

Section: Quantification Of Frequency Of Tool Vibrationmentioning

confidence: 99%

“…Power is the product of main cutting force and the cutting velocity and is a better criterion for design and selection of any machine tools. Power consumption may be used for monitoring the tool conditions [9][10][11][12]. Many researchers and practitioners have studied the effects of optimal selection of machining parameters in turning.…”

Section: Introductionmentioning

confidence: 99%

Empirical modelling of machining parameters for turning operations using multi-objective Taguchi method

Saha¹

2022

Int. J. Automot. Mech. Eng.

View full text Add to dashboard Cite

This paper presents an effective approach for the optimisation of process parameters in the turning operation for machining ASTM A36 Mild Steel bar with multi-performance characteristics using multi-objective Taguchi method. Based on Taguchi orthogonal array, 27 experimental runs were performed to identify the optimal level of process parameters. The multiple performance characteristics including power consumption, surface roughness and frequency of tool vibration were the quality variables considered for the optimisation. An input-output inprocess parameter relationship model was developed using regression analysis for the power consumption, surface roughness and frequency of tool vibration. The optimum combination of machining parameters and their levels for the optimum multi-performance characteristics of the turning process was A1B1C1 (i.e. speed: 160 r.p.m, feed rate: 0.08 mm/rev and depth-of-cut: 0.1 mm). This study will be very useful to shop floor engineers in deciding the levels of the turning parameters for optimal performance characteristics.

show abstract

“…For turning experiments, tungsten carbide cutting tool coated TiAlN triangular YBG205 class was used; and cutting parameters given in Table 3 were selected. These parameters were determined according to the recommended cutting parameters for cutting tools and the literature studies [15,[19][20][21]23].…”

Section: Turning Tests and Taguchi Test Designmentioning

confidence: 99%

“…GFRP composites fabricated by hand lay-up method provided a better processability index than those produced by the filament winding method. Hussain et al [21] investigated the effects of fiber orientation angle, cutting tool type (K20, CBN, and PCD), feed rate, cutting speed, and depth of cut on power consumption in turning of GFRP composite pipes. In experimental results, they stated that power consumption was lower in low feed rate, cutting speed and fiber orientation angle, and medium depth of cut.…”

Section: Introductionmentioning

confidence: 99%

Investigation of mechanical characteristics of GFRP composites produced from chopped glass fiber and application of taguchi methods to turning operations

Çelik

Türkan

2020

SN Appl. Sci.

View full text Add to dashboard Cite

Glass fiber-reinforced plastic (GFRP) composites take place in engineering materials owing to their low-weight and high-mechanical properties. In some cases, they need to be shaped by machining before using in industrial applications. However, when these composites are machined, many problems such as bad surface quality, rapid tool wear are encountered. Therefore, optimization of cutting parameters is essential to eliminate or minimize these problems. In this study, GFRP composites were produced by combining polyester matrix material with glass fibers (GF) having 6 mm, 6-12 mm, 12 mm fiber length, and 20%, 25%, 30% fiber ratio by weight. The tensile strengths of these composites were investigated. Turning tests were also performed with cutting speeds of 40, 80, and 120 m/min, feed rates of 0.1, 0.2 and 0.3 mm/rev, and depth of cut of 1, 2, and 3 mm, according to Taguchi L 27 standard orthogonal array method. The effect of fiber length and ratio, and cutting parameters on cutting forces and surface roughness were analyzed. As a result of the experiments, it was observed that the reinforced polymer matrix with GF provide to increase the tensile strength. The highest tensile strength was obtained as 55.95 MPa from the composite having a fiber length of 12 mm and a fiber ratio of 25%. Besides, the feed rate was determined as the most effective parameter among the all parameters on both cutting force and surface roughness. Therefore, the feed rate should be chosen low for lower cutting force and surface roughness values.

show abstract

Cutting power prediction model for turning of GFRP composites using response surface methodology

Cited by 12 publications

References 8 publications

Multi-response Optimization in Machining of GFRP (Epoxy) Composites: An Integrated Approach

Multi-response Optimization in Machining of GFRP (Epoxy) Composites: An Integrated Approach

Empirical modelling of machining parameters for turning operations using multi-objective Taguchi method

Investigation of mechanical characteristics of GFRP composites produced from chopped glass fiber and application of taguchi methods to turning operations

Contact Info

Product

Resources

About