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    1.Introduction

    1.1Objective

    This paper reports an experimental investigation of a full factorial design performed

    on thin CFRP laminates using K20 carbide drill by varying the drilling parameters such asspindle speed and feed rate to determine optimum cutting conditions. The hole quality

    parameters analyzed include hole diameter, circularity, peel-up delamination and push-out

    delamination.

    Analysis of variance (ANOVA) was carried out for hole quality parameters and their

    contribution rates were determined. Genetic Algorithm (GA) methodology was used in the

    multiple objective optimization to find the optimum cutting conditions for defect free drilling.

    Tool life of the K20 carbide drill was predicted at optimized cutting speed and feed.

    1.2 Scope of topic

    There has been a growing interest in using composite materials in place of

    conventional materials in various structural application ranging from aircraft and space

    structures to automotive and marine applications. Composites, carbon fiber reinforced

    plastics(CFRP) in particular, are being widely utilized at a great extent due to superior

    properties. CFRP is stronger than steel than titanium, while still retaining its lighter weight.

    Carbon fibers which are commonly used to reduce the weight of structural components on the

    aircraft result in improved fuel economy, reduced Emissions& increased load carrying

    capacity of the aircraft.

    In Boeing 787, more than 50% of the structural weight is made of composites.

    Although composites are made to near net shape Assembly requires the drilling of large

    number of holes. Low speed drilling of CFRP was successfully conducted.

    As we all know the importance of high speed machining.In high speed machining the

    cutting time is very low and at the same time the quality is also very high.The productionrate is also high.So high speed drilling of CFRP is having a large scope in the modern world.

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    2. Literature Survey

    2.1 Study of Topic

    Of all the defects caused by drilling, delamination is one of the most critical defects

    because it is responsible for the rejection of approximately 60% of the components produced

    in the aircraft Industry Delamination results in poor assembly tolerance and reduces the

    structural integrity of the material.

    The two most significant delamination mechanisms are peeling of the lamina at the

    top layer and pushing action on the thin uncut layer at the bottom. Delamination is primarily

    influenced by thrust force developed during drilling. The delamination factors (peel-up and

    push-out) increased with an increase in thrust force and vice versa.

    The delamination associated with push-out is more severe than that of a peel-up. For

    the same fiber shape, the peel-up and push-out delaminations of woven/epoxy composite are

    lesser when compared to that of woven/polyester composites despite the two composites

    possessing approximately the same thrust forces.

    The delamination associated in drilling CFRP with helical flute carbide drill was

    lesser when drilled using a four flute carbide drill.

    Current research focuses on high speed machining (HSM) as it increases production

    besides being cost effect. When drilling is done at high cutting speeds, the thrust force

    developed is significantly less. Hence the spindle energy consumption is also reduced.

    Although the material removal rate is high, tool wear is one of the major limiting factors in

    HSM. Chen reported that combinations of low feed rates and high spindle speeds were

    preferable as they generated lower thrust force. When drilling carbon/epoxy material at high

    speeds the resultant drill wear is higher. This in turn results in an increase in the thrust force .

    Karnik et al. analyzed delamination while drilling CFRP at high spindle speeds using

    artificial neural network (ANN) and concluded that spindle speed, feed rate and point angle

    of the drill affect the delamination of the drilled hole. It was proposed that a combination of

    high spindle speed, low feed rate and low point angle would minimize damages that occur

    due to delamination.

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    Enemuoh et al. used a new comprehensive approach to select the cutting parameters

    for damage free drilling in CFRP. The approach they used was based on combination of

    Taguchis experimental analysis technique and a multi-objective optimization criterion. Kimand Ramulu studied the drilling of Gr/BiTi stacks and optimized the cutting parameters in

    terms of machined hole quality and machining cost. Due to dissimilar machining

    characteristics of the work piece materials, a multiple objective linear program was used to

    optimize the process parameters with suitable weighting factors.

    An analysis of literature reveals that not much work has been reported on the high

    speed drilling of CFRP laminates. The current study attempts to fill the gap by reporting an

    experimental study on high speed drilling of thin CFRP laminate using K20 carbide drills to

    study the influence of spindle speed and feed rate on hole diameter, circularity, delamination

    and thrust force. The results obtained are optimized using genetic algorithm to arrive at the

    optimal solution.

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    3.Technology used

    Work piece details

    The CFRP composite specimen used in the investigation was 2 mm thick. The

    laminate was prepared out of 8 layers of0.25 mm thickness each. Woven fibers (T300) were

    used in epoxymatrix and the maintained fiber volume fraction was 60%.The laminate was

    prepared in acontrolled atmosphere and compacted using a vacuum pump. A mold for the

    laminate was prepared and placed in a vacuum bagging and evacuated to 0.7 bar. Curing was

    then carried out at180 degrees for 120 min, during which the pressure was maintained at 7

    bar in an autoclave.

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    Experiment:

    The workpiece was mounted on the dynamometer which was fixed on the bed of

    a vertical machining center and the drill was fed into the workpiece. Drilling trials were

    carried out using 5 mm diameter tungsten carbide drills

    Spindle speeds were selected such a way that it suited the requirements of high

    speed machining. All the trials were conducted without the use of a coolant. The thrust force

    and torque during machining were measured using a dynamometer. The proportional charge

    output from the dynamometer was fed to a charge amplifier, thus producing a scaled voltage

    output signal proportional to the applied load in a digital form.

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    The dynamometer works on the strain gauge principle. The imbalance of the

    wheatstone bridge circuit can be attributed to the thrust force and the torque values, which

    produce a proportional voltage equal to the applied force and torque.

    The output from the dynamometer was given as input to oscilloscope to analyze

    the Force fluctuations.

    The delamination was measured by using flat bed scanner technique .The

    specimen was placed directly on the glass plate on the scanner. The drilled holes were

    scanned at a resolution of 7200 ppi and saved as a bitmap image. The delamination factor

    was measured based on the pixel density of the delaminated zone.The scanned images were

    imported into the image processing software Image J. The color images were converted into

    a binary file.

    While the delaminated zone appears in white, the undamaged area remains

    black. The threshold value for binary conversion was set by comparing the histogram of array

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    values of delaminated zone with that of the undamaged area. The pixel density of the white

    zone represents the damaged area (Ad).

    The pixel density (area) of the hole (A) was measured in the color image

    obtained by scanning. The ratio of the two pixel densities gives the delamination factor (Fd).

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    Binary Image formed

    Experimental Design

    Experiments were conducted using full factorial design (3x4x3 = 36 tests). Each experimental condition was repeated thrice to ensure consistent value.

    Spindle speed has 3 levels

    Feed rate has 4 levels

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    Analysis of variance (ANOVA)

    Analysis of variance is a standard statistical technique which is routinely used to

    analyze the experimental data. The technique does not directly analyze the data, but

    determines the percentage contribution of each factor by determining the variability

    (variance) of the data.

    Degrees of freedom (DOF)

    Degree of freedom is the measure of the amount of information that can be uniquely

    determined from the given set of data. DOF of a factor equals one less than the number of

    levels. The concept of degree of freedom can be extended to an experiment. An experiment

    with n trials and r repetitions of each trial has n*r trial runs.

    Then the total degree if freedom becomes,

    Ft =n*r-1

    Sum of squares (SS)

    The sum of squares is the measure of the deviation of the experimental data from the

    mean value of the data. Summing each squared deviation gives the total deviation. Thus,

    Where ST is the sum of squares, yi is the observed data and Y is the

    Average value of yi.

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    Variance measures the distribution of the data about the mean of the data. Since the

    data is the representative of only a part of all Possible data, DOF is used.

    Mean sum of the deviations squared

    where T is the sum of deviations from the target value, S is the mean

    sum of squares of the deviation and n is the number of trials.

    Features of ANOVA

    ANOVA is used in the analysis of comparative experiments, those in which only the

    difference in outcomes is of interest. The statistical significance of the experiment is

    determined by a ratio of two variances. This ratio is independent of several possible

    alterations to the experimental observations: Adding a constant to all observations does not

    alter significance. Multiplying all observations by a constant does not alter significance. So

    ANOVA statistical significance results are independent of constant bias and scaling errors as

    well as the units used in expressing observations. In the era of mechanical calculation it was

    common to subtract a constant from all observations (when equivalent to dropping leading

    digits) to simplify data entry. This is an example of data coding.

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    Results and Discussions

    Effect of cutting variables on thrust force

    In high speed drilling experiments the torque values were found to be less than 0.1Nm and negligible when compared to values at low speed drilling hence the thrust force is

    alone considered for analysis. The thrust force obtained for various speed and feed

    combinations during the high speed drilling of CFRP.

    It can be observed that the thrust force increases with an increase in feed owing to

    increase in uncut chip thicknessand higher impact of the fibers as the feed rate is increased.

    In addition, at higher feed rates, there is an increase in self-generated feed angle which

    significantly reduces the working clearance angle of the drill resulting in rubbing against the

    work material causing higher thrust.

    It can also be observed that the rate at which the thrust force increases is high in the

    range 0.01 mm/rev to 0.1 mm/rev that between 0.1 mm/rev and 0.3 mm/rev. Also thrust force

    was found to decrease with an increase in spindle speed because of an increase in temperature

    with Spindle speed.

    From the ANOVA calculations, it can be inferred that the thrust force is primarily

    influenced by the feed rate. The contribution rate of feed (82.82%) is greater than that of

    spindle speed (13.07%). SN ratio of the spindle speed and feed for the thrust force

    determined show that a spindle speed of 20,000 rpm and a feed of 0.01 mm/rev is optimum

    because this combination has the higher signal to noise ratio.

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    Effect of cutting variables on hole size

    The hole size obtained for various speed and feed combinations during the high

    speed drilling of CFRP are presented in Figure. It can be inferred that the diameter of the

    drilled hole lies near the expected Value (5 mm) at higher feeds. Since the feed rates are

    lesser Than the depth of cut, the self induced vibration decreases with an Increase in feed

    resulting in holes with diameter closer to nominal Diameter. At high spindle speed and low

    feed, because of frictional heating.

    The cutting temperature goes up which result in higher hole diameter.

    The diameter of the hole varied from 5.02 mm to 5.95 mm.

    The specific cutting resistance Increases at lower feeds due to smaller uncut chip thickness

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    resulting in higher shear forces which in turn increase the vibration. Italso results in larger

    hole size at lower feeds and decreases at higher feeds.

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    From the ANOVA calculations it can be inferred that the hole size is primarily

    influenced by feed rate. The contribution rate of feed (66.69%) is greater than that of spindle

    speed (16.15%).

    SN ratio of the spindle speed and feed for the hole size determined show that a

    spindle speed of 12,000 rpm and a feed of 0.30 mm/rev is optimum. If high spindle speed is

    desired for Increase in production rate, it is preferable to go for a feed rate of 0.1 mm/rev.

    Effect of cutting parameters on circularity

    The circularity measured for various spindle speed and feed combinations during

    the high speed drilling of CFRP. It can be seen that the circularity decreases with an increase

    in spindle speed, while it remains almost constant for increase in feeds. The rotational

    stability of the drill is better at higher speeds than at lower speeds. It explains the lesser

    circularity error at high speeds. A low feed rate of 0.01 mm/rev creates greater circularity.

    This could be because of ploughing and frictional heating.

    From the ANOVA calculations it can be inferred that the circularity is influenced

    solely by spindle speed (85.95%). The higher value of error (14%) could be due to theinteraction effects between spindle speed and feed. The SN ratio of the spindle speed and

    feed for the hole size determined show that a spindle speed of 20,000 rpm and a feed of 0.10

    mm/rev is optimum.

    Effect of cutting parameters on peel-up delamination

    The peel-up delamination factor obtained for various speed and feed combinations

    during the high speed drilling of CFRP are presented in Figure. It can be seen that the peel-up

    delamination

    Shows no clear pattern in relation to feed. Also the delaminations at lower speeds

    were much lower than those obtained at higher speeds.

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    From the ANOVA calculations, it can be inferred that the peel up delamination is not

    influenced by spindle speed or feed in the selected range.

    Effect of cutting parameters on push-out delamination:

    The push-out delamination factor obtained for various speed and feed

    combinations during the high speed drilling of CFRP are presented in Figure. It can be

    observed that the push-out delamination factor increases with an increase in feed rate and

    spindle speed. As feed rate is increased, the thrust force also increases.

    Velayudham and Krishnamurthy observe that the delamination ratio increases

    with an increase in thrust force. Similar results were obtained in these experiments as well. In

    the experiments,the delamination ratio increased with an increase in spindle speed and feed

    rate. This could be because of smaller thickness of the CFRP laminates. At high spindle

    speed the delamination may be initiated at lower forces because the heating of matrix

    resulting

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    in lesser stiffness.

    From the ANOVA calculations it can be inferred that the push-out

    delamination factor is primarily influenced by feed rate. The contribution rate of feed

    (51.40%) is greater than that of spindle speed (35.42%). The higher value of error (13.18%)

    could be because of the interaction effects between spindle speed and feed. The SN ratio of

    the spindle speed and feed for the hole size show that a spindle speed of 12,000 rpm and a

    feed of 0.01 mm/rev is optimum.

    Multiple objective optimization

    Since each of the above parameters give conflicting solutions, it is important to

    arrive at a optimized solution. This is achieved by developing a normalized objective

    function that includes all the hole quality parameters. The optimized value provides a

    reasonable compromise without placing undue burden on any of the hole quality parameters.

    A multivariable linear regression model wasused to predict the hole quality parameters which

    are dependenton spindle speed (N) and feed (f).

    This model represents the dependent parameter y (observed response) as a function

    of the main effects of factors (xi), their interaction (xixj), and their quadratic components

    (X2i). The equations for the individual output parameters were obtained through regression

    analysis, and the same are presented. All the hole quality parameters namely diameter,

    circularity and delamination factors need to be optimized simultaneously which necessitates

    the evaluation of solution alternatives according to multiple criteria.

    The first step in this optimization scheme is the formulation of an objective

    function after normalization. The normalization of the objective function of a parameter was

    carried out by imposing constraints ai; desired and ai;max over the measured value ai [19].

    The range of values obtained varied between zero and one for each parameter. The multi-

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    objective function (F) consists of the sum of each objective (Zi) using different weight

    coefficients (hi) for each criteria.

    The weighting factors are assigned such that their sum was always equal to one. The

    weighting factors were assigned to each parameter based on its relative importance [8,11]

    which in turn depends on the deviation of the parameter from the desired value.

    Using the regression equations and their corresponding weighting factors in the above

    equations, the multiple objective function was obtained as:

    The obtained equation was used to plot the objective function within the required

    spindle speed and feed range (namely 12,00020,000 rpm, 0.010.30 mm/rev) in MATLAB

    R2010a. The contour plot is shown. The genetic algorithm technique was used to determine

    the operating condition form the desired working zone. The genetic algorithm tool in

    MATLAB R2010a was

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    Executed by varying the population size while retaining selection rules, crossover

    rules and mutation rules as constant to obtain the optimized operating condition. The

    convergence of computed values from continuous iterations was obtained at a population size

    of 1000. The optimized operating condition was observed to be 12,000 rpm at 0.137 mm/rev.

    Confirmation tests were repeated five times and the hole quality parameters measured along

    with the expected values from the fitted regression model are presented.

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    Confirmatory experiments

    Tool life investigation

    The tool life investigation experiments were carried out at the optimized spindlespeed and feed rate. A series of 150 holes were drilled for studying the tool life and the hole

    quality parameters were analyzed as described earlier. Of the hole quality parameters,

    diameter and circularity did not show much deviation. Nevertheless from the delamination

    factors both peel-up and push-out significant results were extracted. Figure shows the

    variation of the delamination factors against the number of holes drilled.

    It can be observed that there is a steady increase in the delamination factor with the

    number of holes drilled, but the rate of increase was not so significant in the initial stages.

    The peel-up delamination was lesser compared to push-out delamination throughout the tool

    life study.

    From the first hole to the 30th hole, no significant delamination could be observed.

    At the 120th hole the peel-up delamination factor was 1.015 and push-out delamination factor

    was 1.045 and then increased rapidly thereafter.

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    4. Future Enhancements

    The major problems associated with high speed machining are:

    Minute errors may lead to big consequences Good work and process planning necessary Need for expensive and special machine toolsThese problems should be rectified in the future for taking High speed drilling to another

    level.

    The CFRP materials is having a huge importance in the modern world because of its

    properties .It is stiffer than Titanium and stronger than steel.It is having high strength to

    weight ratio.

    Carbon fibers which are commonly used to reduce the weight of structural components

    on the aircraft result in improved fuel economy, reduced emissions & increased load carrying

    capacity of the aircraft.

    In Boeing 787, more than 50% of the structural weight is made of composites.

    Although composites are made to near net shape assembly requires the drilling of large

    number of holes.So the major problems associated with High speed drilling should be

    rectified.

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    5. Conclusion

    The following conclusions can be drawn from the experimental results of effect of cutting

    parameters on the cutting forces and hole quality.

    Feed rate has a greater influence on thrust force, push-out delamination and diameter ofthe hole. While lower feed rates reduce thrust force and push-out delamination, higher

    feed rates result in holes closer to the nominal diameter.

    Spindle speed is one of the major determinants of the circularity of the drilled hole. Bestresults were obtained at 20,000 rpm.

    Neither spindle speed nor feed rate had any visible influence on peel-up delamination,with in the tested range.

    The optimized spindle speed and feed rate for drilling thin CFRP laminates at highspeeds were found to be 12,000 rpm and 0.137 mm/rev respectively.

    In optimized cutting conditions, no significant tool wear was found till 150 holes.Whereas cutting edge rounding was seen. No significant delamination could be observed

    till 30 holes. There was a steady increase in the delamination factor after 120 holes. The

    peel-up delamination was lesser when compared to push-out delamination throughout the

    study of tool life.

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    6.Bibliography

    [1].Vijayan Krishnaraj a,, A. Prabukarthi a, Arun Ramanathan a, N. Elanghovan a, M.

    Senthil Kumar a, Redouane Zitoune b, J.P. Davim,Optimization of machining parameters at

    high speed drilling of carbon fibre reinforced plastic (CFRP) laminates, University of Paul

    Sabatier, Toulouse 31077, France University of Aveiro, Portugal 1791-1799,2012

    [2].Ho-Cheng H, Dharan CKH. Delamination during drilling of composite laminates. J Eng

    Ind, ASME 1990;112:2369

    [3]. Zitoune Redouane, Krishnaraj Vijayan, Collombet Francis. Study of drilling of

    composite material and aluminium stack. Compos Struct 2010;92:124655.