Composite A. Composite B Z X. More Info at Open Access Database by L. Ibos*, J. Dumoulin** and V. Feuillet*

Similar documents
Dynamic heating control by infrared thermography of prepreg thermoplastic CFRP designed for reinforced concrete strengthening

Evaluation of FRP gluing on concrete structures by active infrared thermography

by M. Susa *, H. Benitez**, C. Ibarra-Castanedo *, H. Loaiza**, A. Bendada, X. Maldague*

DIAGNOSIS OF INSULATED BUILDING WALLS USING PASSIVE INFRARED THERMOGRAPHY AND NUMERICAL SIMULATIONS

In situ quantitative diagnosis of insulated building walls using passive infrared thermography

Reduced inspection time in active thermographic non-destructive testing of lowthermal-conductivity

In-situ emissivity measurement for land surface temperature determination

Defect detection with thermal imaging and phase shifting methods in lock-in thermography

Detection of Subsurface Defects using Active Infrared Thermography

Aspect Ratio Considerations for Flat Bottom Hole Defects in Active Thermography

On the FPA infrared camera transfer function calculation

MODELING OF A DEFECT OF DELAMINATION TYPE IN A CHIMNEY

Defect detection in fiberglass reinforced epoxi composite pipes reproducing field inspection conditions

INFRARED THERMOGRAPHIC NONDESTRUCTIVE TESTING OF COMPOSITE MATERIALS: DETERMINING THERMAL PROPERTIES, DETECTING AND CHARACTERIZING HIDDEN DEFECTS

Active Infrared Thermography for Non-Destructive Control for Detection of Defects in Asphalt Pavements

Inspection analyses on non-cured samples by lock-in and PPT thermography

Analysis algorithm for surface crack detection by thermography with UV light excitation

Ultrasonic and optical stimulation in IR thermographic NDT of impact damage in carbon composites

Induction thermography on CFRP and the role of anisotropy

NON-DESTRUCTIVE EVALUATION OF CONCRETE STRUCTURES BY NON-STATIONARY THERMAL WAVE IMAGING. Ropar, Nangal Road, Rupnagar, Punjab , India

J. Dumoulin a *, L. Ibos b, C. Ibarra-Castanedo c, A. Mazioud b, M. Marchetti d, X. Maldague c and A. Bendada c

EGU Land surface temperature measurement with an infrared camera, in-situ Emissivity measurement

Simultaneous front and rear faces flash characterization method for thin cylindrical multilayered composites.

LAMB WAVES GENERATION USING A TRANSDUCER EMBEDDED IN A COMPOSITE PLATE

Pulsed Thermography: evaluation and quantitative analysis of defects through different post-processing algorithms

Measurement of Thermal Diffusivity by Lock-in Thermography

Detectability of pulsed infrared thermography of delaminations in carbon fiber composites

Surface crack detection using infrared thermography and ultraviolet excitation

Ultrasonic Monitoring and Evaluation of Very High Cycle Fatigue of Carbon Fiber Reinforced Plastics

Active Infrared Thermography applied to detection and characterization of non emergent defects on asphalt pavement

Evaluation of transverse elastic properties of fibers used in composite materials by laser resonant ultrasound spectroscopy

CHARACTERIZING CRACKS WITH ACTIVE THERMOGRAPHY

ND TESTING ADVANCES ON CFRP WITH ULTRASONIC AND THERMAL TECHNIQUES

ACTIVE THERMOGRAPHY FOR MATERIALS NON-DESTRUCTIVE TESTING

Numerical Modeling and Comparison of Flash Thermographic Response

Inductive thermography nondestructive testing applied to carbon composite materials: multiphysics and multiscale modeling

Effect of object-to-camera distance on temperature and spatial resolution of a Thermal imaging system FLIR SC 5000

Non-Destructive Inspection of Brazed Joint by Pulsed Phase Thermography

Time-Series Based Thermography on Concrete Block Void Detection Chongsheng CHENG 1 and Zhigang SHEN 2

QUADRATIC FREQUENCY MODULATED THERMAL WAVE IMAGING FOR NON-DESTRUCTIVE TESTING. Ropar, Nangal Road, Rupnagar, Punjab , India

Quantification by Signal to Noise Ratio of Active Infrared Thermography Data Processing Techniques

Inverse Heat Flux Evaluation using Conjugate Gradient Methods from Infrared Imaging

Active thermography evaluation of bonding defects in adhered ceramic tiling: thermal stimulation conditions and data analysis methods assessment

Eddy Current Modeling in Composite Materials

MEASUREMENT OF THERMAL STRESS AND PREDICTION OF FATIGUE FOR STS USING LOCK-IN THERMOGRAPHY

Pulse Compression with Gaussian Weighted Chirp Modulated Excitation for Infrared Thermal Wave Imaging

* Institut für Kunststofftechnik, University of Stuttgart, Pfaffenwaldring 32, Stuttgart, Germany,

Available online at ScienceDirect. Physics Procedia 63 (2015 ) 54 60

NON-DESTRUCTIVE EVALUATION OF COMPOSITES MATERIALS BY PULSED-PHASE THERMOGRAPHY: DEPTH INVERSION

Quantitative Defect Reconstruction in Active Thermography for Fiber-Reinforced Composites

Infrared vision applications for the nondestructive testing of materials. Outline. Clemente Ibarra Castanedo. 1. Active infrared thermography

Pulsed IR Thermography for Package Applications

Thermography in manufacturing: nondestructive evaluation of ultrasonic spot welds of automotive battery pack

Investigation of transient heat transfer in composite walls using carbon/epoxy composites as an example

SUB-SURFACE DAMAGE LOCATION AND IDENTIFICATION USING INFRA-RED TECHNIQUES

Analysis of Thermal Stress in Fatigue Fracture Specimen using Lock-in Thermography

Quantitative Defect Reconstruction in Active Thermography for Fiber-Reinforced Composites

Thermal model of multilayer structure for NDT thermal parameters evaluation

Robotic Eddy Current Thermography: Simulations and experiments

Extending Flash Thermography Method for Thermal Diffusivity Measurements using Finite Pulse Widths

Early detection of thermal contrast in pulsed stimulated thermography

Finite Element Modeling of Ultrasonic Transducers for Polymer Characterization

Estimation of trial parameters for Pulse Phase Thermography with low power heat sources

Key words: NDT, Pulse thermography, Surface painting, Numerical modeling, Thermal contrast

Thermal behavior study of the mold surface in HPDC process by infrared thermography and comparison with simulation

2. Theoretical Model: Wave propagation in anisotropic elastic materials

LECTURE NO. 4-5 INTRODUCTION ULTRASONIC * PULSE VELOCITY METHODS

Analysis of Thermal Diffusivity of Metals using Lock-in Thermography

THE INFLUENCE OF DELAMINATION OPENING IN CARBON FIBRE/EPOXY LAMINATES ON SIGNAL CHARACTERISTICS OF PULSE PHASE THERMOGRAPHY

KEY NOTE TALK 2: NON-DESTRUCTIVE TESTING FOR COMPOSITE MATERIALS FROM LABORATORY FEASIBILITY STUDIES TO INDUSTRIAL PROOFED SOLUTIONS

Defect detection in ceramic materials by quantitative infrared thermography. by G. M. Revel* and S.

Developments in Visual and Other NDE Methods II

Defect Detection Capability of Pulsed Transient Thermography

Active Thermography for Quantitative NDT of CFRP Components

NON DESTRUCTIVE EVALUATION OF ABSORBING MATERIALS USING MICROWAVE STIMULATED INFRARED 1HERMOGRAPHY. P.Levesque, A.Deom and D.

ULTRASONIC MEASUREMENT OF IN-PLANE MODULI OF PULTRUDED COMPOSITES

Cure Monitoring and SHM of Carbon Fiber Reinforced Polymer Part I : Impedance Analysis and Multiphysic Sensitivity

Comparison of some thermographic techniques applied to thermal properties characterization of porous materials

EXPERIMENTAL MODELLING OF IR NONLINEAR PHOTOTHERMAL RADIOMETRY IN CARBON/EPOXY COMPOSITE MATERIALS

Heating Methods and Detection Limits for Infrared Thermography Inspection of Fiber-Reinforced Polymer Composites

Nondestructive Evaluation of Composite Railroad Ties and Bridge Components Using Infrared Thermography

Emissivity, Reflectivity and Transmissivity of Semitransparent Fibre Reinforced Plastic Composites

ABSTRACT. In this dissertation the finite element (FE) method is applied to simulate the results of

Electro-Thermal Modeling of Thermal Wave Imaging of Carbon Fibre Composites. Krishnendu Chatterjee 1,a and Suneet Tuli 1,b

Unsteady-state lock-in thermography Application to shunts in solar cells

Detection of delamination in thermoplastic CFRP weld parts using eddy current testing and induction heating

Modeling of Magnetic Flux Leakage. Carbon Steel Plates

Liquid Crystals IAM-CHOON 1(1100 .,4 WILEY 2007 WILEY-INTERSCIENCE A JOHN WILEY & SONS, INC., PUBLICATION. 'i; Second Edition. n z

INTERNAL STRAIN MEASUREMENTS IN CFRP PLATES SUBJECTED TO IMPACT LOAD USING FBG SENSORS

Finite element simulation of the critically refracted longitudinal wave in a solid medium

Modelling of pulse thermography for defect detection in aluminium structures: Assessment on reflection and transmission measurement

Detection and Survey of Interface Defects Within a Pavement Structure with Ultrasonic Pulse Echo

ULTRASONIC ATTENUATION RESULTS OF THERMOPLASTIC RESIN COMPOSITES UNDERGOING THERMAL AND FATIGUE LOADING

Available online at ScienceDirect. Procedia Engineering 188 (2017 )

Feature Identification on Vibration Response of Concrete Plates with Various Poisson s Ratios

3D Finite Element Analysis of Flat and Bent Plates for Crack Detection using Tone Burst Eddy Current Thermography

Development of a New NDT Method Using Thermography for Composite Inspection on Aircraft with Portable Military Thermal Imager

Inverse Heat Conduction Approach for Infrared Non-destructive Testing of Single and Multi-Layer Materials

Article Experimental Evaluation of Pulsed Thermography, Lock-in Thermography and Vibrothermography on Foreign Object Defect (FOD) in CFRP

IN-PLANE THERMAL CONDUCTIVITY OF FLAT PLATES UTILIZING THE FOURIER HEAT CONDUCTION LAW

Transcription:

More Info at Open Access Database www.ndt.net/?id=17769 Determination of anisotropic properties of carbon fiber composites for civil engineering applications using infrared thermography with periodic excitation Abstract by L. Ibos*, J. Dumoulin** and V. Feuillet* * Univ. Paris-Est, CERTES/OSU Efluve, F-941 Créteil, France, ibos@u-pec.fr, vincent.feuillet@u-pec.fr ** LUNAM Université, IFSTTAR, COSYS/SII, F-4434, Bouguenais, France, jean.dumoulin@ifsttar.fr This papers presents the development of a new device for the determination of thermal conductivity and diffusivity of anisotropic composite plates. The excitation signal is provided through a thermoelectric cooler and does not require any optical source like a laser source for instance. Infrared thermography is used to follow apparent surface temperature evolution with time. Experiments were carried out two composite sample systems (with two different fiber orientations). Result analysis is presented and discussed. 1. Introduction Carbon fiber composites are extensively used in many engineering fields, e.g. for the reinforcement of civil engineering structures [1]. These materials have highly anisotropic properties due to the fact that carbon fibers are generally oriented in the plane of composites plates or tissues and can be glued with by using thermosettings or thermoplastics binders. Active infrared thermography is already used for in-situ non-destructive testing of composites [2-3]. Thus, thermophysical properties of these materials are to be known precisely, for instance to estimate properties of defects detected by an IR thermography inspection [4]. The paper deals with the development of a new set-up to determine anisotropic thermal properties of this kind of material, particularly of longitudinal thermal diffusivity and conductivity. 2. Materials and Methods 2.1. Samples investigated All samples investigated in this study are made of carbon fiber composites. Two different materials were used. A list of samples and materials is presented in Table 1. Material A is a commercial pultruded composite plate (Sika CarboDur S112) from Sika group. This sample is composed of epoxy resin reinforced with uniaxial oriented carbon fibers. Material B is a thermoplastic binder reinforced with woven carbon fibers, from Porcher Industries. The studied samples ratio of fibers in X and Y direction is equal to 3:1. Thus, two samples were cut along X and Y directions in order to study the influence of fiber density on thermophysical properties. Finally, for material B only, two sample thicknesses were considered. For the thicker sample, we considered only properties in X direction. A sketch of the arrangement of fibers in both materials A and B is presented in figure 1. Composite A Composite B X Z X Fig. 1. Schematic representation of carbon fibers arrangement in materials A and B and directions of measurement Y

Table 1. Carbon fiber reinforced composites samples studied Material Composition Uniaxial pultruded plate carbon fibers / Epoxy resin Bidirectional woven plate carbon fibers / thermoplastic Material Ref / Fibers direction A / X B / X B / X B / Y Sample Thickness (mm) 1.36 1.8 2. 1.8 Material density (kg/m 3 ) 161 14 142 141 2.2. Experimental set-up and raw measurements The experimental device developed is presented in figure 2. It was based on a preceding set-up devoted to emissivity measurement and estimation of thermal conductivity and diffusivity of isotropic materials (see refs [,6] for details). The existing set-up and measurement protocol were modified in order to be able to determine in-plane thermal conductivity and diffusivity of carbon fibers composite samples. The sample holder is composed of a 1 mm-thick Duralumin plate fixed onto a Thermoelectric cooler. The surface of the duralumin plate is of 44 mm x 44 mm. Composite plate samples can be fixed onto the sample holder. A thermally conductive grease can be used if necessary to reduce the thermal contact resistance between the Duralumin plate (sample holder surface) and the material to characterize. Sample plates are fixed onto the sample holder by using four screws. All samples used in this study have a length ranging between 1 and 2 mm, a width of 4 mm and a thickness between ranging 1 and 3 mm. A sinusoidal current is imposed throughout the thermoelectric cooler in order to obtain a temperature modulation of the sample holder. To reduce experiment duration, a sum of five sinusoidal signals at five frequencies is used as excitation signal. Frequency values fi are multiples of the fundamental frequency f with fi = 2 i f. Sample holder temperature is measured using a K-type thermocouple inserted in the center of the Duralumin plate. As we will see later, this temperature is not used for the determination of thermophysical properties in X and Y directions. The temperature of the composite plate is monitored using a long wave cooled FLIR SC73 infrared camera in windowing mode. Excitation device, temperature measurements and image recordings are synchronised using a LabView application. Figure 3 shows some infrared images of the sample A (pultruded composite plate) during measurements. We can distinguish the part in contact with the sample holder and the left part of the composite plate that acts like a fin. For increase of the spatial resolution and symmetry reasons, only the left part of the composite plate was observed by the IR camera. Temperature values plotted are apparent temperatures. Indeed, the exact value of the absolute temperature and even of temperature variations are not required. This will be shown in next section. h q x Thermoelectric cooler T 1 q L y x z IR Camera Fig. 2. View of the experimental set-up 2.3. Heat transfer model and determination of in-plane thermal conductivity and diffusivity Heat transfer inside the composite plate is considered 1D in x-direction since the plate can be considered as a semi-infinite fin in this direction (Biot number is low in z-direction and infrared measurements show very low change of

temperature according to y-direction). The solution of transient heat equation in periodic steady state and Laplace space is then given as follows [7]: ~ ~ qx q exp x with hm p 2 (1) kxs ax where ax is the thermal diffusivity in the x-direction, kx its thermal conductivity, h the global heat transfer coefficient, S the fin section and m its perimeter. This can be re-written in the form: ~ q ~ q x M exp j with lnm M x x (2) The parameters M and are obtained by linear regression by plotting ln M and according to x for a given pulsation value. This allows obtaining: ax h kx 2M S 2 2 M m (3) For each pulsation, the in-plane thermal diffusivity ax value can be directly computed from the slope values M and. However, the value of thermal conductivity kx can be determined only if the heat exchange coefficient h value is known. This could be done by performing an independent experiment in the same conditions using a reference material and by considering that this parameter value does not depend on sample properties if experimental conditions and sample dimensions are similar. Such experiments are in progress, but results will not be presented in this paper. Equations (2) and (3) show that the important information required for samples characterization are here the attenuation of temperature variations and the temperature phase shift along the sample plate. Sample temperature values are not required and thus the knowledge of the material emissivity is not needed. Y (Pixels) Y (Pixels) Y (Pixels) Y (Pixels) T in for t = 64s 2. 2 24. 1 24 1 23. 1 1 2 2 3 T in for t = 8s 3 1 1 2 1 1 2 2 3 T in for t = 96s 28 26 1 1 24 1 1 2 2 3 T in for t = 112s 28 1 1 24 1 1 2 2 3 X (Pixels) Fig. 3. View of some thermal images at different excitation times for sample A 26 Sample holder zone

3. Results 3.1. Characterization of composite including carbon fibers with unidirectional orientation 3.1.1. Data processing The first numerical treatment performed is to compute an average temperature value along y-axis in the center part of the sample plate at each measurement time step. This allows obtaining a map presented in figure 4, where the temperature is plotted as a function of time t and position L. The evolution of temperature at positions labelled q and q1 is presented in figure (left part). For each position, a Fast Fourier Transform of the temperature vector is performed. The modulus of the FFT obtained for q and q1 positions is presented in Figure (right part). q position corresponds to the reference position, i.e. position of maximum of amplitude and null phase. The value of the FFT at each excitation frequency allows then computing the attenuation and phase shift of temperature variations. An example of temperature attenuation and phase shit as a function of position L is presented in Figure 6, for a sample of material A. A simple linear regression performed for each curve corresponding to one particular excitation frequency allows obtaining slope values M and. Finally, the use of Equation (3) allows computing values of in-plane thermal diffusivity and ratio between heat exchange coefficient and in-plane thermal conductivity. 32 3 L (mm) 1 28 26 q 1 q 1 2 Sample holder zone 1 1 2 2 3 3 4 4 t (s) Fig. 4. Evolution of measured temperature along a sample of material A during an experiment with an excitation period of 96s (total of five consecutive periods) 24 22 3.1.2. Results Estimations results obtained for composite A are reported in Table 2 for an experiment performed using an excitation signal period of 64s and a total amount of periods. Thermal diffusivity obtained is typical for this kind of composite and is higher than the value obtained in the transverse direction of the composite plate (az =.2 mm 2 /s) using an independent characterization method [8]. The dispersion of thermal diffusivity values is lower than 9%. However, a more important dispersion is obtained for the ratio h/k (2%). In order to check the reproducibility of measurements, the experiment was repeated after removing and replacing the sample (measurement N 2). Besides, another experiment with different excitation signal frequencies was also performed (measurement N 3). Estimated values of ax and h/kx are presented in Table 3. Results show a quite good reproducibility of results. Moreover, as expected, increasing the excitation signal period tends to reduce the dispersion of results. Table 2. Estimations results for material A (X direction) for an excitation signal period of 64s Frequency (mhz) 1.6 3.12 6.2 12. 2. Mean values (standard deviation) Longitudinal diffusivity ax (mm 2 /s).7 4.9 4.18 4.29 4.31 4. (.4) Ratio h/kx (m -1 ) 1.6 1.6 1.63 2.13 2.33 1.8 (.36)

Table 3. Comparison of properties obtained from several measurements for material A (X direction) Measurement N 1 2 # 3 # Excitation signal period (s) 64 64 96 Number of periods Mean values Longitudinal diffusivity ax (mm 2 /s) 4. (.4) 4.36 (.3) 4.4 (.) 4.4 Ratio h/kx (m -1 ) 1.8 (.36) 2.6 (.84) 1.7 (.44) 1.89 # measurements performed after removing and replacing the sample 1..4.4.3.3 I = 217 / Position = -16.3mm Position q 1 T () -. -1-1. -2 1 2 3 4 t (s) 4 2 T ().2.2.1.1. 1 1 2 2 f (mhz) I = 242 / Position = mm 1. Position q T () -2 T () 1. -4-6 1 2 3 4 t (s) 1 1 2 2 f (mhz) Fig.. Two examples of temperature variations at two positions q1 (top) and q (bottom) indicated in Figure 4 (sample of material A); raw data (left); Fast Fourier Transform (right) 3.2. Effects of a bidirectional orientation of fibers and of sample thickness The effect of sample thickness and of a bidirectional orientation of fibers was investigated using material B. Results obtained for the three samples characterized are presented in Table 4. Results show that the thickness of sample does not have any significant influence on the measured values of the thermal diffusivity. For the ratio h/k, highly dispersed values are obtained with this material compared to material A. It should be verified if this could be linked to the fact that material B is less conducting than material A. The ratio of thermal diffusivity values in X and Y directions (ax/ay) is almost equal to 3. This value corresponds to the ratio between fibers density along X and Y direction. If we compute the ratio of thermal conductivity in X and Y directions (kx/ky), by considering that h value is constant from one experiment to another, we obtain a value of 2.7 which is also close to the expected value of 3.

The thermal diffusivity in Z direction was measured by an independent method [8]. A value of about. mm 2 /s was found. As observed for material A and as expected, the in-plane thermal diffusivity is higher than the transverse one: here diffusivity ratios of ax/az = 6 and ay/az = 2 are observed.. Module Attenuation 2 Phase shift log M -. -1-1. 1.6mHz -8 2mHz 3.12mHz -2 2mHz -1 6.2mHz 12. 6.2 3.12mHz 12.mHz -2. -12 1 2 3 4 1 2 3 4 L (mm) L (mm) Fig. 6. Comparison of experimental (symbols) and theoretical (lines) module attenuation and phase shift along the composite fin position L; plots for five excitation frequencies (sample of material A) (deg) -2-4 -6 1.6mHz Table 4. Comparison of properties obtained from several samples of material B Material / Direction B / X B / X B / Y Thickness (mm) 1.8 2. 1.8 Excitation signal period (s) 64 124 124 Number of periods Longitudinal diffusivity ax/y (mm 2 /s) 3.2 (.16) 2.98 (.1) 1. (.3) Ratio h/kx/y (m -1 ) 4.4 (2.9) 3.4 (2.3) 11. (.3) 4. Conclusion This work was devoted to the development of a new device for the determination of thermal conductivity and diffusivity of anisotropic composite plates. The excitation signal is provided through a thermoelectric cooler and does not require any optical source like a laser source for instance. The in-plane thermal diffusivity can be measured without an exact knowledge of sample emissivity. Sample plates of thicknesses up to 2. mm can be characterized. Determination of the thermal conductivity requires a calibration of the device with a reference sample. Forthcoming work will first concern the validation of the calibration procedure for the determination of the thermal conductivity, the characterization of other types of anisotropic materials, the determination of the measurement limits of the method. A particular attention will be paid to the evaluation of uncertainties of measured values of thermal conductivity and diffusivity and to the possible ways to reduce measurement uncertainties. Finally, a possible determination of thermophysical properties in Z direction (i.e. perpendicular to the sample plate) is also investigated. Nevertheless, in that case, emissivity value of the sample will be required. REFERENCES [1] ACI Committee 44.2R2-8, Guide for the Design and Construction of Externally Bonded Systems for Strengthening Concrete Structures, American Concrete Institute, Michigan, U.S.A., 28. [2] Dumoulin J., Taillade F., Aubagnac Ch., Benzarti K. and Quiertant M., Infrared Thermography for the Nondestructive Inspection of CFRP Strenghtening, Concrete International, vol. 33, issue 4, April 211, pp. 4-8. [3] Crinière A., Dumoulin J., Ibarra-Castanedo C. and Maldague X., Inverse model for defect characterization of externally glued CFRP on reinforced concrete structures: Comparative study of square pulsed and pulsed

thermography, Quantitative InfraRed Thermography Journal, Taylor & Francis Editor, 214. DOI: 1.18/17686733.214.89712. [4] Feuillet V., Ibos L., Fois M., Dumoulin J., Candau Y., "Defect detection and characterization in composite materials using square pulse thermography coupled with singular value decomposition analysis and thermal quadrupole modeling", NDT & E International, vol. 1, pp. 8 67, 212 [] Datcu S., Ibos L., Candau Y., Mattéï S., Improvement of building surface temperature measurements by infrared thermography. Infrared Physics and Technology, vol. 46, pp. 41-467, 2. [6] Agoudjil B.,.Datcu S., Boudenne A., Ibos L., Candau Y., Parametric estimation of thermoradiative properties of materials based on harmonic excitation. Review of Scientific Instruments, vol. 77, pp. 316-1 to 9, 26. [7] Degiovanni A., Transmission de l énergie thermique conduction, Techniques de l ingénieur, BE 8 2, pp. 1-2, 1999. [8] Boudenne A., Ibos L., Géhin E., Candau Y., A simultaneous characterisation of thermal conductivity and diffusivity of polymer materials by a periodic method, Journal of Physics D : Applied Physics, vol. 37(1), pp. 132-139, 24