ARTICLE IN PRESS Ultramicroscopy 107 (2007) 245–253 www.elsevier.com/locate/ultramic Energy dissipation and dynamic response of an amplitude-modulation atomic-force microscopy subjected to a tip-sample viscous force Shueei Muh Lin Department of Mechanical Engineering, Kun Shan University, Tainan, Taiwan 710-03, Republic of China Received 10 February 2006; received in revised form 2 August 2006; accepted 2 August 2006 Abstract In a common environment of atomic force microscopy (AFM), a damping force occurs between a tip and a sample. The influence of damping on the dynamic response of a cantilever must be significant. Moreover, accurate theory is very helpful for the interpretation of a sample’s topography and properties. In this study, the effects of damping and nonlinear interatomic tip–sample forces on the dynamic response of an amplitude-formulation AFM are investigated. The damping force is simulated by using the conventional Kelvin–Voigt damping model. The interatomic tip–sample force is the attractive van der Waals force. For consistance with real measurement of a cantilever, the mathematical equations of the beam theory of an AM-AFM are built and its analytical solution is derived. Moreover, an AFM system is also simplified into a mass–spring-damper model. Its exact solution is simple and intuitive. Several relations among the damping ratio, the response ratio, the frequency shift, the energy dissipation and the Q-factor are revealed. It is found that the resonant frequencies and the phase angles determined by the two models are almost same. Significant differences in the resonant quality factors and the response ratios determined by using the two models are also found. Finally, the influences of the variations of several parameters on the error of measuring a sample’s topography are investigated. r 2006 Elsevier B.V. All rights reserved. Keywords: AFM; AM; Energy dissipation 1. Introduction Atomic force microscopy (AFM) has been widely developed as a powerful technique for obtaining atomicscale images and the material surface properties [1,2]. For example, AFM is used to scan DNA, proteins and polymers in air or liquids [2]. When a soft sample such as DNA, protein and polymer is scanned, there exists a damping force between a cantilever tip and a sample [3–16]. For studying the morphologies and nanostructures of samples, the energy dissipation, the frequency shift and the phase angle of an AFM subjected to a damping force must be investigated. Moreover, an accurate analysis can improve greatly the studies of surface image, interaction energies and interaction forces. In general, dynamic behavior of a AFM is simulated by using the beam theory [10,12,13,17–21] and the effective Tel.: +866 62050496; fax: +866 62050509. E-mail address: sm.lin@msa.hinet.net. 0304-3991/$ - see front matter r 2006 Elsevier B.V. All rights reserved. doi:10.1016/j.ultramic.2006.08.001 spring–mass-damper model [4–11,14–16,22]. The elementary beam theory is commonly known as the Euler–Bernoulli beam theory. A large slender ratio and a small deformation are the assumptions of the Euler–Bernoulli theory. Generally, the Euler–Bernoulli beam theory is suitable for the AFM probe. It is well known that if the beam theory is used to simulate a vibrating motion of a AFM, the equation of motion is a partial differential equation. Moreover, in a real measurement, the tip–sample interacting force is nonlinear. Obviously, the mathematical problem involved of the two conditions is very difficult to solve so that some approximated methods, such as (1) the force gradient method [10,12,13] and (2) the mode superposition method [19,20], are proposed. Firstly, if the tip–sample interacting force is described by using the force gradient method, the nonlinear tip–sample force is replaced by a linearized one. Therefore, the solution of the simplified problem can be derived by using a conventional method. However, the force gradient method has been verified to result in inaccurate results [17]. Secondly, it is well known ARTICLE IN PRESS 246 S.M. Lin / Ultramicroscopy 107 (2007) 245–253 that the mode superposition method is suitable only for a linear system with a proportional damping. In other words, the mode superposition method cannot be used to investigate arbitrary tip–sample damping force. Alternatively, the cantilever is usually approximated by an effective spring–mass-damper model. The equation of motion of an spring–mass-damper model is an ordinary differential equation which is easily solved. However, because an effective spring–mass-damper model has one degree freedom, only the first mode can be commonly derived. It should be noted that according to the fundamental natural frequency, an effective spring constant or an effective mass of an effective spring–massdamper model is derived. Therefore, the model can result in accurate results only for some special conditions. Rodriguez and Garcia [20] found that simulation based on a mass–spring-damper model was suitable to describe a cantilever tip motion with relatively high Q factor. So far, due to the complexity of the beam theory subjected to the van der Waals and a viscous forces no analytical solution of the system has been proposed. In this study, an analytical solution of the dynamic response of an AM-AFM in the Bernolli–Euler beam theory is derived. Because the mass–spring-damper model is simple and helpful for interpreting the morphologies and nanostructures of a sample, the exact solution of the mass–spring-damper system is also derived here. Moreover, the assessment of the two models is made. The effects of several parameters on the energy dissipation, the frequency shift and the response ratio are investigated. viscous and a nonlinear interatomic van der Waals forces between the tip and the sample are considered. Nonuniform cross-section of the beam is considered. The material of beam is homogenous. In terms of the following dimensionless quantities, 2. Damped beams at x ¼ 1 In this study, a cantilever is excitated harmonically by a piezoelectric shaker at the root end, as shown in Fig. 1. A 3 bðxÞ ¼ IðxÞ Ið0Þ ; qffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi 1 c̄t ¼ ct L EIð0ÞrAð0Þ AH RL cv ¼ EIð0ÞL 3 ; 0 D̄ ¼ f v ¼ cv2 m ¼ rðxÞAðxÞ rð0ÞAð0Þ ; mt m̄t ¼ rð0ÞAð0ÞL ; qffiffiffiffiffiffiffiffiffi o ¼ OL2 rAð0Þ EIð0Þ x ¼ Lx ; 6D̄ D L0 wðx; tÞ ¼ WLðx;tÞ ; 0 qffiffiffiffiffiffiffiffiffi EIð0Þ t ¼ Lt2 rAð0Þ (1) the dimensionless governing differential equation of the system is [17,23] q2 q2 w q2 w bðxÞ ¼ 0. þ mðxÞ qt2 qx2 qx2 (2) The associated boundary conditions are: at x ¼ 0 w ¼ A0 cos ot. qw ¼ 0, qx q2 w ¼ 0, qx2 Fig. 1. Geometry and coordinate system of a microprobe. ð3Þ (4) ð5Þ ARTICLE IN PRESS S.M. Lin / Ultramicroscopy 107 (2007) 245–253 q q2 w q2 w qw bðxÞ 2 m̄t 2 c̄t ¼ f v ðtÞ, qx qt qt qx 2 2 d d W̄ c d d W̄ s b b cos ot þ sin ot dx dx dx2 dx2 þ m̄t o2 W̄ c cos ot þ W̄ s sin ot þ c̄t o W̄ c sin ot þ W̄ s cos ot ¼ f~v , (6) where A is the cross-sectional area of the beam, AH the Hamaker constant, A0 the amplitude of excitation, ct the interacting viscous coefficient, D the tip–surface distance, E the Young’s modulus, fv the dimensionless van der Waals force [9], I the area moment of inertia, L the length of the beam, and L0 the characteristic length. A small value of L0 is introduced to avoid numerical transaction error. mt is the tip mass, R the tip radius, t the time variable, W the flexural displacement, x the coordinate along the beam, r the mass density per unit volume and O the frequency of excitation. 3. Solution method 3.1. Characteristic governing equations and boundary conditions ð16Þ where the dimensionless 2 van der Waals force is f~v ¼ cv =6 D̄0 W ð1; tÞ . On multiplying Eq. (16) by cos ot and integrating it from 0 to the period T ¼ 2p/o, Eq. (16) becomes b _ d3 W̄ c þ m̄t o2 W̄ c þ c̄t oW̄ s ¼ f vc , 3 dx _ 2 (17) 2 2 where f vc ¼ cv W̄ c ð1Þ=3ðD̄0 W̄ c ð1Þ W̄ s ð1ÞÞ3=2 . Similarly, on multiplying Eq. (16) by sin ot and integrating it from 0 to the period T ¼ 2p/o, Eq. (16) becomes b _ d3 W̄ s þ m̄t o2 W̄ s c̄t oW̄ c ¼ f vc , 3 dx _ 2 (18) 2 2 where f vc ¼ cv W̄ s ð1Þ=3ðD̄0 W̄ c ð1Þ W̄ s ð1ÞÞ3=2 . The solution of the system is assumed as W ðx; tÞ ¼ W̄ c ðxÞ cos ot þ W̄ s ðxÞ sin ot 3.2. Characteristic equations ¼ W̄ ðxÞ cosðot yÞ, ð7Þ qffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi 2 2 where W̄ ðxÞ ¼ W̄ c þ W̄ s , tan y ¼ W̄ s ðxÞ=W̄ c ðxÞ and y is the phase angle. Substituting the solution into the governing equation and the boundary conditions and taking ‘cos ot’ and ‘sin ot’ apart, coupled differential equations can be obtained: d2 d2 W̄ c bðxÞ (8) o2 mðxÞW̄ c ¼ 0, dx2 dx2 d2 d2 W̄ s bðxÞ o2 mðxÞW̄ s ¼ 0. dx2 dx2 247 (9) At x ¼ 0: W̄ c ð0Þ ¼ A0 , (10) W̄ s ð0Þ ¼ 0, (11) dW̄ c ð0Þ ¼ 0, dx (12) dW̄ s ð0Þ ¼ 0. dx (13) At x ¼ 1: d2 W̄ c ð1Þ ¼ 0, dx2 (14) d2 W̄ s ð1Þ ¼ 0, dx2 (15) The general solutions of the characteristic differential Eqs. (8) and (9) can be expressed as, respectively, W̄ c ðxÞ ¼ C c1 V c1 ðxÞ þ C c2 V c2 ðxÞ þ C c3 V c3 ðxÞ þ C c4 V c4 ðxÞ, (19) W̄ s ðxÞ ¼ C s1 V s1 ðxÞ þ C s2 V s2 ðxÞ þ C s3 V s3 ðxÞ þ C s4 V s4 ðxÞ, (20) where Vci and Vsi, i ¼ 1, 2, 3, 4, are the linearly independent fundamental solutions of Eqs. (8) and (9), respectively. They are assumed to satisfy the following normalization conditions at the origin of the coordinated system: 3 3 2 2 V c1 V c2 V c3 V c4 V s1 V s2 V s3 V s4 7 7 6 0 6 0 6 V c1 V 0c2 V 0c3 V 0c4 7 6 V s1 V 0s2 V 0s3 V 0s4 7 7 7 6 6 ¼ 6 00 7 7 6 00 6 V c1 V 00c2 V 00c3 V 00c4 7 6 V s1 V 00s2 V 00s3 V 00s4 7 5 5 4 4 000 000 000 000 000 000 000 V 000 V V V V V V V c1 c2 c3 c4 x¼0 s1 s2 s3 s4 x¼0 3 2 1 0 0 0 7 6 60 1 0 07 7 6 ð21Þ ¼6 7, 60 0 1 07 5 4 0 0 0 1 where primes indicate differentiation with respect to the dimensionless spatial variable x. It should be noted that because the parameters of Eq. (8) are the same as those of Eq. (9), their normalized fundamental solutions are same, i.e., V ci ðxÞ ¼ V si ðxÞ. The exact fundamental solutions can be easily derived by using the method by Lin [24]. Substituting Eq. (19) into the boundary conditions (10), (12) and (14), one finds that the coefficients are Cc1 ¼ A0, ARTICLE IN PRESS S.M. Lin / Ultramicroscopy 107 (2007) 245–253 248 Cc2 ¼ 0 and C c4 ¼ A0 V 00c1 ð1Þ þ C c3 V 00c3 ð1Þ =V 00c4 ð1Þ. Similarly, substituting Eq. (20) into the boundary conditions (11), (13) and (15), the coefficients are Cs1 ¼ Cs2 ¼ 0 and C s4 ¼ C s3 V 00s3 ð1Þ=V 00s4 ð1Þ. Subsituting these back into Eqs. (19) and (20), the general solutions can be expressed as A0 V 00c1 ð1Þ V c4 ðxÞ W̄ s ðxÞ ¼ A0 V c1 ðxÞ V 00c4 ð1Þ V 00c3 ð1Þ þ C c3 V c3 ðxÞ 00 V c4 ðxÞ , V c4 ð1Þ W̄ s ðxÞ ¼ C s3 V 00 ð1Þ V V s3 ðxÞ s3 ð x Þ . s4 V 00s4 ð1Þ ð22Þ (23) 1 E~ k ¼ 2 Z 1 0 h i 2 2 m W̄ c ðxÞ þ W̄ s ðxÞ dx i 1 h 2 2 ð28Þ þ m̄t W̄ c ð1Þ þ W̄ s ð1Þ . 2 The energy lost per cycle due to the tip–sample viscous force is I qwðL; tÞ E loss ¼ ct dwðL; tÞ: (29) qt Substituting the solution (7) into Eq. (29), the energy lost 2 per cycle is E loss ¼ apc̄t oW̄ ð1Þ. Substituting Eqs. (27)–(29) back into Eq. (24), the effective Q factor is 2E~ s þ o2 E~ k Q¼ . (30) 2 c̄t oW̄ ð1Þ Given the tip amplitude W̄ ð1Þ and the dimensionless frequency of excitation o and substituting Eqs. (22) and (23) into Eqs. (17) and (18), the coefficients Cc3 and Cs3 and the amplitude of excitation A0 at the root can be easily determined by using the numerical method proposed by Lin [24]. 4. Effective mass–spring-damper model 3.3. Relation between energy dissipation and Q factor 4.1. Relations among several parameters In general, a quality factor is used to express the intrinsic property of a dynamic system. The Q factor is expressed in terms of the ratio of total energy stored in a system to the energy dissipation per cycle [25] as follows: For simplicity, the beam system is usually simulated by an effective mass–spring-damper model. The equation of motion can be expressed as [16] Q ¼ 2p E total , E loss (24) where Etotal is the total energy and E loss is the energy lost per cycle. It is obvious that the phase angle is a function of position variable x. It means that when the tip is at the top dead position, i.e., the velocity of the tip is zero, the velocity at the other position of beam is not zero. According to this fact, the total energy is considered to be an average value of a cycle as follows: Z 1 T E total ¼ ðE s ðtÞ þ E k ðtÞÞ dt; (25) T 0 where Es and Ek are the strain and kinetic energies, respectively, Z 1 L E s ðtÞ ¼ EIðq2 w=qx2 Þ2 dx, 2 0 2 Z 1 L qw 1 qwðL; tÞ 2 rA dx þ mt . ð26Þ E k ðtÞ ¼ 2 0 qt 2 qt Substituting the solution (7) into Eqs. (25) and (26), the total energy is expressed as 1 E total ¼ a E~ s þ o2 E~ k , (27) 2 where Eð0ÞIð0Þ 2 Lc , L3 Z 1 1 h 00 2 00 2 i b W c ðxÞ þ W s ðxÞ dx, E~ s ¼ 4 0 a¼ m€z þ ct z_ þ kzðtÞ ¼ F ts þ gkzðt t0 Þ, (31) where z represents the tip displacement at time t, and k, m, and ct are the spring constant, the effective mass, and the tip–sample viscous coefficient of cantilever, respectively. Fts is the tip–sample force and g the gain factor which is the amplification factor of the displacement signal in the closed-loop control system. gz(tt0) is the root displacement. 1/g respresents the response ratio of the tip amplitude to the root one. If the second term was replaced by 2pf 1 =Qres where Qres is the Q factor at the resonant frequency, the equation of motion (31) becomes the same as that given by Hölscher et al. [16]. The relation between Qres and the resonant response ratio is discussed later. Moreover, it is well known that the energy dissipation ratio changes with the frequency of excitation. Therefore, the Q factor changes with the frequency of excitation [18]. A detailed investigation is given in Section 4.3. The solution of Eq. (31) is assumed to be zðtÞ ¼ A cosð2pftÞ. (32) Substituting Eq. (32) into Eq. (31), multiplying it by cos(2pft) and integrating it from 0 to the period T ¼ 2p/O, one obtains Z 2p 1 g cos 2pft0 ¼ s2 þ 1 F ts cos w dw, (33) pkA 0 where s ¼ f/f0. Similarly, substituting Eq. (32) into Eq. (31), multiplying by sin(2pft) and integrating it from 0 to the period T ¼ 2p/O, one obtains Z 2p 2pf 0 ct 1 s g sin 2pft0 ¼ F ts sin w dw. (34) pkA 0 k ARTICLE IN PRESS S.M. Lin / Ultramicroscopy 107 (2007) 245–253 Taking square of (33) and (34) and summing these, one obtains 2 Z 2p 1 2 2 g ¼ s þ 1 F ts cos w dw pkA 0 2 Z 2p 2pf 0 ct 1 s þ F ts sin w dw . ð35Þ pkA 0 k where sres ¼ fres/f0. It should be noted that Fts is an arbitrary force. If the van derR Waals force is considered, 2p 2 F ts ¼ AH R=½6ðD0 W R 2pð1ÞÞ , 0 F ts cos w dw ¼ 2pAAH R= 2 3=2 2 ½6ðD0 A Þ and 0 F ts sin w dw ¼ 0. Dividing Eq. (34) by Eq. (33), the corresponding phase angle f is obtained: tan f ¼ s2 2pf 0 ct s=k h i, 1 þ AH R= 3kðD20 A2 Þ3=2 (38) where g is the damping ratio pf0ct/k. It is observed from Eq. (38) that increasing the damping ratio and van der Waals force increases the resonant frequency shift. In the other way, given the frequency shift, the tip amplitude, and the tip–sample distance, the damping ratio can be easily determined via the formula (38). If g ¼ 0, and AH R=½3kðD20 A2 Þ3=2 51, the resonant frequency shift (38) becomes f 0 AH R 6kðD20 AÞ3=2 . (39) It is the same as that derived by the conventional perturbation method [17]. Substituting Eq. (38) back into Eq. (35), the resonant response ratio is obtained: 1 1 ¼ qffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi . AH R gres 2g 1 g2 3kðD2 A2 Þ3=2 Δf = -5.06 Hz 6 4 Δf = -10.7 Hz 2 Δf = -51.8 Hz 0 0 0.001 0.002 Δγ 0.003 0.004 Fig. 2. Error of measured step height due to the resonant frequency shift Df and the variation of damping at different surface positions Dg. (A ¼ 5 nm, b̄ ¼ 45 mm, h̄ ¼ 3:5 mm, L ¼ 200 mm, Lc ¼ 10 nm, b ¼ m ¼ 1, mt ¼ 0.067 1013 kg, R ¼ 20 nm, E ¼ 70.3 109 Pa, r ¼ 2.5 103 kg/ m3, AH ¼ 1019 J, f1 ¼ 74941.4 Hz). (37) where f ¼ 2pft0. The resonant frequency shift of an AFM subjected to the van der Waals force is derived from Eq. (36): ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi 2v 3 # u" u A R H 15 , Df ¼ f res f 0 ¼ f 0 4t 1 2g2 3kðD20 A2 Þ3=2 Df ¼ 8 error (nm) In the amplitude modulation, the amplitude of tip A is constant. At resonance the amplitude of the exciting root gA is minimum. Letting the gradient of the square of gain g to be zero, the follwing relation among the resonant frequency fres, the viscous coefficient, the tip–sample force, and amplitude is derived: Z 2p 2p2 c2t f 20 1 s3res þ 1 þ þ F cos w dw sres ts pkA 0 k2 Z 2p ct f 20 F ts sin w dw ¼ 0, ð36Þ k A 0 249 (40) 0 The viscous damping ratio g can be calculated via Eq. (40) by measuring the resonant response ratio 1/gres. If Fts ¼ 0, the resonant response ratio (40)ffi becomes the well-known pffiffiffiffiffiffiffiffiffiffiffiffi formula, 1=gres;0 ¼ 1=2g 1 g2 [23]. If the damping ratio is very small, the resonant response ratio is equal to the resonant quality factor Qres,0. Therefore, the resonant response ratio usually represents the energy dissipation ratio per cycle of a system. Moreover, the resonant pffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi frequency becomes f res ¼ f 0 1 2g2 . 4.2. Error of measuring a sample’s topography The effects of several parameters on the error of measuring a sample’s topography are investiged here. Eq. (38) can be rewritten as vffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi #2=3 u" u AH R t D0 ¼ (41) þ A2 . 3k 1 2g2 s2res Consider AFM scanning a sample’s step height, as shown in Fig. 1. The step height between two surface points ‘a’ and ‘b’ is to be measured. For a perfect measurement, whenever any point of a sample’s surface is measured, the amplitude, the resonant frequency and the damping ratio must be kept constant. If these conditions are to be kept, the height of the piezoelectric scanning table mus be adjusted so that the tip–sample distances are same while measuring the two surface points ‘a’ and ‘b’, D0,b ¼ D0,a. The adjusted step height Dhmea is the real height Dhab between the two points. Unfortunately, there must exist the tolerances of the tip amplitude, the resonant frequency or the damping difference over a sample’s surface in the ARTICLE IN PRESS S.M. Lin / Ultramicroscopy 107 (2007) 245–253 250 ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi v2 32=3 u u u AH R 5 þ A2a . t4 3k 1 2g2a s2res;a proceeding of measurement such that D0,b6¼D0,a and |Dhmea6¼Dhab|. The corresponding error of the measured step height is |DhmeaDhab| ¼ |D0,bD0,a|. According to Eq. (41), one can determine the error of a measured step height due to the tolerences of amplitude, resonant frequency, and damping difference. Assuming that Ab ¼ Aa+DA, sres,b ¼ sres,a+Ds, and gb ¼ ga+Dg where {DA,Ds,Dg} are the tolerences. Substituting these into Eq. (41) and the relation error ¼ |D0,bD0,a|, the error of a measured step height between the two points a and b is expressed as ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi ffi v 2 32=3 u u u AH R 2 error ¼ t4 2 2 5 þ ðAa þ DAÞ 3k 1 2 ga þ Dg sres;a þ Ds It is observed from Eq. (42) that increasing the tip radius R and the damping ratio g increases the error. Increasing the effective spring constant k decreses the error. Besides, the influence of the variation of the damping ratio exsiting at different surface positions on an error of measuring topography is investigated here. For simplicity, the variations of the resonant frequency and the amplitude are neglected. The relation among frequency shift, the variation of damping ratio and the error of measuring a sample’s topography is shown in Fig. 2. It shows that the variation of damping ratio increases the error, especially 120 0.04 : ct = 105.5 nN-s/m : ct = 10.55 nN-s/m : discrete model : distributed model 0.03 : ct = 105.5 nN-s/m : ct = 10.55 nN-s/m : discrete model : distributed model 80 40 θ A0 (nm) ð42Þ 0.02 0 -40 0.01 -80 0 73000 (a) -120 73500 74000 74500 75000 75500 73000 73500 74000 (b) f (Hz) 74500 75000 75500 f (Hz) 1200 Q-factor 800 : ct = 105.5 nN-s/m : ct = 10.55 nN-s/m : discrete model : distributed model 400 0 73000 (c) 73500 74000 74500 75000 75500 f (Hz) Fig. 3. With a constant tip amplitude A, the influence of the frequency of excitation O and the viscous coefficient ct on the amplitude of excitation A0, the phase angle f, and the Q factor of a uniform beam. (The tip–sample distance D0 ¼ 4 nm, the tip amplitude A ¼ 1 nm, the width of cross-section of beam b̄ ¼ 45 mm, the thickness of cross-section of beam h̄ ¼ 3:5 mm, L ¼ 200 mm, Lc ¼ 10 nm, b ¼ m ¼ 1, mt ¼ 3.18 1013 kg, R ¼ 50 nm, E ¼ 70.3 109 Pa, r ¼ 2.5 103 kg/m3, AH ¼ 1019 J, the first natural frequency without damping and the ver der Waals force, f1 ¼ 74355.8 Hz). ARTICLE IN PRESS S.M. Lin / Ultramicroscopy 107 (2007) 245–253 for a smaller frequency shift. It should be known that increasing the tip–sample distance decreases the resonant frequency shift. In other words, decreasing the tip–sample distance decrease the error due to the variation of damping ratio. 4.3. Relation between energy dissipation and Q factor The Q factor of the discrete mass–spring-damper model is derived here. The corresponding total energy and the lost energy lost per cycle are, respectively, Z 1 T 1 2 1 m_z þ kðzðtÞ gzðt t0 ÞÞ2 dt Ē total ¼ T 0 2 2 2 A mO2 þ k 1 þ g2 2g cos Ot0 , ¼ ð43Þ 4 I DE loss ¼ ct z_ dz ¼ 2p2 fct A2 . (44) Substutiting these back into Eq. (24), the Q factor is expressed as Q¼ 1 þ s2 þ g2 2g cos 2pft0 . 4gs (45) Further, substituting Eqs. (38) and (40) into Eq. (45), the resonant Q factor is AH R 2 4 2 1 g 2g 1=2 þ 2g 3kðD2 A2 Þ3=2 0 Q̄res ¼ . (46) 1=2 HR 2g 1 2g2 3kðDA2 A 2 3=2 Þ 0 If the van der Waals parameter AH R=½3kðD20 A2 Þ3=2 and g are far less than one, Q̄res 1=2g 1=gres which is the same as that of a conventional system without the van der Waals force [23]. Substituting it into Eq. (44), one obtains that E loss;res pkA2 s=Q̄E res . Further, if fresEf0, then E loss;res pkA2 =Q̄res [26]. For example, a cantilever beam is made of SiO2. The following parametes are taken: the width of cross-section of beam b̄ ¼ 45 mm, the thickness of cross-section of beam h̄ ¼ 45 mm, the length L ¼ 200 mm, the tip mass mt ¼ 3.18 1013 kg, the radius of tip R ¼ 50 nm, the Young’s modulus E ¼ 70.3 109 Pa, the density r ¼ 2.5 103 kg/m3, the Hamaker constant AH ¼ 1019 Joule, the first natural frequency without damping and the ver der Waals force, fI ¼ 74933.28 Hz, the tip amplitude A ¼ 2 nm, the tip–sample distance D0 ¼ 4 nm, the van der Waals parameter AH R=½3kðD20 A2 Þ3=2 ¼ 0:000946. In general, the Q factor of an AFM is about between 50 and 10000 and the corresponding damping ratio g is between 0.00004 and 0.01. Obviously, the damping ratio g and van der Waals parameter of an AFM is far less than one. Further, it is observed from Eq. (46) that the influence of the van der Waals force on the resonant Q factor is very small. 251 5. Numerical results and discussion The comparison of the numerical results determined by using the effective mass–spring-damper and beam models are made. Fig. 3 shows the influence of the frequency of excitation O and the viscous coefficient ct on the amplitude of excitation A0, the phase angle f, and the Q factor of an uniform beam with constant tip amplitude A. It shows that the root amplitude at the resonance is minimum. The resonant frequencies and the phase angles determined by using the two models are almost same. Rodriguez and Garcia [20] found that simulations based on a mass–springdamper model is suitable to describe a cantilever tip motion with relatively high quality factor, Q102–103. Fig. 3 also shows that the resonant Q factor is maximum. When the viscous damping coefficient is large enough, the Q factors of the two models are less different. But if the viscous damping coefficient is small, there exits a peak of the Q factor curve of the beam model at the resonance. It is well known that the resonant Q factor and the resonant response ratio of a system with small damping ratio are the same. When the frequency of excitation approaches the resonant frequency, the response ratio is maximum. In other words, there is a peak of the curve of the response ratio and the frequency of excitation at the resonance. If the Q factor were the response ratio, there would be a peak of the curve of the Q factor and the frequency of excitation at the resonance. Fig. 4 shows the influence of the damping ratio g on the resonant Q factors and the response ratios of the two models. In the mass–spring-damper model, if g 1, 100000 10000 1000 100 10 : w(L)/A0 : Qres , Eq. (21) : Qres , Eq. (33) : 1/gres , Eq. (30) : 1/2γ 1 0.1 1E-005 0.0001 0.001 0.01 0.1 1 γ Fig. 4. Comparison of the Q factor and the response ratio g, (D0 ¼ 5 nm, A ¼ 2 nm, b̄ ¼ 45 mm, h̄ ¼ 3:5 mm, L ¼ 200 mm, Lc ¼ 10 nm, b ¼ m ¼ 1, mt ¼ 3.18 1013 kg, R ¼ 50 nm, E ¼ 70.3 109 Pa, r ¼ 2.5 103 kg/m3, AH ¼ 1019 J, f1 ¼ 74355.8 Hz). ARTICLE IN PRESS S.M. Lin / Ultramicroscopy 107 (2007) 245–253 252 120 4 80 : ct = 10.55 nN-s/m : ct = 105.5 nN-s/m : ct = 10.55 nN-s/m : ct = 105.5 nN-s/m 40 θ A0 (nm) 3 0 2 -40 1 -80 0 -120 0 200 400 f (kHz) (a) 600 800 0 200 (b) 400 f (kHz) 600 800 10000000 1000000 100000 Q-factor 10000 1000 100 : ct = 10.55 nN-s/m : ct = 105.5 nN-s/m 10 1 0.1 0 200 (c) 400 600 800 f (kHz) Fig. 5. Influence of the frequency of excitation O and the viscous damping constant c̄t on the amplitude of excitation A0, the phase angle and the Q factor of a uniform beam. (D0 ¼ 5 nm, A ¼ 3 nm, b̄ ¼ 45 mm, h̄ ¼ 3:5 mm, L ¼ 200 mm, Lc ¼ 10 nm, b ¼ m ¼ 1, mt ¼ 3.18 1013 kg, R ¼ 50 nm, E ¼ 70.3 109 Pa, r ¼ 2.5 103 kg/m3, AH ¼ 1019 J, f1 ¼ 74355.8 Hz, f2 ¼ 466030 Hz). Q̄res 1=2g 1=gres . In the beam model, the resonant quality factor Qres is different from the response ratio wðLÞ=A0 by 20%. Moreover, the resonant quality factors of the two models are different by 21%. Commonly, using the mass–spring-damper model one can derive only the first mode. However, the beam model can be used to determine the responses of the higher modes. Fig. 5 shows the behavior of the first two modes. With constant tip amplitude, Fig. 5(a) shows that at resonance the root amplitudes of the two modes are locally minimum. Fig. 5(b) shows that at resonance the phase angle of the two modes change suddenly. Fig. 5(c) shows that the effects of the frequency of excitation and the damping coefficient on the Q factor are significant. There exits a peak of the Q factor curve of the beam model at the resonance. 6. Conclusions In this study, analytical solutions of several modes of an AM-AFM subjected to a tip–sample viscous force are presented. Moreover, an exact solution of an effective mass–spring-damper model is also derived. Although only the attractive force is discussed here, the proposed methods ARTICLE IN PRESS S.M. Lin / Ultramicroscopy 107 (2007) 245–253 can be easily used to investigate an AFM system subjected to a viscous and arbitrary tip–sample forces. Based on an effective mass–spring-damper model, simple and complete relations among the resonant response ratio, the damping ratio and the van der Waals force are revealed. These relations are intuitive and very useful for interpreting the surface properties of a sample. In order to realize the accuracy of an mass–spring-damper model, the numerical results of an AM-AFM are determined by using the beam and mass–spring-damper models. It is found that the resonant frequencies and the phase angles determined by using the two models are almost same. Moreover, increasing the damping ratio decreases slightly the resonant frequency. The effects of the frequency of excitation and the damping coefficient on the Q factor are significant. However, with a constant damping coefficient, the resonant Q factor of the mass–spring-damper model will be underestimated by about 20%. Because the relation among the resonant frequency, the damping ratio and the dimensionless van der Waals force has been proved to be accurate, several trends are obtained via the relation as follows: (1) Increasing the tip radius and the damping ratio increases significantly the error of measuring a sample’s topography. (2) Increasing the effective spring constant decreases the error of measuring a sample’s topography. (3) The variation of damping ratio increases the error of measuring a sample’s topography, especially for smaller frequency shift. In addition, it is well known that decreasing the tip–sample distance increases the resonant frequency shift. 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