A Yakymovych1,2, G Kaptay3,4,5, H Flandorfer1, J Bernardi6, S Schwarz6, H Ipser1. 1. Department of Inorganic Chemistry - Functional Materials, Faculty of Chemistry, University of Vienna Althanstr. 14 1090 Vienna Austria andriy.yakymovych@univie.ac.at. 2. Department of Metal Physics, Ivan Franko National University Kyrylo and Mephodiy str. 8 79005 Lviv Ukraine. 3. Department of Nanotechnology, University of Miskolc, Miskolc-Egyetemváros Hungary-3515. 4. MTA-ME Materials Science Research Group, Miskolc-Egyetemváros Hungary-3515. 5. Bay Zoltan Ltd on Applied Research, BAY-ENG 2 Igloi Miskolc Hungary-3519. 6. University Service Center for Transmission Electron Microscopy, Vienna University of Technology Wiedner Hauptstrasse 8-10 A-1040 Vienna Austria.
Nanostructured alloys represent a relatively novel class of materials compared to the conventional bulk ones, with a number of unique and promising features that have attracted an increasing number of scientists and engineers. However, there are still many open issues related to this research topic, such as the thermodynamic stability of the nanosized structures or the changes in properties during transition of the materials from the nanosized to bulk form.At present, it is possible to produce nanoparticles (NPs) controlling not only their size but also their shape (spheres, plates, rods, etc.) and internal structure (metallic, bimetallic and multicomponent metal NPs), while the main progress in studies of the characteristics of NPs is achieved only in terms of size dependent thermodynamic properties. For instance, the size-dependent changes of the melting temperature, cohesive energy, melting enthalpy and entropy were theoretically predicted and experimentally described in the literature.[1-3] At the same time, there are only few studies dealing with changes in various other properties of NPs caused by their shape or internal structure. For instance, there is a number of papers dealing with the investigation of optical properties of metallic[4,5] and bimetallic NPs.[6-8] The extinction spectra of metal nanoparticles, such as Ag nanodisks and triangular prisms, Au multirods, as well as Au shell NPs with a pinhole (several nm) structure were investigated in ref. 9. A bond-energy model for the calculation of the cohesive energy was developed in order to predict the size and shape dependency of various physical properties of metallic and bimetallic NPs with core/shell structure.[10]The explosive growth in the number of studies of some classes of materials is mostly related to their prospective application. For instance, in order to promote new enhanced and customer-friendly lead-free solders, nanocomposite Sn-based alloys with minor additions of metal nanoparticles have been under intensive scientific examination.[11-13] Unfortunately, most of these studies refer to mechanical properties[14-18] while information related to thermophysical and thermodynamic properties as well as structural features, especially in the liquid state, is scarce.[19-21] However, a possible industrial use requires comprehensive data on new nanosized materials with precisely controlled properties. In particular, one needs reliable information on the thermodynamic stability of the employed metal nanoparticles in the bulk solder with respect to their possible dissolution during long time use. Therefore, new studies dealing with chemical and physical properties of metal NPs in a bulk metal matrix, depending on size, shape, composition, and structure of these NPs, are demanded.In the present study, a drop calorimetric method is used to investigate the “thermodynamic nanoeffects”. A Sn-3.8Ag-0.7Cu alloy (SAC387; in wt%) was employed in the performed study as the main component since SAC387 is a commercially available solder. Many papers are dealing with nanocomposite Sn–Ag–Cu (SAC) solders, attempting to improve their properties by minor additions of metal NPs such as Co, Cu, Fe, Ni, etc.[17,22] The nanocomposite SAC solder is reflowed during the soldering process, and reactive metal NPs are dissolved in the liquid Sn-based matrix. Therefore, the present research provides essential data to simulate the soldering process using nanocomposite solders with nano-sized metal additions in a proper way. The heat effects caused by the dissolution of Cu and Ni in bulk as well as in nanosized form were determined and the excess surface enthalpies of the employed NPs were derived. The experimental results are theoretically described taking into account not only the size but also the internal structure of the nanoparticles, i.e. their apparent core–shell (metal core/oxide shell) structure.
Results and discussion
Calorimetric measurements. The present study was started with calorimetric measurements, adding pieces of bulk Cu into a liquid Sn-4.2Ag alloy (in at%) (Table 1), where the molar enthalpy of mixing for the liquid Sn-4.2Ag alloy was taken from Flandorfer et al.[23] Since the concentration values in figures and tables are given in at%, the composition of the SAC387 master alloy is also converted to at%, resulting in a composition Sn-4.1Ag-1.3Cu. The measurements were performed at 1073 K and 873 K; they were compared with data calculated by a Redlich–Kister–Muggianu polynomial based on literature data by Luef et al.[24]
Enthalpies of mixing data for the addition of bulk Cu into the liquid Sn-4.2Ag alloy; standard states: pure liquid metals
T = 873 K; first measurement; starting amount: nAg= 1.7980 × 10−3mol; nSn= 41.2485 × 10−3mol
168
0.2275
26 836 ± 367
0.0026
−1445 ± 1077
0.0053
157 ± 8
0.2985
26 834 ± 481
0.0087
−1448 ± 1077
0.0121
146 ± 19
0.3254
26 633 ± 521
0.0157
−1648 ± 1069
0.0194
133 ± 31
0.3738
26 326 ± 591
0.0235
−1955 ± 1056
0.0277
116 ± 44
0.3762
26 383 ± 596
0.0318
−1898 ± 1059
0.0359
99 ± 57
0.4031
25 741 ± 623
0.0402
−2541 ± 1033
0.0445
76 ± 71
0.4038
25 659 ± 623
0.0487
−2622 ± 1030
0.0530
52 ± 84
0.4617
25 844 ± 717
0.0577
−2437 ± 1037
0.0625
27 ± 98
0.4643
25 883 ± 722
0.0672
−2398 ± 1039
0.0719
3 ± 113
0.4787
25 618 ± 737
0.0766
−2663 ± 1028
0.0814
−25 ± 128
0.5448
25 135 ± 823
0.0866
−3147 ± 1009
0.0919
−61 ± 143
0.5582
25 443 ± 853
0.0972
−2838 ± 1021
0.1025
−93 ± 160
0.5697
24 608 ± 842
0.1078
−3674 ± 987
0.1130
−135 ± 175
0.6367
24 833 ± 950
0.1188
−3448 ± 996
0.1245
−178 ± 192
0.8346
24 284 ± 1218
0.1318
−3997 ± 974
0.1391
−242 ± 213
T = 873 K; second measurement; starting amount: nAg= 1.7652 × 10−3mol; nSn= 40.4961 × 10−3mol
168
0.5287
27 335 ± 736
0.0062
−1056 ± 994
0.0124
150 ± 17
0.5341
26 341 ± 717
0.0184
−2049 ± 958
0.0245
123 ± 33
0.5679
26 795 ± 775
0.0308
−1595 ± 974
0.0371
100 ± 50
0.5970
26 517 ± 807
0.0436
−1873 ± 964
0.0501
74 ± 67
0.6152
25 994 ± 815
0.0565
−2396 ± 945
0.0630
40 ± 84
0.6165
26 133 ± 821
0.0693
−2257 ± 950
0.0757
9 ± 101
0.6252
25 237 ± 804
0.0819
−3153 ± 918
0.0881
−34 ± 117
0.6330
25 837 ± 833
0.0943
−2553 ± 939
0.1004
−67 ± 132
0.6442
25 443 ± 835
0.1065
−2947 ± 925
0.1126
−106 ± 148
0.6478
24 890 ± 822
0.1185
−3500 ± 905
0.1245
−152 ± 163
0.6838
24 527 ± 855
0.1306
−3863 ± 892
0.1367
−204 ± 178
0.7186
24 314 ± 890
0.1429
−4076 ± 884
0.1492
−260 ± 193
0.7401
24 488 ± 924
0.1554
−3902 ± 890
0.1617
−313 ± 208
0.7588
23 746 ± 918
0.1679
−4644 ± 863
0.1741
−377 ± 222
0.7771
23 671 ± 937
0.1803
−4719 ± 861
0.1865
−442 ± 237
Average of xCu before and after drop.
Per mole of the mixture.
Average of xCu before and after drop.Per mole of the mixture.Fig. 1 shows very good agreement between experimental values and calculated curves, taking into account that the experimental data of ref. 24 were obtained at temperatures different from the present ones, namely 773 K, 973 K and 1173 K. The corresponding values of the integral enthalpy of mixing for the liquid Sn-4.1Ag-1.3Cu alloy were then used as the starting values required for the evaluation of ΔMixH of quaternary liquid Ag–Cu–Ni–Sn alloys. As evident from Fig. 1, the deviation from ideal behavior (enthalpy of mixing is equal to zero) is more significant at the lower temperature, in full accord with the general expectation for systems with chemical compounds.[25]
Fig. 1
Integral enthalpy of mixing of liquid (Sn-4.2Ag)100−Cu alloys.
The experimental values for the Ag–Cu–Ni–Sn system are presented in Table 2, and they are compared with literature data by Saeed et al.,[26] obtained at 1273 K, in Fig. 2. In order to describe the molar enthalpy of mixing for liquid quaternary alloys, it was suggested to modify the Redlich–Kister–Muggianu polynomial by adding an additional term corresponding to symmetric quaternary interactions.[26] As seen from Fig. 2, there is a reasonably good agreement between experimental and calculated data with a maximum difference of less than 1 kJ mol−1.
Enthalpies of mixing data for the addition of bulk Ni into the liquid Sn-4.1Ag-1.3Cu alloy; standard states: pure liquid metals
T = 1073 K; second measurement; starting amount: nAg= 1.7825 × 10−3mol; nCu= 0.5574 × 10−3mol; nSn= 40.7056 × 10−3mol
93
0.2259
−9155 ± 135
0.0026
−49719 ± 643
0.0052
−169 ± 15
0.2769
−9283 ± 168
0.0084
−49848 ± 652
0.0115
−485 ± 30
0.3012
−9718 ± 191
0.0149
−50282 ± 683
0.0183
−827 ± 45
0.3641
−9669 ± 230
0.0224
−50234 ± 680
0.0264
−1234 ± 60
0.3723
−9784 ± 238
0.0305
−50349 ± 688
0.0345
−1644 ± 75
0.3743
−9825 ± 240
0.0386
−50390 ± 691
0.0426
−2050 ± 90
0.4248
−10111 ± 280
0.0471
−50676 ± 711
0.0515
−2505 ± 105
0.4646
−10129 ± 307
0.0564
−50693 ± 712
0.0612
−2993 ± 119
0.5238
−9884 ± 338
0.0665
−50449 ± 695
0.0718
−3529 ± 133
0.5556
−10511 ± 381
0.0773
−51076 ± 739
0.0828
−4092 ± 147
0.5738
−11319 ± 424
0.0883
−51884 ± 796
0.0938
−4669 ± 162
0.5936
−11034 ± 428
0.0994
−51599 ± 775
0.1050
−5249 ± 176
0.6200
−11567 ± 468
0.1107
−52132 ± 813
0.1164
−5845 ± 190
0.6274
−11251 ± 461
0.1220
−51816 ± 791
0.1276
−6430 ± 204
0.6874
−12276 ± 551
0.1336
−52841 ± 863
0.1396
−7067 ± 218
T = 873 K; first measurement; starting amount: nAg= 1.7086 × 10−3mol; nCu= 0.5343 × 10−3mol; nSn= 39.0184 × 10−3mol
152
0.3080
−18322 ± 397
0.0037
−52664 ± 1108
0.0074
−242 ± 10
0.3278
−18316 ± 423
0.0113
−52658 ± 1108
0.0152
−652 ± 20
0.5430
−17950 ± 686
0.0215
−52292 ± 1086
0.0278
−1312 ± 35
0.5684
−18800 ± 752
0.0342
−53142 ± 1137
0.0406
−1997 ± 53
T = 873 K; second measurement; starting amount: nAg= 3.5225 × 10−3mol; nCu= 1.1015 × 10−3mol; nSn= 80.4407 × 10−3mol
152
1.2447
−18830 ± 1419
0.0072
−53125 ± 1140
0.0144
−619 ± 16
1.2190
−18733 ± 1383
0.0213
−53029 ± 1135
0.0281
−1349 ± 32
0.4438
−18926 ± 509
0.0306
−53221 ± 1146
0.0331
−1610 ± 38
0.4800
−18996 ± 552
0.0357
−53291 ± 1150
0.0383
−1891 ± 44
0.4846
−18669 ± 548
0.0409
−52965 ± 1131
0.0435
−2169 ± 50
0.5128
−18822 ± 585
0.0463
−53117 ± 1140
0.0490
−2461 ± 56
0.5463
−19068 ± 631
0.0519
−53364 ± 1155
0.0548
−2770 ± 63
Average of xNi before and after drop.
Per mole of the mixture.
Fig. 2
Integral enthalpy of mixing of liquid (Sn-4.1Ag-1.3Cu)100−Ni alloys.
Average of xNi before and after drop.Per mole of the mixture.The results in Table 3 differ from those in Tables 1 and 2 by the experimental procedure: they were obtained by dropping pieces of Cu or Ni wrapped in a Sn-4.1Ag-1.3Cu foil into the liquid alloy in the calorimeter at 1073 K and 873 K. These measurements were performed to ensure that no significant side effects would be observed when dropping NPs wrapped into such a foil into the calorimeter. As seen from Fig. 3a and b, very good agreement was obtained between experimental results with and without employing the Sn-4.1Ag-1.3Cu foil. It should also be noted that, in contrast to the ternary Ag–Cu–Sn alloys (Fig. 1), the quaternary Ag–Cu–Ni–Sn alloys did not show any significant temperature dependence of the molar mixing enthalpies (Fig. 2 and 3b). The present results of the partial enthalpy of mixing for ternary and quaternary alloys were exothermic in the investigated concentration range at both temperatures while the integral enthalpy of mixing for the ternary (Sn-4.1Ag-1.3Cu)–Cu alloys changes from positive to negative values with increasing Cu content. Furthermore, the experimental data for the ternary (Sn-4.1Ag-1.3Cu)–Cu alloys indicated a clear temperature and concentration dependence of the integral enthalpy of mixing, with a tendency to more exothermic values at lower temperatures and higher Cu contents.
Fig. 3
Integral enthalpy of mixing of liquid (Sn-4.1Ag-1.3Cu)100−Cu alloys at 1073 K (a) and (Sn-4.1Ag-1.3Cu)100−Ni alloys at 1073 K and 873 K (b).
Average of xCu/xNi before and after drop.Per mole of the mixture.The microstructure analysis of the samples after calorimetric measurements showed that the intermetallic compounds (IMCs) Ag3Sn, Cu6Sn5 and Ni3Sn4 had been formed during the solidification of the investigated Ag–Cu–Ni–Sn samples (Fig. 4a–d, Table 4). These results are in very good agreement with the quaternary Ag–Cu–Ni–Sn phase diagram.[27] According to SEM analyses of the investigated samples, a substitution of Ni and Cu atoms, respectively, was observed in the IMCs Cu6Sn5 and Ni3Sn4. This effect is more pronounced for (Cu,Ni)6Sn5 due to a significantly increasing exothermic enthalpy of formation of this compound on admixture of Ni.[28] In the Sn76Ag3Cu21 alloy, two Cu–Sn IMCs were found, namely Cu3Sn and Cu6Sn5. According to the Cu–Sn phase diagram, Cu3Sn should be formed in the investigated alloy during cooling and should decompose under equilibrium conditions into pure Sn and Cu6Sn5 at 681 K.[29] However, the cooling of the sample after the calorimetric measurement was certainly not slow enough to reach an equilibrium state, thus Cu3Sn grains are left as can be seen in the microstructure.
Fig. 4
BSE micrographs of (Sn-4.1Ag-1.3Cu)100−Cu (a) – Sn76Ag3Cu21; (b) – Sn83Ag4Cu13) and (Sn-4.1Ag-1.3Cu)100−Ni (c) – Sn81Ag4Cu1Ni14; (d) – Sn91Ag4Cu1Ni4) samples after calorimetry.
SEM-EDX results of (Sn-4.1Ag-1.3Cu)100−Cu and (Sn-4.1Ag-1.3Cu)100−Ni samples after calorimetry
Sample
Temperature of calor. meas. (K)
Dropped component
Phase 1
Phase 2
Phase 3
Phase 4
Sn at%
Ag at%
Sn at%
Cu at%
Ni at%
Sn at%
Ni at%
Cu at%
Sn at%
Sn76Ag3Cu21 1st meas.
1073
bulk Cu
βSn
100
Ag3Sn
75
25
Cu6Sn5
53
—
47
—
—
—
—
Cu3Sn
74
—
26
—
—
—
Sn83Ag4Cu13 2nd meas.
873
nano Cu
βSn
100
Ag3Sn
73
27
Cu6Sn5
53
—
47
—
—
—
—
Sn81Ag4Cu1Ni14 1st meas.
1073
bulk Ni
βSn
100
Ag3Sn
76
24
(Cu,Ni)6Sn5
34
18
48
(Ni,Cu)3Sn4
39
3
58
Sn91Ag4Cu1Ni4 1st meas.
873
nano Ni
βSn
100
Ag3Sn
73
27
(Cu,Ni)6Sn5
34
19
50
(Ni,Cu)3Sn4
40
2
58
After the experiments with bulk Cu and Ni, the corresponding experiments with nano-particles were performed (Tables 5 and 6). The excess enthalpies due to the nano-effect were estimated, similarly as in ref. 19, by comparing the measured enthalpy values obtained with bulk and nanosized particles (Fig. 5 and 6).
Enthalpies of mixing data for the addition of nano Cu into the liquid Sn-4.1Ag-1.3Cu alloy; standard states: pure liquid metals
Mol nano-sized Cu dropped
Measured enthalpy
Partial molar enthalpy
Integral molar enthalpy
nCu (10−3 mol)
(J mol−1)
xCua
ΔMixH̄Cu (J mol−1)
xCub
ΔMixH (J mol−1)
T = 1073 K; first measurement; starting amount: nAg= 1.9452 × 10−3mol; nCu= 0.6083 × 10−3mol; nSn= 44.4216 × 10−3mol
93
0.2233
34 199 ± 637
0.0024
14 ± 1104
0.0047
91 ± 13
0.2161
33 758 ± 629
0.0069
−427 ± 1127
0.0091
9 ± 26
0.2504
34 010 ± 633
0.0116
−175 ± 979
0.0141
−68 ± 39
0.2546
33 692 ± 627
0.0166
−492 ± 954
0.0191
−157 ± 51
0.2747
33 839 ± 630
0.0217
−346 ± 888
0.0243
−243 ± 63
0.2747
33 463 ± 623
0.0268
−722 ± 878
0.0294
−337 ± 74
0.3087
33 676 ± 627
0.0321
−509 ± 787
0.0349
−426 ± 85
0.3298
33 606 ± 622
0.0378
−579 ± 735
0.0407
−524 ± 96
0.3360
33 156 ± 617
0.0436
−1029 ± 712
0.0464
−629 ± 106
0.3482
33 233 ± 619
0.0493
−952 ± 688
0.0522
−733 ± 116
0.3544
33 470 ± 623
0.0551
−715 ± 681
0.0580
−836 ± 126
0.3562
32 910 ± 613
0.0609
−1275 ± 666
0.0637
−943 ± 136
0.3624
33 115 ± 617
0.0665
−1069 ± 659
0.0692
−1047 ± 145
0.3691
32 364 ± 603
0.0719
−1821 ± 632
0.0746
−1151 ± 153
0.3913
33 257 ± 619
0.0775
−928 ± 613
0.0803
−1250 ± 161
0.3954
32 276 ± 601
0.0831
−1909 ± 589
0.0860
−1358 ± 169
0.4237
33 125 ± 617
0.0889
−1059 ± 564
0.0918
−1462 ± 177
0.4345
32 461 ± 604
0.0946
−1724 ± 539
0.0974
−1571 ± 184
0.6205
32 701 ± 609
0.1014
−1483 ± 380
0.1054
−1677 ± 190
T = 1073 K; second measurement; starting amount: nAg= 1.9755 × 10−3mol; nCu= 0.6177 × 10−3mol; nSn= 45.1128 × 10−3mol
93
0.2332
33 688 ± 794
0.0024
−170 ± 882
0.0048
90 ± 16
0.1613
33 499 ± 789
0.0064
−359 ± 1296
0.0081
6 ± 32
0.1933
33 488 ± 789
0.0100
−370 ± 1058
0.0119
−51 ± 48
0.2653
33 506 ± 789
0.0144
−353 ± 772
0.0170
−119 ± 63
0.2273
33 140 ± 781
0.0191
−718 ± 891
0.0212
−209 ± 77
0.2760
33 028 ± 778
0.0237
−830 ± 731
0.0262
−286 ± 91
0.3389
33 049 ± 779
0.0292
−810 ± 596
0.0322
−377 ± 105
0.1684
33 079 ± 779
0.0336
−779 ± 1200
0.0350
−484 ± 118
0.2893
32 908 ± 775
0.0375
−951 ± 695
0.0399
−536 ± 131
0.3051
32 717 ± 771
0.0424
−1142 ± 655
0.0449
−626 ± 143
0.2855
32 876 ± 774
0.0472
−982 ± 703
0.0495
−717 ± 155
0.3051
32 934 ± 776
0.0519
−925 ± 659
0.0543
−799 ± 167
0.3317
32 732 ± 771
0.0569
−1126 ± 603
0.0594
−888 ± 178
0.3277
32 491 ± 765
0.0618
−1367 ± 606
0.0643
−981 ± 189
0.3157
32 893 ± 775
0.0665
−965 ± 636
0.0688
−1070 ± 200
0.3024
32 243 ± 760
0.0709
−1615 ± 651
0.0730
−1154 ± 210
0.3711
32 069 ± 755
0.0756
−1789 ± 528
0.0782
−1237 ± 220
T = 873 K; first measurement; starting amount: nAg= 1.8702 × 10−3mol; nCu= 0.5848 × 10−3mol; nSn= 42.7094 × 10−3mol
152
0.1134
26 783 ± 570
0.0012
−1597 ± 1335
0.0025
144 ± 13
0.1199
26 873 ± 572
0.0038
−1508 ± 1266
0.0051
93 ± 25
0.1321
26 885 ± 572
0.0065
−1495 ± 1150
0.0079
39 ± 37
0.1296
26 849 ± 570
0.0092
−1532 ± 1171
0.0106
−20 ± 49
0.1338
27 048 ± 576
0.0120
−1332 ± 1143
0.0134
−75 ± 61
0.1379
26 691 ± 568
0.0147
−1689 ± 1094
0.0161
−133 ± 72
0.1462
26 922 ± 573
0.0176
−1458 ± 1041
0.0190
−190 ± 83
0.1501
26 819 ± 571
0.0205
−1562 ± 1009
0.0220
−251 ± 95
0.1519
26 460 ± 563
0.0235
−1921 ± 984
0.0249
−313 ± 105
0.1677
26 439 ± 563
0.0265
−1942 ± 891
0.0281
−375 ± 116
0.1779
26 667 ± 568
0.0298
−1714 ± 847
0.0314
−442 ± 126
0.1892
26 616 ± 566
0.0332
−1765 ± 795
0.0349
−511 ± 136
0.1914
26 425 ± 562
0.0366
−1956 ± 780
0.0383
−584 ± 146
0.1980
26 148 ± 557
0.0401
−2233 ± 746
0.0418
−658 ± 156
0.2129
25 925 ± 552
0.0437
−2455 ± 688
0.0455
−734 ± 164
0.2246
26 184 ± 557
0.0474
−2197 ± 659
0.0494
−813 ± 174
0.2343
26 097 ± 555
0.0513
−2284 ± 630
0.0533
−895 ± 182
0.3362
26 195 ± 558
0.0561
−2186 ± 440
0.0589
−981 ± 190
0.3904
25 837 ± 550
0.0621
−2544 ± 374
0.0653
−1104 ± 198
0.0850
25 601 ± 545
0.0658
−2780 ± 1702
0.0664
−1234 ± 206
T = 873 K; second measurement; starting amount: nAg= 1.9152 × 10−3mol; nCu= 0.5989 × 10−3mol; nSn= 43.7365 × 10−3mol
152
0.3188
27 210 ± 571
0.0034
−1143 ± 953
0.0068
140 ± 12
0.3780
26 649 ± 559
0.0107
−1704 ± 787
0.0146
−2±24
0.4031
26 564 ± 557
0.0185
−1789 ± 736
0.0225
−164 ± 35
0.4044
26 627 ± 559
0.0264
−1725 ± 735
0.0303
−329 ± 45
0.4038
26 629 ± 559
0.0340
−1723 ± 736
0.0377
−489 ± 55
0.4165
26 253 ± 551
0.0414
−2100 ± 706
0.0452
−646 ± 65
0.4239
26 231 ± 550
0.0488
−2122 ± 691
0.0525
−803 ± 75
0.4250
25 600 ± 537
0.0560
−2753 ± 672
0.0595
−961 ± 83
0.4375
25 995 ± 545
0.0630
−2358 ± 663
0.0665
−1113 ± 92
0.4487
25 936 ± 544
0.0700
−2416 ± 645
0.0735
−1263 ± 100
0.4675
25 889 ± 543
0.0770
−2464 ± 618
0.0806
−1413 ± 108
0.4745
25 845 ± 542
0.0840
−2508 ± 608
0.0875
−1565 ± 116
0.4820
25 517 ± 535
0.0909
−2835 ± 591
0.0943
−1717 ± 123
0.4834
25 315 ± 531
0.0976
−3038 ± 584
0.1010
−1867 ± 130
0.4838
25 371 ± 532
0.1042
−2981 ± 585
0.1073
−2015 ± 137
0.4957
25 077 ± 526
0.1104
−3276 ± 565
0.1135
−2157 ± 143
0.5133
25 438 ± 534
0.1167
−2915 ± 553
0.1199
−2295 ± 149
0.5271
24 826 ± 521
0.1231
−3527 ± 526
0.1263
−2440 ± 155
0.5745
25 129 ± 527
0.1297
−3223 ± 488
0.1330
−2583 ± 160
Average of xCu before and after drop.
Per mole of the mixture.
Enthalpies of mixing data for the addition of nano Ni into the liquid Sn-4.1Ag-1.3Cu alloy; standard states: pure liquid metals
mol nano-sized Ni dropped
Measured enthalpy
Partial molar enthalpy
Integral molar enthalpy
nNi (10−3 mol)
(J mol−1)
xNia
ΔMixH̄Ni (J mol−1)
xNib
ΔMixH (J mol−1)
T = 1073 K; first measurement; starting amount: nAg= 3.6656 × 10−3mol; nCu= 1.1462 × 10−3mol; nSn= 83.7083 × 10−3mol
93
0.7417
−13861 ± 554
0.0041
−49400 ± 543
0.0083
−318 ± 5
0.7656
−13684 ± 547
0.0124
−49222 ± 516
0.0166
−759 ± 9
0.7858
−13867 ± 555
0.0207
−49406 ± 512
0.0248
−1200 ± 14
1.1022
−13626 ± 545
0.0305
−49164 ± 357
0.0361
−1787 ± 18
0.9587
−13915 ± 556
0.0409
−49453 ± 422
0.0456
−2300 ± 22
0.9615
−13856 ± 554
0.0502
−49394 ± 418
0.0548
−2793 ± 26
1.1326
−14329 ± 573
0.0601
−49867 ± 372
0.0653
−3350 ± 30
1.1366
−14293 ± 572
0.0704
−49832 ± 369
0.0754
−3897 ± 34
1.1458
−13471 ± 539
0.0804
−49010 ± 338
0.0853
−4421 ± 37
1.1778
−14456 ± 578
0.0902
−49994 ± 362
0.0951
−4947 ± 41
1.2029
−14130 ± 565
0.0999
−49669 ± 343
0.1047
−5467 ± 44
1.2095
−14599 ± 584
0.1095
−50137 ± 357
0.1142
−5978 ± 48
1.2590
−14164 ± 566
0.1189
−49702 ± 329
0.1236
−6483 ± 51
1.2684
−15096 ± 604
0.1281
−50635 ± 356
0.1326
−6979 ± 54
1.3939
−14345 ± 574
0.1375
−49884 ± 303
0.1424
−7503 ± 57
1.4623
−15264 ± 610
0.1474
−50803 ± 314
0.1523
−8048 ± 60
1.4931
−15142 ± 606
0.1572
−50681 ± 304
0.1621
−8582 ± 63
1.5044
−14769 ± 591
0.1668
−50308 ± 292
0.1715
−9098 ± 64
T = 1073 K; second measurement; starting amount: nAg= 1.7663 × 10−3mol; nCu= 0.5523 × 10−3mol; nSn= 40.3348 × 10−3mol
93
0.4599
−13541 ± 587
0.0053
−49053 ± 918
0.0106
−428 ± 10
0.4871
−13539 ± 587
0.0160
−49051 ± 866
0.0214
−1000 ± 20
0.5091
−13755 ± 596
0.0268
−49267 ± 847
0.0323
−1578 ± 30
0.5175
−13421 ± 581
0.0376
−48933 ± 805
0.0429
−2141 ± 39
0.5516
−13324 ± 577
0.0484
−48836 ± 748
0.0539
−2718 ± 47
0.6021
−13307 ± 577
0.0596
−48820 ± 684
0.0654
−3322 ± 55
0.6275
−14081 ± 610
0.0711
−49594 ± 710
0.0769
−3940 ± 64
0.6496
−13815 ± 599
0.0826
−49327 ± 668
0.0883
−4545 ± 72
0.6757
−14440 ± 626
0.0940
−49952 ± 682
0.0997
−5162 ± 80
0.6847
−15378 ± 666
0.1053
−50891 ± 733
0.1109
−5780 ± 88
0.7012
−15195 ± 658
0.1164
−50707 ± 704
0.1219
−6384 ± 69
0.7162
−15503 ± 672
0.1273
−51015 ± 708
0.1326
−6977 ± 104
0.7427
−15479 ± 671
0.1380
−50991 ± 681
0.1433
−7568 ± 111
0.7497
−14992 ± 650
0.1485
−50504 ± 647
0.1537
−8134 ± 118
T = 873 K; first measurement; starting amount: nAg= 1.9944 × 10−3mol; nCu= 0.6236 × 10−3mol; nSn= 45.5455 × 10−3mol
152
0.5701
−21187 ± 669
0.0058
−51159 ± 991
0.0116
−447 ± 12
0.5162
−21731 ± 687
0.0167
−51703 ± 1128
0.0218
−1014 ± 24
0.5665
−21908 ± 692
0.0272
−51880 ± 1038
0.0327
−1612 ± 36
0.8113
−22802 ± 720
0.0401
−52774 ± 759
0.0476
−2441 ± 48
0.8229
−22080 ± 698
0.0549
−52052 ± 721
0.0621
−3248 ± 59
1.0979
−22729 ± 718
0.0714
−52701 ± 559
0.0807
−4279 ± 69
0.6052
−23010 ± 727
0.0856
−52981 ± 1029
0.0905
−4860 ± 80
0.2324
−22454 ± 709
0.0922
−52426 ± 2604
0.0939
−5075 ± 91
T = 873 K; second measurement; starting amount: nAg= 1.8391 × 10−3mol; nCu= 0.5751 × 10−3mol; nSn= 41.9986 × 10−3mol
152
0.2662
−21613 ± 474
0.0030
−51585 ± 1005
0.0059
−157 ± 9
0.2395
−21910 ± 481
0.0086
−51882 ± 1135
0.0112
−450 ± 19
0.4425
−22942 ± 484
0.0159
−52014 ± 619
0.0207
−962 ± 28
0.3227
−22008 ± 483
0.0240
−51980 ± 847
0.0273
−1341 ± 37
0.5358
−22191 ± 487
0.0327
−52163 ± 515
0.0382
−1931 ± 46
0.7365
−22375 ± 491
0.0454
−52347 ± 378
0.0526
−2723 ± 54
0.5059
−21987 ± 483
0.0573
−51959 ± 539
0.0620
−3261 ± 62
0.6155
−22840 ± 501
0.0675
−52811 ± 464
0.0731
−3881 ± 69
0.2582
−22827 ± 501
0.0753
−52799 ± 1105
0.0775
−4152 ± 78
Average of xNi before and after drop.
Per mole of the mixture.
Fig. 5
Concentration dependencies of the measured enthalpy effect for (Sn-4.1Ag-1.3Cu)100−Cu at 1073 K (a) and 873 K (b) (■ – for additions of bulk Cu; □ – for additions of nanosized Cu).
Fig. 6
Concentration dependencies of the measured enthalpy effect for (Sn-4.1Ag-1.3Cu)100−Ni at 1073 K (a) and 873 K (b) (■ – for additions of bulk Ni; □ – for additions of nanosized Ni).
Average of xCu before and after drop.Per mole of the mixture.Average of xNi before and after drop.Per mole of the mixture.In order to estimate values of the excess enthalpy, the concentration dependencies of the measured enthalpy for additions of Cu and Ni in bulk and nanosized form were plotted as a function of the content of the added element and extrapolated to zero. The estimated value of ΔHexi,nano for Cu additions was found to be about −17.0 ± 1.2 kJ mol−1 at 1073 K and −18.5 ± 1.3 kJ mol−1 at 873 K (Fig. 5). The corresponding value of ΔHexi,nano for Ni was found as about −3.8 ± 1.6 kJ mol−1 at 1073 K and −3.3 ± 1.5 kJ mol−1 at 873 K (Fig. 6).The TEM analysis together with HAADF STEM (high angle annular dark field – scanning transmission electron microscopy) imaging should bring essential information about the characteristics of the employed Cu and Ni NPs in order to explain the significant difference in the values of the excess surface enthalpy. Fig. 7 and 8 show examples of the TEM micrographs of Cu and Ni NPs which show that the NPs (including oxide shell) are of similar size, considering the original size distribution.
Fig. 7
TEM bright field image (a) and HAADF STEM image (b) with corresponding EDX linescan (c) of Cu NPs.
Fig. 8
TEM bright field image (a) and HAADF STEM image (b) with corresponding EDX linescan (c) of Ni NPs.
Furthermore, EDX elemental mapping of Cu NPs showed an oxide shell (Cu2O) covering a metal core (Fig. 7(a–c)). These data are in a good agreement with XRD analysis indicating the presence of both Cu and Cu2O (cubic, see ref. 30) in the investigated Cu nanopowder (Fig. 9a). In the case of Ni NPs, only traces of NiO (trigonal/rhombohedral, see ref. 31) with very low intensity were found in the XRD pattern (Fig. 9b); only minor amounts of oxygen were found on the surface of the Ni NPs (Fig. 8b and c). The first broad peak in the X-ray patterns is caused by the specimen holder with the polycarbonate cap.
Fig. 9
XRD patterns of Cu (a) and Ni NPs (b).
Pore size distributions of Cu and Ni NPs were measured by nitrogen sorption according to the theory of Barrett, Joyner and Halenda (BJH) (Fig. 10a and b). The determined BET surface area of the employed NPs is equal to (10.6 ± 0.4) 103 m2 kg−1 for Cu NPs and (10.2 ± 0.4) 103 m2 kg−1 for Ni NPs.
Fig. 10
BET isotherm and BJH pore size distribution of Cu (a) and Ni NPs (b).
Theoretical considerations
The goal of this chapter is to model the observed ΔHexi,nanovalues by applying the principles of nano-thermodynamics.[32-34] In a previous paper[19] the nano-effect was described aswhere ABET (m2 g−1) is the BET surface area of the nano-particles (which is assumed to be negligible for bulk material), M (g mol−1) is the molar mass of the nano-particles, σsg,H, (J m−2) is the enthalpy part of the surface energy of the solid nano-particles at the drop temperature. (Note that in the present paper the sign of ΔHexi,nano is kept positive contrary to the previous paper,[19] thus a negative sign appears in eqn (1); this is done for two reasons: to avoid predicting anything before the experiments are run, and to make more obvious that the nano-effect is exothermic). The physical meaning of eqn (1) is the loss (see the negative sign) of the enthalpy part of the surface energy of the nano-particles upon dissolution per mole of metal added. The calculated and experimental results for the systems studied in this paper are compared in Table 7.
Calculated and measured nano-effects (ΔHexi,nano, kJ mol−1) without considering the influence of the oxide shell on the nano-particles
Metal
ABET (m2 g−1)
M (g mol−1)
σsg,H,TD) J m−2)[35]
ΔHexi,nanoeqn (1)
ΔHexi,nano experiment
Cu
10.6 ± 0.4
63.55
1.93 ± 0.19
−1.3 ± 0.2
−17.8 ± 0.8
Ni
10.2 ± 0.4
58.69
2.36 ± 0.23
−1.4 ± 0.2
−3.5 ± 0.3
As follows from Table 7, the experimental values in this case are considerably more negative than the calculated ones, and this difference is especially striking for Cu nanoparticles. This is most probably due to the fact that eqn (1) is strictly valid only for pure metallic nano-particles without any oxide shell. However, as observed by the TEM and XRD investigations of the nano-particles (see Fig. 6–8), the Cu-nano-particles are severely contaminated by oxygen. Actually, instead of Cu-nano-particles we have core/shell nano-particles with a Cu inner core (α) and a Cu2O shell (β), which form together particle γ. A similar oxidation problem exists also for Ni nano-particles, however, to a much smaller extent. Therefore, the previous model in eqn (1) has to be modified to take into account the role of the oxide shells on the metallic nano-particles, too.When the experiments were performed, it was assumed that n0Me (mole) of pure metal was added into the calorimeter. Instead, the molar part y of these nano-particles was actually oxidized so that in fact the following amounts of matter were added:where α denotes the added metal, and β denotes its oxide shell MeO (where the stoichiometry is always written such that the oxide molecule contains one metallic atom, i.e., x can be any positive number). Thus, in addition to eqn (1), there are two additional terms for the enthalpy nano-effect: one is responsible for different heat capacities of α (metal) and β (oxide), while the other one is responsible for the chemical interaction between β and metal atoms in the liquid alloy (in our case these are mostly atoms of Sn), into which the nano-particles are added:where Mγ is the average molar mass of the partly oxidized particle as defined by eqn (5), σ is the effective enthalpy part of the surface energy of the partly oxidized particle as defined by eqn (6), and ΔHC (J mol−1) is the enthalpy difference due to the different heat capacities of the oxide and the metal as defined by eqn (7); ΔH0 (J mol−1) is the standard molar enthalpy change of the chemical reaction: MeO + ySn = SnO + Me (or, which is the same: β + ySn = SnO + α, where the stoichiometry is always written such that the oxide molecule contains one metallic atom, i.e., x can be any positive number):where M (g mol−1) is the molar mass of the metal core, M (g mol−1) is the molar mass of the oxide shell, σ (J m−2) is the enthalpy part of the α/β interfacial energy, σ (J m−2) is the enthalpy part of the surface energy of the oxide shell, σ (J m−2) is the enthalpy part of the surface energy of the metallic core, d (nm) is the thickness of the oxide shell, δ ≅ 1 nm is the coefficient in the separation dependence of interfacial energies,[36]CP, (J (mol K)−1) is the molar heat capacity of the oxide shell of the nano-particle, CP, (J (mol K)−1) is the molar heat capacity of the metallic inner core of the nano-particle. When the oxide shell is thin, it is modelled as a shell of constant thickness following the original shape of the nano-particle. If this thickness is much smaller than the radius of the nano-particle, the BET surfacse area of the outer oxide/gas surface and the BET interfacial area of the inner metal/oxide interface are considered equal.In order to check whether the proposed reactions are exergonic and favorable or not, the free energy change for the reactions was estimated from the Gibbs energy of formation values of the oxides of copper (ΔfGCu), nickel (ΔfGNiO) and tin (ΔfGSnO). In the present case, there are two chemical exchange reactions, i.e. (Cu2O + 1/2Sn1/2SnO2 + 2Cu) and (NiO + 1/2Sn1/2SnO2 + Ni). It is assumed that the Gibbs energy change for the first reaction can be obtained as ΔrG(NiO/SnO = 1/2ΔfGSnO − ΔfGNiO and that for the second reaction as ΔrG(Cu = 1/2ΔfGSnO − ΔfGCu. The Gibbs energies of formation for the oxides at 1073 K and 873 K were taken from ref. 37 and 38. Based on the obtained results, the calculated Gibbs energy change for the reactions is exothermic at both temperatures and equals −93.3 kJ mol−1 and −86.9 kJ mol−1 for ΔrG(Cu, and −38.2 kJ mol−1 and −34.5 kJ mol−1 for ΔrG(NiO/SnO at 873 K and 1073 K, respectively.The amount of matter of the oxide shell can be expressed from its geometry as:where ρ (g m−3) is the density of the oxide shell. The quantities expressed by eqn (3) and (8) are equal. Consequently, the thickness of the oxide shell (d) can be expressed as function of the mole fraction of the oxidized part of the nano-particle (y), as:Let us also mention that for y = 0, eqn (4) becomes identical to eqn (1), being a reasonable boundary condition. Substituting eqn (5)–(7) and (9) into eqn (4), the excess nano heat effect can be calculated as function of y for partly oxidized metallic nano-particles.The corresponding constants are given in Table 7. In this paper, the selection Sn was made (for the values in the last column of Table 8), as Sn has the highest affinity towards oxygen and the highest mole fraction in the liquid alloy among its components (Sn, Cu, Ag). The results calculated based on Table 8 are compared with experimental data in Fig. 11 and 12.
Parameters to calculate the excess nano heat effect ΔHexpi,nano (kJ mol−1) by eqn (4)–(7) and (9)a
Metal
ABET (m2 g−1)
Mα (g mol−1)
βx
M (g mol−1)
ρβ (g cm−3)
σα,H,TD (J m−2)
σβ,H,TD (J m−2)
σα/β,H,TD (J m−2)
T (K)
ΔHCp (kJ mol−1)
ΔrH0 (kJ mol−1)
Cu
10.6
63.55
0.5
71.55
6.0
1.93
0.7
1.93
873
6.00
−71.05
Cu
10.6
63.55
0.5
71.55
6.0
1.93
0.7
1.93
1073
8.40
−75.01
Ni
10.2
58.69
1
74.69
7.45
2.36
0.9
2.36
873
13.96
−61.84
Ni
10.2
58.69
1
74.69
7.45
2.36
0.9
2.36
1073
18.208
−64.33
Density is from ref. 39, interfacial energies are from ref. 35 and 40, and enthalpy data are from ref. 41.
Fig. 11
Comparison of experimental data (dotted horizontal lines) with theoretical values (bold lines) at two temperatures for the dependence of the excess nano enthalpy effect on the ratio of oxidation of the Cu nanoparticles. Calculated by eqn (5)–(7) and (9) and parameters of Table 8.
Fig. 12
Comparison of experimental data (dotted horizontal lines) with theoretical values (bold lines) at two temperatures for the dependence of the excess nano enthalpy effect on the ratio of oxidation of the Ni nanoparticles. Calculated by eqn (4)–(7) and (9) and parameters of Table 8.
Density is from ref. 39, interfacial energies are from ref. 35 and 40, and enthalpy data are from ref. 41.As follows from Fig. 11 and 12, the experimental results can be reproduced with y = 0.24 ± 0.02 for Cu-nanoparticles and with y = 0.039 ± 0.004 for Ni-nanoparticles. These values are in qualitative agreement with Fig. 7–9. Thus, our new extended model is able to describe the nano heat effect for the dissolution of partly oxidized nano-particles.
The presented experimental results show clearly that an extra exothermic heat effect (nano-heat effect) is observed when bulk pieces are replaced by nano-particles in drop calorimetric measurements. First of all, this is due to the loss of the large surface area of the nano-particles upon their dissolution. However, when the nano-particles are covered with a surface oxide shell, resulting in an exothermic chemical reaction with the solvent (a liquid alloy in the present case), the measured nano-effect can become even more exothermic, especially if the reaction enthalpy is strongly negative. This effect has been examined here on the example of the core/shell Cu/Cu2O and Ni/NiO nano-particles dropped into Sn-rich liquid alloys.
Authors: Andriy Yakymovych; George Kaptay; Ali Roshanghias; Hans Flandorfer; Herbert Ipser Journal: J Phys Chem C Nanomater Interfaces Date: 2016-01-20 Impact factor: 4.126
Authors: A Yakymovych; Yu Plevachuk; V Sklyarchuk; B Sokoliuk; T Galya; H Ipser Journal: J Phase Equilibria Diffus Date: 2017-03-10 Impact factor: 1.468