Physical properties data of extruded composites from recycled wind turbine blade material.

Wind turbine blades (WTB) mechanically recycled and used as a feedstock for thermoplastic composites. Physical properties (water sorption (WA), Thickness swelling (TS)) dataset of composites made from recycled wind turbine blades presented. Dataset also presented the influence of resin level, mill screen size and coupling agents on the physical properties of composites (Mamanpush et al., 2019).

Data

Presented dataset include influence of refined particle size, resin content and coupling agents (maleic anhydride polyethylene (MAPE) and methacryloxypropyltriethoxysilane (Silane) on the physical properties (Water sorption and thickness swelling) of extruded composites (Table 2, Table 3) (see Table 1).

Table 2

Water sorption of rWTB composites.

WA	Time (Hour)
	6	24	48	72	168	336
1–1	1.38600139	2.32155232	3.53430353	4.22730423	6.44490644	9.56340956
1–2	1.29779025	2.0343739	3.12171168	3.7530691	5.68221677	8.20764644
1–3	1.21233114	2.45930031	3.84482161	4.3643921	6.99688258	10.0103914
AVE	1.29870759	2.27174218	3.50027894	4.11492181	6.3746686	9.26048247
STD	0.08683876	0.21679806	0.3627537	0.32078234	0.66014132	0.93877365
3–1	0.10427529	0.10427529	0.34758429	0.52137643	0.52137643	0.72992701
3–2	−0.035791	0.03579098	0.32211883	0.46528275	0.46528275	0.68002863
3–3	0.1025641	0.1025641	0.44444444	0.44444444	0.58119658	0.68376068
Ave	0.05701614	0.08087679	0.37138252	0.47703454	0.52261859	0.69790544
STD	0.08037787	0.03905483	0.06454189	0.03978959	0.0579669	0.0277942
4–1	0.26782725	0.23434884	0.30130566	0.33478406	2.1091396	0.66956813
4–2	0.06578947	0.23026316	0.32894737	0.32894737	0.78947368	0.75657895
4–3	0.22668394	0.3238342	0.42098446	0.51813472	0.87435233	0.87435233
AVE	0.18676689	0.2628154	0.35041249	0.39395538	1.25765521	0.76683314
STD	0.10677005	0.0528833	0.06266033	0.10758205	0.73862735	0.10277647
5–1	0.19367334	0.22595223	0.45190445	0.45190445	0.87153002	0.96836669
5–2	0.18969333	0.18969333	0.50584888	0.56907999	0.91685109	1.13815997
5–3	0.25157233	0.25157233	0.56603774	0.56603774	0.6918239	0.97484277
AVE	0.21164633	0.22240596	0.50793036	0.52900739	0.826735	1.02712314
STD	0.03463414	0.03109155	0.0570951	0.06679043	0.11901367	0.09621522
6–1	0.46714419	0.46714419	3.92401121	0.8097166	1.15228901	1.71286204
6–2	0.31191516	0.49906425	0.81097941	0.84217093	1.24766064	1.59076731
6–3	0.24653313	0.24653313	0.58551618	0.73959938	1.201849	1.60246533
Ave	0.34186416	0.40424719	1.77350227	0.7971623	1.20059955	1.63536489
STD	0.1133138	0.1375137	1.8658041	0.05242555	0.04769809	0.06736888
7–1	0.420021	0.420021	0.420021	0.6300315	0.73503675	0.66503325
7–2	0.16909029	0.30436253	0.43963476	0.574907	0.74399729	0.81163341
7–3	0	0	0.31120332	0.5186722	0.38035961	0.44951591
AVE	0.19637043	0.24146118	0.39028636	0.5745369	0.61979789	0.64206086
STD	0.2113352	0.21696047	0.06918649	0.05568057	0.20740802	0.18214848
8–1	0.36654449	0.36654449	0.43318894	0.7664112	0.96634455	1.26624459
8–2	0.35935969	0.35935969	0.35935969	0.65338125	0.68605031	1.01274093
8–3	0.39499671	0.39499671	0.62541145	0.62541145	0.75707702	1.11915734
Ave	0.37363363	0.37363363	0.47265336	0.68173463	0.8031573	1.13271429
STD	0.01884652	0.01884652	0.13734616	0.07465365	0.14571808	0.12729442
9–1	0.34188034	0.41025641	0.85470085	0.99145299	1.43589744	2.01709402
9–2	0.50150451	0.46807088	1.00300903	1.00300903	1.33734537	2.07288532
9–3	0.35959464	0.35959464	0.55573717	0.71918928	1.01340307	1.47106898
AVE	0.40099316	0.41264064	0.80448235	0.90455043	1.26221529	1.85368277
STD	0.08749484	0.05427741	0.22782549	0.16063142	0.2210402	0.33252542
10–1	1.11196319	1.80214724	2.45398773	2.33895706	4.17944785	5.98159509
10–2	0.97891566	1.65662651	2.37198795	2.40963855	4.25451807	5.76054217
10–3	1.09186747	1.73192771	2.29668675	2.44728916	4.21686747	6.02409639
AVE	1.06091544	1.73023382	2.37422081	2.39862826	4.21694446	5.92207788
STD	0.07172121	0.07277515	0.07867426	0.05499892	0.03753517	0.14149887
11–1	1.29589633	1.94384449	2.73578114	2.87976962	5.00359971	7.37940965
11–2	1.00610852	1.97628458	2.94646065	3.05425799	5.13833992	7.22242185
11–3	1.1187297	1.94875496	2.99530855	3.06748466	5.26885601	7.18152292
AVE	1.14024485	1.95629468	2.89251678	3.00050409	5.13693188	7.26111814
STD	0.14608703	0.01748501	0.13791692	0.10476806	0.13263375	0.10446455
12–1	0.76306753	1.37352156	1.67874857	1.67874857	2.97596337	4.19687142
12–2	0.94126506	1.35542169	1.6189759	1.69427711	2.89909639	4.10391566
12–3	0.9859689	1.36518771	1.55479712	1.82025028	2.99582859	4.32309443
AVE	0.89676717	1.36471032	1.6175072	1.73109199	2.95696278	4.2079605
STD	0.11792499	0.00905937	0.06198878	0.07760274	0.05108862	0.11000936
14–1	0.32822757	0.21881838	0.3646973	0.3646973	0.43763676	0.83880379
14–2	0.36900369	0.14760148	0.73800738	0.29520295	0.66420664	0.70110701
14–3	0.37133309	0.33419978	0.4455997	0.37133309	0.66839955	0.66839955
AVE	0.35618812	0.23353988	0.51610146	0.34374445	0.59008099	0.73610345
STD	0.02424254	0.0941662	0.19638731	0.0421689	0.13203722	0.0904321
15–1	0.25362319	0.32608696	0.36231884	0.32608696	0.57971014	0.76086957
15–2	0.18375597	0.40426314	0.29400956	0.14700478	0.69827269	0.77177508
15–3	−0.2624672	−0.2249719	−0.1874766	−0.0749906	0.33745782	0.2999625
AVE	0.05830399	0.16845941	0.15628394	0.13270037	0.53848022	0.61086905
STD	0.27998387	0.34295628	0.29965815	0.20092105	0.18390697	0.26930817
16–1	0.20869565	0.34782609	0.34782609	0.34782609	0.90434783	1.32173913
16–2	0.39468963	0.21528525	0.32292788	0.35880875	0.89702189	1.4711159
16–3	0.50596314	0.1445609	0.28912179	0.32526202	0.93964583	1.33718829
AVE	0.36978281	0.23589075	0.31995859	0.34396562	0.91367185	1.37668111
STD	0.15019072	0.10318733	0.02946457	0.01710331	0.02279042	0.08214692
17–1	0.35101404	0.27301092	0.23400936	0.07800312	0.54602184	0.54602184
17–2	0.73367572	0.18341893	0.2567865	0.11005136	0.33015407	0.44020543
17–3	0.07501875	0.11252813	0.30007502	0	0.3375844	0.37509377
AVE	0.3865695	0.18965266	0.26362363	0.06268483	0.40458677	0.45377368
STD	0.33076486	0.08042279	0.03355931	0.05660223	0.12254269	0.08626804
18–1	0.27500859	0.58439326	0.1375043	0	0.34376074	0.41251289
18–2	0.42179262	0.24604569	0.456942	0.10544815	0.38664323	0.56239016
18–3	0.36483035	6.31156512	0.25538125	0.25538125	0.54724553	0.5107625
AVE	0.35387719	2.38066803	0.28327585	0.12027647	0.42588317	0.49522185
STD	0.07400248	3.40845768	0.16153543	0.12833474	0.10726763	0.07613759
19–1	0.32585083	0.25343954	0.39826213	0.25343954	0.43446778	0.28964518
19–2	0.5788712	0.4341534	0.2894356	0.2170767	0.39797395	0.4341534
19–3	0.5409304	0.5409304	0.39668229	0.14424811	0.39668229	0.5409304
AVE	0.48188414	0.40950778	0.36146001	0.20492145	0.40970801	0.42157633
STD	0.13645392	0.14532138	0.06237997	0.0556013	0.02145231	0.12611385
20–1	0.75458139	0.89831117	0.89831117	0.71864894	1.36543299	1.50916277
20–2	0.68592058	0.72202166	0.97472924	0.68592058	1.37184116	−2.0216606
20–3	0.65288357	0.65288357	0.87051143	0.87051143	1.41458107	1.59593761
AVE	0.69779518	0.7577388	0.91451728	0.75836031	1.38395174	0.36114658
STD	0.05187838	0.12655221	0.05396588	0.09849462	0.02671859	2.06402766
21–1	0.51564111	1.10003438	1.13441045	1.0656583	1.85630801	2.44070127
21–2	0.82107424	1.23161136	1.43687992	1.26582278	1.91583989	2.565857
21–3	0.48933939	0.83886753	1.08353722	1.04858441	1.71268787	2.09716882
AVE	0.60868491	1.05683775	1.21827586	1.1266885	1.82827859	2.36790903
STD	0.18440408	0.19990345	0.19101785	0.12079587	0.10443621	0.24267506
22–1	0.60341938	0.80455917	0.97217566	1.00569896	1.57559504	2.4807241
22–2	−2.525089	−2.2661055	−2.3308514	−2.4279702	−1.8776303	−1.1654257
22–3	0.66334992	0.89552239	1.09452736	1.09452736	1.52570481	2.08955224
AVE	−0.4194399	−0.1886747	−0.0880495	−0.109248	0.40788985	1.13495021
STD	1.82379181	1.79968271	1.94328663	2.00856349	1.97947569	2.00176194
13–1	1.45190563	2.50453721	3.19419238	3.4845735	5.51724138	7.87658802
13–2	1.61350844	2.73921201	3.48968105	3.78986867	5.74108818	8.33020638
13–3	1.47961025	2.52616384	3.39227716	3.28401299	5.48538434	7.65066763
AVE	1.51500811	2.58997102	3.35871686	3.51948505	5.58123797	7.95248734
STD	0.0864212	0.12969804	0.15057592	0.25472849	0.13934772	0.34606901
23–1	0.92751632	1.16798351	1.33974579	1.68327035	2.09549983	2.7481965
23–2	0.41710115	0.62565172	1.00799444	1.49461244	1.70316302	2.3983316
23–3	0.39145907	0.78291815	0.85409253	1.10320285	1.63701068	2.56227758
AVE	0.57869218	0.85885113	1.06727759	1.42702855	1.81189117	2.56960189
STD	0.30236251	0.27902564	0.24819477	0.29588049	0.24782945	0.17504741
24–1	0.86088154	0.96418733	1.99724518	2.3415978	2.7892562	3.71900826
24–2	0.96585029	1.48327009	1.41428079	1.82821663	2.72507761	4.00137979
24–3	0.85531005	1.17605132	1.53243051	1.99572345	2.67284391	4.52601568
AVE	0.89401396	1.20783625	1.64798549	2.05517929	2.72905924	4.08213458
STD	0.06227443	0.26099701	0.30818272	0.26180394	0.05830819	0.40951953
25–1	0.93717459	1.42311697	1.77021867	−0.8677543	3.50572718	4.99826449
25–2	0.8022323	2.02302058	1.95326125	3.38332752	3.73212417	5.4063481
25–3	0.63943162	1.98934281	1.84724689	2.45115453	3.51687389	5.11545293
AVE	0.79294617	1.81182679	1.85690894	1.65557593	3.58490841	5.17335517
STD	0.14908854	0.33705346	0.09190301	2.23442007	0.12761435	0.21011321
26–1	0.06445375	0.12890751	0.16113439	0.22558814	0.58008379	1.03126007
26–2	0.16051364	0.06420546	0.09630819	0.28892456	0.60995185	0.60995185
26–3	−3.0987734	0.74241446	0.19367334	−1.3879923	0.51646223	0.83925113
AVE	−0.9579353	0.31184248	0.15037197	−0.2911599	0.56883262	0.82682102
STD	1.85464218	0.37428701	0.04956678	0.95041247	0.04774954	0.21092898
27–1	0.09743423	0.61708347	0.422215	0.58460539	0.87690809	1.33160117
27–2	0.06482982	0.51863857	0.45380875	0.55105348	0.81037277	1.45867099
27–3	−3.0821918	0.249066	0.34246575	0.46699875	0.62266501	0.90286426
AVE	−0.9733092	0.46159601	0.40616317	0.53421921	0.76998195	1.23104547
STD	1.82641861	0.19052455	0.05738085	0.06058362	0.13184631	0.2912282
28–1	0.29870561	0.43146366	0.79654829	4.28144706	1.42714902	2.25688682
28–2	0.09686794	0.35518243	0.58120762	1.13012593	1.45301905	2.29254117
28–3	0.06347191	0.79339892	0.60298318	0.15867978	1.52332593	2.28498889
AVE	0.15301515	0.52668167	0.66024636	1.85675093	1.46783133	2.27813896
STD	0.12727178	0.23411167	0.118542	2.15529358	0.04976999	0.01878827
29–1	0.65638333	1.31276666	1.83787332	3.18345914	3.67574664	5.41516245
29–2	0.45469308	1.23416694	1.7213381	2.56576811	3.18285158	4.31958428
29–3	0.3796267	1.01233787	1.04397343	1.64504904	2.30939576	3.63808921
AVE	0.49690104	1.18642382	1.53439495	2.46475876	3.05599799	4.45761198
STD	0.14312474	0.15580089	0.42869577	0.77416315	0.69195199	0.89654117

Table 3

Thickness Swelling of rWTB composites.

TS	Time (Hour)
	6	24	48	72	168	336
1–1	1.34357006	1.9193858	2.87907869	3.07101727	4.03071017	6.90978887
1–2	1.17647059	1.37254902	2.15686275	2.35294118	2.94117647	5.88235294
1–3	0.390625	1.7578125	2.5390625	3.515625	3.515625	6.25
AVE	1.07719126	1.88250748	2.49425307	2.73670519	4.00320775	6.19092384
STD	0.436841	0.62651103	0.74600487	0.75687725	1.24807817	1.30199287
3–1	0.19646365	0.39292731	0.19646365	0.39292731	0.39292731	0.58939096
3–2	−0.1934236	0	0.1934236	0.1934236	0.1934236	0.1934236
3–3	0	0	0.19607843	0.19607843	0.19607843	0.19607843
AVE	0.09894653	0.19687046	0.29534228	0.376282	0.35994213	0.53911432
STD	0.17809808	0.20699947	0.28816856	0.28715019	0.31475993	0.42139192
4–1	0.38834951	0.38834951	0.38834951	0.38834951	0.38834951	0.58252427
4–2	0.19417476	0.19417476	0.19417476	0.19417476	0.19417476	0.38834951
4–3	0.38986355	0.38986355	0.38986355	0.38986355	0.38986355	0.58479532
AVE	−0.3980146	−0.3828752	−0.3170623	−0.204044	−0.204044	−0.139256
STD	2.18832097	2.13250353	2.15414735	2.1405359	2.1405359	2.16055287
5–1	0	0	0.38986355	0.19493177	0.19493177	0.38986355
5–2	−0.1949318	−0.1949318	0.19493177	0.19493177	0.19493177	0.38986355
5–3	0.7797271	0.58479532	0.58479532	0.58479532	0.58479532	1.16959064
AVE	0.08144579	0.1140296	0.24427191	0.24433549	0.27714502	0.45631251
STD	0.28165195	0.21136794	0.18858023	0.18870584	0.15524641	0.28043336
6–1	0.39447732	0.59171598	0.59171598	0.59171598	0.59171598	1.77514793
6–2	−0.3838772	−0.3838772	−0.3838772	−0.3838772	−0.3838772	0.57581574
6–3	0	0.19379845	0.19379845	1.5503876	1.5503876	0.58139535
AVE	0.1474104	0.14756587	0.22850867	0.40612686	0.43839561	0.61724491
STD	0.30198208	0.33344809	0.36086331	0.49986937	0.50422693	0.47455621
7–1	0.1934236	0.1934236	0.1934236	0.1934236	0.1934236	0.3868472
7–2	0	0	0	0	0	0.19267823
7–3	−0.1926782	−0.1926782	0.19267823	0.57803468	0.38535645	0.38535645
AVE	0.21108033	0.13011256	0.27527542	0.32369562	0.27521355	0.46898441
STD	0.40206211	0.42666573	0.40255408	0.45770628	0.41096147	0.51541174
8–1	1.35135135	0.19305019	0.38610039	0.57915058	0.57915058	0.57915058
8–2	0.38834951	0.38834951	0.77669903	0.77669903	0.58252427	0.38834951
8–3	0.19230769	0	0.19230769	0.38461538	0.38461538	0.19230769
AVE	0.24168687	0.09702298	0.32218921	0.35427149	0.37020353	0.35420841
STD	0.39590097	0.21018431	0.20845105	0.20009943	0.19308943	0.19975533
9–1	0.38910506	0.58365759	0.77821012	0.77821012	0.77821012	1.16731518
9–2	0	0	0.19417476	0.38834951	0.19417476	0.77669903
9–3	0.58365759	0	0.58365759	0.97276265	0.97276265	0.97276265
AVE	0.29208249	0.25965706	0.47045452	0.61652768	0.63296162	0.89258745
STD	0.22742628	0.23974072	0.25506103	0.24627839	0.31210161	0.30459653
10–1	0.97465887	1.36452242	1.55945419	1.75438596	2.33918129	3.11890838
10–2	0.97087379	1.3592233	1.55339806	1.3592233	3.10679612	3.68932039
10–3	0.96899225	1.35658915	1.5503876	1.74418605	2.90697674	3.48837209
AVE	0.93924515	1.3763653	12.7793702	1.76512773	2.671351	3.40008104
STD	0.1408145	0.13312951	38.7634936	0.24461778	0.25155569	0.29689494
11–1	0.19493177	0.7797271	1.16959064	1.55945419	2.53411306	4.87329435
11–2	0.77369439	1.35396518	1.93423598	1.74081238	3.09477756	4.25531915
11–3	0.96899225	1.35658915	1.5503876	1.74418605	2.90697674	3.87596899
AVE	0.74355564	1.3414807	1.34232715	1.56688996	3.00636989	4.42850976
STD	0.27278514	0.2677226	1.18942364	1.05880615	0.32678635	0.55792789
12–1	0.390625	0.9765625	0.9765625	1.171875	1.953125	2.5390625
12–2	0	0.97087379	0.77669903	1.16504854	2.13592233	3.10679612
12–3	0.58479532	0.58479532	0.97465887	1.36452242	1.75438596	2.53411306
AVE	0.53648238	0.82882239	1.02404158	1.30048443	1.90210493	2.48633694
STD	0.30179558	0.23827965	0.26759908	0.29627506	0.46289606	0.41204386
14–1	0	−0.2004008	−0.4008016	−0.6012024	−0.4008016	−0.4008016
14–2	−0.1984127	−0.1984127	0	0.1984127	0.1984127	0.1984127
14–3	0	−0.3883495	−0.5825243	−0.5825243	0	−0.3883495
AVE	−0.0161263	−0.0488251	−0.130796	−0.0976075	−0.0173348	0.03190921
STD	0.25651693	0.28908923	0.31559272	0.36800888	0.3399315	0.39075481
15–1	−0.1945525	−0.5836576	−0.5836576	−0.9727626	−0.5836576	−0.5836576
15–2	0	−0.1980198	0.1980198	0.3960396	−0.1980198	1.18811881
15–3	0.39138943	0.39138943	0.19569472	0	0.19569472	0.39138943
AVE	−0.0162461	−0.1302215	−0.1460722	−0.1610297	−0.1134273	0.14950775
STD	0.19468221	0.26762771	0.27805512	0.43938177	0.33737685	0.51058761
16–1	0.19646365	0.19646365	0.39292731	0.39292731	0.58939096	0.58939096
16–2	−0.5813953	994086.047	−0.7751938	−0.5813953	−0.1937984	−0.1937984
16–3	−0.1945525	0.19455253	−0.1945525	−0.3891051	0.19455253	0.58365759
AVE	0.00037806	82840.4726	−0.095772	−0.1929533	0.06582518	0.30798303
STD	0.28622208	286967.933	0.40869211	0.30964837	0.43950274	0.40004498
17–1	0	−0.2016129	−0.4032258	−0.2016129	−0.2016129	0
17–2	0	0	0	0.1980198	0	0.1980198
17–3	0.81466395	1.22199593	1.22199593	0.40733198	0.81466395	1.01832994
AVE	−0.064692	−0.0975942	−0.0980695	−0.3348163	−0.2162942	−0.1318899
STD	0.40459671	0.50561148	0.4761742	0.33628823	0.42520842	0.441013
18–1	0	−1.1764706	−0.1960784	−0.1960784	0	0.19607843
18–2	0.19455253	0	0	−0.1945525	0.19455253	0.19455253
18–3	0	0.1984127	0.1984127	0	0.1984127	0.1984127
AVE	−0.0489257	−0.3062381	−0.0314144	0.21561331	−0.0482565	0.03227607
STD	0.12131104	0.65828261	0.37916569	1.18094163	0.22204262	0.20050981
19–1	−1.3671875	−0.78125	−0.5859375	−0.9765625	−0.390625	−0.390625
19–2	0	−0.591716	−0.591716	−0.7889546	−0.591716	−0.591716
19–3	−0.1976285	0	0.39525692	0.19762846	0	0.19762846
AVE	−0.1466098	−0.2289037	−0.1963936	−0.3296205	−0.16573	−0.06602
STD	0.53788036	0.34552865	0.32588274	0.45772728	0.33735436	0.33041635
20–1	0.38535645	0.19267823	0.38535645	0.19267823	0.57803468	0.38535645
20–2	0.19267823	0	0.38535645	0	0.38535645	0.38535645
20–3	0.7751938	0.19379845	0.19379845	0.58139535	0.58139535	0.58139535
AVE	0.27374177	−0.6686711	0.11230324	0.12895148	0.28923636	0.32135168
STD	0.22559109	1.18698051	0.20912796	0.19047501	0.24009225	0.22258933
21–1	0.19267823	0.19267823	0.57803468	−0.3853565	0.96339114	1.15606936
21–2	0.19455253	0	0.19455253	0.19455253	0.38910506	0.58365759
21–3	0	−0.78125	−0.78125	−0.1953125	−0.5859375	−0.1953125
AVE	0.14613156	−0.5464804	0.03210618	−0.0312986	0.275407	0.43734752
STD	0.39018233	0.73633206	0.45924495	0.37613051	0.42585005	0.42270296
22–1	0.96899225	0.19379845	0.58139535	0.19379845	0.7751938	0.96899225
22–2	0	0	−0.1937984	−0.5813953	−0.1937984	0
22–3	0	−0.2312139	0	0.19267823	0.57803468	0.77071291
AVE	0.42175234	−0.4021977	0.09755729	0.16259986	0.56714062	0.69605818
STD	0.74102733	0.84167834	0.41784384	0.42831807	0.50776318	0.44293196
13–1	0.38387716	0.76775432	1.15163148	1.34357006	2.68714012	3.64683301
13–2	0.96153846	1.34615385	1.34615385	1.53846154	4.23076923	5.19230769
13–3	0.58479532	1.16959064	1.36452242	1.94931774	3.11890838	5.06822612
AVE	0.73845853	0.10642935	1.3329064	1.62187476	2.72896774	4.26703832
STD	0.34673284	1.88608293	0.48406853	0.40266763	0.76018646	0.90419193
23–1	0.39761431	0.59642147	1.19284294	1.19284294	1.19284294	2.7833002
23–2	0.19455253	0.58365759	0.58365759	0.77821012	1.55642023	2.14007782
23–3	0	0	0.19417476	0.38834951	0.77669903	0.97087379
AVE	0.37390277	0.50383382	0.73197899	0.74875775	1.10493553	1.8059298
STD	0.31464887	0.32509006	0.47049418	0.58554607	0.36317126	0.72839122
24–1	0.19920319	0.39840637	0.79681275	0.99601594	1.5936255	2.58964143
24–2	0.39292731	0.58939096	0.78585462	0.98231827	1.57170923	2.1611002
24–3	0.19607843	0.19607843	0.39215686	0.58823529	0.98039216	2.15686275
AVE	0.27763944	0.16606018	0.41213683	0.67403877	1.16474936	2.34347547
STD	0.30297441	0.42303097	0.4466812	0.38062985	0.36415334	0.48710697
25–1	0.97276265	1.3618677	0.97276265	−0.3891051	2.33463035	3.307393
25–2	0.58139535	0.7751938	1.1627907	1.35658915	2.13178295	3.68217054
25–3	0.19379845	0.7751938	0.96899225	1.35658915	2.13178295	3.29457364
AVE	0.45116983	0.83739447	0.96664929	1.09952975	1.75924204	2.90079797
STD	0.36103677	0.35238932	0.20564426	0.78459873	0.68956691	0.68802374
26–1	0.19493177	0.19493177	0	0.19493177	0.7797271	0.97465887
26–2	0	0.19685039	0.39370079	0.59055118	0.98425197	0.98425197
26–3	0	0.19493177	0.38986355	0.58479532	0.58479532	0.97465887
AVE	0.00046571	−0.0152772	−0.0149042	0.08262402	0.29396033	0.50416634
STD	0.14217507	0.23949184	0.39037919	0.47647938	0.59713252	0.64629725
27–1	0.1953125	0.390625	0.1953125	0.390625	0.5859375	0.78125
27–2	0	0	0	0.19569472	0.19569472	0.58708415
27–3	0	0	0	0.1980198	0.3960396	0.79207921
AVE	0.11425168	0.17951598	0.21200411	0.30991819	0.45682078	0.65277685
STD	0.10085458	0.15545966	0.15526831	0.13046351	0.17355706	0.17489093
28–1	0	0.39138943	0.39138943	0.39138943	0.58708415	2.15264188
28–2	0.1953125	0.390625	0.5859375	0.78125	0.9765625	1.5625
28–3	0.39525692	0	0.19762846	0.59288538	0.59288538	1.38339921
AVE	0.08186201	0.1959193	0.29408819	0.62104836	0.73536437	1.35660623
STD	0.17704438	0.23642347	0.27063379	0.54055907	0.38343905	0.44541389
29–1	0	0.19417476	0.19417476	0.38834951	1.16504854	1.55339806
29–2	0	0.19646365	0.58939096	0.78585462	1.17878193	2.1611002
29–3	0.19685039	0.39370079	0.59055118	0.59055118	1.37795276	2.55905512
AVE	0.1142533	0.29396264	0.4736716	0.70256093	1.11090601	2.15626204
STD	0.1310061	0.21350151	0.22865448	0.28425923	0.31783635	0.50658062

Table 1

Extruded rWTB composite formulation.

Sample #	Pine (40 mesh) (%)	Pine (60 mech) (%)	3.18 mm MSS rWTB (%)	1.59 mm MSS rWTB (%)	Talc (%)	MAP (%)	Silane (%)	HDPE(%)
1	55		0		6			36
2			40		6			51
3			45		6			46
4			50		6			41
5			55		6			36
6			60		6			31
7			50					47
8			55					42
9			60					37
10		55						42
11		55			6			36
12		55				2		40
13		54.5					0.5	42
14				50				47
15				55				42
16				60				37
17				50		2		45
18				55		2		40
19				60		2		35
20				49.5			0.5	47
21				54.5			0.5	42
22				59.5			0.5	37
23		13.75		41.25				42
24		27.5		27.5				42
25		41.25		13.75				42
26				65		2		30
27				70		2		25
28				65				32
29				70				27

Experimental design, materials, and methods

Materials

Recycled wind turbine blade (rWTB) material was supplied by Global Fiberglass Solutions at an incoming moisture content of 1.25%. A high-density polyethylene (HDPE) (0.3 MFI) was obtained from a commercial vender and used as the matrix for the second-generation extruded composite. The rWTB material was hammer-milled through 3.18, and 1.59 mm screen size (MSS) and particle size distribution of the refined material was performed with Ro-Tap sieve analysis procedures [2]. A commercially available 60-mesh pine (P. stobus) was used for baseline comparison to the rWTB filled extrudate. Methacryloxypropyltrimethoxysilane (Silane) (Gelest Inc.) and maleic anhydride polyethylene (MAPE) were used as the coupling agents [3].

Extruded rWTB composite preparation

The various milled size fractions of rWTB material were mixed with high density polyethylene, non-metallic stearate lubricant, MAPE and silane as coupling agents were also added to the formulation. Silane was received in a liquid form and sprayed to rWTB materials. They were then blended for 15 minutes and dried for 10 hours at 60 °C in an oven [4]. MAPE was added to the dry blend as a pellet. For comparison purposes, a commercial 60-mesh pine was used as a feedstock source.

Thickness swell and water sorption properties

To evaluate the thickness swell and water sorption of extruded rWTB composites, water immersion studies were performed in accordance with ASTM D1037-12 [5]. The samples were immersed until samples achieved an equilibrium state, where a negligible change in sample mass was observed or reached 2000 hours of immersion. The reference for the test was the composite (WPC) made from 60-mesh pine wood flour.

Comparing the data of thickness swell and water sorption for rWTB composites with WPCs shows a significant influence of rWTB material to reduce water sorption and thickness swell of extruded composites. After 2000h of water immersion, the thickness swell of composites with 0% pine (55% rWTB) was dramatically lower than the wood filled composite Due to the hydrophilic nature of wood, the addition of pine flour to the composite an expected increased the thickness swelling and water sorption was observed. However, even at a low loading of wood flour (13%) there was a 3x increase in dimensional change and weight gain compared to the composites with only rWTB material.

Considering the influence of MSS on the thickness swelling of composites, reducing the MSS from 3.18 mm to 1.59 mm had no visible influence on thickness swelling of composites. However, with water sorption, there did appear to be a slight increase in water uptake with the larger MSS material as seen in Table 2, Table 3

Modifying the composites with MAPE reduced the water sorption of composites significantly. Increasing the rWTB content up to 70% increased water sorption as well on the contrary, modifying the extruded composites with silane increased the water sorption and thickness swell of composites as shown in Table 2, Table 3

Specifications Table

Subject area	Composite material
More specific subject area	Recycling thermoset composite material
Type of data	Table
How data was acquired	Physical properties are obtained by experimental method using ASTM 1037-12.
Data format	Raw, analyzed
Experimental factors	Thickness swelling, Water sorption
Experimental features	The test specimen shall be 6 by 6 in. (152 by 152 mm) in size with all four edges smoothly and squarely trimmed.
Data source location	Composites Materials and Engineering Center at Washington State University
Data accessibility	Data are accessible in this article.
Related research article	Mamanpush, S.H., Li, H., Englund, K. Tabatabaei A.T. Waste Biomass Valor (2019). https://doi.org/10.1007/s12649-019-00659-0[1].

Value of the data• Researchers could be referred to this dataset to design and analyze different experiments on recycled win turbine blades • Thickness swelling and water sorption of recycled wind turbine blade composites presented that give the researchers clear vision about their physical properties. • Physical properties data of recycled wind turbine blades are important because of lack of comprehensive study in this field.