Academic literature on the topic 'KfRed]'

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Journal articles on the topic "KfRed]"

1

गावंडे, गीता भाऊराव. "संत जनाबाई यांची बहुआयामी काव्यप्रतिभा". International Journal of Advance and Applied Research 5, № 44 (2024): 185–87. https://doi.org/10.5281/zenodo.14710678.

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<strong>सारांश:-</strong> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; ckjkO;k 'krdke/;s egkjk"V&ordf;kr okjdjh la&ccedil;nk;kpk ik;k jpY;k xsyk- vBjk ixM tkrhae/kwu vusd lar] oS".ko] okjdjh ,d= vkys o v/;kfRed yksd'kkgh &ccedil;LFkkfir dsyh- ;kpkp ifj.kke Eg.kwu lkekftd] lkaL&mdash;frd o lkfgfR;d {ks=krgh fo'ks"k &Oslash;karh ?kMyh- laL&mdash;r e/khy Kku &ccedil;Fkep Kkus'ojkauh Kkus'ojhP;k :ikus ejkBhr vk.kwu ejkBh lkezkT;kr cz&atilde;fo|spk t.kw lqdkG dsyk- R;keqGs lkekU; ek.klkauk 'kw&aelig;krh'kw&aelig;kauk Kku xzg.k dj.;kpk o lkfgR;] dkO; fyfg.;kpk vf/kdkj &ccedil;kIr &gt;kyk- ^Eg.kkSfu dqG tkfr o.kZ A gs vk?kosph xk vdkj.kA**<sup>1</sup> ;k&ccedil;ek.ks Hk&auml;h dj.;klkBh dqG] tkr] o.kZ] xjhc] Jhear] L=h] iq#"k v'kh dqByhgh e;kZnk jkfgyh ukgh- lokaZlkBh Kkukps] Hk&auml;hps nkj m?kMs &gt;kys- R;keqGs lektkP;k loZp Lrjkae/kwu lar doh o dof;=h mn;kl vkys- lar fuo`&Ugrave;kh] Kkunso] lksiku] eq&auml;kckbZ] pkaxnso] tukckbZ] pks[kkesGk] lks;jkckbZ] fueZGkckbZ] dkUgksik=k] lsuk Ugkoh] lar ukenso] folksck [kspj] lkork ekGh] xksjksck dqaHkkj] tksxk ijekuan] cadk bR;knh larkaph ekafn;kGh pa&aelig;HkkxsP;k okGoaVkr loZ &ccedil;dkjpk HksnHkko fol:u ,d= teyh o ,d:irsus vkiys lokaZps vkjk/; nSor Eg.ktsp ia&lt;jhP;k ikaMqjaxkP;k Hk&auml;hr yhu &gt;kyh- ;k ekafn;kGhus egkjk"V&ordf;kyk lkekftd o lka&mdash;frdfjR;k cnywu Vkdys- rRdkyhu egkj"V&ordf; jktdh; o lkekftd &ndash;"Vhus nqcZy cuyk gksrk- jkT;koj lnSo ijdh; vk&Oslash;e.kkpa lkoV iljysya vlk;pa vkf.k lekt vkre/kwu :&lt;h] ijaijk] ozr oSdY; ;kauh iks[k:u xsyk gksrk- v'kkosGh L=hLokra&laquo;; fdrh /kksD;kr vlsy ;kph vki.k dYiuk d: 'kdrks- vls vlys rjh v/;kfRed {ks=kr &gt;kysY;k &Oslash;karhpk ifj.kke Eg.kwu lar eq&auml;kckbZ] tukckbZ] lks;jkckbZ] fueZGkckbZ] egnack ;k lar dof;=hauh fuHkhZMi.ks dkO;jpuk d:u lkekftd] lkaL&mdash;frd] v/;kfRed o lkfgR;{ks=kr &Oslash;karh d:u vkiY;k &ccedil;frHkspk Blk meVoyk-
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2

Talekar, P. R. "ekS;Z ;qxhu Lrwi okLrqdyk ,oa ekS;ksZÙkj Lrwi okLrqdyk dk fo"ys'k.k." International Journal of Advance and Applied Research 5, no. 19 (2024): 8–10. https://doi.org/10.5281/zenodo.12632338.

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<strong>Lkkjka&rdquo;k %</strong> Hkkjrh; /keZ dh ifjf/k fo&rdquo;kky jgh gSA /keZ ds vkn&rdquo;kZ fopkj esa lekt dh oLrq,&iexcl; Hkh lacaf/kr jgha gSA Hkkjrh; dyk ds fodkl esa /kkfeZd] izo`f&Ugrave;k;k&iexcl; ges&rdquo;kk egRoiw.kZ fl) gqbZ gSSA ikSjkf.kd ;qx esa /keZ dks ekuork dk loZJs&rsquo;B vax ekuk tkrk gSA eks{k dh izkfIr ekuo ds thou&amp;n&rdquo;kZu esa vafre lh&lt;+h ekuk x;k FkkA eks{k dh izkfIr ds fy, ekuo ges&rdquo;kk iz;Ru&rdquo;khy jgk gSA Hkkjrh; nk&rdquo;kZfudksa us lHkh nk&rdquo;kZfud dk;ksZa dk ,d gh m&Igrave;s&rdquo;; ekuk gSA dk;ksZa ls vk/;kfRed rFkk lkalkfjd oSHko dks izdV djrs gSA /kkfeZd n`f&rsquo;Vdks.k ls ekuo dks ,sls dk;Z djus dh izsj.kk nsrk gS ftlls y{; dh vksj vxzlj gks ldsA rhFkZ;k=k] iwtk ikB ds vfrfjDr nku dks egRoiw.kZ LFkku fn;k x;k gSA ekuo thou dks izsj.kk nsus ds fufe&Ugrave;k /kkfeZd Hkouksa dk fuekZ.k djrk gSA tks lekt dks n`&rsquo;Vkar mifLFkr dj ldsA<strong><sup>1 </sup></strong>,sls dk;ksZa dks djus ls /kkfeZd Hkkouk dh o`f) gksxhA ;gh dkj.k gS fd /kkfeZd Hkkouk Hkkjrh; dyk esa vksr&amp;izksr gSA
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3

f}osnh, iq:"kksRre. "euqLe`fr esa izfrfcafcr izkphu Hkkjrh; fof/k O;oLFkk." International Journal of Advance and Applied Research 5, no. 19 (2024): 117–19. https://doi.org/10.5281/zenodo.12634834.

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<strong>lkjka'k % </strong> ekuo esa ckSf)drk ,oa lH;rk ds fodkl ds pj.k ls ysdj orZeku ;qx rd ekuo us ftrus Hkh vius jktuhfrd] lkekftd] vkfFkZd] lkaLd`frd] oSKkfud o vU; mn~ns&rdquo;;ksa dks izkIr fd;k gS mlesa ,d vfr egRoiw.kZ LFkku fof/k O;oLFkk dk jgk gS ftldk vk/kkj uSfrd lnkpkj ,oa /keZ jgk gS ftls le; ds lkFk vusdksa ukeksa ls tkuk tkrk gSA tSlk fd ge ns[krs gSa rks ikrs gSa fd tSls &amp; jhr] /keZ] deZ] fof/k vkfn ukeksa ls tkuk tkrk gSA vkt dh fof/k O;oLFkk ftl U;k; vkSj lR; dks izkIr djus dk iz;kl dj jgh gS mldks izkphu fof/k O;oLFkk esa ge ns[krs gSa vkSj ikrs gSa dh tks vkt lEiw.kZ txr U;k; vkSj lR; dh [kkst dj jgk gS vkSj fof/k O;oLFkk dks lqO;ofLFkr djus esa tqVk gqvk gS mls izkphu Hkkjr dh fof/k O;oLFkk esa ns[kk tk ldrk gS fd vk/;kfRed vkSj lnkpkjh ewY;ksa ij vk/kkfjr Hkkjrh; fof/k O;oLFkk esa lnkpkj ,d fo&rsquo;k; oLrq dk gksuk Bhd mlh izdkj ls egRoiw.kZ gS] ftl izdkj thou jl dk gksuk egRoiw.kZ gksrk gS ftl izdkj thou jl ds fcuk dksbZ e`r gks tkrk gS Bhd mlh izdkj lnkpkjh ewY;ksa ds fcuk fof/k O;oLFkk Hkh e`r gks tkrh gS ,slh O;oLFkk lekt dks mPp thou ds fy, ekxZn&rdquo;kZd dk dke djrh gS tgka ij bu lnkpkjh ewY;ksa dks LFkku fn;k tkrk gS] mlds dk;Z djus dh &ldquo;kfDr&rdquo;kkyh bPNk dks izkIr djus esa vfr egRoiw.kZ Hkwfedk vnk djrs gSa blfy, izkphudkyhu _f&rsquo;k;ksa] eqfu;ksa us fof/k O;oLFkk ds v/;;u vkSj izorZu esa lnkpkfjrk vkSj lR; dks egRoiw.kZ LFkku fn;kA
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4

pkSjfl;k, MkW. eanhi dqekj. "izkphu e`.ewfÙkZ dyk % cDlj ds lanHkZ esaa." International Journal of Advance and Applied Research 5, no. 19 (2024): 87–90. https://doi.org/10.5281/zenodo.12634416.

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<strong>Lkkjak'k</strong>%&amp;&nbsp;&nbsp; &nbsp;cDlj izkphu dky ls gh vk&egrave;;kfRed] ,sfrgkfld ,oa iqjkrkf&Ugrave;od n`f"V ls egRoiw.kZ uxj jgk gSA ,sls rks bldh [kkl igpku jkek;.k dky ls lacaf/kr ?kfVr ?kVukvksa ls gSA ysfdu cDlj iqjkr&Ugrave;o ds n`f"Vdks.k ls Hkh vR;ar egRoiw.kZ gSA ;gk&iexcl; gq, mR[kuu ls ,d ls c&lt;+dj ,d iqjko'ks"k dh izkfIr gqbZ gSA bu iqjko'ks"kksa esa lcls egRoiw.kZ iqjko'ks"k ;gk&iexcl; ls izkIr e`.ewf&Ugrave;kZ;k&iexcl; gSA ftUgs ge fofHkUu dkyksa esa ck&iexcl;Vdj ns[krs gSa tSls izkd~ ekS;Z dky] ekS;Z dky] 'kqax dky] dq"kk.k dky] xqIr dky vkfnA ;s e`.ewf&Ugrave;kZ;k&iexcl; ml le; ds dyk ds ckjs esa gesa egRoiw.kZ tkudkjh nsrh gSa fd ekS;Z dky ds iwoZ Hkh dykdj bruh izfrHkk ds /kuh Fks] ftUgksus bl izdkj dh e`.ewf&Ugrave;kZ;ksa dk fuekZ.k fd;kA ;s e`.ewf&Ugrave;kZ;k&iexcl; gesa ml le; ds lkekftd rFkk /kkfeZd thou ls lacaf/kr egRoiw.kZ tkudkjh nsrh gSA cDlj ls izkIr vU; e`.ewf&Ugrave;kZ;ksa dh ckr dh tk; rks ekS;Zdkyhu e`.ewf&Ugrave;kZ;ksa dk viuk ,d fo'ks"k LFkku gSA cDlj fLFkr jkejs[kk ?kkV rFkk pfj=ou ds mR[kuu ls cgqr ls e`.ewf&Ugrave;kZ;ksa dh izkfIr gqbZ gS] tks viuh fo'ks"k izdkj dh ds'k&amp;lTtk rFkk vius os'k&amp;Hkw"kk ds fy, izfl) gSA bu ekS;Zdkyhu e`.ewf&Ugrave;kZ;ksa esa L=h dykd`fr;ksa dk viuk ,d fo'ks"k LFkku gSA bu e`.ewf&Ugrave;kZ;ksa esa n'kkZ;s x;s fo'ks"k izdkj ds QS'ku gesa if'peh ns'kksa esa viuk;s x;s QS'ku dh ;kn fnykrs gSa] tks gekjs ;gk&iexcl; bZLoh iwoZ esa gh fo|eku FkhA bu dkyksa ls lacaf/kr dbZ VsjkdksVk f[kykSus Hkh izkIr gq, gSaA bu lHkh dykd`fr;ksa dk laxzg LFkkuh; lhrkjke mik/;k; laxzgky; cDlj rFkk iVuk fLFkr iVuk laxzgky; ,oa fcgkj laxzgky; esa laxzfgr gSA&nbsp;
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5

Vavruk, Ana, Simone Saeki, Marcelo Nascimento, et al. "Consenso sobre a terminologia padronizada do processo de cuidado em nutrição para pacientes adultos com injúria renal aguda." BRASPEN Journal 36, no. 3 (2021): 227–44. http://dx.doi.org/10.37111/braspenj.2021.36.3.01.

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This consensus represents the collaboration among three professional organizations focused on nutrition: Brazilian Society of Nephrology (SBN), Brazilian Association of Nutrition (ASBRAN), Brazilian Society of Parenteral and Enteral Nutrition (Braspen/SBNPE), in order to identify the terminology and internationally standardized instruments for the nutrition care process. The focus is to facilitate the conduct of training for nutritionists who work with adult patients with acute kidney injury (AKI). Eleven questions were raised related to screening, the care process and the management of results in nutrition. The recommendations were based on international guidelines and electronic databases such as PubMed, EMBASE, CINHAL, Web of Science and Cochrane. From the submission of lists of internationally standardized terms, 20 specialist nutritionists selected those they considered very clear and relevant to clinical practice with patients with AKI. The Content Validity Index (CVI) was calculated, with 80% agreement in the responses, and then the kappa multirater free coefficient (kfree) was calculated. Kfree results above zero indicate agreement among experts, and below zero, zero agreement. The Grading of Recommendations, Assessment, Development and Evaluation (GRADE) was used to assign strength of evidence to the recommendations. 37 terms of Assessment and Reassessment (kfree 0.46), 13 of Diagnosis (kfree 0.60), 6 of Intervention (kfree 0.44) and 37 of Monitoring and Measurement in Nutrition (kfree 0.46) were selected. The list of selected terms and identification of instruments will help in planning training and implementing standardized terminology in nutrition in Brazil, for nutritionists who work with patients with AKI.
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Akbari, Ayub, Navdeep Tangri, Pierre A. Brown, et al. "Prediction of Progression in Polycystic Kidney Disease Using the Kidney Failure Risk Equation and Ultrasound Parameters." Canadian Journal of Kidney Health and Disease 7 (January 2020): 205435812091127. http://dx.doi.org/10.1177/2054358120911274.

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Background: The kidney failure risk equation (KFRE) is a validated risk algorithm for predicting the risk of kidney failure in chronic kidney disease (CKD) patients regardless of etiology. Patients with autosomal dominant polycystic kidney disease (AD-PCKD) experience long disease trajectories and as such identifying individuals at risk of kidney failure would aid in intervention Objective: To examine the utility of the KFRE in predicting adverse kidney outcomes compared with existing risk factors in a cohort of patients with AD-PCKD. Methods: Retrospective cohort study of AD-PCKD patients referred to a tertiary care center with a baseline kidney ultrasound and a KFRE calculation. Cox proportional hazards were used to examine the association of the KFRE and composite of an eGFR decline of &gt;30% or the need for dialysis/transplantation. Discrimination and calibration of a parsimonious fully adjusted model and a model containing only total kidney volume (TKV) with and without the addition of the KFRE was determined. Results: Of 340 patients with AD-PCKD eligible, 221 (65%) met inclusion criteria. Older age, cardiac disease, cancer, higher systolic blood pressure, albuminuria, lower eGFR and a higher initial TKV were more common in patients with a higher KFRE. A total of 120 events occurred over a median patient follow-up time of 3.2 years. KFRE was independently associated with the composite kidney outcome. Addition of the KFRE significantly improved discrimination and calibration in a TKV only model and a fully adjusted model. Conclusions: In a diverse, referral population with AD-PCKD, the KFRE was associated with adverse kidney outcomes and improved risk prediction.
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Tangri, Navdeep, Thomas W. Ferguson, Chris Wiebe, et al. "Validation of the Kidney Failure Risk Equation in Kidney Transplant Recipients." Canadian Journal of Kidney Health and Disease 7 (January 2020): 205435812092262. http://dx.doi.org/10.1177/2054358120922627.

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Background: Predicting allograft failure in kidney transplant recipients can help plan renal replacement therapy and guide patient-provider communication. The kidney failure risk equation (KFRE) accurately predicts the need for dialysis in patients with chronic kidney disease (CKD), but has not been validated in kidney transplant recipients. Objective: We sought to validate the 4-variable KFRE (age, sex, estimated glomerular filtration rate [eGFR], and urine albumin-to-creatinine ratio [ACR]) for prediction of 2- and 5-year death-censored allograft failure. Design: Retrospective cohort study. Setting: Four independent North American Cohorts from Ontario, Canada; Alberta, Canada; Manitoba, Canada; and Wisconsin, United States, between January 1999 and December 2017. Patients: Adult kidney transplant patients at 1-year posttransplantation. Measurements: Kidney failure risk as measured by the KFRE (eGFR, urine ACR, age, and sex). Methods: We included all adult patients who had at least 1 serum creatinine and at least 1 urine ACR measurement approximately 1 year following kidney transplantation. The performance of the KFRE was evaluated using the area under the receiver operating characteristic curve (C-statistic). C-statistics from the 4 cohorts were meta-analyzed using random-effects models. Results: A total of 3659 patients were included. Pooled C-statistics were good in the entire population, at 0.81 (95% confidence interval: 0.72-0.91) for the 2-year KFRE and 0.73 (0.67-0.80) for the 5-year KFRE. Discrimination improved among patients with poorer kidney function (eGFR &lt; 45 mL/min/1.73 m2), with a C-statistic of 0.88 (0.78-0.98) for the 2-year KFRE and 0.83 (0.74-0.91) for the 5-year KFRE. Limitations: The KFRE does not predict episodes of acute rejection and there was heterogeneity between cohorts. Conclusions: The KFRE accurately predicts kidney failure in kidney transplant recipients at 1-year posttransplantation. Further validation in larger cohorts with longer follow-up times can strengthen the case for clinical implementation.
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8

Bhachu, Harjeet Kaur, Anthony Fenton, Paul Cockwell, Olalekan Aiyegbusi, Derek Kyte, and Melanie Calvert. "Use of the kidney failure risk equation to inform clinical care of patients with chronic kidney disease: a mixed-methods systematic review." BMJ Open 12, no. 1 (2022): e055572. http://dx.doi.org/10.1136/bmjopen-2021-055572.

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Rationale and objectiveThe Kidney Failure Risk Equation (KFRE) predicts the risk of end-stage kidney disease in patients with chronic kidney disease (CKD). This study aimed to evaluate the impact of the utility of KFRE in clinical practice.Study designSystematic review.Setting and study populationsAdult patients with CKD but not receiving renal replacement therapy enrolled in studies where KFRE was used in clinical care pathways.Selection criteria for studiesAll studies published from April 2011 to October 2021 identified from Medline, Cumulative Index to Nursing and Allied Health Literature, Embase and reference and citation searches of included studies.Data extractionRelevant data were extracted, and two reviewers independently assessed study quality using appropriate appraisal tools.Analytical approachFindings reported as a narrative synthesis due to heterogeneity of the included studies.ResultsOf 1635 studies identified, 440 duplicates were removed. The remaining 1195 titles and abstracts were screened. All five studies for full-text review were included in the analysis. Three uses of KFRE were assessed: (1) primary to specialty care interface; (2) general nephrology to multidisciplinary care transition; and (3) treatment planning. Evidence of impact on number of patient referrals into nephrology care was conflicting. However, wait times improved in one study. Although KFRE identified high-risk patients for increased multidisciplinary support, there was concern patients stepped down, no longer meeting eligibility criteria, may lack access to services.ConclusionsThis is the first systematic review of studies that have assessed the actual impact of KFRE in clinical practice with five studies of varying quality reported to date. Trials are in progress assessing the impact on clinical outcomes of using KFRE in clinical practice, and KFRE is being incorporated into guidelines for CKD management. Further studies are needed to assess the impact of KFRE on clinical care.Trial registration numberProtocol registered on PROSPERO before initiation of the study (Ref: CRD42020219926).
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Lillefosse, Kai-Gunnar, Thea Bjune, Trond Geir Jensen, and Sadollah Abedini. "Can Kidney Failure Risk Equation (KFRE) Predict ESRD in The Norwegian Population? Validation of the KFRE Equation, 10 Years Data from Vestfold, Norway." Medical & Clinical Research 10, no. 02 (2025): 01–06. https://doi.org/10.33140/mcr.10.02.02.

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Background: Chronic kidney disease occurs in approximately 11% of the adult population, and about 0.3% develops end-stage renal disease (ESRD) requiring kidney replacement therapy. The Kidney Failure Risk Equation (KFRE) can predict 2 and 5-year risk of dialysis in patients with CKD stages 3 to 5. Having a tool to predict ESRD within 2-5 years is of value to prioritize health resources for patients with moderate to high risk. The method has been validated in several other countries. Objective: To validate the KFRE method in a Norwegian population with CKD stages 3-5. Patients and Methods: A retrospective cohort study with 118 patients from Vestfold Hospital Trust, Norway. Results: The number of observed cases of ESRD requiring dialysis corresponded to increased KFRE-predicted risk. The KFRE predictions for 2 and 5-year risk of ESRD show an AUC of 0.66 (95% CI 0.53-0.77) and 0.62 (95% CI 0.52-0.74), respectively. This is consistent with findings from other countries. The results indicate that the KFRE method can also be very useful in clinical practice in Norway. Conclusion: KFRE can predict ESRD requiring dialysis in the Norwegian population. It is desirable to validate the method in a larger Norwegian population for more reliable results
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CHIN, C. W., and B. F. YOUSIF. "TRIBOLOGICAL BEHAVIOUR OF KFRE COMPOSITE." International Journal of Modern Physics B 24, no. 28 (2010): 5589–99. http://dx.doi.org/10.1142/s0217979210056232.

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This paper presents an attempt to use kenaf fibres as reinforcement for tribo-polymeric composite. Kenaf fibres reinforced epoxy (KFRE) composite was fabricated using a closed mould technique associated with vacuum system. Adhesive wear and frictional behaviour of the composite and neat epoxy (NE) were studied against polished stainless steel counterface using a newly developed block-on-disc (BOD) machine at 50N applied load, sliding distances (0–4.2 km) and sliding velocities of 2.8 m/s. The morphology of the worn surfaces of the composite and NE was studied using a scanning electron microscope (SEM). The result revealed that the longer the sliding distance is, the higher the weight loss. Up to 70% reduction in the weight loss was achieved when the epoxy was reinforced with the kenaf fibres. The wear mechanism was predominated by plastic deformation, in the resinous regions and debonding of fibres.
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Conference papers on the topic "KfRed]"

1

Singh, Narish, Dirk Rilling, and B. F. Yousif. "Kenaf Fibers for Tribo-Thermoplastic Composites." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-10167.

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In the present work, wear and frictional characteristics of thermoplastic epoxy resin reinforced with treated kenaf fiber (T-KFRE) is investigated. The T-KFRE composite was tested against smooth stainless steel using a block on disc (BOD) apparatus at 2.8m/s sliding velocity and variable applied loads (10–60N) and sliding distance (02.7km). The T-KFRE was investigated under Parallel (PO) in relation to sliding direction. Adhesive wear results revealed that T-KFRE has a superior and high degree of wear resistance when slid against a stainless steel counter face in comparison to neat epoxy. The friction coefficient varied between the ranges of 0.35 and 0.65 in relative to sliding distance of up to 2.7 km. SEM study showed different wear mechanism such as pitting, delamination, breakage and micro cracks especially for lighter applied loads. Meanwhile, heavier loads showed less damage to the surface, which in turn exhibited, better wear performance and frictional characteristics.
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