1198 KB22 KB200020242014Ameen, MohammedChandrasekaran, KesavanGanesh, RadhakrishnanKumar, Raja Pavanštevilka:3letnik:48str. 361-366COBISSID:1056170ISSN:1580-2949URN:URN:NBN:SI:doc-3PFU7MQIenInštitut za kovinske materiale in tehnologijeMateriali in tehnologijegrey relational analysishitrost obrabeoptimiranjeoptimizationpinpreizkušanecsiva relacijska analizatemperature risetribologijavpliv temperaturewear rateOptimization of the process parameters for dry-sliding wear of an Al 2219-SiCp composite using the Taguchi-based grey relational analysis| Optimiranje procesnih parametrov pri suhi obrabi z drsenjem kompozita Al 2219-SiCp s Taguchijevo sivo relacijsko analizo|This article focuses on an approach based on the Taguchi method with grey relational analysis for optimizing the process parameters for the dry-sliding wear of Al 2219-SiC particulate composites with multi-performance characteristics. The grey relational grade obtained with the grey relational analysis is used to optimize the process parameters. The optimum process parameters can then be determined with the Taguchi method using the grey relational grade as the performance index. The composite was fabricated via a powder-metallurgy route with the mass fractions of (10, 15 and 20) % and precipitated at (500, 550 and 600) °C. The dry-sliding-wear test was conducted on a pin-on-disc wear-testing machine for the normal loads of (10, 20 and 30) N and at disc speeds of (400, 500 and 600) r/min. The performance indicators of the wear test were the wear rate, the coefficient of friction, the friction force and the temperature rise of the pin. Further, optimization of the process parameters was performed using the Taguchi-based grey relational analysis followed by ANOVA to determine the percentage contributions of the process parameters to the wear performance of the composites. An L9 orthogonal array was used for the optimization study. The influences of individual process parameters on the wear performances of the composites are analyzed and presented in this studyČlanek obravnava približek, ki temelji na Taguchijevi metodi sive relacijske analize za optimiranje procesnih parametrov pri obrabi s suhim drsenjem zrnatega kompozita Al 2219-SiC z več zmogljivostmi. Za optimiranje procesnih parametrov so bile uporabljene sive relacijske stopnje, dobljene iz sive relacijske analize. Optimalne procesne parametre je mogoče določiti s Taguchijevo metodo z uporabo sive relacijske stopnje kot indeksom zmogljivosti. Kompozit je bil izdelan po postopku prašne metalurgije z masnim deležem (10, 15 in 20) % in izločenem pri (500, 550 in 600) °C. Preizkus obrabe pri suhem drsenju je bil izvršen na napravi "pin on disc" za preizkušanje obrabe pri obremenitvah (10, 20 in 30) N in hitrosti vrtenja plošče s (400, 500 in 600) r/min. Indikatorji zmogljivosti pri preizkusu obrabe so: hitrost obrabe, koeficient trenja, sila trenja in naraščanje temperature preizkušanca. Nadaljnja optimizacija parametrov procesa je bila izvršena s Taguchijevo sivo relacijsko analizo, ki ji je sledila ANOVA za določanje deleža parametrov procesa na vedenje kompozita pri obrabi. Ortogonalna namestitev L9 je bila vzeta za študij optimiranja. V tej študiji je predstavljen vpliv posameznih parametrov procesa na vedenje obrabe kompozitaTEXTznanstveno časopisjejournalsSlovenian National E-content AggregatorNational and University Library of SloveniaInštitut za kovinske materiale in tehnologije