首页> 外文期刊>International journal of agile systems and management >Application of response surface methodology in evaluating the performance of conventional, wiper, cryogenically treated and coated (TiN, TiAIN and TiCN) carbide inserts in turning of AISI 52100 steel
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Application of response surface methodology in evaluating the performance of conventional, wiper, cryogenically treated and coated (TiN, TiAIN and TiCN) carbide inserts in turning of AISI 52100 steel

机译:响应表面方法在评估AISI 52100钢车削中常规,刮水器,深冷处理和涂层(TiN,TiAIN和TiCN)硬质合金刀片的性能中的应用

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摘要

The performance of untreated/uncoated, wiper, deep cryogenically treated, and coated (TiN, TiAlN and TiCN) carbide inserts using response surface methodology in turning of AISI 52100 steel, was evaluated in this study. Type of insert, cutting speed, feed and depth of cut were the factors investigated. The response variables analysed were tool flank wear and surface roughness. Basing on RSM central composite design, an experimental plan (L18 OA) was developed. The ANOVA results signify that the suggested mathematical models could adequately elucidate the performance indicators within the range. The generated regression equation reveals that the flank wear is mainly influenced by the type of insert followed by cutting speed. The surface roughness was majorly affected by the type of insert followed by feed rate. Machined surface topographies and tool flank wear mechanism were analysed by examining the SEM micrographs. RSM multi-response optimisation was executed so as to optimise the turning parameters.
机译:在本研究中,评估了使用响应表面方法在AISI 52100钢的车削中未经处理/未经涂层,擦拭,深冷处理和涂层(TiN,TiAlN和TiCN)的硬质合金刀片的性能。刀片类型,切削速度,进给和切削深度是研究的因素。分析的响应变量是刀具侧面磨损和表面粗糙度。基于RSM中央复合设计,制定了实验计划(L18 OA)。方差分析结果表明,建议的数学模型可以充分阐明该范围内的性能指标。生成的回归方程表明,后刀面磨损主要受刀片类型以及切削速度的影响。表面粗糙度主要受刀片类型和进给速度的影响。通过检查SEM显微照片分析了机加工的表面形貌和刀具侧面磨损机理。执行RSM多响应优化,以优化转弯参数。

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