Titanium based alloys and composites have excellent strength and stability in high thermal condition, excellent resistance to creep, wear and corrosion, light weight and bio-compatible properties and are extensively used in defence, aerospace, spacecrafts, marine, automobile, sports and bio-medical applications. This paper presents an investigation based on a novel optimization algorithm called desirable grey relational analysis (DGRA) where experimental analysis is done on wire electro-discharge machining (WEDM) of a developed novel titanium hybrid composite having enhanced corrosion resistance, wear resistance, improved tribological and biocompatible properties than pure titanium, fabricated by laser engineered net shaping (LENS) process varying peak current (Ip) and pulse duration (PD) as main input process parameters. A mathematical model is proposed based on 2 factors 4 levels design of experiments on output response like surface roughness (SR) and satisfactory results are obtained and authenticated by the confirmatory test. Deionized water is used as dielectric medium. Diffused zinc-coated brass wire is used as tool electrode. SR enhances with the enhancement of Ip but reduces with PD. The process model is prepared and the optimum process parameters are hence determined. The best SR obtained experimentally is 1.31 µm (Ip, 3A, PD, 4 µs). One optimized solution is obtained where Ip is 4.666 A, PD is 17.092 µs, SR is 1.742 µm, standard error (StdErr) of Design is 0.049 and Desirability is 0.900. The novelty lies in the combination of desirability function and grey relational analysis where experimental SR measured at optimized condition gets improved by 2.78% by desirability approach and further improves to 7.29% when predicted with DGRA.

钛基合金和复合材料在高温条件下具有出色的强度和稳定性，在蠕变，磨损和腐蚀方面具有出色的抵抗性，重量轻且具有生物相容性，并广泛用于国防，航空航天，航天器，船舶，汽车，体育和生物医疗应用。本文提出了一种基于新型优化算法的研究，该算法被称为“理想的灰色关联分析”（DGRA），其中对已开发的新型钛杂化复合材料进行了电火花加工（WEDM）的实验分析，该复合材料具有增强的耐腐蚀性，耐磨性和摩擦学性能激光工程网成形（LENS）工艺将峰值电流（Ip）和脉冲持续时间（PD）作为主要输入工艺参数，从而制造出比纯钛更好的生物相容性。提出了基于2个因子，4个级别的输出响应（如表面粗糙度（SR））实验设计的数学模型，并通过验证测试获得了令人满意的结果并进行了验证。去离子水用作电介质。扩散的镀锌黄铜线用作工具电极。SR随着Ip的增强而增强，但随着PD的降低而减小。准备过程模型，然后确定最佳过程参数。通过实验获得的最佳SR为1.31 µm（Ip，3A，PD，4 µs）。获得了一种优化的解决方案，其中Ip为4.666 A，PD为17.092 µs，SR为1.742 µm，设计的标准误差（StdErr）为0.049，可取性为0.900。新颖之处在于合意函数与灰色关联分析的结合，其中在优化条件下测得的实验SR提高了2。