Nickel-based superalloys are widely used in fabrication of components in aero space and nuclear sectors due to excellent strength, corrosion resistance, good ductility and high-temperature resistance. Inconel 825 superalloy is predominantly used for making aircraft engine components. This work investigates single pass welding of Inconel 825 strips employing gas tungsten arc welding. Four weld parameters, viz. welding speed (V), welding current (I), arc length (N) and gas flow rate (GFR), were used to investigate ultimate tensile strength (UTS) of weld employing Box–Behnken design having 27 experiments. The welding current is found the most dominating factor followed by welding speed (V). Higher heat input with low welding speed increases deposition rate that ensures more strength in weldment. Microstructural analysis shows two different grain boundaries, i.e., solidification sub-grain boundaries and solidification grain boundaries, in fusion zone. Artificial neural network (ANN) modelling for UTS is developed, and its predictive capability is compared with multiple regression analysis. A new integrated ANN–TLBO-based soft computing modelling and optimization approach is proposed for obtaining optimum weld parameters to maximize weld strength. The proposed optimization methodology obtained maximum UTS of 701.73 MPa at optimal weld parameters I = 120 A, V = 180 mm/min, GFR= 12 l/min and N = 2.24 mm. Validation result was found highly encouraging with 0.60% error with confirmation experiment. The proposed method has better convergent capability with minimum number of iterations.

镍基超级合金具有出色的强度，耐腐蚀性，良好的延展性和耐高温性，因此广泛用于航空航天和核领域的部件制造中。Inconel 825超级合金主要用于制造飞机发动机部件。这项工作研究了采用钨极氩弧焊的Inconel 825钢带的单道焊接。四个焊接参数，即。焊接速度（V），焊接电流（I），电弧长度（N）和气体流速（GFR）被用于通过Box-Behnken设计进行的具有27个实验的焊接极限抗拉强度（UTS）。发现焊接电流是最主要的因素，其次是焊接速度（V）。较高的热量输入和较低的焊接速度会增加沉积速率，从而确保更高的焊接强度。显微组织分析表明，在熔合区有两种不同的晶界，即凝固亚晶界和凝固晶界。开发了用于UTS的人工神经网络（ANN）建模，并将其预测能力与多元回归分析进行了比较。为了获得最佳焊接参数以最大化焊接强度，提出了一种新的基于ANN–TLBO的集成软计算建模和优化方法。所建议的优化方法在最佳焊接参数I  = 120 A，V  = 180 mm / min，GFR = 12 l / min和N的情况下 获得了701.73 MPa的最大UTS= 2.24毫米。验证实验发现验证结果令人鼓舞，误差为0.60％。该方法具有较好的收敛能力，迭代次数最少。