Al 7075 is a renowned high-strength engineering material used in automotive and aerospace applications, wherein many functional cylindrical parts are subjected to internal or external loads. Engineered parts with form errors (cylindricity CE and circularity error Ce) result in undesirable vibration and high deformation in rotating parts. In addition, reduced surface roughness (SR) and thrust forces (TF) are essential to limit the secondary process (namely, polishing) and power consumption. Experiments are performed based on central composite design considering drilling parameters (point angle, cutting speed, and feed rate) as inputs and output performances as CE, Ce, TF, and SR. It is noted that, except feed rate for Ce, all other parameters are found significant toward the output performance. Also, prediction accuracy with ten random experimental cases resulted with the percent error of 8.4% for SR, 5.41% for TF, 10.64% for Ce, and 10.35% for CE, respectively. Continuous ribbon-like chips at higher cutting speed, loose fragmented chips at higher feed rate, and increased arc length and radius at higher point angle were observed from the chip morphology analysis. Criteria importance through inter-criteria correlation (CRITIC) method applied to determine the weight fractions for Ce, CE, TF, and SR was found equal to 0.2802, 0.1991, 0.3293, and 0.1914, respectively. Four algorithms (genetic algorithm GA, particle swarm optimization PSO, teaching learning-based optimization TLBO, and JAYA algorithm) were applied to determine the optimal drilling conditions. JAYA algorithm determined optimized drilling conditions ensure predicted output values found close to experimental values with an acceptable percent error of 10.8% for Ce, 8.9% for CE, 6.73% for SR, and 3.51% for TF, respectively.

Al 7075是一种著名的高强度工程材料，用于汽车和航空航天应用，其中许多功能性圆柱零件都承受内部或外部载荷。具有形状误差（圆柱度CE和圆度误差Ce）的工程零件会导致旋转零件产生不希望的振动和高变形。此外，减小表面粗糙度（SR）和推力（TF）对于限制二次加工（即抛光）和功耗至关重要。基于中央复合设计进行的实验将钻削参数（尖角，切削速度和进给速率）作为输入和输出性能，例如CE，Ce，TF和SR。值得注意的是，除了Ce的进给速度外，所有其他参数都对输出性能有重要影响。还，十个随机实验案例的预测准确度分别导致SR的百分比误差为8.4％，TF的误差为5.41％，Ce的误差为10.64％，CE的误差为10.35％。从切屑形态分析中可以观察到，在较高的切削速度下，连续的带状切屑，在较高的进给速率下的松散碎屑以及在较高的尖角处增加的电弧长度和半径。通过标准间相关性（CRITIC）方法确定的Ce，CE，TF和SR的重量分数，其标准重要性分别等于0.2802、0.1991、0.3293和0.1914。四种算法（遗传算法 从切屑形态分析观察到在较高的点角处弧长和半径增加。通过标准间相关性（CRITIC）方法确定的Ce，CE，TF和SR的重量分数，其标准重要性分别等于0.2802、0.1991、0.3293和0.1914。四种算法（遗传算法 从芯片形态分析可以看出，在较高的点角处弧长和半径都增加了。通过标准间相关性（CRITIC）方法确定的Ce，CE，TF和SR的重量分数，其标准重要性分别等于0.2802、0.1991、0.3293和0.1914。四种算法（遗传算法遗传算法，粒子群优化粒子群算法，基于教学学习的优化算法TLBO和JAYA算法）确定了最佳钻井条件。JAYA算法确定了优化的钻探条件，可确保找到的预测输出值接近实验值，铈的可接受百分比误差分别为10.8％，CE 8.9％，SR的6.73％和TF的3.51％。