To address the poor wear resistance

inadequate wettability

and weak retention of diamond grains in CuSnTi filler metal

this study employed the Box-Behnken Design (BBD) response surface methodology to optimize the composition of CuSnTi filler modified with Ni

In

Fe

and Si. The contents of these four elements were set as influencing factors

while the wetted area and wear loss of the filler served as response variables. Highly significant second-order regression models were established to correlate composition with target performance

showing good fitting and predictive ability. Analysis of elemental interactions revealed that low Ni is a prerequisite for achieving the dual objectives

high In enhances wettability

and high Fe combined with medium Si produces a synergistic effect. A multi-objective genetic algorithm was used for global optimization

resulting in the optimal composition of Ni 1.23 wt.%

In 2.87 wt.%

Fe 4.85 wt.%

and Si 0.58 wt.%. Verification experiments showed a wetted area of 100.86 mm

2

and wear loss of 5.05 mg with good repeatability. Compared with CuSnTi filler

the modified filler exhibited a 20 °C lower melting temperature

16.23% increased wetted area

37.5% higher microhardness

and 49.5% reduced wear. Diamond wheels brazed with the modified filler achieved a 91.4% increase in material removal of Al

2

O

3

ceramics

more stable frictio

n coefficients

and significantly enhanced grain retention

effectively improving grinding efficiency and service life of diamond tools.