Abstarct: Ultrasonic welding is a new and very useful technology in various industries. The use of this technology, due to its solid nature and non-melting of materials, brings significant advantages, especially for some mextals such as gold, silver, copper and aluminum. Considering that this process is a new method in the field of mextal joining and there is still no complete understanding of its nature, therefore, the need to conduct theoretical and experimental research is a necessity. In this research, the ultrasonic welding process was used to connect copper wire with a cross section of 2.5 square mm to an aluminum sheet with a thickness of 0.2 mm. The design of the experiment is baxsed on the response surface methodology and Box-Behnken design. Then, baxsed on the test design table, experimental tests were performed with a certain combination of static pressure, process execution time, and vibration amplitude percentage. Measurement tests including tensile test, electrical resistance test and corrosion resistance test were performed. The data obtained from tensile tests and electrical resistance measurements were statistically analyzed in Minitab software. The results of the analysis of variance (ANOVA) showed that the linear effects of the pressure and vibration amplitude variables along with the second order effects of each of them have an effect on the tensile force. Also, the linear effects of pressure and time along with the second-order effect of time have the greatest effect on electrical resistance. The results of comparing the corrosion condition among the five selected samples showed that the corrosion rate of welded samples is higher than that of copper wire but lower than that of aluminum sheet. In other words, welded samples have better corrosion resistance than aluminum sheet. Among the welded samples, the sample with the lowest tensile force had the highest corrosion resistance. In other words, the sample that has been welded with lower pressure has shown higher corrosion resistance. Also, the sample that has the highest tensile strength has the lowest resistance to corrosion rate. Single-objective optimization and double-objective optimization were performed using the desirability function and the optimal values of the input variables were extracted. The dual-objective optimization was performed with the aim of maximizing the tensile force and minimizing the electrical resistance with a desirability of 77.63%. Also, single-objective optimization with the aim of maximizing tensile force with 93.54% desirability and single-objective optimization with the aim of minimizing electrical resistance with 94.48% desirability was achieved. The results of the verification tests showed that there is a small percentage of error between the results of the optimization processes and the experimental tests, and therefore the accuracy of the regression models to predict the values of the response parameters is confirmed.