چكيده به لاتين
Today, metal-based composites are highly sought after due to their strengths and are used in industrial fields, including automotive, aerospace, military, etc. Among these types of composites, we can mention aluminum-based composites, in which aluminum, which has properties such as lightness, softness, and low rigidity, is used as the base material, and materials such as SiC, which are hard and high-strength materials, are used. They are used as additives. Therefore, the production of light material with high strength is formed. The most important advantages of metal-based composites are high strength-to-weight ratio, good corrosion resistance, excellent fluidity and castability, hot crack resistance, good weldability, and low thermal expansion coefficient. Among the disadvantages of this type of composites is low machinability and high wear of cutting tools, which limits their use in some cases. Limited research has been done on the effect of different cooling methods, especially cryogenic cooling and cryonic cooling strategies on the wear and life of cutting tools, which shows that the use or non-use of cutting fluid in the machining of these materials is related to the subject. It has become a challenge among researchers. Therefore, in this thesis, the effects of cutting parameters and cryogenic cooling on the wear of cutting tools (chip surface and side surface) and the surface roughness of the work piece have been investigated and the results obtained with the previous observations that were made with dry cooling methods, MQL and Immersion has been done and has been compared and investigated. In this research, the effectiveness of cooling in reducing tool wear was proven. It was reported that the life of the tool increased by 26% compared to the dry state. Based on the statistical analysis, it was observed that that the effect of shearing parameters and cryogenic cooling parameters was significant (R2 = 97%) and was statistically reliable. Based on the analysis, it was observed that the effect of shearing and cooling parameters on quality components The studied level (Ra) was not optimal and the statistical results were associated with R2 around 65% for the cryogenic cooling method. Also, the optimal conditions in cryogenic cooling to reduce tool wear and the most effective parameters of cryogenic cooling on life The tool was introduced according to the analysis of variance and P-value.The regression analysis between the wear of the tool and the surface quality (Ra) showed the R2 value to be around zero.
