Abstract
This paper deals with the optimization of process parameters (such as cutting speed and feed rate) to minimize surface roughness in the turning of a titanium alloy (Ti-6Al-4V) workpiece with spherical shape. In the first part of the article, based on the results analysis, a mathematical model is developed. It is shown that cutting speed has little effect on the surface roughness. The second part of the paper presents the application of the developed method to optimize cutting data such as feed rate in order to obtain the surface roughness parameters Ra and Rz of the curvilinear surface of the titanium alloy workpiece at acceptable and aligned, values regardless of the surface shape and its tilted angle. A case study verifies the correctness of the proposed method. The machining time was substantially shortened in comparison to the non-optimized cutting process.
Highlights
Nowadays, titanium and its alloys are widely used in various areas, such as the aerospace, medical and automotive industries, due to their excellent properties [1]
The results analysis of the experiment showed the significant effect of the feed rate f and the tilted angle of surface on the surface roughness The results analysis indicated the insignificant impact of cutting speed on the surface roughness parameters (Ra and Rz)
The research analysis presented in this paper concerns the significant problem of the locally variable roughness of curvilinear surfaces occurring after turning
Summary
Titanium and its alloys are widely used in various areas, such as the aerospace, medical and automotive industries, due to their excellent properties (e.g., high strength-to-weight ratio and good corrosion resistance, relatively low density, high-temperature properties, excellent creep, biocompatibility) [1]. Titanium alloys are classified as difficult-to-cut materials. A rapid tool wear rate due to the low thermal conductivity and high chemical reactivity causes high cutting temperature at the cutting zone [4]. Difficult-to-cut materials generally make it challenging to obtain the required surface integrity, high performance and economic of machining [5]. Various methods and technologies have been developed to improve the quality of machined surface and to increase performance of machining [7]. Necessary optimization should simultaneously provide a short machining time and obtain the required quality of surface roughness. To minimize costs and increase performance machining, application of different values of cutting data can be used
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